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@ -30,15 +30,6 @@ Courses
### Systems
- [CSCI 360](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci360/csci360_f14.php) **Computer Architecture 3** *CUNY Hunter College* <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" />
- A course that covers cache design, buses, memory hierarchies, processor-peripheral interfaces, and multiprocessors, including GPUs.
- [CSCI 493.66](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci493.66/csci493.66_spr12.php) **UNIX System Programming (formerly UNIX Tools)** *CUNY Hunter College* <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" />
- A course that is mostly about writing programs against the UNIX API, covering all of the basic parts of the kernel interface and libraries, including files, processes, terminal control, signals, and threading.
- [CSCI 493.75](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci493.65/csci493.65_spr14.php) **Parallel Computing** *CUNY Hunter College* <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 is an introduction to parallel algorithms and parallel programming in C and C++, using the Message Passing Interface (MPI) and the OpenMP application programming interface. It also includes a brief introduction to parallel architectures and interconnection networks. It is both theoretical and practical, including material on design methodology, performance analysis, and mathematical concepts, as well as details on programming using MPI and OpenMP.
- [CS 107](http://web.stanford.edu/class/cs107/index.html) **Computer Organization & Systems** *Stanford University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" />
<img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" />
- CS107 is the third course in Stanford's introductory programming sequence. The course will work from the C programming language down to the microprocessor to de-mystify the machine. With a complete understanding of how computer systems execute programs and manipulate data, you will become a more effective programmer, especially in dealing with issues of debugging, performance, portability, and robustness.
@ -69,6 +60,15 @@ Courses
<img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
- Taught by one of the stalwarts of this field, Prof Ken Birman, this course has a fantastic set of slides that one can go through. The Prof's [book](http://www.amazon.com/Guide-Reliable-Distributed-Systems-High-Assurance/dp/1447124154) is also a gem and recommended as a must read in Google's tutorial on [Distributed System Design](http://www.hpcs.cs.tsukuba.ac.jp/~tatebe/lecture/h23/dsys/dsd-tutorial.html)
- [Slides](http://www.cs.cornell.edu/Courses/CS5412/2014sp/Syllabus.htm)
- [CSCI 360](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci360/csci360_f14.php) **Computer Architecture 3** *CUNY Hunter College* <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" />
- A course that covers cache design, buses, memory hierarchies, processor-peripheral interfaces, and multiprocessors, including GPUs.
- [CSCI 493.66](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci493.66/csci493.66_spr12.php) **UNIX System Programming (formerly UNIX Tools)** *CUNY Hunter College* <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" />
- A course that is mostly about writing programs against the UNIX API, covering all of the basic parts of the kernel interface and libraries, including files, processes, terminal control, signals, and threading.
- [CSCI 493.75](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci493.65/csci493.65_spr14.php) **Parallel Computing** *CUNY Hunter College* <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 is an introduction to parallel algorithms and parallel programming in C and C++, using the Message Passing Interface (MPI) and the OpenMP application programming interface. It also includes a brief introduction to parallel architectures and interconnection networks. It is both theoretical and practical, including material on design methodology, performance analysis, and mathematical concepts, as well as details on programming using MPI and OpenMP.
- [ECE 459](http://patricklam.ca/p4p/) **Programming for Performance** *University of Waterloo* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
<img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" />
- Learn techniques for profiling, rearchitecting, and implementing software systems that can handle industrial-sized inputs, and to design and build critical software infrastructure. Learn performance optimization through parallelization, multithreading, async I/O, vectorization and GPU programming, and distributed computing.
@ -114,10 +114,6 @@ Courses
- Covers functional programming concepts like closures, tail-call recursion & parallelism using the OCaml programming language
- [Lectures](http://www.cs.princeton.edu/~dpw/courses/cos326-12/lectures.php)
- [Assignments](http://www.cs.princeton.edu/~dpw/courses/cos326-12/assignments.php)
- [CSE341](http://courses.cs.washington.edu/courses/cse341/14sp/) **Programming Languages** *University of Washington* <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" />
- Covers non-imperative paradigms and languages such as Ruby, Racket, and ML and the fundamentals of programming languages.
