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  • LEARN TO TEACH ON LINE

    DESCRIPCION PENDIENTE

  • INTRODUCCION A LA SUITE G DE GOOGLE

  • EXCEL BASICO INTERMEDIO AVANZADO

    PENDIENTE

    Acceso de invitados

  • Spreadsheets For Beginners using Google Sheets.

    Pendiente. 

  • METROLOGY (sem 3)

    LA HABILIDAD POCO COMÚN DE LA METROLOGIA.

    Aprender METROLOGIA es muy importante para los estudiantes de ingeniería porque lo ayuda a preprepararce para la industria del futuro. 

    Acceso de invitados

  • Introduction to Algebra (SEM 3)

    Introduction to Algebra Introduction to Algebra Solve equations, draw graphs, and play with quadratics in this interactive course! SchoolYourself Logo Starts Self-Paced Enroll Now I would like to receive email from SchoolYourself and learn about its other programs. Level: Introductory Effort: 4 - 6 hours/unit Subject: Math Institution: SchoolYourself Languages: English Video Transcripts: English Price: Free Add a Verified Certificate for $50 Share this course with a friend Share this course on facebook Share this course on twitter Share this course on linkedin Share this course on google plus Share this course via email Prerequisites None. About this course We live in a world of numbers. You see them every day: on clocks, in the stock market, in sports, and all over the news. Algebra is all about figuring out the numbers you don't see. You might know how fast you can throw a ball, but can you use this number to determine how far you can throw it? You might keep track of stock prices, but how can you figure out how much money you've made (or lost) in the market? And you may already know how to tell time, but can you calculate at what times a clock's hour and minute hands are exactly aligned? With algebra, you can answer all of these questions, using the numbers you already know to solve for the unknown. Algebra is an essential tool for all of high school and college-level math, science, and engineering. So if you're starting out in one of these fields and you haven't yet mastered algebra, then this is the course for you! In this course, you'll be able to choose your own path within each lesson, and you can jump between lessons to quickly review earlier material. AlgebraX covers a standard curriculum in high school Algebra I, and CCSS (common core) alignment is indicated where applicable. Learn more about our High School and AP* Exam Preparation Courses See more about Introduction to Algebra What you'll learn How to add, subtract, multiply, and divide positive and negative integers, decimals, and fractions How to evaluate powers and roots, and simplify expressions with exponents How to solve single-variable and multi-variable equations and inequalities How to graph lines and inequalities, using both slope-intercept and point-slope form How to graph quadratics, and solve for their roots using the quadratic formula Meet the instructors bio for Zach Wissner-Gross Zach Wissner-Gross bio for John Lee John Lee bio for Vivek Venkatachalam Vivek Venkatachalam bio for Kenny Peng Kenny Peng bio for Michael Fountaine Michael Fountaine bio for Stephen Face Stephen Face Pursue a Verified Certificate to highlight the knowledge and skills you gain ($50) View a PDF of a sample edX certificate Official and Verified Receive a credential signed by the instructor, with the institution logo to verify your achievement and increase your job prospects Easily Shareable Add the certificate to your CV, resume or post it directly on LinkedIn Proven Motivator Get the credential as an incentive for your successful course completion Enroll Now I would like to receive email from SchoolYourself and learn about its other programs.

  • Algebra for A-Level Maths (SEM 3)

    Algebra for A-Level Maths Supporting A-Level and GCSE students 21 ratings, 5973 students enrolled Instructed by Adam Goodridge Academics / Math & Science Free More options Lectures 28 Video 1 Hours Skill level intermediate level Languages English Includes Lifetime access 30 day money back guarantee! Available on iOS and Android Certificate of Completion Course Description Welcome to Algebra for A-Level Maths. This course is designed to support students who are taking A-Level Mathematics with the algebraic skills required to study Mathematics at a higher level. As an 11-19 Mathematics teacher I am regularly faced with having to go over algebra studied at GCSE level before moving onto the new, more difficult Mathematics. The idea of this course is for students to independently review previously taught algebra enabling more time in lessons to be spent on grasping new topics. This course is also suitable for students looking at the higher grades at GCSE level too. I have selected some of the GCSE topics that regularly appear at A- Level and produced a video showing examples followed by questions and answers. There is also a mini test at the end of each section. You will learn how to Solve equations with the unknown on both sides Solve equations with fractions Solve a quadratic equation Sketch a quadratic Use The Formula to solve a quadratic Complete the square Solve simultaneous equations (both linear) Solve simultaneous equations (one linear and one quadratic) Rearrange equations Learning Mathematics can not be achieved by passively reading. You need to actively learn Mathematics so make sure you have a pen and some paper at hand! I hope you enjoy the course and find it useful in your mathematical studies. Good luck! Full details What are the requirements? A basic grasp of algebra What am I going to get from this course? Over 28 lectures and 44 mins of content! To help bridge the gap between GCSE and A-Level Mathematics What is the target audience? Those studying or about to study AS Level Mathematics and higher GCSE students Curriculum Section 1: Introduction to 'Algebra for A-Level Maths' 1 Welcome Text Section 2: Solving Equations 2 Solving equations with the unknown on both sides 02:06 3 Time to Practise - Solving an equation with the unknown on both sides 1 slide 4 Check your answers - Solving an equation with the unknown on both sides 1 slide 5 Solving Equations With Fractions 03:48 6 Time to Practise - Solving equations with fractions 1 slide 7 Check your answers - Solving equations with fractions 1 slide 8 Solving Equations Test Yourself 2 questions Section 3: Solving and Sketching Quadratics 9 Solving a quadratic equation 01:28 10 Time to Practise - Solving a quadratic equation 1 slide 11 Check your answers - Solving a quadratic equation 1 slide 12 Sketching a quadratic 01:42 13 Time to Practise - Sketching a quadratic 1 slide 14 Check your answers - Sketching a quadratic 1 slide 15 The Formula 02:28 16 Time to Practise - The Formula 1 slide 17 Check your answers - The Formula 1 slide Section 4: Completing the Square 18 Completing the square 03:31 19 Time to Practise - Completing the square 1 slide 20 Check your answers - Completing the square 1 slide 21 Quadratics Test Yourself 3 questions Section 5: Simultaneous Equations 22 Simultaneous equations (both linear) 03:16 23 Time to Practise - Simultaneous equations (both linear) 1 slide 24 Check your answers - Simultaneous equations (both linear) 1 slide 25 Simultaneous equations (one linear and one quadratic) 04:15 26 Time to Practise - Simultaneous equations (one linear and one quadratic) 1 slide 27 Check your answers - Simultaneous equations (one linear and one quadratic) 1 slide 28 Simultaneous Equations Test Yourself 2 questions Section 6: Rearranging Equations 29 Rearranging equations 03:16 30 Time to Practise - Rearranging equations 1 slide 31 Check your answers - Rearranging equations 1 slide Instructor Biography Adam Goodridge , Director of Mathematics Hi. My name is Adam Goodridge and I am a Director of Mathematics at an 11-19 school in the West Midlands, England. I am passionate about teaching and Mathematics which was enhanced whilst completing a Mathematics and Statistics degree at the University of Liverpool. Whilst at University I was a founder member of the Maths Society and organised special guest speakers to enrich learning as well as starting and coaching netball, hockey, rugby and football teams that continue to compete in Intra-Mural leagues. I am on a mission to make learning Mathematics fun and hope my passion and enthusiasm for the subject comes out whilst teaching.

  • CALCULO VECTORIAL PARA INGENIEROS (SEM 3)

    The Hong Kong University of Science and Technology.

    Vector Cálculos - for Engineers.

    Descripción Del Curson

  • CALCULO MULTIVARIABLE-MIT (SEM 3)

  • Calculus One (SEM 3)

    Calculus One

    Bart Snapp

    Calculus One is a first introduction to differential and integral calculus, emphasizing engaging examples from everyday life.

    Workload: 6-10 hours/week
    Watch intro video
    Sessions:
    Aug 23rd 2013 (14 weeks long) Sign Up
    Future sessions
     

    About the Course

    Calculus is about the very large, the very small, and how things change.  The surprise is that something seemingly so abstract ends up explaining the real world.  Calculus plays a starring role in the biological, physical, and social sciences.  By focusing outside of the classroom, we will see examples of calculus appearing in daily life.

    This course is a first and friendly introduction to calculus, suitable for someone who has never seen the subject before, or for someone who has seen some calculus but wants to review the concepts and practice applying those concepts to solve problems.  One learns calculus by doing calculus, and so this course encourages you to participate by providing you with:

    • instant feedback on practice problems
    • interactive graphs and games for you to play
    • calculus projects and demos you can try at home
    • opportunities for you to explain your thought process

    Course Syllabus

    Week One: Functions and Limits 
    Week Two: Infinity and Continuity
    Week Three: Basics of Derivatives
    Week Four: Curve Sketching, The Product Rule and Quotient Rule
    Week Five: The Chain Rule
    Week Six: The Derivatives of Trigonometric Functions and their Inverses
    Week Seven: Applications of Differentiation
    Week Eight: Optimization
    Week Nine: Linear Approximation
    Week Ten: Antiderivatives
    Week Eleven: Integrals
    Week Twelve: The Fundamental Theorem of Calculus
    Week Thirteen: Techniques of Integration 
    Week Fourteen: Applications of Integration 

    Recommended Background

    Previous exposure to calculus is not expected; to succeed, a student should have seen algebra and trigonometry at the high school level.
    If you already know some calculus, you might consider the more advanced course by UPenn's Robert Ghrist, available at https://www.coursera.org/course/calcsing, or our Calculus Two course, available at https://www.coursera.org/course/sequence.
    If you are concerned about the background needed to begin calculus, you might consider the pre-calculus course by UCI's Sarah Eichhorn, available at https://www.coursera.org/course/precalculus

    Suggested Readings

    Throughout this course, students can refer to our free online calculus textbook. A preliminary version (which will be updated once the course starts) is available here: http://mooculus.osu.edu

    Other free resources will be provided during the course.

    Course Format

    The course consists of short lecture videos, typically between five and fifteen minutes in length.  Homework assignments, three midterms, and a final exam provide opportunities for feedback.

    FAQ

    Will I get a certificate after completing this class?

    Yes. Students who successfully complete the class will receive a certificate signed by the instructor.

    Other than an Internet connection, what resources will I need for this class?

    Mathematics is a human activity: to participate, pen and paper is highly recommended.

    What is the coolest thing I'll learn if I take this class?

    The coolest thing you'll learn is that all the cool things you learn are connected at the deepest level: whether it's where three bubbles meet, how to tell time with water, or how to calculate square roots by hand, there is one system which binds them together.

    About the Instructor

    Bart SnappThe Ohio State University

    Categories:
    Mathematics

  • STATISTICS ONE (SEM 3)

    Statistics One

    Andrew Conway

    Statistics One is designed to be a friendly introduction to very simple, very basic, fundamental concepts in statistics.

