Online courses directory (684)
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.
Learn MySQL and Take Your Web Development to the Next Level.
SQL is the language of all databases, this course offers an easy way to master the SQL fundamentals
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.
In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.
The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a “quick question” to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we’ll use in the course. See the Software FAQ below for more info). In the middle of the class, we will run an analytics competition, and at the end of the class there will be a final exam, which will be similar to the homework assignments.
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.
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
This course teaches the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in life sciences. The lectures are taught in both Mandarin Chinese and English with slides in English. 生物信息学是一门新兴的生命科学与计算科学的前沿交叉学科。本课程讲授生物信息学主要概念和方法，以及如何应用生物信息学手段解决生命科学问题。本课程同时提供中文普通话授课和英文授课两个版本，以及英文幻灯片。
Learn the basics of MySQL during this introductory course.
Basic concepts of computer programming are introduced, starting with the notion of an algorithm. Emphasis is on developing the ability to write programs to solve practical computational problems.
Topics include:
- Algorithms
- Elements of C/C++ programming languages
- Basic data types
- Sequential and conditional execution
- Iterative solutions
- Arrays, matrices and their applications
- Functions
- Sorting and searching
- Elements of string processing
- Introduction to pointers
- Basics of Software Engineering
- Structures
- File Processing
Learners will read and understand many sample programs, and will have to write several on their own. This course deals with basic programming, and sets the foundation for solid programming practices for beginners.
This course is part of the Fundamentals of Computer Science XSeries Program:
This course introduces computer programming as a creative discipline to generate sounds, images, animation and more.
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:
How does cellular technology enable massive surveillance? Do users have rights against surveillance? How does surveillance affect how we use cellular and other technologies? How does it affect our democratic institutions? Do you know that the metadata collected by a cellular network speaks volumes about its users? In this course you will explore all of these questions while investigating related issues in WiFi and Internet surveillance. The issues explored in this course are at the intersection of networking technology, law, and sociology and will appeal to anyone interested in the technical, political, and moral questions inherent in the use of information networks. The course will include broad overviews for the novice, while pointing to the detailed resources needed for those engaged in the development of corporate or governmental policies.
《程序设计实习》课程是北京大学的本科生主干基础课程。课程的主要目标有二： 一、掌握C++语言的语法和标准模板库，能用C++语言以面向对象的方法来编写规模较大的程序。 二、掌握枚举、递归、搜索、动态规划等基本的算法思想。通过大量的高强度的编程训练，提高动手能力，做到能较为熟练、完整、准确地实现自己设计的程序，为进一步学习其他计算机专业课程，或在其他专业领域运用计算机编程解决问题奠定良好的基础。
This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, we take a "build security in" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems.
“数据结构与算法”是计算机学科中的核心基础课程。课程的主要目标培养学生较全面地理解基本数据结构的概念和经典算法的思想及各种实现方法，掌握数据结构和算法的设计分析技术。根据所求解问题的性质选择合理的数据结构并对时间空间复杂性进行必要的控制，提高程序设计的质量。使得学生在将来的学习、研究和工作中，具备设计和实现高效的数据结构和算法的能力。
Explore how the web has changed our world in the past 25 years and what might happen next.
This course is a hands-on introduction to statistical data analysis that emphasises fundamental concepts and practical skills.
Explore the latest trends in digital marketing. Get beneath the hype. What are the implications? How will you respond?
Do you want to know what Gamification really is about? Do you want to learn how to design fun and engaging experiences? Are you ready to change your world with game design? Then join us in this MOOC!
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