Courses tagged with "EdX" (24)

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Starts : 2014-10-06
No votes
edX Free Closed [?] Computer Sciences EdX

本课程着重于帮助学生理解编程思想,掌握基本的编程知识和技巧,并学习编写简单的程序。

Starts : 2017-07-11
367 votes
edX Free Computer Sciences English Computer Science EdX UC BerkeleyX

Part 2 of the UC Berkeley Agile Development Using Ruby on Rails XSeries Program will teach you to use JavaScript to enhance applications and create more sophisticated apps by adding relationships between models within the Ruby on Rails framework. You will also learn about what happens after the apps are deployed to real users, including how to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Finally, learners will see how to apply Agile techniques to enhance and refactor legacy code and practice app deployment to real users to monitor performance, identify and fix common performance problems, and avoid compromising customer data. 

Other topics covered in this software engineering course include:

  • How to form, organize and manage small programming teams
  • Introduction to design patterns: what they are and how to recognize opportunities to apply them
  • Using Rails for more advanced features like third-party authentication and elegantly expressing design patterns that arise frequently in SaaS

There will be four homework assignments: two programming assignments, an open source assignment and one assignment about operations/deployment. There will also be several short quizzes. The videos and homework assignments used in this offering of the course were revised in October 2016.

Starts : 2017-05-09
No votes
edX Free Computer Sciences English Computer Science EdX UC BerkeleyX

This intermediate computer programming course uncovers how to code long-lasting software using highly-productive Agile techniques to develop Software as a Service (SaaS) using Ruby on Rails. You will understand the new challenges and opportunities of SaaS versus shrink-wrapped software and learn to apply fundamental Rails programming techniques to the design, development, testing, and public cloud deployment of an Software as a Service (SaaS) application

Using best-of-breed tools that support modern development techniques including Behavior-Driven design, user stories, Test-Driven Development, velocity, and pair programming, learners will discover how modern programming language features in Ruby on Rails can improve productivity and code maintainability. 

Weekly coding projects and quizzes will be part of the learning experience in this SaaS course. Those who successfully complete the assignments and earn a passing grade can get a verified certificate from BerkeleyX. The videos and homework assignments have been updated to use Ruby 2, Rails 4 and RSpec 3. The new class also includes embedded live chat with Teaching Assistants and other students and remote pair programming with other students.

Starts : 2017-02-21
No votes
edX Free Computer Sciences English Computer Science EdX IITBombayX

Algorithms power the biggest web companies and the most promising startups. Interviews at tech companies start with questions that probe for good algorithm thinking.

In this computer science course, you will learn how to think about algorithms and create them using sorting techniques such as quick sort and merge sort, and searching algorithms, median finding, and order statistics.

The course progresses with Numerical, String, and Geometric algorithms like Polynomial Multiplication, Matrix Operations, GCD, Pattern Matching, Subsequences, Sweep, and Convex Hull. It concludes with graph algorithms like shortest path and spanning tree.

Topics covered:

  • Sorting and Searching
  • Numerical Algorithms
  • String Algorithms
  • Geometric Algorithms
  • Graph Algorithms

This course is part of the Fundamentals of Computer Science XSeries Program

Starts : 2017-05-01
527 votes
edX Free 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 : 2016-06-28
141 votes
edX Free Computer Sciences English EdX Electronics Engineering MITx Science

Want to learn how your radio works? Wondering how to implement filters using resistors, inductors, and capacitors? Wondering what are some other applications of RLC and CMOS circuits? This free circuit course, taught by edX CEO and MIT Professor Anant Agarwal and MIT colleagues, is for you.

The third and final online Circuits and Electronics courses is taken by all MITElectrical Engineering and Computer Science (EECS) majors.

Topics covered include: dynamics of capacitor, inductor and resistor networks; design in the time and frequency domains; op-amps, and analog and digital circuits and applications. Design and lab exercises are also significant components of the course.

Weekly coursework includes interactive video sequences, readings from the textbook, homework, online laboratories, and optional tutorials. The course will also have a final exam.

This is a self-paced course, so there are no weekly deadlines. However, all assignments are due by June 15, 2017, when the course will close.

 

Student Testimonials

“Brilliant course! It's definitely the best introduction to electronics in Universe! Interesting material, clean explanations, well prepared quizzes, challenging homeworks and fun labs.” - Ilya.

