Department of Mathematical and Digital Sciences
Bloomsburg University of Pennsylvania

Analysis of Algorithms and Data Structures
COMPSCI 355

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Fall 2016
Tu/Th 2:00-3:15 in Navy 209

Professor: Drue Coles
E-mail: dcoles@bloomu.edu
Phone: 570-389-4626
Office: 235 Ben Franklin Hall
Office Hours: 11:00-12:00 Mo-Th and 3:00-3:30 Mo/We

Text: Data Structures and Algorithms in C++, 2nd edition, Goodrich et al., John Wiley & Sons, 2011.

Prerequisite: COMPSCI-255 and MATH-185. In particular, students should be able to implement linear data structures such as stacks and queues in C++, and write code using the classes that implement these structures in the Standard Template Library. A basic understanding of recursion and proof by induction (from MATH-185) is also assumed.

Overview.   Data structures are organized containers of information designed for efficient access or updates. This course provides a comprehensive introduction to the design, analysis, and implementation of non-linear data structures and of algorithms that operate on them. The ideas of this course are language-independent but we will use C++ for implementation.

Outcomes.   Upon completion of the course you will be able to:

The Association for Computing Machinery (ACM) has identified 18 core areas of knowledge in computer science. The analysis of algorithms is one of these areas. The ACM recognizes that knowledge of fundamental data structures and algorithms, and the ability to reason about the efficiency of algorithms, are essential for both scientists and software developers.