STA2101/442(G) F2018 Syllabus

STA442/2101: Methods of Applied Statistics

University of Toronto, Fall 2017

http://www.utstat.toronto.edu/~brunner/appliedf18

Lecture: Friday 2:10-5:00 in Northrop Frye Hall (73 Queen's Park Crescent East), Room 003

Instructor: Jerry Brunner
Phone: 416-978-0673
email: brunner[at]utstat.toronto.edu
Office Hours: Wednesday 11:10-2:00
Office hour location: Northrop Frye Hall (NF) Room 113.

Note: I do not read my email every day, and the problem tends to get worse as the term progresses. It is much more efficient to talk with me before or after class, or during office hours.

Textbooks: These are available in PDF format free of charge. The texts are mostly for background reading in case you need some review, or you want to go beyond what is covered in lecture.

Linear models with R (2009) by J. Faraway.
Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. A strong masters level regression text.
Statistical models (2003) by A. C. Davison. This is the place to look if you want the real truth about almost any applied statistical topic.
Introduction to R by Venables, Smith and others. This free 100 page document is very helpful if you plan to do serious work with R.

Topics: Frequentist and Bayesian estimation and inference, Applied linear and logistic regression, Model mis-specification, Simulation, Permutation tests, Bootstrapping, Analysis of within-cases data using mixed linear and non-linear models, Introduction to machine learning and neural nets.

Prerequisite: For STA442, the prerequisites are STA302 and CSC108 or higher. For STA2101 the prerequisite is a course in linear regression. It is assumed that graduate students also have some computing experience. Note that students without prerequisites may be removed from the course at any time.

Grading: There will be a midterm test in lecture on Friday Oct. 19th, and also a comprehensive final exam. Graduate and undergraduate students will take the same midterm and the same final exam. Graduate students will also complete an individual project. For undergraduates, the midterm counts 40% and the final exam counts 60%. For graduate students, the midterm counts 40%, the final exam counts 50% and the project counts 10%.

Accessibility Needs: We are committed to accessibility. If you require accommodations for a disability, or have any accessibility concerns about the course, the classroom or course materials, please contact Jerry or the Accessibility Resource Centre (www.accessibility.utoronto.ca ) as soon as possible.