[See also the evolving lecture notes, to be updated after each lecture.]STA 447/2006S is a course about random (stochastic) processes, designed for graduate and senior undergraduate students in statistics and related disciplines.
Instructor: Professor Jeffrey S. Rosenthal, Department of Statistics, University of Toronto. Sidney Smith Hall, room 5016B; phone (416) 978-4594; http://probability.ca/jeff/; firstname.lastname@example.org
Lectures: Thursdays, 6:10 - 9:00 p.m., in room 1069 of Sidney Smith Hall (building "SS" on campus map). First class Jan 14. Last class Apr 7. No class Feb 18 (Reading Week). During lectures, please put away your laptops and cell phones (unless you are using them specifically for a class-related purpose), and pay attention to the material being presented.
Course Web Page: Visit www.probability.ca/sta447 for course information and announcements.
Prerequisite: STA 347H. (Or equivalent, if you were an undergrad at a different university.)
Evaluation for STA447:
10% Homework #1 (assigned by Jan 28, due Feb 11 at 6:10 pm sharp);
25% Midterm test [sol] (two hours; 6-9pm on Thurs Feb 25 in HA401 [last name A-P] and HA410 [last name Q-Z]) [BRING YOUR STUDENT CARD];
10% Homework #2 (assigned by Mar 3, due Mar 17 at 6:10 pm sharp);
10% Homework #3 (assigned by Mar 24, due Apr 7 at 6:10 pm sharp);
45% Final Exam (Mon Apr 18, 2:00-5:00, in room B150 of the Pharmacy (PB) Building, 144 College St) [BRING YOUR STUDENT CARD].
Evaluation for STA2006: Identical to the evaluation for STA447 (above), except that each homework counts for only 9%, and the remaining 3% is for a short writing assignment (assigned by Mar 17, due Mar 31 at 6:10 pm sharp).
Office Hours: You are welcome to talk to the instructor after class, or any time you find him in his office, or you can e-mail him to arrange another time to meet. In addition, we have arranged special TA office hours before the midterm and homeworks are due, as follows: Tues Feb 9, 12:10-2:00, in RW141; Tues Feb 23, 12:10-2:00, in RW141; Tues Mar 15, 12:10-2:00, in RW141; Wed Apr 6, 11:10-1:00, in RW141; Thurs Apr 14, 12:10-2:00, in SS1070; and Fri Apr 15, 12:10-2:00, in SS1070. Please attend!
Tentative list of topics to be covered: Markov chains in discrete and continuous time, martingales, Poisson processes, renewal theory, and Brownian motion, with applications (as time permits) to Monte Carlo algorithms, random walks on graphs, branching processes, option pricing, queueing networks, and more.
Readings: There is no required textbook. The instructor will post his point-form lecture notes on this course web page. In addition, the following books (among others) may be useful for further reading:
Lateness policy: Homeworks are due at 6:10pm sharp. Lateness penalties are: 1-10 mins = 1 point; 11-30 mins = 2 points; 31 mins - 24 hours = 10% of total points; longer = (10% of total points) x (number of days late, rounded UP).
Regrading policy: Regrading requests should only be made for genuine grading errors, and should be initiated by writing or typing a complete explanation of your concern (together with your full name, student number, e-mail address, and telephone number) on a separate piece of paper, and giving this together with your original unaltered homework/test paper to the instructor within one week of when the graded homework or test was first available. Warning: your mark may end up going down rather than up. (Note: for final exams, a different Faculty-wide process is followed.)