    Current Session:

    Sep 3rd 2012 (6 weeks long) Go to class
    Workload: 4-6 hours/week 
     

    About the Course

    Statistics One is designed to be a friendly introduction to very simple, very basic, fundamental concepts in statistics. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! It is also an open source programming language. What this means is you can download R, take this course, and start programming in R after just a few lectures. Statistics may seem like a foreign language, and in many ways it is. The ultimate goal of Statistics One is to get people all over the world to speak this language. So consider this your first course in a new and exciting universal language!

    About the Instructor(s)

    Professor Andrew Conwayis a Senior Lecturer in the Department of Psychology at Princeton University. He has been teaching introduction to statistics for undergraduate students and advanced statistics for graduate students for 16 years. The first 8 years of his teaching career were at the University of Illinois in Chicago. He has been at Princeton since 2004. Professor Conway is originally from upstate New York and did his undergraduate work at Union College in Schenectady, NY where he majored in Psychology and Computer Science. For graduate school, Professor Conway attended the University of South Carolina where he earned a Masters degree and Ph.D. in Experimental Psychology with a minor in Statistics. Professor Conway also maintains an active research program and is the Principal Investigator of the Human Working Memory Lab in the Psychology Department at Princeton. He and his graduate students investigate the cognitive and neural mechanisms underlying memory, attention, and intelligence. This work has resulted in over 40 publications in various journals in Psychology and Neuroscience. He is also an Associate Editor for the Journal of Cognitive Psychology.

    Course Syllabus

    • Week One: Random sampling and assignment. Distributions.
    • Week Two: Descriptive statistics. Measurement.
    • Week Three: Correlation. Causality.
    • Week Four: Multiple regression. Ordinary least squares.
    • Week Five: Confidence intervals. Statistical power.
    • Week Six: t-tests, chi-square tests. Analysis of Variance.

    Recommended Background

    Anyone and everyone is welcome to take this class.

    Suggested Readings

    Statistics, 4th Edition by Freedman, Pisani, & Purves. Norton Publishing (4th Edition)

    Course Format

    There will be three one-hour lectures per week. There will also be weekly quizzes and weekly "take-home" assignments. There will be a midterm exam and a final exam.

    FAQ

    • What resources do I need for this class?

      All you need is an internet connection!

    • Does Princeton award credentials or reports regarding my work in this course?

      No certificates, statements of accomplishment, or other credentials will be awarded in connection with this course.


    Categories:
    Statistics, Data Analysis, and Scientific Computing
    Acceso de invitados

  • SEGURIDAD E HIGIENE INDUSTRIAL AIU

  • Supply Chain and Logistics Fundamentals

    Supply Chain and Logistics Fundamentals

    SC1x is an introduction to the fundamental concepts for logistics and supply chain  management from both analytical and practical perspectives.

    About this Course

    Companies worldwide are leveraging supply chain management to create and maintain a strategic competitive advantage. This trend, in turn, is fueling a growing demand for supply chain professionals. This course is the first of three in the Supply Chain Management XSeries that is specifically designed to teach the critical skills needed to be successful in this exciting field.

    This first course, CTL.SC1x, provides the foundational skills for supply chain management and logistics. You will learn how to develop and apply analytic tools, approaches, and techniques used in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations.

    The main topic areas we will focus on are:

    • Demand Forecasting, Planning, and Management,
    • Inventory Planning, Management, and Control, and
    • Transportation Planning, Management, and Execution.

    While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an applied analytical course that addresses real problems found in practice.

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Free to All

    More about Auditing a Course

    or

    Pursue a Verified Certificate of Achievement

    Plan to use your completed coursework for job applications, promotions or school applications? Then you may prefer to work towards a verified Certificate of Achievement to document your accomplishment.

    Minimum fee required. see details

    What is an ID verified Certificate of Achievement?

    Course Staff

    • Dr. Chris Caplice

      Chris Caplice

      Dr. Caplice has been teaching logistics and supply chain management at MIT for over a decade. He is also responsible for the planning and management of the research, education, and corporate outreach programs for the MIT Center for Transportation & Logistics as well as MIT’s Global SCALE Network. He is the founder of the MIT FreightLab – a research initiative that focuses on improving the way freight transportation is designed, procured, and managed. Prior to joining MIT, Dr. Caplice held senior management positions in supply chain consulting, product development, and professional services at several companies to include Logistics.com, SABRE, and PTCG. He is also the Chief Scientist for Chainalytics, a leading analytical supply chain consulting firm. Dr. Caplice served five years in the Army Corps of Engineers, achieving the rank of Captain. He received a Ph.D. from MIT in 1996 in Transportation and Logistics Systems, a Master of Science in Civil Engineering from the University of Texas at Austin, and a Bachelor of Science in Civil Engineering from the Virginia Military Institute (VMI).

    Prerequisites

    Students should be familiar with basic undergraduate probability, statistics, and calculus.

  • Diploma in Supply Chain Management

    EXAMEN GLOBAL

  • Introduction to Computer Numerical Control (ING. JUAN VAZQUEZ CANTU)

    Introducción al Control Numérico por Computadora | Introduction to Computer Numerical Control

    El curso de Introducción al Control Numérico Computarizado te permitirá adquirir conocimientos básicos para la selección, programación y accionamiento de un CNC.
     
    The Introduction to Computer Numerical Control course provides basic knowledge for the selection, programming and operation of a CNC machine.

    Open Course
    Read all  8 Reviews5/5 average stars

    About this course

    Con este curso aprenderás a desarrollar y operar un proyecto con una máquina CNC, a través de la simulación de un caso real y con el objetivo de producir piezas de ajedrez para una empresa llamada “Jaque Mate”. De esta forma, irás adquiriendo los conocimientos necesarios para tomar decisiones en cada etapa del proyecto (desde la interpretación de un plano hasta el mecanizado y control de calidad de las piezas) y así cumplir con el pedido del cliente.

    Para resolver los desafíos que se proponen en cada sección, el curso cuenta con una serie de videos teóricos e interactivos que facilitan el aprendizaje del uso y control de una máquina CNC.

    What you'll learn

    Al finalizar el curso, los alumnos sabrán:

    • Operar una máquina controlada por un control numérico por computadora (CNC)
    • Entender los pasos a seguir en un proyecto de fabricación en una máquina con CNC
    • Programar las instrucciones de movimiento de una máquina con CNC

    Meet the instructors

    • bio for Jorge Muract
    • bio for La Escuela Técnica Roberto Rocca

    Free access to the best education, open to anyone

    • Real Classes

      The best classes from the best professors and universities

    • New skills

      Learn through cool tools, videos, quizzes and game-like labs

    • On your schedule

      Take courses when you want and at your own pace

  • GOOGLE CLASROOM

  • INTRODUCTION TO MANUFACTURING (ING. DULCE MILAGROS GARCIA WALLE 2020-ANDRES ARMANDO SANCHEZ HERNANDEZ)

    COURSE DESCRIPTION

    Manufacturing industries are a vital component of all modern economies and all of them require employees who are skilled - in and knowledgeable about - manufacturing processes.

    This Introduction to Manufacturing Processes will give you a detailed understanding of processes such as casting, forming, cutting and joining. It will review aspects of surface and optical materials engineering as well as examine a number of case studies related to these processes.

    The course is ideal for employees in manufacturing industries or business, professionals who want to learn more about this type of work, and anyone who might be seeking a job or career in a manufacturing industry.

    CERTIFICATION

    To qualify for your official ALISON Diploma, Certificate or PDF you must studyand complete all modules and score 80% or more in each of the course assessments. A link to purchase your Diploma certificate will then appear under the My Certificates heading of your My Account page.

    LEARNING OUTCOMES

    Learning outcomes:
    - Understand the fundamentals of manufacturing and manufacturing processes;
    - Understand scales of material structure and product shapes;
    - Understand manufacturing processes such as Casting, Forming, Cutting, and Joining;
    - Understand aspects of surface engineering and optical materials engineering;

  • (ITCV) TECNICAS AVANZADAS DE CALIDA MARTHA ADELFA AVALOS PUGA 2020

    Descargas Documentos |
    Técnicas Avanzadas de Calidad
    Edita: Instituto de Desarrollo Económico del Principado de Asturias
    Autor: Alfonso Fernández Hatre
    Fecha de publicación: 1995
    Índice
    • 1. Técnicas de calidad y tecnología
      • 1.1. Introducción
      • 1.2. Calidad y Tecnología
    • 2. Análisis model de fallos y efectos.AMFE
      • 2.1. Definición
      • 2.2. Metodología
      • 2.3. Elección del elemento a estudiar
      • 2.4. Constitución del equipo
      • 2.5. Preparación de la información
      • 2.6. Clasificación de los defectos
      • 2.7. Determinación de las causas
      • 2.8. Determinación e implantación de medidas correctoras
      • 2.9. Recalificación de defectos
      • 2.10. Ejemplo práctico
    • 3. Despliegue de la función de calidad.QFD
    • 3.1. Definición del QFD
    • 3.2. Identificación de clientes
    • 3.3. Clasificación de clientes
    • 3.4. Identificación de las expectativas de los clientes
    • 3.5. Jerarquización de las expectativas de los clientes
    • 3.6. Identificación de las funciones del producto
    • 3.7. La casa de la calidad
    • 3.8. Construcción de otras matrices
    • 4. Benchmarking
    • 4.1. Definición
    • 4.2. Metodología
    • 4.3. Diversos tipos de Benchmarking
    • 5. Comakership. La nueva filosofía del suministro
    • 5.1. Introducción
    • 5.2. Estudio de expectativas
    • 5.3. Expectativas del cliente
    • 5.4. Expectativas del proveedor
    • 5.5. Metodología del Comakership
    • 5.6. Ejemplos de aplicación
    • 6. Reingeniería
    • 6.1. La organización funcional de la empresa
    • 6.2. La situación de la empresa
    • 6.3. La Reingeniería de procesos
    • 6.4. Aplicación de la Reingeniería
    • 6.5. Ejemplo práctico
    ArribaListado de Documentos

  • Introduction to Computing with Java

    Introduction to Computing with Java

    Designed to equip students with the fundamental elements of programming and data abstraction using Java.

    About this Course

    Do you wish to become a better problem solver?

    This course aims to provide you with a good understanding of basic Java programming elements and data abstraction using problem representation and object-oriented framework. As the saying goes – “A picture is worth a thousand words”. This course will use sample objects such as photos or images to illustrate some important concepts for better understanding and retention. You will learn to write procedural programs using variables, arrays, control statements, loops, recursion, data abstraction and objects in an integrated development environment.

