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Prakhar Srivastav 2015-01-12 08:26:03 +03:00
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@ -304,7 +304,7 @@ management, storage management, files, distributed systems, and case studies.
- Course taught by [Tony Jebara](http://www.cs.columbia.edu/~jebara/resume.html) introduces topics in Machine Learning for both generative and discriminative estimation. Material will include least squares methods, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models, hidden Markov models, support vector machines, and kernel methods.
- [Lectures and Assignments](http://www.cs.columbia.edu/~jebara/4771/handouts.html)
- [CS 75](http://ocw.tufts.edu/Course/75) **Introduction to Game Development** *Tufts University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- The course taught by [Ming Y. Chow](http://mchow01.github.io) teaches game development initially in PyGame through Python, before moving on to addressing all facets of game development. Topics addressed include game pysics, sprites, animation, game development methodology, sound, testing, MMORPGs and online games, and addressing mobile development in Android, HTML5, and iOS. Most to all of the development is focused on PyGame for learning principles
- The course taught by [Ming Y. Chow](http://mchow01.github.io) teaches game development initially in PyGame through Python, before moving on to addressing all facets of game development. Topics addressed include game physics, sprites, animation, game development methodology, sound, testing, MMORPGs and online games, and addressing mobile development in Android, HTML5, and iOS. Most to all of the development is focused on PyGame for learning principles
- [Text Lectures](http://ocw.tufts.edu/Course/75/Learningunits)
- [Assignments](http://ocw.tufts.edu/Course/75/Assignments)
- [Labs](http://ocw.tufts.edu/Course/75/Labs)
@ -343,7 +343,7 @@ management, storage management, files, distributed systems, and case studies.
- [IGME 582](http://hfoss-fossrit.rhcloud.com) **Humanitarian Free & Open Source Software Development** *Rochester Institute of Technology* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- This course provides students with exposure to the design, creation and production of Open Source Software projects. Students will be introduced to the historic intersections of technology and intellectual property rights and will become familiar with Open Source development processes, tools and practices.
- [I485 / H400](http://www.informatics.indiana.edu/rocha/i-bic/) **Biologically Inspired Computation** *Indiana University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- Course taught by [Luis Rocha](http://www.informatics.indiana.edu/rocha/lr_form.html) about the multi-disciplinary field algorithms insired by naturally occurring phenomenon. This course provides introduces the following areas: L-systems, Cellular Automata, Emergence, Genetic Algorithms, Swarm Intelligence and Artificial Immune Systems. It's aim is to cover the fundamentals and enable readers to build up a proficiency in applying various algorithms to real-world problems.
- Course taught by [Luis Rocha](http://www.informatics.indiana.edu/rocha/lr_form.html) about the multi-disciplinary field algorithms inspired by naturally occurring phenomenon. This course provides introduces the following areas: L-systems, Cellular Automata, Emergence, Genetic Algorithms, Swarm Intelligence and Artificial Immune Systems. It's aim is to cover the fundamentals and enable readers to build up a proficiency in applying various algorithms to real-world problems.
- [Lectures](http://www.informatics.indiana.edu/rocha/i-bic/#materials)
- [Assignments](http://www.informatics.indiana.edu/rocha/i-bic/#labs)
- [11-785](http://deeplearning.cs.cmu.edu/) **Deep Learning** *Carnegie Mellon University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
@ -357,4 +357,4 @@ management, storage management, files, distributed systems, and case studies.
### Contributing
Have a few courses in mind that you think are awesome and would fit in this list? Feel free to send a [pull request](https://github.com/prakhar1989/awesome-courses/pulls). However, do note that I'm not keen on adding popular courses (such as MOOCs / MIT OCW) as there are services like [ClassCentral](https://www.class-central.com/) doing a great job of aggregation. This list is ideally for courses which are relatively unknown and make their material (assignments, lectures, exams etc.) available online for free.
Have a few courses in mind that you think are awesome and would fit in this list? Feel free to send a [pull request](https://github.com/prakhar1989/awesome-courses/pulls). However, do note that I'm not keen on adding popular courses (such as MOOCs / MIT OCW) as there are services like [ClassCentral](https://www.class-central.com/) doing a great job of aggregation. This list is ideally for courses which are relatively unknown and make their material (assignments, lectures, exams etc.) available online for free.