Probability and Statistics for Engineers (STAT*2120)
Code and section: STAT*2120*01
Term: Winter
Details
The topics covered in this course include: Sample spaces; probability, conditional probability and independence; Bayes' theorem; probability distributions; probability densities; algebra of expected values; descriptive statistics; inferences concerning means, variances, and proportions; curve fitting, the method of least squares and correlation. An introduction to quality control and reliability is provided. This course is recommended for students in the B.Sc.(Eng.) program.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2017) | 336.81 KB |
| Course Outline (Winter 2016) | 456.1 KB |
| Course Outline (Winter 2018) | 461.73 KB |
| Course Outline (Winter 2019) | 323.46 KB |
| Course Outline (Winter 2020) | 357.35 KB |
| Course Outline (Winter 2021) | 89.61 KB |
| Course Outline (Winter 2022) | 198.87 KB |
| Course Outline (Winter 2023) | 87.33 KB |
| Course Outline (Winter 2024) | 106.05 KB |
| Course Outline (Winter 2026) | 103.48 KB |