    At the end of the course, you should be able to achieve the following objectives:

    • Take a “real-life” problem and abstract out the pertinent aspects necessary to solve it in an algorithmic manner
    • Formulate formal solutions to well-defined problems using the logic of a programming language
    • Implement formal solutions in Java using an integrated development environment
    • Have an understanding of the basics of data abstraction using the object-oriented framework

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Free to All

    More about Auditing a Course

    or

    Pursue a Verified Certificate of Achievement

    Plan to use your completed coursework for job applications, promotions or school applications? Then you may prefer to work towards a verified Certificate of Achievement to document your accomplishment.

    Minimum fee required. see details

    What is an ID verified Certificate of Achievement?

    Course Staff

    • Ting-Chuen PONG Professor, Department of Computer Science and Engineering

      Ting-Chuen PONG

      Ting-Chuen Pong is a Professor of Computer Science and Engineering at HKUST. He is one of the founding faculty members of HKUST, where he served as the Associate Vice-President for Academic Affairs, Associate Dean of Engineering and Director of the Sino Software Research Institute. Before joining HKUST, he was an Associate Professor of Computer Science at the University of Minnesota – Minneapolis in the US. He received his PhD in Computer Science from Virginia Polytechnic Institute and State University in the US. He is a recipient of the HKUST Excellence in Teaching Innovation Award in 2001. Professor Pong's research interests include computer vision, multimedia computing and IT in Education.
    • Tony W K Fung

      Tony W K Fung

      Tony is a teaching associate at HKUST. He received his MPhil in Computer Science from HKUST. He is enthusiastic in Java and educational development with technology, and served as a member in the Java Community Process.

    • Leo P M Fan Instructional Assistant, Department of Computer Science and Engineering

      Leo P M Fan

      Leo is an instructional assistant at HKUST. He received his MPhil in Computer Science from HKUST. His research interests include education technologies.

    Syllabus

    Week 1: Introduction to computing systems from hardware, software and problem solving aspects

    Week 2: Basic data types, variables, assignment statements and expressions

    Week 3: Objects, classes and methods; scope rules, Java documentation

    Week 4: Boolean expressions, control structures

    Week 5: Loops

    Week 6: Arrays and multidimensional arrays

    Week 7: Character string and file I/O

    Week 8: Simple event-driven programming

    Week 9: Recursion

    Week 10: Abstract data type and wrap up

    FAQs

    We will use Java Platform, Standard Edition Runtime Environment (JRE) or Java Platform, Standard Edition Development Kit (JDK) to give the computer the capability to run java programs and use BlueJ as the Integrated Development Environment (IDE) for developing Java programs.

  • ANALISIS DE ALGORITMOS GABRIELA ARGOMEDO

    Análisis de algoritmos

    This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

    Acerca del curso

    Analysis of Algorithms aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the scientific analysis of algorithms in computer science and for the study of scientific models in many other disciplines, including probability theory, statistical physics, computational biology and information theory. This course covers recurrence relations, generating functions, asymptotics, and fundamental structures such as trees, permutations, strings, tries, words, and mappings, in the context of applications to the analysis of algorithms.

    Programa del curso

    Lecture  1  Analysis of Algorithms
    Lecture  2  Recurrences
    Lecture  3  Solving recurrences with GFs
    Lecture  4  Asymptotics
    Lecture  5  The symbolic method
    Lecture  6  Trees
    Lecture  7  Permutations
    Lecture  8  Strings and Tries
    Lecture  9  Words and Mappings

    Preparación previa recomendada

    Math through calculus and basic familiarity with programming in a modern language such as Java. Knowledge of basic algorithms and data structures from  Algorithms, Part I is helpful but not required. The video From Analysis of Algorithms to Analytic Combinatorics: A Journey with Philippe Flajolet, is an optional (since it contains some advanced material that is beyond the scope of this course) overview that gives some historical perspective and introduces this course and Analytic Combinatorics. 

    Lecturas sugeridas

    This course is based on the textbook An Introduction to the Analysis of Algorithms  by Sedgewick and Flajolet. You can find (free) web materials associated with the textbook at http://aofa.cs.princeton.edu/home.

    Formato del curso

    There will be one lecture (about 80 minutes) and a problem set each week.

    Preguntas frecuentes

    Does Princeton award credentials or reports regarding my work in this course?

    No certificates, statements of accomplishment, or other credentials will be awarded in connection with this course.

    Sesiones

    Join for Free

    Un vistazo al curso

    6 semanas
    6-8 horas de trabajo / semana
    Inglés
    Subtítulos en Inglés

    Instructors

    Robert SedgewickUniversidad de Princeton

    Categorías

    Ciencias de la Computación: teoría
    Matemáticas

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    Acceso de invitados

  • CONTROL ESTADISTICO DE CALIDAD (AUTODIDACTA) ENZO GIOVANI DE ANDA 2020

  • (ALISON) Diploma in Electrical Studies

    COURSE DESCRIPTION

    Electricity lights up our streets and buildings, and enables us to use and enjoy the many electronic devices that make our lives more comfortable. Skilled electricians and engineers work behind the scenes to ensure that we receive a continuous supply of electric power. 
    Read More 

    CERTIFICATION

    To qualify for your official ALISON Diploma, Certificate or PDF you must study and complete all modules and score 80% or more in each of the course assessments. A link to your Diploma certificate will then appear under the My Certificates heading of your My Account page.

    LEARNING OUTCOMES

    Having completed this course the learner will be able to: - Discuss the significance of electrical trade in today's times; - Describe the basic electrical wiring system in residential, commercial, industrial projects; - State the hazards involved in working with electric power; - Outline the safety procedures for working with electricity; - List the various types of electrical device boxes used by electricians; - Summarize what is meant by electrical current, power, voltage, resistance, circuits; - Identify the plans and drawings included in electrical drawings; - Explain the uses of electrical test equipment such as ammeter, galvanometer, voltmeter, ohmmeter, multimeter.

    Acceso de invitados

  • FUNDAMENTALS OF PROJECT MANAGEMENT GABRIELA ARGOMEDO 2020-ING. AMANDA PATRICIA TREVINO BETANCOURT)

    COURSE DESCRIPTION

    This online course is aimed at people interested in (....IT) project management and builds on other business and IT courses available online at ITCV.

    Every competent project manager needs to know the various phases and project management software and tools available do the job properly (such as the Gantt Chart). This free course will identify these phases and tools, enabling you to successfully manage any project.

    CERTIFICATION

    To qualify for your official ALISON Diploma, Certificate or PDF you must studyand complete all modules and score 80% or more in each of the course assessments. A link to purchase your Diploma certificate will then appear under the My Certificates heading of your My Account page.

    LEARNING OUTCOMES

    After completing this course you will understand the history of project management and learn from examples of interviews with project managers. You will gain a good knowledge of project management methodology. Each phase is examined: investigation, planning, design, production, monitoring and evaluation. You will be able to identify and understand the most important tools used by a project manager including GANTT charts, PERT Diagrams, estimating activity time, scheduling, expediting and Critical Path Method. You will gain a good knowledge of program, system, technical, user, paper-based, electronic and media project management documentation. This course will teach you the process of the systems development life cycle to help identify problems and create solutions in each stage of the projects life including planning, analysis, design, implementation and evaluation. You will learn about different issues that can occur when an information system is changed or a new sytem is introduced.

  • IDIOMAS EN EL MUNDO

    Pendiente.

  • SIX SIGMA

  • Introductory Physics I with Laboratory

    Introductory Physics I with Laboratory

    Michael F. Schatz

    Explore motion in the real world using modern tools and techniques (video capture and analysis, computer modeling) guided by fundamental physics principles.

    Workload: 10-14 hours/week 
    Watch intro video
    Sessions:
    May 20th 2013 (11 weeks long) Sign Up
    Future sessions
     

    About the Course

    We will investigate motion in the world around us; we welcome both those who want to participate fully and those who wish to sample, cafeteria-style, the activities of this course.  Those who participate fully will experience a course that is very different in style but equivalent (at least) in core content to a traditional, on-campus, first-semester college-level introductory physics course that includes a laboratory. At the same time, those who cherry-pick selected course elements (e.g., learning the basics of video capture and analysis of motion in one’s own surroundings) will still advance their understanding of physics.   

    We aim to understand and to predict motion in the real world using a small set of powerful fundamental principles. The laboratories are the backbone of this course, providing opportunities (1) to observe and to analyze motion in our own surroundings, (2) to apply fundamental principles to build explanations of the motion, and (3) to evaluate, in a constructively critical way, our own measurements and models, as well as the measurements and models of our course peers. Other course elements (lecture videos with “clicker” questions, homework) support and extend the physics explored in the laboratories.

    Participants who satisfactorily complete the course will be eligible for six (6) Continuing Education Units from the American Association of Physics Teachers. 

    Course Syllabus

    (Tentative)

    Week 1:               Motion in 1D: Kinematics, Vectors (Part 1) & Newton’s 2nd Law

    Lab 0:                  Install Video Analysis & Computer Modeling Software

    Week 2:               Motion in 1D: Prediction of Motion; Constant/Non-Constant Forces

    Lab 1:                  Constant Velocity Motion in Your Surroundings

    Week 3:               Motion in > 1D: Vectors (Part 2) & Newton’s 2nd Law

    Week 4:               Motion in > 1D: Prediction of Motion; Momentum

    Lab 2:                  Free Fallin’ with Drag (1D Dynamics)

    Week 5:               Curving Motion, Including Uniform/Non-Uniform Circular Motion

    Week 6:               Energy Principle; Work

    Lab 3:                  Galactic Black Holes (>1D Dynamics)

    Week 7:               Multiparticle Systems: Potential Energy

    Week 8:               Energy Applications

    Lab 4:                  Rope Physics in Sports (Forces & Energy)

    Week 9:               Energy & Momentum: Collisions

    Week 10:             Angular Momentum Principle

    Lab 5:                  Free Choice Project (Energy & Momentum)

    Week 11:             Final Exam; Lab 5 Submit & Evaluate

    Recommended Background

    No background with computer programming is required.

    Participants with nothing more than some experience in basic algebra (and a sense of adventure!) will be able to participate in at least some of the labs and other course work.

    Participants with good algebra and trigonometry skills but no background in calculus will be able to participate almost all labs and most other course work.

    Those who have some familiarity with calculus will be able to participate in all aspects of the course.

    Suggested Readings

    Suggested reading assignments will be drawn from the textbook, Matter and Interactions: Volume 1 Modern Mechanics, 3rd edition, (R. Chabay & B. Sherwood, Wiley). We plan to provide course participants with limited time, free access to the suggested readings. Course participants will also have the opportunity to purchase permanent access to the textbook.

    Course Format

    Each lab (one approximately every two weeks) will typically (but not always) begin with observation and video capture of a particular type of motion in one's own surroundings. You will need to use a smartphone camera or a webcam to capture video. We will then use video analysis software to extract motion data. Fundamental principles will be applied to construct models (including computer models) of the observed motion. Every student will record a video lab report comparing these observations and submit it for peer review.  Course participants will evaluate the video lab reports submitted by peers.