- [Lectures](https://courses.cs.washington.edu/courses/cse341/14sp/#lecture)
- [Assignments and Tests](https://courses.cs.washington.edu/courses/cse341/14sp/#homework)
- [CS 164](https://sites.google.com/a/bodik.org/cs164/home) **Hack your language!** *UC Berkeley* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <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" />
- Introduction to programming languages by designing and implementing domain-specific languages.
- [Lecture Videos](https://www.youtube.com/playlist?list=PL421867F00A53B833)
@ -148,26 +144,15 @@ Courses
- If you're a fan of Prof Matt's writing on his [fantastic blog](http://matt.might.net/articles/) you ought to give this a shot. The course covers the design and implementation of compilers, and it explores related topics such as interpreters, virtual machines and runtime systems. Aside from the Prof's witty take on [cheating](http://matt.might.net/teaching/compilers/spring-2015/#collaboration) the page has tons of interesting links on programming languages, parsing and compilers.
- [Lecture Notes](https://www.dropbox.com/sh/zanwtoflw4pcfu8/5pdT6axS3y)
- [Projects](http://matt.might.net/teaching/compilers/spring-2015/#projects)
- [CSE 341](http://courses.cs.washington.edu/courses/cse341/14sp/) **Programming Languages** *University of Washington* <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" />
- Covers non-imperative paradigms and languages such as Ruby, Racket, and ML and the fundamentals of programming languages.
- [Lectures](https://courses.cs.washington.edu/courses/cse341/14sp/#lecture)
- [Assignments and Tests](https://courses.cs.washington.edu/courses/cse341/14sp/#homework)
-------
### Algorithms
- [CSCI 135](http://compsci.hunter.cuny.edu/~sweiss/courses/csci135.php) **Software Design and Analysis I** <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" />
*CUNY Hunter College*
- It is currently an intensive introduction to program development and problem solving. Its emphasis is on the process of designing, implementing, and evaluating small-scale programs. It is not supposed to be a C++ programming course, although much of the course is spent on the details of C++. C++ is an extremely large and complex programming language with many features that interact in unexpected ways. One does not need to know even half of the language to use it well.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci135/csci135_36_fall12.php)
- [CSCI 235](http://compsci.hunter.cuny.edu/~sweiss/courses/csci235.php) **Software Design and Analysis II** <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" />
*CUNY Hunter College*
- Introduces algorithms for a few common problems such as sorting. Practically speaking, it furthers the students' programming skills with topics such as recursion, pointers, and exception handling, and provides a chance to improve software engineering skills and to give the students practical experience for more productive programming.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci235/csci235_f14.php)
- [CSCI 335](http://compsci.hunter.cuny.edu/~sweiss/courses/csci335.php) **Software Design and Analysis III** <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" />
*CUNY Hunter College*
- This includes the introduction of hashes, heaps, various forms of trees, and graphs. It also revisits recursion and the sorting problem from a higher perspective than was presented in the prequels. On top of this, it is intended to introduce methods of algorithmic analysis.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci335/csci335_s14.php)
- [CSE-373](http://www3.cs.stonybrook.edu/~skiena/373/) **Analysis of Algorithms** *Stony Brook University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
- Prof Steven Skiena's no stranger to any student when it comes to algorithms. His seminal [book](http://www.algorist.com/) has been touted by many to be best for [getting that job in Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html). In addition, he's also well-known for tutoring students in competitive [programming competitions](http://www.programming-challenges.com/pg.php?page=index). If you're looking to brush up your knowledge on Algorithms, you can't go wrong with this course.
