Data Structures and Algorithms

Complexity of algorithms. Algorithm complexity measures. Algorithms for graphs and other common data structures. Types of algorithms: greedy algorithms, dynamic programming, division and achievement, etc.

Basic Information

Workload
60
Requirements
Programming languages

Mandatory: 

  • Kleinberg, J., & Éva Tardos. (2005). Algorithm Design. Addison Wesley;
  • Dasgupta, S., Papadimitriou, C. H., & Vazirani, U. V. (2008). Algorithms. McGraw-Hill;
  • Structure and Interpretation of Computer Programs. (1996). Structure and Interpretation of Computer Programs. MIT Press.

Complementary: 

  • Hetland, M. L .. (2002). Practical Python. Books for professionals by professionals The expert's voice in open source Apresspod Series Expert's Voice (648 p). Apress;
  • Celes, W. Cerqueira, R. Rangel, J. L .. (2004). Introduction to data structures: using C programming techniques (293 p). Campus;
  • Wirth, Niklaus .. (1999). Algorithms and data structures. (255 p). LTC;
  • Edmonds, Jeff. (2010) How to think about algorithms. (300 p). LTC;
  • Horowitz, Ellis. (1987) Fundamentals of data structures. (494 p). Campus.