    The lab work will be supported and extended by short lecture videos in which short conceptual "clicker" questions are integrated. There will be homework assignments and a final exam.

    FAQ

    • Will I get a Statement of Accomplishment after completing this class?

      Yes. Students who successfully complete the class will receive a Statement of Accomplishment from Georgia Tech C21U.

    • What resources will I need for this class?  You will need:
      • an Internet connection
      • access to a computer where you can install and can use the free, open-source software we will need for video analysis and for computer modeling. It would be good if the computer you use had a spreadsheet program (at times, we will make scatter plots in spreadsheets); however, if necessary, you can use the free spreadsheet on Google docs.
      • a digital camera of some type (cellphone camera, web camera, point-and-shoot digital camera) and a way to transfer images from that camera to the computer you will use for the course. 

    About the Instructor

    Michael F. SchatzGeorgia Institute of Technology

  • INGENIERIA DE CALIDAD 13:00 HRS LI4-18 ALUMNOS (AUTODIDACTA)

    PENDIENTE

    Acceso de invitados

  • SOLIDWORKS

    PENDIENTE

  • LABORATORIO DE ESTUDIOS DE TIEMPOS Y MOVIMIENTOS

  • RESIDENCIAS

    TODOO SOBRE RESIDENCIAS

  • INSTRUMENTACIÓN DIDÁCTICA ING.. INDUSTRIAL

  • PAGINA PERSONAL

  • Introducción a la Programación con MATLAB

    Introducción a la Programación con MATLAB

    This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals.

    Acerca del Curso

    MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences through all disciplines of engineering to finance and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.
    Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that happens to use MATLAB to illustrate general concepts in computer science and programming. 
    Students who successfully complete this course will:
    • become familiar with general concepts in computer science
    • gain an understanding of the general concepts of programming
    • obtain a solid foundation in the use of MATLAB
    This is an introductory college-level course in computer science for engineering and science students. However, it is also suitable for high school students who are interested in programming. The material assumes no background in mathematics beyond the standard high school curriculum. Students taking the course will get a MATLAB license free of charge for a three-month period. 

    Programa del Curso

    The course is divided into the following 8 weekly modules:

    Week 1: Introduction to MATLAB

    Week 2: Matrices and Operators

    Week 3: Functions

    Week 4: Programmer’s Toolbox

    Week 5: Selection

    Week 6: Loops

    Week 7: Data Types

    Week 8: File Input/Output

    Preparación Previa Recomendada

    Facility with basic high school math or equivalent is recommended.

    Lecturas Sugeridas

    Although the lectures are designed to be self-contained, we recommend (but do not require) that students refer to the eBook, Fitzpatrick and Ledeczi, "Computer Programming with MATLAB," which was written specifically for this course. 

    Formato del Curso

    The class will consist of lecture videos containing 1-2 integrated quiz questions per video. There will also be standalone programming assignments that are not part of video lectures..

    Sesiones

    Dispone de:

    Certificado de Curso
    Declaración de Realización

    Un vistazo al curso

    9 weeks of study
    4-6 hours/week
    Inglés
    Subtítulos disponibles en Inglés

    Certificado Disponible Para Estudiantes

    certificate logo

    Completa este curso y muestra tu éxito con un Certificado, fiable, seguro y emitido por Coursera.

    Aprende más sobre Certificados  

    Instructores

    Categorías

    Compartir

  • RENDICION DE CUENTAS

  • APUNTES

    APUNTES MATERIAS

  • PERFIL DESEABLE

    PERFIL DESEABLE

  • CACEI

    CACEI

    CONSEJO DE ACREDITACION DE LA ENSEÑANZA DE LA INGENIERIA A.C

  • ESTIMULO AL DESEMPEÑO DOCENTE

    VER

  • ESPECILIDADES TECNM

    FALTA

  • TUTORIAS

    PENDIENTE

  • SISTEMA DE GESTION DE CALIDAD ITCV

    SISTEMA DE GESTION DE CALIDAD ITCV

  • POA

    VER

  • Researcher Management and Leadership Training

  • INFORME TECNICO

    INFORMES TECNICOS RESIDENCIAS

  • FORMACIÓN EN TUTORIAS

    Descripción del Curso

    El Centro de Ing. Industial está comprometida con la actualización y capacitación de los docentes. El centro ofrece este curso de capacitación de manera gratuita para que como tutor de cursos en línea esté capacitado y alcance las competencias que se requieren. En este curso se demuestran conocimientos sobre aspectos importantes de educación virtual básicos, de los usos y aplicaciones de la tecnología aplicada a la educación, así como ejercer una actitud como agente motivador de cambio y contar con un alto compromiso en la atención de los alumnos en línea. La tutoría es parte vital de todo curso en línea, se brinda instrucción y se detectan las competencias que todo maestro debe tener para participar como tutor de cursos virtuales.

    Objetivos

    • Capacitar a los tutores en el área de educación virtual orientándolos a propiciar experiencia de aprendizaje que permitan al estudiante apropiarse y construir su propio conocimiento.
    • Preparar a los tutores en estrategias didácticas que les permitan proporcionar atención personalizada y grupal a sus alumnos, así como favorecer el aprendizaje significativo.

  • ACCION TUTORIAL

    Curso de Accion Tutorial

    Este curso de Accion Tutorial y otros cursos abiertos son brindados en su totalidad por el Instituto Tecnologico de Ciudad Victoria (ITCV) como parte de la "iniciativa de Accesso Abierto"  Esta iniciativa es consistente con la Misión y Visión del Instituto Tecnologico de Ciudad Victoria..

    A través de esta iniciativa, del Instituto Tecnolocigo de Ciudad Victoria (ITCV) busca eliminar las barreras que existen actualmente en el acceso a la educación, información y trabajos de investigación. El ITCV le da mucho valor e importancia al conocimiento y aprendizaje de los individuos y espera que este curso pueda tener una gran repercusión en las vidas de nuestros estudiantes y la humanidad en general alrededor del mundo, quienes tienen la inclinación natural hacia la búsqueda de nuevo conocimiento. Esperamos que este curso en Administración de la Pequeña y Mediana Empresa y otros cursos gratis, disponibles por parte de esta iniciativa de acceso abierto, permitan el avance y actualización a quienes lo deseen.

    El curso de Acción Tutorial contiene lo siguiente:

    • Lecciones en formato de videoconferencias con las que se explica el contenido teórico.
    • Actividades complementarias que le harán investigar más acerca del tema, así como, poner en práctica lo estudiado en la lección. Estas actividades no forman parte de su evaluación final.
    • Cuestionarios de evaluación, que tras ser contestados y aprobados puede acceder a la siguiente lección.
    • Examen final para evaluación global del curso.

    El curso de  Acción Tutorial puede formar parte de un programa de titilación abonando hasta tres créditos universitarios. Las lecciones del curso se pueden llevar en línea através de estudio a distancia. Los contenidos y el acceso están abiertos al publico en función de la iniciativa "Open Access" o "Acceso Abierto" de Atlantic International University. Participantes que desean recibir crédito y/o certificado de termino, deben registrarse como alumnos.

  • NUEVO MODELO EDUCATIVO

  • CENEVAL

  • Energy 101

    Energy 101

    By being fluent in energy you will be able to think critically about energy issues.

    About this Course

    *Note - This is an Archived course*

    This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.

    This multidisciplinary course will give students an overview of energy technologies, fuels, environmental impacts and public policies. Topics will be interdisciplinary and will include an introduction to quantitative concepts in energy, including the differences among fuels and energy technologies, energy policy levers, and the societal aspects of energy, such as culture, economics, war, and international affairs. This course will cover brief snippets of energy history, use real-world examples, and look forward into the future. The course will have interactive learning modules and lecture-oriented around current events related to energy.

    Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Free to All

    More about Auditing a Course

    Course Staff

    • Dr. Michael E. Webber

      Dr. Michael E. Webber

      Michael Webber is the Josey Centennial Fellow in Energy Resources, Co-Director of the Clean Energy Incubator at the Austin Technology Incubator, and Deputy Director of the Energy Institute at UT Austin, where he trains a new generation of energy leaders through research and education at the intersection of engineering, policy, and commercialization. He has authored more than 150 scientific articles, columns, books and book chapters, including a compendium of his commentary titled Changing the Way America Thinks About Energy, which was published in May 2009.

    Prerequisites

    None.

    Acceso de invitados

  • Modelling and Simulation of Discrete Event System

    F

    Auto-inscripción

  • (NOC) MODELLING AND SIMULATION DYNAMICS SYSTEMS

    FALTA AGREGAR

  • SIMULACIÓN DE EVENTOS DISCRETOS D-166

    La simulación por eventos discretos es una técnica informática de modelado dinámico de sistemas. Frente a su homóloga, la simulación de tiempo continuo, esta se caracteriza por un control en la variable del tiempo que permite avanzar a éste a intervalos variables, en función de la planificación de ocurrencia de tales eventos a un tiempo futuro. Un requisito para aplicar esta técnica es que las variables que definen el sistema no cambien su comportamiento durante el intervalo simulado.

    Auto-inscripciónAuto-inscripción

  • SIMULACION (DR. RAUL DERAT SOLIS) D-162

    MATERIA DE SIMULACION EN ESPAÑOL

  • Modelling and Simulation using MATLAB

    Modelling and Simulation using MATLAB®

    Free

    How can I simulate a water treatment plant or realize a new business venture? This MOOC explains how to model and simulate innovative ideas using MATLAB/Simulink.

    • 22 Apr. 2014
    • English
    • Interdisciplinary

    About this course

    Course Summary

    Modelling and simulation make a particular part of the world easier to define, visualize and understand. Both require the identification of relevant aspects of a situation in the real world and then the use of different types of models for different objectives and the definition of the most suitable model parameters.

    This course teaches you to simulate models for a wide range of applications using MATLAB – a high-level programming language and an environment for numerical computation and visualization.

    What will I learn?

    • Students are acquainted with the concepts of modelling and simulation from an interdisciplinary point of view.
    • Students are able to implement and simulate models using MATLAB/Simulink.
    • Depending on the selected applications in part B of the course students acquire further knowledge of control engineering, image processing, machine learning, business case modelling, knowledge management and simulation of a water treatment plant
    • Enthusiastic students with only rudimentary programming knowledge acquire an understanding of the basic MATLAB programming

    What do I have to know?

    Mathematics and Physics knowledge of secondary level education and programming knowledge are recommended.

    MATLAB is commercial software. As a result of support from MathWorks, students will be granted a downloadable license to MATLAB and Simulink for the duration of the course.

    Workload

    Approx. 8 hours per week.

    The final chapter will be uploaded on July 8th. The course ends on August 1st.

    Do I get a certificate?

    Students participating in this course can earn the official Statement of Participation.