- [Lecture Videos](http://www.cs.sunysb.edu/~algorith/video-lectures/)
- [CS 61B](http://www.cs.berkeley.edu/~jrs/61b/) **Data Structures** *Berkeley* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" />
- In this course, you will study advanced programming techniques including data structures, encapsulation, abstract data types, interfaces, and algorithms for sorting and searching, and you will get a taste of “software engineering”—the design and implementation of large programs.
- [Labs](http://www.cs.berkeley.edu/~jrs/61b/lab/index.html)
@ -180,6 +165,21 @@ Courses
- This data structures course introduces C++, linked-lists, stacks, queues, trees, numerical representation, hash tables, priority queues, heaps, huffman coding, graphs, and x86 assembly.
- [Lectures](http://aaronbloomfield.github.io/pdr/slides/)
- [Assignments](http://aaronbloomfield.github.io/pdr/labs/)
- [CSCI 135](http://compsci.hunter.cuny.edu/~sweiss/courses/csci135.php) **Software Design and Analysis I** <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" />
*CUNY Hunter College*
- It is currently an intensive introduction to program development and problem solving. Its emphasis is on the process of designing, implementing, and evaluating small-scale programs. It is not supposed to be a C++ programming course, although much of the course is spent on the details of C++. C++ is an extremely large and complex programming language with many features that interact in unexpected ways. One does not need to know even half of the language to use it well.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci135/csci135_36_fall12.php)
- [CSCI 235](http://compsci.hunter.cuny.edu/~sweiss/courses/csci235.php) **Software Design and Analysis II** <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" />
*CUNY Hunter College*
- Introduces algorithms for a few common problems such as sorting. Practically speaking, it furthers the students' programming skills with topics such as recursion, pointers, and exception handling, and provides a chance to improve software engineering skills and to give the students practical experience for more productive programming.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci235/csci235_f14.php)
- [CSCI 335](http://compsci.hunter.cuny.edu/~sweiss/courses/csci335.php) **Software Design and Analysis III** <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" />
*CUNY Hunter College*
- This includes the introduction of hashes, heaps, various forms of trees, and graphs. It also revisits recursion and the sorting problem from a higher perspective than was presented in the prequels. On top of this, it is intended to introduce methods of algorithmic analysis.
- [Lectures and Assignments](http://compsci.hunter.cuny.edu/~sweiss/course_materials/csci335/csci335_s14.php)
- [CSE 373](http://www3.cs.stonybrook.edu/~skiena/373/) **Analysis of Algorithms** *Stony Brook University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
- Prof Steven Skiena's no stranger to any student when it comes to algorithms. His seminal [book](http://www.algorist.com/) has been touted by many to be best for [getting that job in Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html). In addition, he's also well-known for tutoring students in competitive [programming competitions](http://www.programming-challenges.com/pg.php?page=index). If you're looking to brush up your knowledge on Algorithms, you can't go wrong with this course.
- [Lecture Videos](http://www.cs.sunysb.edu/~algorith/video-lectures/)
- [ECS 122A](http://web.cs.ucdavis.edu/~gusfield/cs122f10/) **Algorithm Design and Analysis** *UC Davis* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <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" />
- Taught by [Dan Gusfield](http://web.cs.ucdavis.edu/~gusfield/) in 2010, this course is an undergraduate introduction to algorithm design and analysis. It features traditional topics, such as Big Oh notation, as well as an importance on implementing specific algorithms. Also featured are sorting (in linear time), graph algorithms, depth-first search, string matching, dynamic programming, NP-completeness, approximation, and randomization.
- [Syllabus](http://web.cs.ucdavis.edu/~gusfield/cs122f10/syll122.pdf)
@ -316,7 +316,7 @@ Courses
- [Readings](http://philipmjohnson.github.io/ics314f13/readings/)
- [Experiences](http://philipmjohnson.github.io/ics314f13/experiences/)
- [Assessments](http://philipmjohnson.github.io/ics314f13/assessments/)
- [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" />
- [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.