The nature of Computer Science as a discipline; the design and analysis of algorithms and their implementation as modular, reliable, well-documented programs written in a modern programming language. Intended for students with significant programming experience in at least one high-level block-structured or object-oriented language.

Essential information processing and coding skills for students. Includes core concepts of algorithms and data structures; creating programs and scripts to address problems that arise in applied research; examples of data sets and analyses drawn from a variety of disciplines. No previous programming background assumed.

Programming for Data Science is intended for students with little or no background in programming. Design and analysis of algorithms and their implementation as modular, reliable, well-documented programs written in a modern programming language.

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.

Designing, implementing and testing computer programs using Java and MATLAB to fulfill given specifications for small problems using sound engineering principles and processes. Awareness of the engineering aspects of the process of constructing a computer program.

The nature of Computer Science as a discipline; the design and analysis of algorithms and their implementation as modular, reliable, well-documented programs written in  a modern programming language. Intended for students with little or no background in programming.

COMPSCI 1026A/B

COMPUTER SCIENCE FUNDAMENTALS I

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