    Requirements for receiving the Statement of Participation are to watch 60% of the lecture videos as well as complete 60% of the quizzes.

    Thumb 270 schorsch

    Prof. Dr.-Ing. Georg Fries

    Professor of Digital Signal Processing, Department of Engineering, RheinMain University of Applied Sciences, Wiesbaden

    Georg Fries studied Electrical Engineering at the Technical University of Darmstadt, where he also received a Ph.D. degree in speech signal processing. Today he is giving lectures on discrete-time signal processing and video technology. Here he has gained significant experience in modelling signal processing concepts in MATLAB. He has worked on multimodal interaction, digital signal processors and text-to-speech. His current interests concern digital photography and active loudspeakers.

    Prof. Dr. Peter Dannenmann

    Prof. Dr. Karin Graeslund

    Prof. Dr.-Ing. Patrick Metzler

    Prof. Dr. Michael Schmidt

    Prof. Dr. Andreas Zinnen

    Dipl.-Päd. Robert Hörhammer

    Production Team

  • MODELADO Y SIMULACION 11:00 a 12:00 HRS Salon Virtual 41 ALUMNOS (AUTODIDACTA)

    Simulation

    Raúl Derat

    This courses introduces the students to modelling and simulation concepts.  Topics discussed in the course includes, system analysis and classification., abstract and simulation models, continuous, discrete, and combined models, heterogeneous models. It also covers pseudorandom number generation and testing, queuing systems, Monte Carlo method, and continuous simulation. Simulation experiment control.

  • OPERATION MANAGEMENT II (10:00 - 11:00) AUTODIDACTA

  • INV DE OPERACIONES II A DISTANCIA 10: 00 - 11:00 AM (DR. RAUL DERAT)

    An Introduction to Operations Management

    DR. RAUL DERAT SOLIS

    This course will teach you how to analyze and improve business processes, be it in services or in manufacturing. You will learn how to improve productivity, how to provide more choice to customers, how to reduce response times, and how to improve quality.

    Watch intro video
    Current Session:
    Jan 17th 2013 (10 weeks long) Go to class
    Workload: 5-7 hrs/week hours/week
     

    About the Course

    Remember the last time you went to a restaurant. What did you expect from that restaurant? You wanted to find something on the menu that you liked, you wanted the meal to be prepared according to high quality standards, you wanted to get it quickly and didn’t want to pay too much money for it. Now, remember the last time you went to a doctor’s office or a hospital. What did you want the doctors and nurses to do? You wanted them to provide the right care for you, you wanted the care delivered with great quality, you wanted to get the care quickly, and you (or your insurance) didn’t want to  too pay too much for it.

    Put differently, the management skills that you need to run the operations of a restaurant are the same that you need to run a hospital. And these are the skills you will learn in this course. Specifically, you will learn how to improve productivity, increase responsiveness, provide more choice to the customer, and deliver higher quality standards. In short, you will learn how to analyze business processes and how to improve them. Along the way, you will learn about topics such as Lean Operations, Six Sigma, and the Toyota production system, you will hear about bottlenecks, flows rates, and inventory levels. And, much, much more.

    About the Instructor(s)

    Raul Derat is the Professor at the Monterrey Institute of Technology. He also is a Professor in Wharton’s Operations and Information Management department as well as a Senior Fellow at  the Leonard Davis Institute for Health Economics. Professor Derath is the co-author of Matching Supply with Demand, a widely used text-book in Operations Management that is now in its third edition. For his teaching in Wharton’s MBA program, he has received numerous teaching awards.

    Professor Derat has researched with and consulted for various organizations. From small start-ups to Fortune 500 companies, he has helped companies to innovate and to improve their business processes. Most of his current work relates to healthcare. Recent projects include the design of patient centered care processes in the VA hospital system, the impact of emergency room crowding on hospital revenues at General Medicine, and the usage of ICU beds in the General Hospital of Victoria city. In the innovation space, recent projects include the management of the clinical development portfolio at Merck, the development of open innovation systems, and innovation tournaments for large healthcare organizations.

    Course Syllabus

    The course is broken up into six modules:

    1. Introduction
    2. Process analysis
    3. Productivity
    4. Responsiveness
    5. Quality
    6. Product variety

    Recommended Background

    The course is designed for business school students and executives. There are no academic prerequisites for the course; this is not a math course and nothing done in this course requires more than high school math.
     
    I expect the student pool to be made up of students that:
    • are preparing for their career in business and want to lay some foundations
    • are in the middle of their career and have some real problems to solve right now

    Suggested Readings

    Although the class is designed to be self-contained, students wanting to expand their knowledge beyond what we can cover in this one-quarter class or who want more practice problems, more in-depth explanations, or more math should look at the following book: 
     Cachon, Gerard, Christian Terwiesch, Matching Supply with Demand: An Introduction to Operations Management, 3rd edition, Irwin - McGraw Hill, 2012 (ISBN 978-0073525204, 507 pages)

    Course Format

    The class will consist of lecture videos, which are between 5 and 10 minutes in length. Many of them contain 1-2 integrated quiz questions per video. There will also be standalone homeworks that are not part of video lectures. The course ends with a final exam.

    FAQ

    • Will I get a certificate after completing this class?

      Contingent on academic performance, you will get a certificate stating that you completed this course. However, no certificate will be given from Wharton / Penn and successful completion of this course does not make you a Wharton / Penn alumnus.

    • What resources will I need for this class?

      You will need access to a spreadsheet program, some paper, and a pencil. Nothing more.

    • What is the coolest thing I'll learn if I take this class?

      You will look at the world with different eyes - you will start to detect bottlenecks, identify productivity wastes, and come up with ideas to improve business processes. A known side effect of these skills is that you might drive friends, family, or co-workers crazy when you point to their improvement opportunities...

    • What does a typical class look like?

      In a typical video session, I will introduce a small case to outline a problem in an operation. That could be a hospital, a restaurant, a bank, a call center, or whatever other setting. We will then use the setting of the case to discuss various performance measures as well as what one might want to do to improve the operation.


    Categories:
    Business & Management

  • OPTIMIZACIÓN Y PROGRAMACIÓN LINEAL ITCV

    PROGRAMACION LINEAL

  • Estrategias de Enseñanza y Aprendizaje

    Curso de Estrategias de Ensenanza y Apredizaje

    Este curso de Estrategias de Enseñanza y Apredizaje y otros son brindados en su totalidad por el ITCV como parte de los "Cursos intersemestrales" Esta iniciativa es consistente con la Misión y Visión del ITCV.

    A través de esta iniciativa, el Departamento de Ingenieria Inudstrial busca eliminar las barreras que existen actualmente en el acceso a la educación, información y trabajos de investigación. El ITCV le da mucho valor e importancia al conocimiento y aprendizaje de los individuos y espera que este curso pueda tener una gran repercusión en las vidas de nuestros maestros y la humanidad en general alrededor del mundo, quienes tienen la inclinación natural hacia la búsqueda de nuevo conocimiento. Esperamos que este curso por parte de esta iniciativa de acceso abierto, permitan el avance y actualización a quienes lo deseen.

    El curso de Estrategias de Ensenanza y Apredizaje contiene lo siguiente:

    • Lecciones en formato de videoconferencias con las que se explica el contenido teórico.
    • Actividades complementarias que le harán investigar más acerca del tema, así como, poner en práctica lo estudiado en la lección. Estas actividades no forman parte de su evaluación final.
    • Textos que respaldan lo explicado en la videoconferencia.
    • Cuestionarios de evaluación, que tras ser contestados y aprobados puede acceder a la siguiente lección.
    • Examen final para evaluación global del curso.

    El curso de  Estrategias de Ensenanza y Apredizaje puede formar parte de un programa de titulación abonando hasta tres créditos universitarios. Las lecciones del curso se pueden llevar en línea através de estudio a distancia. Los contenidos y el acceso están abiertos al publico en función de la iniciativa "Open Access" o "Acceso Abierto" del ITCV. Participantes que desean recibir crédito y/o certificado de termino, deben registrarse como alumnos.

  • Powerful Tools for Teaching and Learning: Web 2.0 Tools

    Acerca de este Curso

  • INTRODUCCION A LA CONTABILIDAD FINANCIERA (SUSANO MORENO VARELA)

  • CONTABILIDAD DE COSTOS (CONTADOR SUSANO MORENO VARELA)

  • ESTIMULO AL DESEMPEÑO DOCENTE

  • PROMODEL

  • ENGLISH CLASS 101

  • MODELADO Y SIMULACION DE SISTEMAS DINAMICOS

  • ITCV INDUSTRIAL

  • 10 PASOS PARA IMPLEMENTAR LA NOM-035

  • SABATICO SIMULACION IO-2

  • APOYOS TECNOLOGICOS

  • HOJA DE CALCULO PARA PRINCIPANTES

  • CLUB ITCV

  • FUNDAMENTOS DE ENERGIA GLOBAL

  • PROBABLITY AND STATISTICS

  • FUNDAMENTOS DE IO MADRAS

  • ADM DE OPERACIONES: SEM 5

  • ERGONOMIA: SEM 5

  • INV DE OP (3)

  • INV DE OPERACIONES (2) OPTIMIZACION DE ALGORITMOS

  • INV DE OP (1) MODELOS Y APLICACIONES

  • INVESTIGACION DE OPERACIONES I MADRAS): SEM IV

  • PROCESO DE FABRICACION

  • METROLOGIA: SEM III

  • INTEGRAL AND VECTOR CALCULUS: SEM III

  • ALGEBRA LINEAL - III SEMESTRE

  • PROBABILIDAD Y ESTADISTICA - II SEMESTRE

  • DIBUJO INDUSTRIAL (1ER SEMESTRE)

  • INTRODUCCIÓN A LA FILOSOFÍA

    CURSO DE FILOSOFIA

  • INTRODUCCION A LA FILOSOFIA

    Creada por:   Universidad de Edimburgo
    Idioma
    English, Subtítulos: Chinese (Simplified), Vietnamese, Dutch, Turkish, Hebrew, Spanish, Romanian
    Cómo aprobar Aprueba todas las tareas calificadas para completar el curso.
    Calificaciones del usuario
    Average User Rating 4.6Ve los que los estudiantes dijeron
    Programa
    WEEK 1
    What is Philosophy?
    (Dr. Dave Ward) We’ll start the course by thinking about what Philosophy actually is: what makes it different from other subjects? What are its distinctive aims and methods? We'll also think about why the questions that philosophers attempt to answer are often... 
    4 videos, 3 readings, 1 reading
    Calificado: What is Philosophy?
    WEEK 2
    Morality: Objective, Relative or Emotive?
    (Dr. Matthew Chrisman) We all live with some sense of what is good or bad, some feelings about which ways of conducting ourselves are better or worse. But what is the status of these moral beliefs, senses, or feelings? Should we think of them as reflecting har... 
    4 videos, 1 reading, 1 reading
    What is Knowledge? And Do We Have Any?
    (Professor Duncan Pritchard) We know a lot of things – or, at least, we think we do. Epistemology is the branch of philosophy that studies knowledge; what it is, and the ways we can come to have it. In this module, we’ll take a tour through some of the issues ... 
    5 videos, 1 reading, 1 reading
    Week 2 review
     