“6.002x will be a classic in the field of online learning. It combines Prof. Agarwal's enthusiasm for electronics and education. The online circuit design program works very well. The material is difficult. I took the knowledge from the class and built an electronic cat feeder.” - Stan 

Starts : 2014-06-20
No votes
edX Free Closed [?] Computer Sciences EdX

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

Starts : 2017-06-01
180 votes
edX Free Computer Sciences English Computer Science EdX UC San DiegoX

Today, computer graphics is a central part of our lives, in movies, games, computer-aided design, virtual reality, virtual simulators, visualization and even imaging products and cameras. This course, part of the Virtual Reality (VR) Professional Certificate program, teaches the basics of computer graphics that apply to all of these domains.

Students will learn to create computer-generated images of 3D scenes, including flybys of objects, make a real-time scene viewer, and create very realistic images with raytracing. We will start with a simple example of viewing a teapot from anywhere in space, understanding the basic mathematics of virtual camera placement. Next, you will learn how to use real-time graphics programming languages like OpenGL and GLSL to create your own scene viewer, enabling you to fly around and manipulate 3D scenes. Finally, we will teach you to create highly realistic images with reflections and shadows using raytracing.

This course runs for 6 weeks and consists of four segments. Each segment includes an individual programming assignment:

  1. Overview and Basic Math (Homework 0: 10% of grade)
  2. Transformations (Homework 1: 20% of grade)
  3. OpenGL and Lighting (Homework 2: 35% of grade)
  4. Raytracing (Homework 3: 35% of grade)

This term, students who earn a total score of 50% or greater will have passed the course and may obtain a certificate from UC San DiegoX.

Starts : 2015-09-22
No votes
edX Free Computer Sciences English Computer Science EdX ETHx

Information Technology (IT) is everywhere. Every aspect of human activity depends on it. All IT processes, whether they drive mobile phones, the Internet, transportation systems, enterprise systems, publishing, social networks or any other application, rely on software.

In this new and improved version of the course, you will learn to write software with a progressive hint system for first time programmers. The core skill is programming; not just the ability to piece together a few “lines of code,” but writing quality programs, which will do their job right, and meet the evolving needs of their users. Anyone can write a program; this course teaches you to write good programs.

The course starts from the basics of computing and takes you through a tour of modern object-oriented programming, including classes, objects, control structures, inheritance, polymorphism, and genericity.

Throughout the course, you will have the opportunity to learn the principles of programming as well as the techniques for designing correct and reliable programs by using the Eiffel programming language and notation. You will be trying out example problems to provide your solution, and see it immediately compiled and tested from within your browser. To this end, we are using the Codeboard;web-based IDE, developed at the Chair of Software Engineering (ETH Zurich). 

Beyond programming, you will also get a glimpse at theoretical computer science, the set of mathematical techniques that underlie computation and makes today’s IT-based world possible.

In this third edition of the course we specifically focus on helping students with little or no programming experience. To this end, we have improved the introductory material about the Eiffel language, and we have implemented a progressive hint system students can use to get guidance on how to solve the programming exercises.

"Really good course. Followed it with a couple of experienced colleagues all of them having a computer science background. They really liked the concepts and programming in Eiffel a lot. Many thanks to the team making this course available! Can not wait to start with the advanced course!" --Previous CAMSx Participant

 

Previous edition course evaluation:

Overall course rating (1: worst grade, 6: best grade):

Grade Resp.   %Resp
1          1          2%
2          0          2%
3          3          6%
4          9        18%
5          20       40%
6          17       34%

Total respondents: 50
Average: 4.96

Starts : 2016-06-07
274 votes
edX Free Computer Sciences English Computer Science EdX HarveyMuddX

Looking to get started with computer science while learning to program in Python?

This computer science  course provides an introduction to computer science that’s both challenging and fun. It takes a broad look at the field of computer science through a variety of demonstrations and projects. We’ll cover both low- and high-level concepts, from how the circuits inside a computer represent data to how to design algorithms, as well as how all of this information affects the technology we use today. Additionally, we’ll teach the basics of Python programming, giving us a a way to put our new CS knowledge into practice.

No need to know any programming before starting the course; we’ll teach everything you need to know along the way. All you need to start is a good grasp of algebra, and you can fall in love with both the concepts and the practice of computer science.

Starts : 2013-08-13
No votes
edX Free Closed [?] Computer Sciences EdX

CS169.2x teaches sophisticated SaaS+Agile skills, such as working with legacy code, building on basics from CS169.1x.

