Course Schedule
APMA 1650 - Spring 2020
Below is a course schedule. It contains an outline of course topics, suggested reading assignments, and Exam dates. By default, the assigned readings will be from the book by Wackerly, Mendenhall, and Scheaffer (see Syllabus). From time to time there will be links to supplementary notes or material added as needed. Homework assignment and due dates will appear here as well.
Note: This schedule is approximate and will evolve as the course progresses. Lectures may be rearranged and split between days depending on course progress.
| Date | Material | Assigned Reading |
|---|---|---|
| Basics of Probability | Ch 1 -2 | |
| Th 1/23 | What is Statistics? -- No Class | §1.1 - §1.6 (Suggested) |
| Tu 1/28 | Introduction to Set Theory, and Discrete Probability | §2.1 - §2.4 |
| Th 1/30 | Calculating Probabilities, Combinatorics, and Examples | §2.5 - §2.6 |
| Tu 2/4 | Conditional Probability and Independence, Additive and Multiplicative laws | §2.7 - §2.8 |
| Th 2/6 | Event Composition, Tree Diagrams, Law of Total Probability and Bayes' Law | §2.9 - §2.10 Homework 1 Due |
| Discrete Random Variables | Ch 3 | |
| Tu 2/11 | Random Variables, Probability Distributions | §2.11, §3.1 - §3.3 |
| Th 2/13 | Expected Value, Binomial and Geometric Distributions | §3.1 - §3.5 Homework 2 due |
| Tu 2/18 | Presidents day weekend? - No Class | |
| Th 2/20 | Expected value cont, Variance | §3.7 |
| Tu 2/25 | Chebyshev's Inequality, Weak Law of Large Numbers, Poisson Distribution | §3.8, §3.11 |
| Continuous Random Variables and Central Limit theorem | Ch 4, 7 | |
| Th 2/27 | Cumulative Distributions, Density Functions | §4.1 - §4.2 Homework 3 due |
| Tu 3/3 | Expected values, Variance, Uniform distribution | §4.3 - §4.4 |
| Th 3/5 | Exponential, Normal Distributions | §4.5- §4.6 Homework 4 Due |
| Tu 3/10 | Changed First Midterm Exam | Ch 1 - 3 |
| Th 3/12 | Manipulating random variables Central Limit Theorem | §6.3, §7.5 |
| Tu 3/17 | Virus Break - No Class | |
| Tu 3/19 | Virus Break - No Class | |
| Tu 3/24 | Spring Break - No Class | |
| Tu 3/36 | Spring Break - No Class | |
| Multivariate Random Variables and Distributions | Ch 5 | |
| Tu 3/31 | Multivariate Distributions, Marginals and Conditional Probabilities | §5.1 - §5.3 |
| Th 4/2 | Independence, Expected Values and Conditional Expectation | §5.4 - §5.6, §5.11 Homework 5 Due |
| Tu 4/7 | Covariance, Correlation | §5.7 - §5.8 |
| Sampling and Estimation | Ch 8 | |
| Th 4/9 | Point Estimators, Bias and Mean Square Error | §8.1 - §8.4 |
| Tu 4/14 | Error Estimation and Confidence Intervals | §8.5 - §8.10 |
| Fri 4/17 | Second Midterm Exam | Ch 4, 5, 6.3, 7.5 |
| Methods of Estimation | Ch 9 | |
| Tu 4/21 | Efficiency, Consistency, Sufficiency | §9.1 - §9.4 |
| Th 4/23 | Method Moments and Method Maximum Likelihood | §9.6 - §9.7 |
| Study Days | ||
| Tu 4/28 | Exam Review | |
| Th 4/30 | Exam Review | |
| Tu 5/5 | Exam Review | |
| Th 5/7 | Final Exam - Details TBD | Cumulative |
- Sam Punshon-Smith 2020