Instructor: Dr. Silas Johnson
Class time: MWF 2:00-2:50, Crow 204
Office: Cupples I, room 107A
Office hours: Monday 3:00-4:00 (your class only) and Tuesday 12:30-2:00 (shared with Math 131)
This is an introductory course in mathematical probability. Major topics include:
This is a proof-based course, in that we will prove things in class, and you will at times (though definitely not always) be asked to do so on homework. However, the course will not require the degree of rigor expected in, for example, a real analysis course for math majors.
Learning objectives for the course include:
While it is easy in a lecture course to sit back and watch math happen on the blackboard, remember that the only way to learn math is to do math. It is crucial to your success that you engage with the material both in and outside of class. We will spend as much class time as we can allowing you to learn actively, rather than passively, in a variety of ways. Be open to the fact that class may not always look like what you think a lecture has to look like!
It is also easy to get lost in a crowd in a large-ish class, but you will have better results if you approach learning as a community activity. (After all, if that weren't important, you could take this class online!) The best resource you have is not the textbook, old exams, homework problems, or office hours, but your classmates. Use them! Work together in and outside of class, form study groups, ask for and give help. Conversely, remember that you are the best resource they have too, and communicating your ideas to others is a great learning technique and a crucially important skill.
Finally, don't be afraid to make mistakes. Despite all our emphasis on grades, failure is a crucial part of the learning process, and you should not expect to get everything right the first time. It is also your responsibility to help create an environment in which your classmates can safely engage in productive failure.
General advice for upper-level math courses:
Textbook: A First Course in Probability, 9th edition, by Sheldon Ross. Some homework problems will be assigned out of the textbook, so if you have an older or newer edition, check with a classmate to ensure that you are doing the correct problems. (No credit will be given for doing the wrong problems.)
Recommended Textbook: Introduction to Mathematical Statistics, 7th edition, by Hogg, McKean, and Craig. A little bit of content near the end of the course will come from this book, but you are not required to buy it; I will ensure that you have access to everything you need either online or via lecture notes. This is also the textbook for Math 494, so if you are certain you will take that class, you can buy the textbook now.
Calculators: You may use any calculator you want on homework, but no calculators are allowed on exams. Exams will be written so as to not require calculators.
Canvas is our course management system; grades and homework will be posted there, as well as occasional announcements. To access Canvas, go to mycanvas.wustl.edu.
Homework: There will be around 9-12 problem sets, due approximately weekly. Homework will be submitted through Crowdmark; I will send instructions later on how to do this. Your lowest homework score will be dropped when calculating your grade.
I strongly encourage you to collaborate on your homework assignments and discuss the problems with others. However, you must write your solutions yourself, and you may not copy from any other student. See the section "Teaching and Learning Philosophy" above for more thoughts on the role of collaboration in the learning process.
Exams: There will be three in-class exams, plus a final exam. Pending availability of a larger classroom, the dates of these exams are:
Exams may or may not allow formula sheets; details will be discussed at least one week before the first exam. Either way, exams will not require excessive memorization.
Accommodations: Students requiring accommodations for a disability during exams or otherwise should register with Disability Resources as soon as possible. Send your VISA (which you will receive from Disability Resources) to Dr. Johnson at least two weeks in advance of the first exam so your accommodations can be arranged.
Grading Scheme: Your grade will consist of 25% homework, 15% for each of 3 in-class exams, and 30% for the final exam. Your lowest homework grade will be dropped, and your lowest in-class exam score can be replaced by your final exam score (if your final exam score is higher).
Letter Grades: Total course grades will be converted to letter grades according to the following ranges:
If you take the course on a credit/no credit (pass/fail) basis, you must earn at least a C- to pass.
External Math Resources
This schedule is only an estimate! If you miss class, please confirm with another student so you can make sure you catch up on the correct material.
|2||9/3-9/6||Review, 3.1-3.3|| No class Monday
Add/drop deadline, Thursday
|5||9/23-9/27||4.8|| Exam 1 in class Wednesday
Tentatively covers sections 1.1-1.5, 2.1-2.5, 3.1-3.4, 4.1-4.5
|7||10/7-10/11||5.3-5.7||Last day to change to pass/fail, Friday|
|8||10/16-10/18||6.1-6.2||No class Monday-Tuesday|
|10||10/28-11/1||ch. 6 wrap-up, 7.1-7.2|| Exam 2 in class Monday
Tentatively covers previous material plus 4.6-4.9, 5.1-5.7, 6.1-6.3
|12||11/11-11/15||7.6-7.8||Last day to withdraw, Friday|
|14||11/25-11/26||none, exam only|| Exam 3 in class Monday
Tentatively covers previous material plus 6.4-6.5, 6.7, 7.1-7.2, 7.4-7.8, 8.1-8.2
|15||12/2-12/6||8.4, other topics TBD|
|Exams||12/16||Final exam 3:30-5:30|