Courses tagged with "Computer Science" (735)

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Starts : 2017-04-01
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edX Free Closed [?] English Computer Science EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Front-End Web Development

Want to get started building Web pages with AngularJS, but feel a little overwhelmed? You’ve come to the right place. This course will teach you the programming language using a series of easy to understand AngularJS tutorials. The hands-on approach will teach you how the AngularJS framework works, and enable you to use HTML as your template language. You’ll also learn the basics of AngularJS’s module definition and how to perform basic dependency injection between components.

This course is best suited for anyone wanting to learn how to use the AngularJS framework through hands-on AngularJS tutorials and examples. Students should have some prior HTML, CSS, and JavaScript training or knowledge.

Starts : 2017-04-10
No votes
edX Free Closed [?] English ColumbiaX Computer Science EdX Physics

How do you create realistic animations? How do you predict the motion of materials? It’s key to the success of animated films to ensure (was insure) audiences believe in characters.

This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation.

You will learn the fundamental concepts of physical simulation, including:

  1. integration of ordinary differential equations such as those needed to predict the motion of a dress in the wind.
  2. formulation of models for physical phenomena such as crumpling sheet metal and flowing water.
  3. treatment of discontinuities such as fractures and collisions.
  4. simulation of liquids and solids in both Lagrangian and Eulerian coordinates.
  5. artistic control of physically-based animations.

These concepts will be put into practice in the programming assignments spanning:

  • Discretizing and integrating Newton’s equations of motion
  • Constrained Lagrangian Mechanics
  • Collisions, contact, and friction: detection and response
  • Continuum mechanics
  • Finite elements
  • Rigid body simulation
  • Thin shell and cloth simulation
  • Elastic rod and hair simulation
  • Fluid simulation

Starts : 2016-09-06
No votes
edX Free Closed [?] English Computer Science Education & Teacher Training EdX PurdueX

In this computer science course, you will learn the basics of programming in the Java language, and cover topics relevant to the AP Computer Science A course and exam.

This course includes a broad view of computer operation, the global impact of computing, and then introduces Java programming concepts including variables, selection and object-oriented design.

This course is for anyone interested in taking a first-level computer-programming course, particularly those who attend a school that does not provide a similar class.

No previous programming knowledge is needed. We are looking forward to helping you explore this exciting new world!

Starts : 2017-01-09
No votes
edX Free Closed [?] English Computer Science Education & Teacher Training EdX PurdueX

In this computer science course, you will learn the basics of programming in the Java language, and cover topics relevant to the AP Computer Science A course and exam.

This course will cover:

  • classes
  • objects and object-oriented design
  • fields and visibility
  • constructors, mutators and accessor methods
  • encapsulation
  • interfaces
  • the List interface
  • method overriding

This course is for anyone interested in taking a first-level computer-programming course, particularly those who attend a school that does not provide a similar class.

No previous programming knowledge is needed, but it is recommended that learners be comfortable with the topics addressed in AP Computer Science A: Java Programming and AP Computer Science A: Java Programming Data Structures and Loops.

We are looking forward to helping you explore this exciting new world!

Starts : 2016-10-24
No votes
edX Free Closed [?] English Computer Science Education & Teacher Training EdX PurdueX

In this computer science course, you will learn the basics of programming in the Java language, and cover topics relevant to the AP Computer Science A course and exam.

This course will cover repetition statements (for, while, do-while and for-each), the array data structure, methods and recursion.

This course is for anyone interested in taking a first-level computer-programming course, particularly those who attend a school that does not provide a similar class.

No previous programming knowledge is needed, although it is recommended that learners be comfortable with the topics addressed in AP Computer Science A: Java Programming.

We are looking forward to helping you explore this exciting new world!

Starts : 2017-02-27
No votes
edX Free Closed [?] English Computer Science Education & Teacher Training EdX PurdueX

This computer science course covers advanced OOP strategies, including polymorphism, abstract classes, super keyword, exceptions, generics, sorting and searching algorithms.

This course is for anyone interested in taking a first-level computer-programming course, particularly those who attend a school that does not provide a similar class.

