Sta107 - An Introduction to Probability and Modelling
Course Website: http://www.utstat.toronto.edu/craiu/107/index.html
Lecturer: Radu Craiu
Lecture location and time: BA 1160; M,W and F: 11:10am - 12pm
Email address: firstname.lastname@example.org
Introduction to the theory of probability, with emphasis on the
construction of discrete probability models for applications. After
this course, students are expected to understand the concept of
randomness and aspects of its mathematical representation. Topics
include random variables, Venn diagrams, discrete probability
distributions, expectation and variance, independence, conditional
probability, continuous distributions, the central limit theorem.
Textbook : Fundamentals of Probability, by Saeed Ghahramani
40% 2 Midterms - October 8 and November 12
40% 2 hours Final Exam
20% Homeworks (there will be two homeworks assigned).
Practice problems will be assigned in class and will be discussed during tutorials
The teaching assistants keep the record of your grades.
The distribution of tutorials is done using the first letter of your last name and is as follows:
- Letters A to G -> Section A -> Wednesdays 12 to 1pm SS 1072
- Letters H to P -> Section B -> Wednesdays 12 to 1pm SS1074
- Letters Q to Z -> Section C -> Thursday 11am to 12pm SS1070
All office hours are held in the Statstics Aid Center (SS 2133).
The co-requisite MAT135 or higher is strictly enforced. Acceptable alternatives include
any MAT course at the second year level or higher.
If one of the midterms is missed because of illness, an official
University of Toronto 'Student medical Certificate' (available at the
office of your college registrar) is required. This must be filled out
by a qualified licensed physician and submitted to the instructor. In
such a case, the final grade will be calculated based on the existing midterm.
If both midterms are missed due to illness then the second midterm will be rescheduled.