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 Seats open | Tuesday, Thursday | 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
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 Grade
- Pass/No Pass
Requisite and Advisory
- Prerequisite
- MATH 1B or MATH 1BH (with a grade of C or better)
- Advisory
- ESL 272 and ESL 273, or ESL 472 and ESL 473, or eligibility for ENGL C1000 or ENGL C1000H or ESL 5