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ISE 201


Software Engineering Analysis

Description
Mathematical concepts, techniques relevant to software engineering, motivation by real world examples. Discrete mathematics including: Algorithms, efficiency, mathematical induction. Probability, statistics including set theory, combinatorics, random variables, distributions, estimation, confidence interval, hypothesis testing, regression. Prerequisite: MSE or CMPE graduate standing.

Grading
Normal Grade Rules

Units
3

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