STATS 67 Introduction to Probability and Statistics for Computer Science (2016-2017)

STATS 67 Introduction to Probability and Statistics for Computer Science

(Required for CSE.)
Catalog Data:

STATS 67 Introduction to Probability and Statistics for Computer Science (Credit Units: 4) Introductory course focusing on basic concepts in probability and statistics with discussion of applications to computer science. Prerequisite: MATH 2B . STATS 7 and MGMT 7 may not be taken for credit if taken after STATS 67. Only one course from STATS 7, MGMT 7, and STATS 67. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0534399429.

Recommended Textbook:
None
References:
None
Coordinator:
Michael J Phelan and Yaming Yu
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:

1. Have knowledge of basic probability distributions

2. Perform hypothesis testing

3. Performance estimation of parameters

Prerequisites by Topic

Calculus - differentiation & integration

Lecture Topics:
  • Probability-simple and conditional probabilitities; counting; discrete random variables; continuous random variables; joint probability distributions
  • Statistical interference-sampling and sampling distributions; estimation with confidencce intervals; tests of hypotheses; simple linear regression
Class Schedule:

Meets for 3 hours of lecture and 2 hours of discussion each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component

Contributes toward Mathematics and Basic Science.

Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
  • Homework: 20%
  • Midterms: 40% (20% each)
  • Final: 40%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 4.0 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:
July 12, 2016
Senate Approved:
June 17, 2013
Approved Effective:
2013 Winter Qtr