Course Description

Probability and Statistics for Engineers, CSE 107

Introduction to fundamental tools of stochastic analysis. Probability, conditional probability; Bayes Theorem; random variables and transforms; independence; Bernnoulli trials. Statistics, inference from limited data; outcomes of repeated experiments; applications to design; assessment of relative frequency and probability; law of large numbers; precision of measurements. Elements of stochastic processes, Poisson processes; Markov chains. Students cannot receive credit for this course and STAT 131. (Formerly CMPE 107.)

Key Information

Credit: 5 quarter units / 3.33 semester units credit
UC Santa Cruz, Computer Science & Engineering

Course Credit:

Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.
If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.

UC Berkeley:

UC Davis:

UC Irvine:

UC Los Angeles:

UC Merced:

UC Riverside:

UC San Diego:
General Education: Revelle - 1 course toward Math; Warren - Transfer students may count as upper-division GE depending on major; Sixth - 1 Exploring Data; TMC 1 course toward upper division disciplinary breadth if noncontiguous to major
Major Requirement: Computer Science and Engineering (CSE): Approved for CSE 103 credit at UCSD; The Cognitive Science department at UC San Diego has approved CMPE 107 from UC Santa Cruz to count as an upper-division elective towards the Machine Learning & Neural Computation Specialization
Course Equivalence: UCSD CSE 103

UC San Francisco:

UC Santa Barbara:
Course Equivalence: PSTAT 120A at UCSB

UC Santa Cruz:


Prerequisite(s): CSE 16; and AM 30 or MATH 22 or MATH 23A.

Course Creator

Jose Garcia-Luna-Aceves
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