Starts : 2014-09-25
No votes
edX Free Closed [?] Computer Sciences EdX

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

Starts : 2015-09-15
No votes
edX Free Closed [?] Computer Sciences English Computer Science EdX TsinghuaX

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results.

数据结构是计算机科学的关键内容,也是构建高效算法的必要基础。其覆盖的知识,在相关专业的课程体系中始终处于核心位置。本课程旨在围绕各类数据结构的设计与实现,揭示其中的规律原理与方法技巧;同时针对算法设计及其性能分析,使学生了解并掌握主要的套路与手法。讲授的主题从基础的数据结构,一直延伸至新近的研究成果。

This course is presented in Mandarin.

 

FAQ

In what language will this course be offered?

Mandarin.

Will the text of the lectures be available?

Yes. All of our lectures will have transcripts synced to the videos.

Do I need to watch the lectures live?

No. You can watch the lectures at your leisure.

Will certificates be awarded?

Yes. Online learners who achieve a passing grade in a course can earn a certificate of  mastery. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of DelftX, designating the institution from which the course originated.

Can I contact the Instructor or Teaching Assistants?

Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.

Is this course related to a campus course at Tsinghua?

Yes. This course corresponds to the campus courses 00240074 (elective for undergraduates of all majors) and 30240184 (required for CS undergraduates), both named Data Structures.

What is the textbook of the course?

Junhui DENG, Data Structures in C++, Sep. 2013, 3rd edn., Tsinghua University Press, ISBN: 7-302-33064-6. (in Chinese)

What is the grading breakdown?

60% - 12 problem sets

40% - 4 programming assignments

 

Starts : 2017-03-07
No votes
edX Free Computer Sciences English Computer Science EdX MITx

6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving . This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For example, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient's body.

Topics covered include:

  • Advanced programming in Python 3
  • Knapsack problem, Graphs and graph optimization
  • Dynamic programming
  • Plotting with the pylab package
  • Random walks
  • Probability, Distributions
  • Monte Carlo simulations
  • Curve fitting
  • Statistical fallacies

Starts : 2014-02-17
No votes
edX Free Closed [?] Computer Sciences EdX

This course covers functional, object-oriented, and declarative dataflow programming in a unified framework.

Starts : 2017-03-07
No votes
edX Free Computer Sciences English Business & Management Computer Science Data Analysis & Statistics EdX Engineering Humanities

How do you design a mobile app that truly changes people's lives? How can you understand how a new service is being used, both quantitatively and qualitatively? How can you use all of the rich sensing and I/O capabilities of mobile devices to create experiences that go far beyond what's possible on a traditional computer?

Mobile devices are changing the ways that we interact with each other and information in the world. This course will take you from a domain of interest, through generative research, design, usability, implementation and field evaluation of a novel mobile experience. You'll finish the course with a working, field-tested application suitable for release in the app store as well as a deep understanding of human interaction with mobile devices and services.

Based on a popular MIT class that has been taught since 2006 by Frank Bentley of Yahoo Labs and Ed Barrett, a Senior Lecturer at MIT, this course will explore what makes mobile devices unique. A primary focus will be on studying existing behavior and using key findings for design. While writing the code for an app is a part of the class, the majority of the topics will cover designing and evaluating a unique mobile experience. Along the way, you will have opportunities to share your work with other students from around the world! Java experience (or Objective C for iOS users) and a smartphone are required.

All required readings are available within the courseware, courtesy of The MIT Press. A print version of the course textbook, Building Mobile Experiences, is also available for purchase. The MIT Press is offering enrolled students a special 30% discount on books ordered directly through the publisher’s website. To take advantage of this offer, please use promotion code BME30 at The MIT Press site.

Starts : 2014-10-27
No votes
edX Free Computer Sciences English Biology & Life Sciences Computer Science EdX EPFLx Math Physics

This course gives an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Neurons encode information about stimuli in a sequence of short electrical pulses (spikes). Students will learn how mathematical tools such as differential equations, phase plane analysis, separation of time scales, and stochastic processes can be used to understand the dynamics of neurons and the neural code.