We are looking forward to helping you explore this exciting new world!

Starts : 2017-06-13
No votes
edX Free Closed [?] English Computer Science EdX UPValenciaX

Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Resolveremos problemas que aparecen en la logística, la robótica, la genética, la sociología, el diseño de redes y el cálculo de rutas óptimas, mediante el uso de la Teoría de Grafos. Nuestro objetivo será presentar tanto los contenidos de la misma como la modelización de los casos planteados.

En cada tema comenzaremos presentando el problema a resolver. Posteriormente introduciremos la teoría y los algoritmos correspondientes, modelizaremos el problema propuesto y finalmente hallaremos su solución. En general explicaremos en qué consiste y cómo se deduce cada algoritmo, haciendo para ello una traza a modo de ejemplo.

 

 

Starts : 2015-02-23
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics DavidsonX EdX Math

From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world. A major tool to manipulate and study this data is linear algebra. This course is part 1 of a 2-part course.  In this part, we’ll learn basics of matrix algebra with an emphasis on application. This class has a focus on computer graphics while also containing examples in data mining. We’ll learn to make an image transparent, fade from one image to another, and rotate a 3D wireframe model. We’ll also mine data; for example, we will find similar movies that one might enjoy seeing. In the topic of sports ranking, we’ll be ready to participate in March Madness and submit our own mathematically generated brackets to compete against millions of others. The lectures are developed to encourage you to explore and create your own ideas either through your own programming but also with online tools developed for the course. Come to this course ready to investigate your own ideas.

Courses offered via edX.org are not eligible for academic credit from Davidson College. A passing score in a DavidsonX course(s) will only be eligible for a verified certificate generated by edX.org.

Starts : 2015-04-06
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics DavidsonX EdX Math

Our world is in a data deluge with ever increasing sizes of datasets. Linear algebra is a tool to manage and analyze such data.

This course is part 2 of a 2-part course, with this part extending smoothly from the first. Note, however, that part 1, is not a prerequisite for part 2. In this part of the course, we'll develop the linear algebra more fully than part 1. This class has a focus on data mining with some applications of computer graphics. We'll discuss, in further depth than part 1, sports ranking and ways to rate teams from thousands of games. We’ll apply the methods to March Madness. We'll also learn methods behind web search, utilized by such companies as Google.  We'll also learn to cluster data to find similar groups and also how to compress images to lower the amount of storage used to store them. The tools that we learn can be applied to applications of your interest.  For instance, clustering data to find similar movies can be applied to find similar songs or friends. So, come to this course ready to investigate your own ideas.

Courses offered via edX.org are not eligible for academic credit from Davidson College. A passing score in a DavidsonX course(s) will only be eligible for a verified certificate generated by edX.org.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.

52 votes
Khan Academy Free Closed [?] Computer Sciences Advanced Algorithms Algorithms Applied Math Computer Science Randomized Algorithms Software Engineering

Starts : 2016-08-29
No votes
edX Free Closed [?] English Computer Science EdX Engineering HarvardX

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new AP CS Principles curriculum framework.

An entry-level course taught by David J. Malan, CS50 AP teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2015, the on-campus version of CS50 was Harvard's largest course.

Students in high school may receive AP credit for this course provided their school approves the credit and administers the College Board's end-of-year exam. Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are also eligible to receive a verified certificate from HarvardX.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science EdX Microsoft

This technology-agnostic course begins by explaining the benefits of distributed cloud applications with an emphasis on maintaining high-availability and scalability in a cost-effective way while also dealing with inevitable hardware and software failures. Then, the course moves on to:

  • Microservices and containers
  • Networking communication
  • Messaging communication
  • Versioning, upgrading and configuration
  • Data storage services
  • Disaster recovery

This course is for anyone considering or actively working on a distributes cloud application. It is designed to provide you with a thorough understanding of these concepts, the various pros and cons of specific technologies, and the resilient patterns that are heavily used by distributed cloud applications. This knowledge will help you to easily build cost-efficient and fault-tolerant systems.

