EECS 55 Engineering Probability (2017-2018)

EECS 55 Engineering Probability

(Required for CpE and EE.)
Catalog Data:

EECS 55 Engineering Probability (Credit Units: 4) Sets and set operations; nature of probability, sample spaces, fields of events, probability measures; conditional probability, independence, random variables, distribution functions, density functions, conditional distributions and densities; moments, characteristic functions, random sequences, independent and Markov sequences. Prerequisite: Mathematics 2D. Computer Engineering and Electrical Engineering majors have first consideration for enrollment . (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0136033134.

Recommended Textbook:
None
References:
None
Coordinator:
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:

1. Calculate the probability of different events.

2. Define random variables and work with some useful examples.

3. Calculate expectation and other properties of random variables.

4. Summarize data using simple statistics.

Prerequisites by Topic
Lecture Topics:

Engineering Probability

Class Schedule:

Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
February 22, 2017
Senate Approved:
April 29, 2013
Approved Effective:
2013 Fall Qtr