Graduate Courses

"The thing I loved the most - and still love the most about teaching - is that you can connect with an individual or a group, and see that individual or group exceed their limits." - M. Krzyzewski

Graduate Courses for MS/PhD in Computer Science (MSCS/PhDCS)

The following courses are those that are regularly handled by the laboratory. Further details on the courses can also be found at the university course catalog.

Download: MSCS/PhDCS Curriculum

• • CS 204 - Theory of Computation

  • CS 208 - Complexity Theory

  • CS 210 - Advanced Algorithms and Data Structures

  • CS 214 - Parallel Algorithms

  • CS 290 - Advanced Topics in Theoretical Computer Science

    • Algorithmics for Hard Problems (2nd Sem, AY 2008-2009)

    • Grammar, communication, and languages (2nd Sem, AY 2009-2010)

    • Models of computation and complexity measures (2nd Sem, AY 2010-2011)

    • Unconventional computing (2nd Sem, AY 2011-2012)

  • CS 297 - Special Topics

    • Models for biological processes (1st Sem, AY 2007-2008)

    • Computer aided argumentation and non-monotonic reasoning (1st Sem, AY 2008-2009)

    • Data visualization (2nd Sem, AY 2008-2009)

    • Automata, grammar, and communication (1st Sem, AY 2009-2010)

    • Special topics in communication complexity (2nd Sem, AY 2009-2010)

    • Formal models and computability (2nd Sem, AY 2010-2011)

    • Communication complexity (2nd Sem, AY 2011-2012)

    • Natural computing and process calculi (2nd Sem, AY 2013-2014)

    • Formal models and computability (1st Sem, AY 2014-2015

  • CS 301 - Communication Complexity

  • CS 315 - Algorithms in Bioinformatics

  • CS 397 - Special Topics

    • Models of computations (1st Sem, AY 2011-2012)

    • Natural and unconventional computing models (1st Sem, AY 2012-2013)

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