Teachings

"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

  • 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)

Undergraduate Courses for BS in Computer Science (BSCS)

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

Download: BSCS Curriculum

  • CS 30 - Discrete Mathematics for Computer Science I

  • CS 31 - Discrete Mathematics for Computer Science II

  • CS 32 - Data Structures and Algorithms I

  • CS 33 - Data Structures and Algorithms II

  • CS 130 - Mathematical Methods in Computer Science

  • CS 133 - Automata Theory and Computability

  • CS 135 - Algorithm Design and Analysis

  • CS 165 - Database Systems

  • CS 198 - Special Problems I

  • CS 199 - Special Problems II