Analysis of Algorithms : An Active Learning Approach

McConnell (Canisius College) developed this course to make students aware of the impact of algorithms on a program's efficiency and instruct them in the skills to analyze algorithms used in programs. Students learn the basics of analysis; searching, selecting, and sorting algorithms; and the elements of numeric, matching, graph, parallel, nondeterministic, greedy approximation, and probabilistic algorithms. Study suggestions and programming exercises are provided for students to apply what they learn. Annotation c. Book News, Inc., Portland, OR (booknews.com)