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### Algorithms
- [6.INT](http://courses.csail.mit.edu/iap/interview/index.php) **Hacking a Google Interview** *MIT*
- [6.INT](http://courses.csail.mit.edu/iap/interview/index.php) **Hacking a Google Interview** *MIT* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
- This course taught in the MIT Independent Activities Period in 2009 goes over common solution to common interview questions for software engineer interviews at highly selective companies like Apple, Google, and Facebook. They cover time complexity, hash tables, binary search trees, and other common algorithm topics you should have already covered in a different course, but goes more in depth on things you wouldn't otherwise learn in class- like bitwise logic and problem solving tricks.
- [Handouts](http://courses.csail.mit.edu/iap/interview/materials.php)
- [Topics Covered](http://courses.csail.mit.edu/iap/interview/calendar.php)
- [CSE-373](http://www3.cs.stonybrook.edu/~skiena/373/) **Analysis of Algorithms** *Stony Brook University*
- [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/)
- [15-451/651](http://www.cs.cmu.edu/afs/cs/academic/class/15451-f10/www/) **Algorithms** *Carnegie Mellon University*
- The required algorithms class that go in depth into all basic algorithms and the proofs behind them. This is one of the heavier algorithms curriculums on this page. Taught by Avrim Blum and Manuel Blum who has a Turing Award due to his contributions to algorithms. Course link includes a very comprehensive set of reference notes by Avrim Blum.
- [COS226](http://www.cs.princeton.edu/courses/archive/fall14/cos226/info.php) **Data Structures and Algorithms** *Princeton University*
- The [popular](https://www.coursera.org/course/algs4partI) algorithms class covering most important algorithms and data structures in use on computers taught by Robert Sedgewick.
- [Assignments](http://www.cs.princeton.edu/courses/archive/fall14/cos226/assignments.php)
- [CS61B](http://www.cs.berkeley.edu/~jrs/61b/) **Data Structures** *Berkeley*
- [15-451/651](http://www.cs.cmu.edu/afs/cs/academic/class/15451-f10/www/) **Algorithms** *Carnegie Mellon University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
- The required algorithms class that go in depth into all basic algorithms and the proofs behind them. This is one of the heavier algorithms curriculums on this page. Taught by Avrim Blum and [Manuel Blum](http://en.wikipedia.org/wiki/Manuel_Blum) who has a Turing Award due to his contributions to algorithms. Course link includes a very comprehensive set of reference notes by Avrim Blum.
- [CS61B](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)
- [Lecture Videos on Youtube](http://www.youtube.com/watch?v=frxF7Vs96YU&list=PLMM0a7ZGnITrgfhOxMNP7bpP4hhhKNY9s)
- [CSCI 135](http://compsci.hunter.cuny.edu/~sweiss/courses/csci135.php) **Software Design and Analysis I**
- [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**
- - [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**
- [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)
- [CS 473/573](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/) **Fundamental Algorithms** *Univ of Illinois, Urbana-Champaign*
- [CS 473/573](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/) **Fundamental Algorithms** *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" />
- Algorithms class covering recursion, randomization, amortization, graph algorithms, network flows and hardness. The lecture notes by Prof. Erikson are comprehensive enough to be a book by themselves. Highly recommended!
- [Lecture Notes](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/all-algorithms.pdf)
- [Labs and Exams](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/all-hwex.pdf)
- [6.854/18.415J](http://courses.csail.mit.edu/6.854/current/) **Advanced Algorithms** *MIT*
- [6.854/18.415J](http://courses.csail.mit.edu/6.854/current/) **Advanced Algorithms** *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" />
- Advanced course in algorithms by Dr. David Karger covering topics such as amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear programming, fixed-parameter algorithms, and approximation algorithms.
- **Register** on [NB](http://nb.mit.edu/subscribe?key=D3a8CYpoO2VcR1ZcfaxmR5KbyjCGXd3INNXvL3mxEakYJ7qGJw) to access the [problem set and lectures](http://nb.mit.edu/).
- [6.851](http://courses.csail.mit.edu/6.851/spring14/index.html) **Advanced Data Structures** *MIT*
- [6.851](http://courses.csail.mit.edu/6.851/spring14/index.html) **Advanced Data Structures** *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" />
- This is an advanced DS course, you must be done with the [Advanced Algorithms](http://courses.csail.mit.edu/6.854/current/) course before attempting this one.
- [Lectures](http://courses.csail.mit.edu/6.851/spring14/lectures/) Contains videos from sp2012 version, but there isn't much difference.
- [Assignments](http://courses.csail.mit.edu/6.851/spring14/hmwk.html) contains the calendar as well.
- [CS 2150](https://github.com/aaronbloomfield/pdr) **Program & Data Representation** *University of Virginia*
- [CS 2150](https://github.com/aaronbloomfield/pdr) **Program & Data Representation** *University of Virginia* <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 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/)
- [ECS 122A](http://web.cs.ucdavis.edu/~gusfield/cs122f10/) **Algorithm Design and Analysis** *UC Davis*
- [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)
- [Lecture Videos](http://web.cs.ucdavis.edu/~gusfield/cs122f10/videolist.html)
- [Assignments](http://web.cs.ucdavis.edu/~gusfield/cs122f10/)
- [ECS 222A](http://web.cs.ucdavis.edu/~gusfield/cs222w11/) **Graduate Level Algorithm Design and Analysis** *UC Davis*
- [ECS 222A](http://web.cs.ucdavis.edu/~gusfield/cs222w11/) **Graduate Level 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" />
- This is the graduate level complement to the ECS 122A undergraduate algorithms course by [Dan Gusfield](http://web.cs.ucdavis.edu/~gusfield/) in 2011. It assumes an undergrad course has already been taken in algorithms, and, while going over some undergraduate algorithms topics, focuses more on increasingly complex and advanced algorithms.
- [Lecture Videos](http://web.cs.ucdavis.edu/~gusfield/cs222f07/videolist.html)
- [Syllabus](http://web.cs.ucdavis.edu/~gusfield/cs222w11/syll11.pdf)