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MATH 341 Bayesian Modeling Spring 2021

This is the course homepage for Math 341 (and Masters level 650.3-02) at Queens College, City University of New York taught by Professor Adam Kapelner. The course syllabus can be found here. We are now using slack for class discussions and videos (see syllabus for link).

Lectures

My lectures can be listened to as youtube tracks and lecture notes are also scanned in as PDF files contributed by students and myself.

Homeworks

Exams

Practice Exams

  • Midterm I

(practice exam 2020) (practice exam 2020 solutions)
(practice exam 2019) (practice exam 2019 solutions)
(practice exam 2018) (practice exam 2018 solutions)
(practice exam 2017) (practice exam 2017 solutions) Omit 1p, 2a
(practice exam 2016) (practice exam 2016 solutions) Omit 1l, m, n, t, v, w, x, z

  • Midterm II

(practice exam 2020) (practice exam 2020 solutions)
(practice exam 2019) (practice exam 2019 solutions)
(practice exam 2018) (practice exam 2018 solutions) Omit 2d
(practice exam 2017) (practice exam 2017 solutions)
(practice exam 2016) (practice exam 2016 solutions) Omit problem 1e,f. Omit problem 2. Omit 3j,k,l.

  • Final

(practice exam 2020) (practice exam 2020 solutions) Omit all of 2
(practice exam 2019) (practice exam 2019 solutions) Omit 1a-i
(practice exam 2018) (practice exam 2018 solutions)
(practice exam 2017) (practice exam 2017 solutions) Omit 2i,
(practice exam 2016) (practice exam 2016 solutions) Omit Problem 1i, 1j, 1k, 1l, all of 2. Add 3j,k,l from 2016 Midterm 2.

Office Hours

I want you to come to office hours! My office hours are:

Time: Mon/Wed 4:30-5PM
Time: Friday, 11:05-11:30AM
Location: on Zoom

In addition, Abhinav Patil, the course TA, will hold office hours as well:

Time: TBA (as it will be before assignments are due)
Location: on Zoom

Grades and Class Standing

You can check your grades in realtime at http://qc.gradesly.com. You type in your email address and the password (which was emailed to you at the beginning of the semester).

Prerequisite Review

This class has prerequisite of basic probability (Math 241). A good reference is the Ross book - find the terms we are talking about. Needless to say, wikipedia (just query terms used in class) is an indispensable resource. My 241 class is also a good resource. On its github page you can find students' notes (which you can actually read) and audio recordings of the lectures as well as homework questions and exam questions with solutions. Here are some lectures with homework examples that may be of use:

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