Presentation and description of data, introduction to probability theory, Bayes' theorem, discrete and continuous probability distributions, estimation, sampling distributions, tests of hypotheses on means, variances and proportions, simple linear regression and correlation. Applications are chosen from engineering practice.
This course may not be repeated for credit.
Notes
- Credit towards degree requirements will be given for only one of Engineering 319, Political Science 399, Psychology 312, Sociology 311, Statistics 205, 213 and 217, 327; that one being a course(s) appropriate to the particular degree program.
Prerequisite(s)
- Mathematics 277 or Applied Mathematics 219 or Energy Engineering 240.
Antirequisite(s)
- Credit for Engineering 319 and Biomedical Engineering 319 will not be allowed.
Sections
| LEC 1 | MWF 08:00 - 08:50
| ENG 60
| | | |
| LEC 2 | MWF 09:00 - 09:50
| KNB 132
| | | |
| LEC 3 | MWF 15:00 - 15:50
| ENG 60
| | | |
| LEC 4 | MWF 16:00 - 16:50
| TBA
| | | |
| TUT 1 | F 16:00 - 17:15
| ENG 60
| | | |
| TUT 2 | W 17:00 - 18:15
| ENG 60
| | | |
| TUT 3 | R 17:00 - 18:15
| ENG 60
| | | |
| TUT 4 | F 17:00 - 18:15
| TBA
| | | |
This course will be offered next in
Summer 2019.