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updated Prolog link 

- removed CUDA and GPU programming from topics
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spamegg 2020-11-22 16:37:48 +03:00
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@ -342,8 +342,6 @@ If not, or if a student chooses not to take the Capstone, then a separate Final
**Topics covered**:
`debugging theory and practice`
`goal-oriented programming`
`GPU programming`
`CUDA`
`parallel computing`
`object-oriented analysis and design`
`UML`
@ -355,7 +353,7 @@ Courses | Duration | Effort | Prerequisites
[Parallel Programming](https://www.coursera.org/learn/parprog1)| 4 weeks | 6-8 hours/week | Scala programming
[Compilers](https://www.edx.org/course/compilers) | 9 weeks | 6-8 hours/week | none
[Introduction to Haskell](https://www.seas.upenn.edu/~cis194/fall16/)| 14 weeks | - | -
[Learn Prolog Now!](http://lpn.swi-prolog.org/lpnpage.php?pageid=top)| 12 weeks | - | -
[Learn Prolog Now!](http://www.learnprolognow.org/lpnpage.php?pageid=online)| 12 weeks | - | -
[Software Debugging](https://www.udacity.com/course/software-debugging--cs259)| 8 weeks | 6 hours/week | Python, object-oriented programming
[Software Testing](https://www.udacity.com/course/software-testing--cs258) | 4 weeks | 6 hours/week | Python, programming experience
[Software Architecture & Design](https://www.udacity.com/course/software-architecture-design--ud821)| 8 weeks | 6 hours/week | software engineering in Java