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CIS 400 Probability for Computer Scientists

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Minimum Grade for Prerequisites

Unless otherwise indicated, a grade of C or higher is required for all prerequisite courses.

Course Description

This foundational course covers probability theory's principles and applications in computer science. It starts with combinatorics, then delves into key probability concepts and distributions, alongside analytical tools. The final part focuses on applying probability in machine learning through real-world cases, fostering practical skills and deeper comprehension for future careers.

Units: 4
Degree Credit
Grade Option (Letter Grade or Pass/No Pass)
  • Lecture hours/semester: 48-54
  • Lab hours/semester: 48-54
  • Homework hours/semester: 96-108
Prerequisites: None
Corequisites: None
AA/AS Degree Requirements: Area C1; Area E2b
Transfer Credit: CSU , UC