Welcome to Probability Theory! For course info and policies, please see the syllabus. For grades, log into Moodle. If you need help or have questions, please contact Prof. Wright.

**Prof. Wright's drop-in hours:** typically Mon. 11am–noon, Tues. 2–3pm, Wed. 9–10am, and Fri. 10–11am in RMS 405. Check Google Calendar for up-to-date availability, or email to schedule an appointment.

**Help sessions:** Mondays 7:00–8:30pm in RNS 208

September 8

- Complete the Introductory Survey, if you haven't done so already.
- Read the Syllabus and complete the Syllabus Quiz (on Moodle).
- From the textbook, read §1.1 and §1.2, and watch the accompanying video Sample Spaces, Events, and Axioms.
*Answer the three questions embedded in the video before class on Tuesday.* - Read §1.3 in the textbook, and watch the accompanying video Counting Methods.
*Answer the three questions embedded in the video before class on Tuesday.* - Take a look at Homework 1. Begin the problems from §1.1.

September 13

- Review the solutions to the problems from class.
- Re-read §1.3 in the textbook.
- Watch the video Four Types of Couting Problems and answer the questions embedded in the video before class on Thursday.
- Work on Homework 1. Try to finish the problems from §1.1 and §1.2.

September 15

- Review the solutions to the problems from class.
- Watch the video Conditional Probability and answer the questions embedded in the video before coming to class on Tuesday. Also §1.4 in the textbook, paying special attention to the examples.
- Read §1.5 in the textbook. Watch the video Independence and answer the questions embedded in the video before coming to class on Tuesday.
- Finish Homework 1. Write your solutions clearly and neatly. Upload your solutions to Homework 1 on Moodle.

Bonus video: John Urschel-NFL Math Whiz

- Review the solutions to the problems from class.
- Watch the video Simulation of Random Events and answer the questions embedded in the video before coming to class on Thursday. Also read §1.6 in the textbook.
- If possible, bring a computer with Mathematica or R to class on Thursday.
- Begin Homework 2. This homework is due next Tuesday, but it's important to start early.

September 22

- Review the solutions to the problems from class.
- Watch the video Discrete Random Variables and answer the questions embedded in the video before coming to class on Tuesday. Also read §2.1 and §2.2 in the textbook.
- Watch the video Expected Value and Standard Deviation and answer the questions embedded in the video before coming to class on Tuesday. Also read §2.3 in the textbook.
- Finish Homework 2. Write your solutions clearly and neatly. Upload your solutions to Homework 2 on Moodle.

Bonus videos: Satyan Devadoss — Blue Collar Mathematics and Mage Merlin's Unsolved Mathematical Mysteries

*MSCS Tailgate Party: Wednesday, September 28, 4:30–6:30pm in Tomson 280 (masks required) and outside*

- Review the solutions to the problems from class. Also review §2.3 in the text.
- Watch the video The Binomial Distribution and answer the questions embedded in the video before coming to class on Thursday. Also read §2.4 in the textbook.
- Begin Homework 3. This homework is due next Tuesday, but it's important to start early.

September 29

- Review the solutions from the problems in class, especially those involving Chebyshev's Inequality.
- Watch the video The Poisson Distribution and answer the questions embedded in the video before coming to class on Tuesday. Also read §2.5 in the textbook.
- Finish Homework 3. Write your solutions clearly and neatly. Upload your solutions to Homework 3 on Moodle.

Oct. 4: *Math Across the Cannon* featuring Satyan Devadoss colloquium 3:30pm at Carleton; public lecture 7pm in Viking Theater

- Review the solutions to the problems from class.
- Begin Homework 4. This homework will not be collected, but you should do it before the exam. Solutions will be posted with the homework.
- Read the Exam 1 Information.

October 6

- Begin Homework 4. This homework will not be collected, but you should do it before the exam. Solutions will be posted with the homework.
- Review the Exam 1 Information. Study for the exam.

October 11

**Exam 1:**covering sections 1.1 through 2.4 in the textbook

- Complete the take-home exam problems.
- Watch the videos The Hypergeometric Distribution and The Negative Binomial Distribution and answer the questions embedded in the videos. Also read §2.6 in the textbook.

October 13

- Watch the videos Moment Generating Functions, Part 1 and Moment Generating Functions, Part 2 and answer the questions in the videos. Also read §2.7 in the textbook.
- If possible, bring a computer with Mathematica to class on Thursday.

October 20

October 25

October 27

November 1

November 3

November 8

**Exam 2**: covering sections 2.1 through 3.4 in the textbook

November 10

November 15

November 17

November 22

November 29

December 1

December 6

December 8

December 13

December 19

**Final Exam 9:00–11:00am**