    Calificado: Morality: Objective, Relative or Emotive?
    WEEK 3
    Do We Have an Obligation to Obey the Law?
    (Dr. Guy Fletcher) The laws of a state govern what we can and cannot do within that state. But do we have an obligation to obey those laws? In this module, we'll discuss this question, together with some of the main positions that philosophers have developed i... 
    7 videos, 1 reading, 1 reading
    Should You Believe What You Hear?
    (Dr. Allan Hazlett) Much of what we think about the world we believe on the basis of what other people say. But is this trust in other people's testimony justified? In this module, we’ll investigate how this question was addressed by two great philosophers of ... 
    6 videos, 1 reading, 1 reading
    Week 3 review
     
    Calificado: Do We Have an Obligation to Obey the Law?
    WEEK 4
    Minds, Brains and Computers
    (Dr. Suilin Lavelle) If you’re reading this, then you’ve got a mind. But what is a mind, and what does it take to have one? Should we understand minds as sets of dispositions to behave in certain ways, as patterns of neural activation, or as akin to programmes... 
    7 videos, 1 reading, 1 reading
    Are Scientific Theories True?
    (Professor Michela Massimi) In this module we will explore a central and ongoing debate in contemporary philosophy of science: whether or not scientific theories are true. Or better, whether a scientific theory needs to be 'true' to be good at all. The answer ... 
    7 videos, 1 reading, 1 reading
    Week 4 review
     
    Calificado: Minds, Brains and Computers
    WEEK 5
    Do We Have Free Will and Does It Matter?
    (Dr. Elinor Mason) We typically feel that the actions that we make are the result of our own free choices. But what if those actions are simply the end result of a long chain of cause and effect? What does this mean for free will? In this module, we'll look at... 
    5 videos, 1 reading, 1 reading
    Time Travel and Philosophy
    (Dr. Alasdair Richmond) In this module we'll think about some issues in metaphysics, a branch of philosophy that investigates the ways that reality could intelligibly be. Our case study will be the possibility, or otherwise, of time-travel. Some have thought t... 
    6 videos, 1 reading, 1 reading
    Week 5 review
     
    Calificado: Do We Have Free Will and Does It Matter?
    Peer review
     
    1 item
    1. Revisión por el compañero: Peer Review

    Preguntas Frecuentes

  • Probability And Its Applications To Reliability, Quality Control, And Risk Assessment

    Course Description This course covers interpretations of the concept of probability. Topics include basic probability rules; random variables and distribution functions; functions of random variables; and applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. The course also considers elements of statistics; Bayesian methods in engineering; methods for reliability and risk assessment of complex systems (event-tree and fault-tree analysis, common-cause failures, human reliability models); uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling); and an introduction to Markov models. Examples and applications are drawn from nuclear and other industries, waste repositories, and mechanical systems.

  • Conceptual Foundations of PLS Path Modeling

  • Nanotechnology: The Basics

    Nanotechnology: The Basics


    Workload: 4-8 hours/week
    Taught In: English
    Subtitles Available In: English
    Watch intro video
     

    About the Course

    Nanotechnology is an exciting research area that spans disciplines from electrical engineering to biology.  Over the last two decades the basic science of this area has launched new technologies, the first examples of which are finding their way into commercial products.  This four week course will provide students with a bird's eye view into this fast moving area and leave students with an appreciation of the importance and foundation of super-small materials and devices.

    Course Syllabus

    Nanotechnology: The Basics

    Week 1: Small, strange and useful! This first week we will introduce nanotechnology.  As you will learn, defining the term itself can be a challenge and the discipline has a rich and somewhat controversial history.  We will conclude the week with a tour of the different types of materials in the nanotechnology pantheon that sets up the class for the weeks to come.

    Week 2: Electronics when materials are super small.  There is no doubt our lives have been changed by the small and powerful computers we now use in everything from our cell phones to our coffeemakers.  This week you will learn how nanotechnology has been a part of this revolution and what the limits are to making wires and transistors super, super small.

    Week 3: How magnets change when they are made small.  Magnetism is quite mysterious and the foundation of such cool technologies as flash drives and MRI imaging.  Nanotechnology has played a crucial role in advancing all of these diverse applications and in week 3 you'll gain some insight into how that is possible.

    Week 4: Shedding light on nanoscale materials and photonics.  Compared to electrons, photons are difficult things to trap and control with normal materials.  Nanomaterials offer completely new approaches to manipulating light.  Whether its through diffraction, or plasmonics, nanotechnology can provide new capabilities for solid state lasers as well as super resolution microscopes.

    Recommended Background

    We expect some knowledge of freshman chemistry and physics, as well as algebra.  Access to a spreadsheet program would also be of value.  However, we recognize that for some interested participants this knowledge may be rusty and will provide where possible optional review videos to go over terminology and concepts relevant to the week's material.

    Suggested Readings

    We will refer students to web-based materials where appropriate.  There isn't really a standard nanotechnology textbook (yet!).

    Course Format

    Every week students will be expected to view between 6 and 9 video lectures which are about 10 minutes each; optional 'in-depth' lectures will sometimes be added on to provide background on concepts relevant for the week. Most lectures will have integrated questions to keep students engaged, and these will not count towards any grade. There will also be weekly 'basic' quizzes and a final exam for students seeking a statement of accomplishment.  For those seeking a statement of accomplishment with distinction, additional 'in-depth' quizzes and a peer-graded project will be required.  Students will have two weeks to complete every assignment once its posted, and eight late days to apply as needed.

    FAQ

    • What is the format of the class?

      This course offers two distinct tracks. To receive a statement of accomplishment, students will complete basic quizzes and a final exam and a peer-graded project. For those who wish to receive a receive a statement of accomplishment with distinction, they will need to complete basic quizzes, in-depth quizzes, a peer-graded project and the final exam.

       Regardless of track, students are given two weeks to complete every assignment after posting.  Also the late policy provides students with 8 days to apply as needed.

    • Are there any prerequisites?

      This course requires that students (a) have ready access to and facility with a spreadsheet program like Excel; (b) have had a freshman level science class and are familiar with college level chemistry and physics.

    • What resources do I need for this class?

      Access to a computer that can run Excel and the basic suite of Microsoft office products.

    • Does Rice award credentials or reports regarding my work in this course?

      Rice University does not issue transcripts but does support certificates of accomplishment associated with classes as described on the course page.  Coursera will maintain limited data regarding student progress and performance in this course and, with your permission, provide authorized third parties with access to such data.

    About the Instructors

    Vicki ColvinRice University
    Daniel MittlemanRice University

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  • DIPLOMADO SECRETARIA DE SALUD

    Data Management for Clinical Research

    Stephany Duda, PhD, Paul Harris, PhD and Firas Wehbe, MD, PhD

    Learn critical concepts and practical methods to support research data planning, collection, storage and dissemination.

    Workload: 2-4 hours/week
    Taught In: English
    Subtitles Available In: English
    Sessions:
    Sep 16th 2013 (5 weeks long) Sign Up
    Future sessions
     

    About the Course

    This course is designed to teach important concepts related to research data planning, collection, storage and dissemination. Instructors will offer information and best-practice guidelines for 1) investigator-initiated & sponsored research studies, 2) single- & multi-center studies, and 3) prospective data collection & secondary-reuse of clinical data for purposes of research. The curriculum will balance theoretical guidelines with the use of practical tools designed to assist in planning and conducting research. Real-world research examples, problem solving exercises and hands-on training will ensure students are comfortable with all concepts.  

    Recommended Background

    A general interest in medical research (any scientific domain) and basic computer skills.

    Course Format

    The class will consist of lecture videos, which are between 10 and 20 minutes in length with integrated quiz questions. There will also be standalone quizzes and assignments that are not part of video lectures.

    FAQ

    • What resources will I need for this class?  
    For this course, you will need: 1) an Internet connection; 2) software package capable of generating table-based CSV files (e.g. Microsoft Excel, Google Docs, Numbers);
     
    • Why should I take this class? 
    Data drives medical research and medical research drives scientific findings that ultimately result in improving human health.  This course will enable you to be play an integral part in the process.

    About the Instructors

    Stephany DudaVanderbilt University
    Paul HarrisVanderbilt University
    Firas WehbeVanderbilt University

    Categories:
    Information, Tech & Design
    Statistics and Data Analysis
    Browse more courses
    Acceso de invitados

  • Curso Alineación de la Estrategia con el Sistema de Gestión de la Calidad ISO 9001 2015

    La transición o implementación de ISO 9001 2015 es sin duda una decisión estratégica que afecta a la totalidad de una organización.

    La nueva norma ISO 9001 2015 incluye entre sus cláusulas este concepto, tratando así de que el Sistema de Gestión de la Calidad y la estrategia caminen de la mano. Esto favorecerá la consecución de los objetivos.

    La gestión estratégica incluye la identificación de oportunidades y amenazas que tiene una organización, junto al análisis de sus fortalezas y debilidades. Esto permite tener una base de toma de decisiones que garanticen el éxito de la organización.

    En este curso gratuito identificará los cambios de ISO 9001 relacionados con la estrategia, conocerá metodologías para la gestión estratégica y adquirirá conceptos para su monitoreo.

  • Exploración de la física cuántica

    Exploración de la física cuántica

    An introduction to quantum physics with emphasis on topics at the frontiers of research, and developing understanding through exercise.

    Vista previa de las lecciones

    Acerca del curso

    Quantum physics is the foundation for much of modern technology, provides the framework for understanding light and matter from the subatomic to macroscopic domains, and makes possible the most precise measurements ever made.  More than just a theory, it offers a way of looking at the world that grows richer with experience and practice.  Our course will provide some of that practice and teach you "tricks of the trade" (not found in textbooks) that will enable you to solve quantum-mechanical problems yourself and understand the subject at a deeper level.

    The basic principles of quantum physics are actually quite simple, but they lead to astonishing outcomes.  Two examples that we will look at from various perspectives are the prediction of the laser by Albert Einstein in 1917 and the prediction of antimatter by Paul Dirac in 1928.  Both of these predictions came from very simple arguments in quantum theory, and led to results that transformed science and society.  Another familiar phenomenon, magnetism, had been known since antiquity, but only with the advent of quantum physics was it understood how magnets worked, to a degree that made possible the discovery in the 1980’s of ultrastrong rare-earth magnets.  However, lasers, antimatter and magnets are areas of vibrant research, and they are all encountered in the new field of ultracold atomic physics that will provide much of the material of “Exploring Quantum Physics”.

