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### CS Theory
- [CIS 500](http://www.seas.upenn.edu/~cis500/cis500-f14/index.html) **Software Foundations** *University of Pennsylvania*
- [CIS 500](http://www.seas.upenn.edu/~cis500/cis500-f14/index.html) **Software Foundations** *University of Pennsylvania* <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" />
- An introduction to formal verification of software using the Coq proof assistant. Topics include basic concepts of logic, computer-assisted theorem proving, functional programming, operational semantics, Hoare logic, and static type systems.
* [Lectures and Assignments](http://www.seas.upenn.edu/~cis500/cis500-f14/index.html#schedule)
- [Textbook](http://www.cis.upenn.edu/~bcpierce/sf/current/index.html)
- [CS276](http://www.cs.berkeley.edu/~sanjamg/classes/cs276-fall14/) **Foundations of Cryptography** *UC Berkeley*
- [CS276](http://www.cs.berkeley.edu/~sanjamg/classes/cs276-fall14/) **Foundations of Cryptography** *UC Berkeley* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- This course discusses the complexity-theory foundations of modern cryptography, and looks at recent results in the field such as Fully Homomorphic Encryption, Indistinguishability Obfuscation, MPC and so on.
- [CS278](http://www.cs.berkeley.edu/~luca/cs278-08/) **Complexity Theory** *UC Berkeley*
- [CS278](http://www.cs.berkeley.edu/~luca/cs278-08/) **Complexity Theory** *UC Berkeley* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- An graduate level course on complexity theory that introduces P vs NP, the power of randomness, average-case complexity, hardness of approximation, and so on.
- [CS103](http://web.stanford.edu/class/cs103/) **Mathematical Foundations of Computing** *Stanford University*
- [CS103](http://web.stanford.edu/class/cs103/) **Mathematical Foundations of Computing** *Stanford 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" />
- CS103 is a first course in discrete math, computability theory, and complexity theory. In this course, we'll probe the limits of computer power, explore why some problems are harder to solve than others, and see how to reason with mathematical certainty.
- Links to all lectures notes and assignments are directly on the course page
- [CS 173](https://courses.engr.illinois.edu/cs173/fa2014/A-lecture/index.html) **Discrete Structures** *Univ of Illinois Urbana-Champaign*
- [CS 173](https://courses.engr.illinois.edu/cs173/fa2014/A-lecture/index.html) **Discrete Structures** *Univ of Illinois Urbana-Champaign* <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" />
- This course is an introduction to the theoretical side of computer science. In it, you will learn how to construct proofs, read and write literate formal mathematics, get a quick introduction to key theory topics and become familiar with a range of standard mathematics concepts commonly used in computer science.
- [Textbook](http://web.engr.illinois.edu/~mfleck/building-blocks/) Written by the professor. Includes Instructor's Guide.
- [Assignments](https://courses.engr.illinois.edu/cs173/fa2014/A-lecture/Homework/index.html)
- [Exams](https://courses.engr.illinois.edu/cs173/fa2014/A-lecture/Exams/index.html)
- [CS 374](https://courses.engr.illinois.edu/cs498374/fa2014/) **Algorithms & Models of Computation (Fall 2014)** *University of Illinois Urbana-Champaign*
- [CS 374](https://courses.engr.illinois.edu/cs498374/fa2014/) **Algorithms & Models of Computation (Fall 2014)** *University of Illinois Urbana-Champaign* <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" />
- CS 498 section 374 (unofficially "CS 374") covers fundamental tools and techniques from theoretical computer science, including design and analysis of algorithms, formal languages and automata, computability, and complexity. Specific topics include regular and context-free languages, finite-state automata, recursive algorithms (including divide and conquer, backtracking, dynamic programming, and greedy algorithms), fundamental graph algorithms (including depth- and breadth-first search, topological sorting, minimum spanning trees, and shortest paths), undecidability, and NP-completeness. The course also has a strong focus on clear technical communication.
