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. Students will explore a variety of applications that require decision-making in the presence of uncertainty. Topics covered include the collection and analysis of data using graphical and numerical techniques, discrete and continuous probability distributions, cumulative and joint probability distribution functions, and statistical inference. The course also introduces experimental design and equation fitting when appropriate. Many applications require the use of technology, including computers and graphing calculators. Computer simulations will be utilized to illustrate complex topics and to provide visualization of advanced theoretical concepts, such as 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
| Textbook/Material | Type | Required | Purchase | Rent | ||
|---|---|---|---|---|---|---|
| New | Used | New | Used | |||
| Probability and Statistics for Engineering and the Sciences (9th Edition) Devore ISBN: 9781305465329 | E-Book | Required | $111.99 | |||
| Probability and Statistics for Engineering and the Sciences (9th Edition) Devore ISBN: 9781305465329 | E-Book (180 days) | Required | $63.99 | |||
| Probability and Statistics for Engineering and the Sciences (9th Edition) Devore ISBN: 9781305465329 | E-Book (365 days) | Required | $88.49 | |||
Lower prices may be available for textbooks or materials in certain courses, when purchased through the course site on Canvas. Your instructor will tell you if a lower price is available.
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
- Pass/Fail Grading
Requisite and Advisory
- Prerequisite
- MATH D001B or MATH D01BH (with a grade of C or better)
- Advisory
- ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.