    Richard Feynman once said, “I think I can safely say that nobody understands quantum mechanics.”  We say, that’s no reason not to try! What Feynman was referring to are some of the “spooky” phenomena like quantum entanglement, which are incomprehensible from the standpoint of classical physics. Even though they have been thoroughly tested by experiment, and are even being exploited for applications such as cryptography and logic processing, they still seem so counterintuitive that they give rise to extraordinary ideas such as the many-world theory. Quantum physics combines a spectacular record of discovery and predictive success, with foundational perplexities so severe that even Albert Einstein came to believe that it was wrong.  This is what makes it such an exciting area of science!

    Programa del curso


    Lecture 1: Introduction to quantum mechanics. Early experiments. Plane waves and wave-packets
    Lecture 2: Interpretation and foundational principles of quantum mechanics
    Lecture 3: Feynman formulation of quantum theory. 
    Lecture 4: Using Feynman path integral. Quantum-to-classical correspondence
    Lecture 5: Back to the Schrödinger picture: bound states in quantum potential wells
    Lecture 6: Cooper pairing in the theory of superconductivity 
    Lecture 7: Harmonic oscillator. Solution using creation and annihilation operators
    Lecture 8: Classical and quantum crystals. Collective excitations in crystals - phonons
    Lecture 9: Atomic spectra
    Lecture 10: Quantum theory: old and new  
    Lecture 11: Solving the Schrödinger equation
    Lecture 12: Angular momentum and the Runge-Lenz vector
    Lecture 13: Electrical properties of matter
    Lecture 14: Gauge potentials, spin and magnetism
    Lecture 15: Quantum gases
    Lecture 16: Topological states of quantum matter

    Preparación previa recomendada

    The purpose of this course is to provide a graduate/advanced undergraduate level introduction to  quantum mechanics.  The emphasis throughout the course will be on applications of general techniques to specific quantum-mechanical problems and phenomena. Basic understanding of calculus and linear algebra is essential for completing this course, and knowledge of differential equations and Fourier transforms is valuable. Previous exposure to quantum mechanics would be helpful, but is not assumed. The course will be self-contained and an introduction will be provided.

    Lecturas sugeridas

    Exploring Quantum Mechanics: A Collection of 700+ Solved Problems for Students, Lecturers, and Researchers, by Victor Galitski, Boris Karnakov, Vladimir Kogan and Victor Galitski, Jr. (Oxford University Press, to be published in 2012, ISBN 978-0199232727)

    Formato del curso

    The class will consist of lecture videos, individually between 8 and 20 minutes in length, with approximately two hours of lectures per week. These contain 1-2 integrated quiz questions per video. There will also be standalone homework assignments that are not part of video lectures.

    Preguntas frecuentes

    Will I get a certificate after completing this class?

    Those who complete the course will get a Statement of Accomplishment.

  • (EDX) 2.03X DYNAMICS

    Dynamics

    Intro course on the dynamics of mechanical systems: geometry of motion, forces causing motion, and predicting dynamic behavior with computational methods.

    About this Course

    *Note - This is an Archived course*

    This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course. 

    This introductory course has the same rigor as the regular M.I.T. course of the same name, which is one of the first subjects in M.I.T.'s Mechanical Engineering undergraduate curriculum.

    In this course, students will learn to analyze and predict the dynamic behavior of objects and systems, their motions and associated forces, and understand mechanical systems of complexity that are representative of engineering practice.  Students will also analyze the kinematics of mechanisms, understand torque and angular momentum in rigid bodies in rotation, and imbalance in rotating systems. Finally students will derive nonlinear equations of motion for a wide variety of mechanical systems, solve them using numerical methods in MATLAB as well as plot and interpret results.

    The course combines a unique blend of rigor and realism to produce fundamental skills in an accessible, entertaining format.

    Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Free to All

    More about Auditing a Course

    Course Staff

    • David Gossard

      David Gossard

      Professor David Gossard received his Ph.D. in Mechanical Engineering from M.I.T. and joined the Mechanical Engineering Department faculty in 1975.  His research activities have focused on the areas of computational geometry and solid modeling.   Two of his students founded the SolidWorks company.  He is an amateur movie-maker and enjoys travel.

    • Thomas Peacock

      Thomas Peacock

      Associate Professor Thomas Peacock received his BSc. in Physics from Manchester University and his D.Phil. in Physics from Oxford University. He joined the Mechanical Engineering faculty at MIT in 2003. His research focuses on modeling of environmental flows with a focus on the ocean and he is recipient of an NSF CAREER Award in Physical Oceanography

    • J. Kim Vandiver

      J. Kim Vandiver

      Professor J. Kim Vandiver is MIT's Dean for Undergraduate Research and Director of the Edgerton Center.  He founded the Edgerton Center at MIT in 1992 with the vision of providing MIT students with the resources to pursue their own creative projects.  The Center runs three student shops, and sponsors many student teams including a solar electric vehicle team, a Formula SAE team and a marine robotics team.  He is a professor of mechanical and ocean engineering.  His research is on the dynamics of large structures in the ocean, with a special emphasis on flow-induced vibration.  He is also involved in D-Lab, which works with partners in developing countries to solve problems in health, clean water, education, energy and agriculture.  

       

      Professor Vandiver received his bachelor's degree in engineering in 1968 from Harvey Mudd College of Science and Engineering, his master's degree in Ocean Engineering from MIT, and a Ph.D. in Oceanographic Engineering from the MIT and Woods Hole Oceanographic Institution Joint Program in 1975.  For fun, he volunteers as a certified flight instructor for gliders.

    Prerequisites

    Classical Mechanics (8.01) and Multi-variable Calculus (18.01)

  • (EDX) Robot Mechanics and Control, Part I

    Robot Mechanics and Control, Part I

    A mathematical introduction to the mechanics and control of robots.

    About this Course

    *Note - This is an Archived course*

    This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course. 

    This course provides a mathematical introduction to the mechanics and control of robots that can be modeled as kinematic chains. Topics covered include the concept of a robot’s configuration space and degrees of freedom, static grasp analysis, the description of rigid body motions, kinematics of open and closed chains, and the basics of robot control. The emphasis is not on the latest research trends and technological innovations in robotics, but on learning the fundamental concepts and core principles that underlie robotics as a scientific discipline. The intent is to help students acquire a unified set of analytical tools for the modeling and control of robots, together with a reliable physical intuition that recognizes the unique and interdisciplinary nature of robotics—in short, content that will serve as a reliable foundation for whatever trends may appear later, and remain relevant to both the practitioner and researcher. This course is the first of two parts of “Robot Mechanics and Control.” Part II will start shortly after completion of Part I.

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Free to All

    More about Auditing a Course

    Course Staff

    • Frank C. Park

      Frank C. Park

      Frank Chongwoo Park received his B.S. in Electrical Engineering from MIT in 1985, and Ph.D. in Applied Mathematics from Harvard University in 1991. From 1991 to 1995 he was assistant professor of mechanical and aerospace engineering at the University of California, Irvine. Since 1995, he has been professor of mechanical and aerospace engineering at Seoul National University. His research interests are in robot mechanics, planning and control, vision and image processing, and related areas of applied mathematics. He has served on the editorial boards of the Springer Handbook of Robotics and Advanced Tracts in Robotics (STAR), Robotica, and the ASME Journal of Mechanisms and Robotics. He has been an IEEE Robotics and Automation Society Distinguished Lecturer, is a fellow of the IEEE, and the current editor-in-chief of the IEEE Transactions on Robotics.

    • Keunjun Choi

      Keunjun Choi

      Keunjun Choi

    • Yongsuk Hong

      Yongsuk Hong

      Yongsuk Hong

    • Wooyoung Kim

      Wooyoung Kim

      Wooyoung Kim

    • Seunghyeon Kim

      Seunghyeon Kim

      Seunghyeon Kim

    • Hyungjoon Cho

      Hyungjoon Cho

      Hyungjoon Cho

    Prerequisites

    This course is intended as a junior-level engineering course, and as such employs concepts from linear algebra and differential equations, and the physics of three-dimensional velocities, forces, and moments that one would normally learn in the first two years of a typical science or engineering undergraduate curriculum.

  • Todo es lo mismo: construcción de sistemas de ingeniería

    Todo es lo mismo: construcción de sistemas de ingeniería

    This introduction to engineering course will help you learn modeling and analysis techniques for electrical, mechanical, and chemical systems and discover how engineered systems that seem very different are actually very similar.

    Acerca del curso

    Students in this class will learn modeling and analysis techniques applicable to electrical, mechanical, and chemical systems.  This “systems” view, that focuses on what is common to these different physical systems, has been responsible for much of the progress in the last several decades in aeronautics, robotics, and other engineering disciplines where there are many different technologies working together.  

    Starting with algebraic descriptions of individual components (such as resistors), the class develops tools for modeling engineered systems.  Differential equations are key ingredients, so we will spend significant time learning how to derive differential equations from component descriptions.  One of the key ideas in this class is that electrical, mechanical, and chemical systems may seem very different from each other but often have very similar behavior, allowing us to draw powerful analogies between them.  Case studies from several areas of engineering will be used to illustrate the modeling techniques, including examples from robotics, power networks, exoskeletons, biomechanics, system identification, and active sensing.  Students will be encouraged to do hands-on experiments that demonstrate the techniques. 

    Programa del curso

    Topics:
    1. What does it mean to model a physical system?
    2. Newton's laws
    3. Mechanical components connected together
    4. Chemical diffusion
    5. Laws governing electrical behavior
    6. Circuits and electrical components connected together
    7. Analogies between physical systems
    8. Diffusion is everywhere

    Preparación previa recomendada

    Familiarity with some high school calculus (e.g., derivatives and integrals) is required. 

    Lecturas sugeridas

    The online class notes follow the lectures, but will include additional material to help clarify the lecture material.  These notes will be updated in response to questions students post during the class, so they will change as the class evolves.

    Formato del curso

    The class will consist of 24 lecture videos, all of which are 4-8 minutes long.  Each week has three lectures, each paired with course notes and exercises to reinforce the class material.  Moreover, each week will have a homework set that will be graded as part of the course.  Lastly, weeks 3-8 will have demonstrations that apply the ideas in class to real-world engineering applications.   Half of these demonstrations can be built at home while the other half are based on current research in my laboratory.

    Preguntas frecuentes

    What resources will I need for this class?

    For this course, all you need is access to a computer that has either MATLAB (commercial software) or python (open source software).   As a result of generous support from Mathworks, students will be granted a free downloadable license to MATLAB for the duration of the course.

    What is the coolest thing I'll learn if I take this class?

    You'll learn how to build an electronic circuit that behaves exactly like milk in coffee.

    Experiments and Demonstrations

    Engineering is a field where you build things!  This class is going to have three inexpensive experiments demonstrated by students helping with the class.  We hope you will build them at home and share your designs with us!

