proton.me LA: Lingkai Kong
Office Hours Thursday 4:00-6:00 PM Room 280, Cluck building
Texts:
There is no required text for the course. You may consult a variety
of texts and other resources. (See some suggestions below.)
There are two primary resources for course assignments:
My Notes (under construction) by John McCuan
Math 18.05 Introduction to Probability and Statistics MIT OpenCourseware by Orloff and Booth
Additional Texts:
Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross
Probability and Statistical Infereence by Hogg, Tanis, and Zimmerman
Additional Materials
Farmer's appendix on functions
Assignment 1 Problem 2 (a,b) solution
Probability Project Example:
MIT Problem 1 (MAthematica Notebook) PDF version
MIT Problem 1 (Problem Set)
Assignment 2 Problems 1, 2, 4 and 7 solutions
Poisson Distribution Project (first draft) by Jeremy Mahoney
Poisson Distribution Project (second/final draft) by Jeremy Mahoney
feedback on Poisson distribution project
Birthdays Project (the figures)
Bayes' Theorem Project (presentation slides) by Matthew Buchan
Frank Qiang's calculus problem
Solution of Problem 9 Part (a) from Assignment 6
Some MDFs given by powers and Chebyshev's inequality
More responses to questions on course grades
Grading Scheme:
Assignments and Exams (25%):
Assignment 1 10%
Assignment 2 10%
Assignment 3 (Exam 1) 10%
Assignment 4 10%
Assignment 5 10%
Assignment 6 10%
Assignment 7 (Exam 2) 10%
Assignment 8 10%
Assignment 9 10%
Assignment 10 (Final Exam) 10%
Project presentations (25%):
Presentation 1 50%
Presentation 2 50%
Papers (25%):
Paper 1 33 + 1/3%
Paper 2 33 + 1/3%
Paper 3 33 + 1/3%
Simulation (25%)
Simulation 1 10%
Simulation 2 10%
Simulation 3 10%
Simulation 4 10%
Simulation 5 10%
Simulation 6 10%
Simulation 7 10%
Simulation 8 10%
Simulation 9 10%
Simulation 10 10%
(Below 60% C; 60-85% B; 86-100% A)
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