Week 1: A first simple neuron model

Week 2:  Hodgkin-Huxley models and biophysical modeling

Week 3: Two-dimensional models and phase plane analysis

Week 4: Two-dimensional models (cont.)/ Dendrites

Week 5: Variability of spike trains and the neural code

Week 6: Noise models, noisy neurons and coding

Week 7: Estimating neuron models for coding and decoding

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

Starts : 2017-02-21
No votes
edX Free Computer Sciences English Computer Science EdX IITBombayX

Go beyond the basics of programming to understand object-oriented methodology, the approach to modular and reusable software systems.

Topics Include:

  • Introduction to Object Oriented Programming
  • Classes and Methods
  • Polymorphism
  • Inheritance
  • Standard Library of C++

This course is part of the Fundamentals of Computer Science XSeries Program

Starts : 2014-04-07
No votes
edX Free Closed [?] Computer Sciences EdX

Data Analysis for Genomics will teach students how to harness the wealth of genomics data arising from new technologies, such as microarrays and next generation sequencing, in order to answer biological questions, both for basic cell biology and clinical applications.

Starts : 2014-02-24
No votes
edX Free Computer Sciences English Computer Science EdX Literature PekingX

This course is presented in Mandarin.

If you are having difficulty viewing this video in mainland China, you can also find it here.

课程介绍视频也可以访问中国网站

点击上方绿色按钮报名。

本课程适用于翻译硕士专业研究生、外语专业高年级本科生、翻译工作者以及外语爱好者等。

现代语言服务行业要求从业人员必须具有利用计算机及网络来使用各类技术辅助工具帮助其工作的能力,而不是仅仅学会几款狭义的计算机辅助翻译软件。

本课程主要讲授计算机辅助翻译技术的基础概念,学习多种计算机辅助翻译工具的使用方法,锻炼学生在技术环境下从事翻译工作等各类语言服务工作的能力,帮助学生理解信息化时代的语言服务工作。

课 程完整涵盖现代语言服务的基本情况介绍、翻译技术基本概念、语言服务项目执行过程的信息环境与信息技术、如何利用电子辞典、网络资源及语料库工具辅助翻译 工作、狭义和广义的计算机辅助翻译工具原理及实战演练、翻译内容质量评定、多人协同翻译项目、翻译管理等多方面的内容。作为翻译类专业学生的必修课程,本 课程适合语言类专业学生学习。通过课程的学习,有助于学习者了解现代语言服务行业,增强各类计算机辅助翻译工具的使用技能,提高包括翻译工作在内的各类语 言服务工作的效率。

该课程是“北大-德稻网络公开课程”中的一门,由北京大学与德稻教育联合提供。

This course is suitable for postgraduate students who major in Translation and Interpreting, undergraduate students majoring in foreign language, translators and language enthusiasts.

Those who work in modern language service industry are required to be capable of using computers and Internet to aid their translation job by adapting a variety of efficient tools, rather than just using word processor tools and several basic computer-aided translation software.

This course teaches the basic concepts of computer-aided translation technology, helps students learn to use a variety of computer-assisted translation tools, enhances their ability to engage in various kinds of language service in such a technical environment, and helps them understand what the modern language service industry looks like.

This course covers introduction to modern language services industry, basic principles and concepts of translation technology, information technology used in the process of language translation, how to use electronic dictionaries, Internet resources and corpus tools, practice of different computer-aided translation tools, translation quality assessment, basic concepts of machine translation, globalization, localization and so on. As a compulsory course for students majoring in Translation and Interpreting, this course is also suitable for students with or without language major background. By learning this course, students can better understand modern language service industry and their work efficiency will be improved for them to better deliver translation service.

The course is one of the PKU-DeTao MOOCs, which is a joint effort by Peking University and DeTao Masters Academy.

Are there any reference books for this course?

Students are recommended to read at least the following books.

  1. Lynne Bowker, Computer Aided Translation, University of Ottawa Press, Ottawa,2002
  2. Frank Austermühl, Electronics Tools for Translators, St. Jerome Publishing, Manchester,2001

Will this course provide an English course video?

Will this course provide an English course video?

本课程是否有参考教材?

为了能够更好得了解本课程所涉及的内容,学生可以阅读下面的资料:

  1. Lynne Bowker, Computer Aided Translation, University of Ottawa Press, Ottawa, 2002
  2. Frank Austermühl Electronics Tools for Translators, St. Jerome Publishing, Manchester, 2001(外研社曾翻印过,2006/07)
  3. 史宗玲,计算机辅助翻译:MT&TM,书林出版有限公司,台北,2004
  4. C.K. Quah, Translation and Technology, 上海外语教育出版社,2008