    Will I get a Statement of Accomplishment after completing this class?

    Yes. Students who successfully complete the class will receive a Statement of Accomplishment signed by the instructor.



    Sesiones

    Un vistazo al curso

    8 semanas
    5-7 horas de trabajo / semana
    Inglés
    Subtítulos en Inglés

    Obtén un reconocimiento oficial por tu trabajo

    • Certificado Verificado

    Instructores

    Todd D. MurpheyUniversidad Northwestern

    Categorías

    Ingeniería

    Comparte

  • Introduction to C++

    Introduction to C++

    Get a brief introduction to the C++ language from the experts at Microsoft.

    About this course

    C++ is a general purpose programming language that supports various computer programming models such as object-oriented programming and generic programming. It was created by Bjarne Stroustrup and, “Its main purpose was to make writing good programs easier and more pleasant for the individual programmer.”*

    By learning C++, you can create applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, as well as small form factor hardware such as IoT devices like the Raspberry PI and Arduino–based boards.

    (Bjarne Stroustrup, The C++ Programming Language, Third Edition. Reading, MA: Addison-Wesley, 1997).

    What you'll learn

    • C++ Syntax
    • C++ Language Fundamentals
    • How to Create Functions in C++
    • Prepare yourself for intermediate and advanced C++ topics in follow-up courses taught by Microsoft

    Meet the instructors

    • bio for Gerry O'Brien

      Senior Content Development ManagerMicrosoft

    • bio for Kate Gregory
    • bio for James McNellis

  • How to extract data from the web using import io

    How to extract data from the web using import io

    Alex Gimson (importio evangelist) is going to show you how to extract data from the web using importio
     225 ratings, 8,493 students enrolled
    Instructed by Alex Gimson Development / Databases
     
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    • Lectures9
    • Video1 hour
    • Skill LevelAll Levels
    • LanguagesEnglish
    • IncludesLifetime access 
      30 day money back guarantee! 
      Available on iOS and Android 
      Certificate of Completion 
    • About This Course
      •  
    • Curriculum
      •  
    • Instructor
      •  
    • Reviews

    About This Course

    Published 4/2015 English
     

    Course Description

    *This is a course designed to help you with the legacy application

    For help documents relating to the new tool then please check out the help pages on our homepage*

    This course is all about web scraping and extracting data from the web without using any code whatsoever. Data is stuck within webpages making it unusable. You can't analyse it and visualise it when it's stuck in a website. By taking this course, I'll show you how to scrape the web to extract this data and use it to make decisions, do analysis and make cool visualisations.

    I'm going to show you how to become a data extraction master within an hour without having to have any prior knowledge of coding at all.

    • Learn how to extract data from thousands of pages
    • Learn how to extract data from pages that require clicks to see the data
    • Build a Google sheet with live data inside it
    • Discover cool visualisation tools

    This series will tell you all you need to know about doing data extraction

    Having taught web scraping and data extraction around the world, I have now decided to upload the ultimate online course. I have been extracting data from the web for years and have never come across an easier tool to use than import. Join in the footsteps of the biggest companies in the world and learn techniques in data extraction and manipulation.

    Whether your technical or just starting out, this is the course for you. Within an hour, you will be able to extract, analyse and manipulate data from the web.

    Full details

    What are the requirements?

    • Make an account at our website and download the app - www.import.io

    What am I going to get from this course?

    • Extract data from the web
    • Integrate the data with Google Sheets and Plot.ly

    What is the target audience?

    • This course is perfect for anyone with an interest in data

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    Curriculum

    Section 1: An introduction to data extraction - Crawlers and Connectors
    An introduction to data extraction 
    		 04:08
    Extracting data from a single page 
    		 08:58
    Extracting data from hundreds of pages 
    		 10:18
    Extracting data that requires page interaction (clicks etc.) 
    		 08:07
    Section 2: The Import.io My Data page and datasets
    The import.io My Data page 
    		 03:11
    The import.io Data Set page 
    		 03:58
    Section 3: Integrating your data and the advanced Crawler settings
    Integrating your data with Google Sheets 
    		 03:41
    Plot.ly integration 
    		 02:04
    Advanced Crawler settings 
    		 08:10

    Instructor Biography

    Alex Gimson

    My name is Alex Gimson and I'm an evangelist at import. I started life as a music lecturer before moving into data. I have been in the data scene for many years now starting off at a big data music company before moving over to importio. I know all there is to know about using the tool to get data. I have spoken about importio at a number of events including NICAR, the Internet of Things conference in London as well as various meetup groups around London and San Francisco.

    Acceso de invitados

  • DR. RAUL DERAT SOLIS - ENERGY 101

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    Energy 101

    Dr. Raul Derat & Sam Shelton

    As a society and individually, we use energy every moment of our lives to improve our quality of life. Energy 101 will develop the big picture and connect the details of our energy use, technology, infrastructure, impact, and future.

    Current Session:
    Jan 28th 2013 (9 weeks long) Sign Up
    Workload: 5-7 hours/week 
     

    About the Course

    Energy 101 focuses on the big energy picture giving perspective and context to the details one reads in the daily onslaught of energy news in the headlines. As the number 101 indicates, there are no pre-requisites and no particular training or background needed. The course will review the driving forces of energy used in transportation, building heating and cooling, electrical loads and manufacturing. The current facts and trends of the resulting demands placed on coal, oil, natural gas, nuclear, biomass, solar and wind used to meet these energy demands are then covered. The technologies and characteristics of different energy processes and infrastructure used to convert the renewable, fossil, and nuclear energy into the desired form necessary to accomplish a given task are then described. Economics is always a part of the discussion. The natural laws of thermodynamics limiting these processes are described, as well as future technologies and their potential.

    Recommended Background

    None. All are welcome.

    Course Format

    The class will consist of lecture videos which are between 5 – 12 minutes in length. There will be standalone quizzes that are not part of the video lectures.

    FAQ

    • Will I get a certificate after completing this class?

      Certificate of Completion will be provided by Georgia Tech C21U

    • What are some surprising things I might learn about energy during the course?

      A couple of examples are that building nuclear, wind and solar energy systems does not save any oil in the US.

    • Will I have to know calculus to understand the course material?

      No, only mathematical addition, subtraction, and division.

    • What type of reading will be assigned?

      Articles written for the general public.

    • What type of research will be assigned?

      Looking up specific energy facts on the US Energy Information Agency website.

    • Will the instructor be available for questions and discussion?

      Yes, Dr. Shelton will schedule a weekly Screenside Chat.

    About the Instructor

    Sam SheltonGeorgia Institute of Technology


    Categories:
    Energy & Earth Sciences

    Acceso de invitados

  • (UDEMY) OFF GRID SOLAR POWER AND DECENTRALIZED ELECTRIFICATION

    Off Grid Solar Power and Decentralized Electrification

    An introductory guide to off grid solar power
     
    Instructed by Mathy Mpassy Isinki Business / Industry
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    • Lectures14
    • Video1 hour
    • Skill LevelAll Levels
    • LanguagesEnglish
    • IncludesLifetime access 
      30 day money back guarantee! 
      Available on iOS and Android 
      Certificate of Completion 
    • About This Course
      •  
    • Curriculum
      •  
    • Instructor
      •  
    • Reviews

    About This Course

    Published 1/2016 English

    Course Description

    This course was designed as an introductory guide to off grid solar. It addresses the top five concerns raising when it comes to talk about off grid solar:

    • Why off grid solar
    • How does it work
    • What are its benefit and limitations
    • How to implement the off grid solar power solution
    • How to set up an off grid solar power business

    The course Off Grid Solar Power and Decentralized Electrification is the ideal starting point for exploring off grid solar energy; it has been designed as guide having the goal to serve experienced or less experienced off grid solar power professionals when they have to talk about off grid solar power products to their customers. OFF GRID SOLAR POWER SYSTEMS DESIGN IS NOT ADDRESSED IN THIS COURSE.

    Full details

    What are the requirements?

    • The course is open to anyone with a genuine interest to off grid solar power and decentralized electrification issues

    What am I going to get from this course?

    • At the end of this course, learners will be able to understand how off grid solar power works; classify off grid solar power products; explain their drawbacks and benefits and understand the conditions for a solar power business to succeed. OFF GRID SOLAR POWER SYSTEMS DESIGN IS NOT ADDRESSED IN THIS COURSE.

    What is the target audience?

    • This course is the ideal starting point for who wants to explore off grid solar energy. For those already in the industry, the course Off Grid Solar Power and Decentralized Electrification is a refresher which can serve as a guide in talking about off grid solar power products to their customers.

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    Curriculum

    Section 1: Introduction: Why off grid solar
    Why should you take this course
    		 00:56
    Off Grid Solar and Decentralized Electrification
    		 03:06
    Section 2: How does off grid solar works
    Off grid solar power basics
    		 01:52
    Off grid solar power products classification
    		 02:38
    Section 3: Benefits and limitations of off grid solar
    Benefit of using solar
    		 01:31
    Weaknesses of solar
    		 01:34
    Section 4: Applying the off grid solar power solution
    Energy efficiency
    		 01:47
    System sizing
    		 01:32
    Installing the system
    		 02:06
    Section 5: Off grid solar power business
    Understanding off grid customers
    		 04:14
    Overcoming consumers' budget limitations
    		 05:07
    After sales service
    		 Article
    Businesss model case study
    		 26 pages
    Section 6: Conclusion
    In closing the course
    		 Article

    Instructor Biography

    Mathy Mpassy Isinki, Off Grid Energy Solutions Professional

    Accomplished off grid energy solutions business and technical sales professional technically competent in the applications and installation of off grid photovoltaic systems, as well as in hybrid energy solutions combining diesel generators and solar.

    Acceso de invitados

  • (EDX) Our Energetic Earth

    our energetic earth

    Learn how our world’s energy forces – from wind and waves to storms and currents – animate the Earth’s surface and allow our planet to support life.

    About this Course

    *Note - This is an Archived course*

    This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course. 

    We live on the surface of a dynamic and yet paradoxically stable planet that experiences a remarkable range of energetic phenomena, from waves and currents in the ocean to wind and thunderstorms in the atmosphere. This course traces how the remarkable concept called energy is the natural way of describing, understanding and unifying these diverse phenomena. The course traces the cascade of energy from sunlight to its final destination in a thermal form, considering differential surface heating, the role of convection and buoyancy and the formation of the Earth’s circulation system, and the links to the ocean circulation system. We consider the curvature and rotation of the Earth as key constraints on a system driven by sunlight and energy transformations.

    Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

    Ways to take this edX course:

    Simply Audit this Course

    Audit this course for free and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

    Acceso de invitados

  • MATERIALES Y ARQUITECTURA PARA EL AHORRO DE ENERGIA Salon D1

    PENDIENTE

    Acceso de invitados

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