Basic Information

  • Course: Math 3215, Probability and Statistics
  • Time: MWF 11:05am-11:55am
  • Location: Skiles 154
  • Instructor: Jun Lu
    • Email:
    • Office: Skiles 225A
  • Office Hour: WF 12:00pm-1:00pm or by appointment
  • Textbook: A First Course in Probability by Sheldon Ross and Lecture Notes
    • Reference: Probability and Statistical Inference, 8th edition


This course will focus on both theory and application of probability and statistics.

  • Mathematics. The elementary calculus should be adequate for the course. Also some understanding on elementary combinatorics (permutation, combination etc) is preferred. We will review it in the beginning of the semester.
  • Programming. Simulations is one of the focuses in this course (which is required for the projects as well). This requires some programming skill. In this course, we will use Matlab exclusively for this task. Matlab is one of the simplest (not best, for sure) platforms on the planet for doing simulations. If you haven't had any exposure to it, you can pick it up in one day. We will introduce simulation in the first week. Here are some tutorials


  • Homework. Homework is assigned and collected biweekly. Each homework contains 15 problems. You need to complete the first 10 problems while the last five problems are candidates for tests. You can and are encouraged to work on the homework with your classmates, but the homework you hand in should be written by yourself. No late homework will be accepted. Each homework is worth 3%(7 in total)
  • Test. Three 50-minute tests will be given in lectures. Each test contains 6 problems and 3 of them are directedly withdrawn from homework. No books, notes, calculators are allowed during the test. Each test is worth 15%
  • Final. The final is comprehensive, worth 20%
  • Project. There will be two projects which explore some very interesting applications of probability, worth 7% each


Any regrading request should be submitted to the lecturer within no more than one week after the tests have been returned in class.


Make-up test is allowed only in emergency situations and I must be notified prior to the exam. You need also provide a reasonable, written confirmation of your absence.

Academic Dishonesty

All students are expected to comply with the Georgia Tech Honor Code. Any evidence of cheating or other violations of the Georgia Tech Honor Code will be submitted directly to the Dean of Students. Cheating includes, but is not limited to: using a calculator, books, or any form of notes on tests; copying directly from any source, including friends, classmates, tutors, or solutions manuals; allowing another person to copy your work.