| due 1/30 | Chapter 1, P: 1,2,7*,9,12,15*,18,20*,24,26,27*,28*
Chapter 1, TE: 2,8,13,14ab* (hand in both parts) |
| due 2/6 | Chapter 1, P: 31 Chapter 2, P: 5*,8,12*,15d*,16d*,18,20,25,28*,33,36,37,39*,41,46,50,52,55* |
| due 2/18 | Chapter 2, P: 46 Chapter 3,P: 1,7,11,19*,20,21*,22,32*,33,34*,37,41,51, 58,62*,69*,70,74,79A Chapter 3 TE: 5,7a |
| due 3/4 | Chapter 4, P: 2, 4*, 17*, 18, 19, 20*, 26, 28, 30, 33*, 35a, 40, 43* Chapter 4, TE: 5*, 6, 10 Chapter 4, STP: 1, 3, 10 |
| due 3/11 | Chapter 4, P:
35b*, 21, 37, 38, 51, 53, 55*, 58, 63*, 65, 68*, 74
Chapter 4, TE: 17b, 25*, 26* (probabilistic interpretation) |
| due 3/27 | Chapter 5, P: 1, 2*, 4*, 7, 11, 14, 15, 20, 22*, 23, 27, 31*, 32*, 37, 39 |
| due 4/8 | Chapter 5, P: 25, 29, 33, 40* Chapter 5, TE: 14, 21, 26, 30 Chapter 6, P: 9*, 14, 18*, 21, 22, 26*, 27*, 33* |
| due 4/22 |
Chapter 6 P: 45, 49* Chapter 6 TE: 8, 10*, 14 Chapter 7 P: 3, 9, 12*, 14, 18, 21*, 25, 30*, 31 |
| due 5/6 |
Chapter 7 P: 26, 34*, 36, 40, 45, 48*, 50 Chapter 7 TE: 13 Chapter 8 P: 1*, 2*, 3, 4, 5*, 6, 7, 13, 14* Chapter 8 TE: 2, 6b, 14 |
| Midterm Exam #1 | 21% |
| Midterm Exam #2 | 21% |
| Homework and Quizzes | 16% |
| Final Exam | 42% |
| Total | 100% |
A PDF version of the syllabus is available for print-out.
| # | Date | Reading | Topics |
| 1 | 1/23 | 1.1--1.5 | Counting |
| 2 | 1/28 | 1.6, 2.1--2.3 | More Counting; Axioms of Probability |
| 3 | 1/30 | 2.4--2.5 | Inclusion/Exclusion; Equally Likely \Outcomes |
| 4 | 2/4 | 2.5 | Examples; Stirling's Formula |
| 5 | 2/6 | 3.1--3.3 | Conditional Probability; Bayes's Formula |
| 6 | 2/11 | 3.4 | Independent Events |
| 7 | 2/13 | 3.5 | Repeated Independent Trials |
| 8 | 2/18 | 4.1--4.3, 4.9 | Random Variables, Distribution Functions and C.D.F.'s |
| 9 | 2/20 | EXAM 1 --- Sections 1.1--3.5 | |
| 10 | 2/25 | 4.4--4.6 | Expectation and Variance of Discrete RV |
| 11 | 2/27 | 4.7--4.8 | Special Discrete RV's---Bern., Bin., Geom. Distributions |
| 12 | 3/4 | 4.8 | More Special RV's---Poisson, Neg. Bin., Hypergeom. d.f.'s |
| 13 | 3/6 | 5.1, 5.2 | Continuous RV's; Expectation and Variance |
| 14 | 3/11 | 5.3--5.5 | Special Cts RV's---Uniform, Expon., Normal d.f.'s |
| 15 | 3/13 | 5.4 | Normal Approximation to Binomial RV's |
| 16 | 3/25 | 5.6, 5.7 | Gamma RV's; Functions of a RV |
| 17 | 3/27 | 6.1 | Several RV's; Joint Distributions |
| 18 | 4/1 | 6.2 | Independent RV's |
| 19 | 4/3 | 6.3 | Sums of Independent RV's |
| 20 | 4/8 | 7.1, 7.2 | Linearity of Expectation |
| 21 | 4/10 | EXAM 2 --- Sections 4.1--6.3 | |
| 22 | 4/15 | 7.3 | Covariance and Correlation |
| 23 | 4/17 | 6.4, 6.5 | Conditional Distributions |
| 24 | 4/22 | 7.4 | Conditional Expectation |
| 25 | 4/24 | 7.6 | Moment Generating Functions |
| 26 | 4/29 | 8.1, 8.2 | Markov and Chebyshev Inequalities; Weak Law of Large Numbers |
| 27 | 5/1 | 8.3 | Central Limit Theorem |
| 28 | 5/6 | Catch up and review | |
| FINAL EXAM (entire course): Time and place to be announced | |||