MATH 23
Engineering Statistics
Course Description
This course provides a comprehensive introduction to probabilistic and statistical modeling for students in engineering, economics, finance and related disciplines in the mathematical sciences. It exposes students to a variety of applications requiring decision making in the face of uncertainty. Topics covered include the collection and analysis of information, making use of graphical and numerical techniques, discrete, continuous, cumulative, and joint probability distribution functions and use of statistical inference, experimental design, and equation fitting, when appropriate. Many of the applications require the use of technology (computers and graphic calculators). Computer simulations are used to illustrate difficult topics and provide visualization of advanced theoretical results (e.g. the Central Limit Theorem).
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 39140 | MATH 23 | 40 | ·T·R··· | 04:00 PM-06:15 PM | Fatemeh Yarahmadi | MLC270 |
Class Dates: This class runs from 2027-01-04 to 2027-03-26.
Footnote:
MATH 23.40: Fully ON-CAMPUS. This class meets on-campus each week on scheduled days and times as noted in the class listing.
Class Materials
View textbook and/or other materials available at the Bookstore.
Course Details
- Units
- 5 Units
- Hours
- Weekly Lecture Hours: 5
- Weekly Lab Hours: 0
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Grading Method
- Letter Grading
Requisite and Advisory
- Advisory
- ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.
- Prerequisite
- MATH D001C or MATH D01CH (with a grade of C or better)