An overview of core data structures and algorithms in computing, with a focus on applications to informatics and analytics in a variety of disciplines. Includes lists, stacks, queues, trees, graphs, and their associated algorithms; sorting, searching, and hashing techniques. Suitable for non-Computer Science students.

with a mark of at least 60% and registration in Medical Sciences First Entry, or

Lists, stacks, queues, priority queues, trees, graphs, and their associated algorithms; file structures; sorting, searching, and hashing techniques; time and space complexity.

in each case with at least 65%, and 1.0 course with at least 60% in each from:

the former Applied Mathematics 1411A/B, the former Applied Mathematics 1412A/B, the former Applied Mathematics 1414A/B, the former Applied Mathematics 1413; or 2)

Survey of important computer algorithms and related data structures used in object-oriented software engineering. Design, performance analysis and implementation of such algorithms, stressing their practical use and performance certification of large software applications. Understand how to "seal" designs to guarantee performance goals and insure that all error conditions are caught.

Essential information processing skills for humanities students. Includes an introduction to programming; creating programs and scripts to address problems that arise in applied research; examples of data sets and projects drawn from different areas of the humanities and social science. No previous formal programming background required.

DIGIHUM 2221A/B

MODERN SURVIVAL SKILLS II: PROBLEM SOLVING THROUGH PROGRAMMING

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