- [Assignments/Exams](https://courses.engr.illinois.edu/cs498374/fa2014/work.html)
- [Lecture Notes/Labs](https://courses.engr.illinois.edu/cs498374/fa2014/lectures.html)
@ -220,31 +220,31 @@ Courses
### Introduction to CS
- [CS 10](https://inst.eecs.berkeley.edu/~cs10/fa14/) **The Beauty and Joy of Computing** *UC Berkeley*
- [CS 10](https://inst.eecs.berkeley.edu/~cs10/fa14/) **The Beauty and Joy of Computing** *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" />
- CS10 is UCB's introductory computer science class, taught using the beginners' drag-and-drop language. Students learn about history, social implications, great principles, and future of computing. They also learn the joy of programming a computer using a friendly, graphical language, and will complete a substantial team programming project related to their interests.
- [Snap*!*](http://snap.berkeley.edu) (based on Scratch by MIT).
- [Curriculum](http://bjc.berkeley.edu)
- [CS 50](https://cs50.harvard.edu/) **Introduction to Computer Science** *Harvard University*
- [CS 50](https://cs50.harvard.edu/) **Introduction to Computer Science** *Harvard 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" />
- CS50x is Harvard College's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan.
- [Lectures](https://cs50.harvard.edu/lectures)
- [CS 101](http://online.stanford.edu/course/computer-science-101-self-paced) **Computer Science 101** *Stanford University*
- [CS 101](http://online.stanford.edu/course/computer-science-101-self-paced) **Computer Science 101** *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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. Participants play and experiment with short bits of "computer code" to bring to life to the power and limitations of computers.
- Lectures videos will available for free after registration.
- [CS 106A](http://see.stanford.edu/see/courseinfo.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111) **Programming Methodology** *Stanford University*
- [CS 106A](http://see.stanford.edu/see/courseinfo.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111) **Programming Methodology** *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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- This course is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Programming Methodology teaches the widely-used Java programming language along with good software engineering principles.
- [Lecture Videos](http://see.stanford.edu/see/lecturelist.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111)
- [Assignments](http://see.stanford.edu/see/materials/icspmcs106a/assignments.aspx)
- [All materials in a zip file](http://see.stanford.edu/materials/icspmcs106a/ProgrammingMethodologyAllMaterials.zip)
- [CS 106B](http://see.stanford.edu/see/courseinfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e) **Programming Abstractions** *Stanford University*
- [CS 106B](http://see.stanford.edu/see/courseinfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e) **Programming Abstractions** *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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java.
- [Lectures](http://see.stanford.edu/see/lecturelist.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e)
- [Assignments](http://see.stanford.edu/see/materials/icspacs106b/assignments.aspx)
- [All materials in a zip file](http://see.stanford.edu/materials/icspacs106b/ProgrammingAbstractionsAllMaterials.zip)
- [CS107](http://see.stanford.edu/see/courseinfo.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee) **Programming Paradigms** *Stanford University*
- [CS107](http://see.stanford.edu/see/courseinfo.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee) **Programming Paradigms** *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" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- Topics: Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms. The functional paradigm (using LISP) and concurrent programming (using C and C++)
- [Lectures](http://see.stanford.edu/see/lecturelist.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee)
- [Assignments](http://see.stanford.edu/see/materials/icsppcs107/assignments.aspx)
- [6.001](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/index.htm) **Structure and Interpretation of Computer Programs** *MIT*
- [6.001](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/index.htm) **Structure and Interpretation of Computer Programs** *MIT* <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" />
- Teaches big-picture computing concepts using the Scheme programming language. Students will implement programs in a variety of different programming paradigms (functional, object-oriented, logical). Heavy emphasis on function composition, code-as-data, control abstraction with continuations, and syntactic abstraction through macros. An excellent course if you are looking to build a mental framework on which to hang your programming knowledge.
- [Lectures](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video-lectures)
- [Textbook](http://mitpress.mit.edu/sicp/full-text/book/book.html) ([epub](https://github.com/sarabander/sicp), [pdf](https://github.com/sarabander/sicp-pdf))