A calculus based introduction to probability theory and applications. Elements of probabilistic modeling, Basic probability computation techniques, Discrete and continuous random variables and distributions, Functions of random variables, Expectation and variance, Multivariate random variables, Conditional distributions, Covariance, Conditional expectation, Central Limit Theorem, Applications to real-world modeling.
This course may not be repeated for credit.
Notes
- Statistics 205 is strongly recommended as preparation for this course for Statistics majors. Also known as: (formerly Mathematics 321)
Prerequisite(s)
- Mathematics 267 or 277 or 253 or 283 or Applied Mathematics 219.
SyllabusSections
| LEC 1 | MWF 10:00 - 10:50
| | Jim Stallard | | Outline |
| Notes: Students registered in L01 must register in T01 to T04 |
| LEC 2 | TR 14:00 - 15:15
| | Scott Robison | | |
| Notes: Students registered in L02 must register in T05 or T06 |
| TUT 1 | T 10:00 - 10:50
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| TUT 2 | T 10:00 - 10:50
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| TUT 3 | T 11:00 - 11:50
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| TUT 4 | T 11:00 - 11:50
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| TUT 5 | R 11:00 - 11:50
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| TUT 6 | R 11:00 - 11:50
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This course will be offered next in
Spring 2015.