EECS 55 Engineering Probability (2012-2013)

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. Formerly EECS140. Prerequisite: Mathematics 2D. (Design units: 0)

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

Recommended Textbook:
None
References:
None
Coordinator:
Relationship to Student Outcomes
This course relates to Student Outcomes: EAC a, EAC b.
Course Learning Outcomes. Students will:

1. Calculate the probability of different events. (EAC a, EAC b)

2. Define random variables and work with some useful examples. (EAC a, EAC b)

3. Calculate expectation and other properties of random variables. (EAC a, EAC b)

4. Summarize data using simple statistics. (EAC a, EAC b)

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:
January 23, 2013
Senate Approved:
January 10, 2012
Approved Effective:
2012 Fall Qtr