The course contains labs to practice your learning, review questions for self-assessment, and a final exam to validate learning. A score of 70% is required to pass the final exam and receive a certificate for the course.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science EdX Microsoft

Azure is Microsoft’s cloud computing platform, a growing collection of integrated services—analytics, computing, database, mobile, networking, storage, and web—for moving faster, achieving more, and saving money.

In this computer science course, you’ll apply what you already know about implementing solutions on Microsoft Azure to learn solution design skills. At the completion of this course, you will be able to identify tradeoffs and make decisions for designing public and hybrid cloud solutions.

This course will help you prepare for the Microsoft Certification Exam 70-534: Architecting Microsoft Azure Solutions.

Note: To complete the final assignment in this course, you will need an Azure subscription. You can use your existing Azure account, or sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the final assignment.

Starts : 2017-05-01
527 votes
edX Free Closed [?] Computer Sciences English ColumbiaX Computer Science EdX

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

Starts : 2015-01-12
96 votes
Coursera Free Computer Sciences English Artificial Intelligence Computer Science

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science EdX Microsoft

Want to supercharge your JavaScript? Asynchronous programming keeps web applications responsive by allowing multiple tasks to be processed at the same time.

This computer science course will cover the latest asynchronous features in JavaScript, such as Promises and Generators. By the end of this course, you should be able to make asynchronous network requests and write maintainable asynchronous code in JavaScript.

Starts : 2015-09-12
96 votes
Coursera Free Computer Sciences English Computer Science Theory

This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

Starts : 2017-06-19
No votes
edX Free Closed [?] Engineering English Computer Science EdX ETHx Math Science

Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, environment perception, probabilistic map based localization and mapping, and motion planning. The lectures and exercises of this course introduce several types of robots such as wheeled robots, legged robots and drones.

This lecture closely follows the textbook Introduction to Autonomous Mobile Robots by Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, second edition 2011.

Starts : 2015-05-05
No votes
edX Free Closed [?] Engineering English Computer Science EdX TUMx

In recent years, flying robots such as miniature helicopters or quadrotors have received a large gain in popularity. Potential applications range from aerial filming over remote visual inspection of industrial sites to automatic 3D reconstruction of buildings. Navigating a quadrotor manually requires a skilled pilot and constant concentration. Therefore, there is a strong scientific interest to develop solutions that enable quadrotors to fly autonomously and without constant human supervision. This is a challenging research problem because the payload of a quadrotor is uttermost constrained and so both the quality of the onboard sensors and the available computing power is strongly limited. 

In this course, we will introduce the basic concepts for autonomous navigation for quadrotors. The following topics will be covered:

  • 3D geometry,
  • probabilistic state estimation,
  • visual odometry, SLAM, 3D mapping,
  • linear control.

In particular, you will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.

The course consists of a series of weekly lecture videos that we be interleaved by interactive quizzes and hands-on programming tasks. For the flight experiments, we provide a browser-based quadrotor simulator which requires the students to write small code snippets in Python.

This course is intended for undergraduate and graduate students in computer science, electrical engineering or mechanical engineering. This course has been offered by TUM for the first time in summer term 2014 on EdX with more than 20.000 registered students of which 1400 passed examination. The MOOC is based on the previous TUM lecture “Visual Navigation for Flying Robots” which received the TUM TeachInf best lecture award in 2012 and 2013.

FAQ

Do I need to buy a textbook?

No, all required materials will be provided within the courseware. However, if you are interested, we recommend the following additional materials:

  1. This course is based on the TUM lecture Visual Navigation for Flying Robots. The course website contains lecture videos (from last year), additional exercises and the full syllabus: http://vision.in.tum.de/teaching/ss2013/visnav2013
  2. Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard and Dieter Fox. MIT Press, 2005.
  3. Computer Vision: Algorithms and Applications. Richard Szeliski. Springer, 2010.

Do I need to build/own a quadrotor?

No, we provide a web-based quadrotor simulator that will allow you to test your solutions in simulation. However, we took special care that the code you will be writing will be compatible with a real Parrot Ardrone quadrotor. So if you happen to have a Parrot Ardrone quadrotor, we encourage you to try out your solutions for real.

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