ECO 1011H1F  

Mathematics and Statistics

for PhD and MA Doctoral Stream Students

 

Summer 2011

Department of Economics, University of Toronto

 

Course Description

The course provides an intensive introduction to rigorous mathematical and statistical analysis at the graduate level. Topics include probability theory, statistical estimation, hypothesis testing, regression, static optimization in vector spaces, and optimization of dynamic systems. Statistical software will be used in class assignments. All PhD and MA students in the doctoral stream are expected to take the course.

 

Meetings

Dates:              Every working day from August 22 to September 9, 2011

Time:               10:00 am - 5:00 pm

Place:              WO 35 (Woodsworth College Residence, 321 Bloor Street West, room 35)

 

Course Materials

Course materials consist of lecture notes that will be presented during the class time. There is no textbook prescribed for the course.

 

Staff Information

 

1^st part of the course

Instructor:        Prof. Martin Burda

Office:             Economics Department, room 234

E-mail:            martin.burda@utoronto.ca

Phone:            416-978-4479

TA:                  Elton Dusha

Office:             Economics Department, room 80

E-mail:            e.dusha@utoronto.ca
 

Link to Blackboard

 

 

2^nd part of the course

Instructor:        Prof. Shouyong Shi

Office:             Economics Department, room 268

E-mail:            shouyong@chass.utoronto.ca 

Phone:            416-978-4978

TA:                  Elton Dusha

Office:             Economics Department, room 80

E-mail:            e.dusha@utoronto.ca