Course Offerings & Outlines

Courses for the upcoming registration period can also be viewed by going to the Course Outline Repository.

Fall 2019 (1197) Semester

ACMA Undergraduate Courses

Course Title Instructor Day/Time Location
ACMA 210 D100 Mathematics of Compound Interest Gary Parker
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
BLU 10021, Burnaby
SWH 10051, Burnaby
ACMA 336 D100 Job Practicum I Natalie Erickson
TBA
Location: TBA
ACMA 336 D200 Job Practicum I Natalie Erickson
TBA
Location: TBA
ACMA 336 I100 Job Practicum I Natalie Erickson
TBA
Location: TBA
ACMA 337 D100 Job Practicum II Natalie Erickson
TBA
Location: TBA
ACMA 337 D200 Job Practicum II Natalie Erickson
TBA
Location: TBA
ACMA 337 I100 Job Practicum II Natalie Erickson
TBA
Location: TBA
ACMA 355 D100 Loss Models I Gary Parker
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SECB 1010, Burnaby
SWH 10051, Burnaby
ACMA 425 D100 Actuarial Mathematics II Chi-Liang Tsai
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 5008, Burnaby
AQ 5030, Burnaby
ACMA 436 D100 Job Practicum III Natalie Erickson
TBA
Location: TBA
ACMA 436 D200 Job Practicum III Natalie Erickson
TBA
Location: TBA
ACMA 436 I100 Job Practicum III Natalie Erickson
TBA
Location: TBA
ACMA 437 D100 Job Practicum IV Natalie Erickson
TBA
Location: TBA
ACMA 437 D200 Job Practicum IV Natalie Erickson
TBA
Location: TBA
ACMA 437 I100 Job Practicum IV Natalie Erickson
TBA
Location: TBA
ACMA 438 D100 Job Practicum V Natalie Erickson
TBA
Location: TBA
ACMA 438 D200 Job Practicum V Natalie Erickson
TBA
Location: TBA
ACMA 438 I100 Job Practicum V Natalie Erickson
TBA
Location: TBA
ACMA 440 D100 Models for Financial Economics Jean-Francois Begin
Mo 8:30 AM – 10:20 AM
We 8:30 AM – 9:20 AM
WMC 3250, Burnaby
WMC 3250, Burnaby
ACMA 490 D100 Selected Topics in Actuarial Science (Stochastic Models of Retirement Income) Barbara Sanders
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
WMC 3250, Burnaby
WMC 2503, Burnaby
ACMA 490 D200 Selected Topics in Actuarial Science (Modelling of Actuarial Risks) Chi-Liang Tsai
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
AQ 5008, Burnaby
AQ 5036, Burnaby
ACMA 495 D100 Directed Studies in Actuarial Science (Monte Carlo Methods in Finance) Jean-Francois Begin
TBA
Location: TBA

STAT Undergraduate Courses

Course Title Instructor Day/Time Location
STAT 100 D100 Chance and Data Analysis Fat-Kwong Ng
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SSCC 9001, Burnaby
SSCC 9001, Burnaby
STAT 100 D900 Chance and Data Analysis Gaitri Yapa
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SRYE 1002, Surrey
SRYE 1002, Surrey
STAT 180 E100 Career Development Seminar for Statistics and Actuarial Science Derek Bingham
Tu 6:30 PM – 8:20 PM
SWH 10041, Burnaby
STAT 201 C100 Statistics for the Life Sciences
Distance Education
STAT 201 D100 Statistics for the Life Sciences Jorge Rodriguez
Mo, We, Fr 2:30 PM – 3:20 PM
SSCB 9200, Burnaby
STAT 203 C100 Introduction to Statistics for the Social Sciences
Distance Education
STAT 203 D900 Introduction to Statistics for the Social Sciences Gaitri Yapa
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
SUR 3090, Surrey
SUR 3090, Surrey
STAT 205 D100 Introduction to Statistics Jorge Rodriguez
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 5030, Burnaby
STAT 260 D100 Introductory R for Data Science Brad McNeney
Tu 12:30 PM – 2:20 PM
SSCC 9002, Burnaby
STAT 261 D100 Laboratory for Introductory R for Data Science Brad McNeney
Tu 6:30 PM – 7:20 PM
AQ 5047, Burnaby
STAT 261 D200 Laboratory for Introductory R for Data Science Brad McNeney
Tu 2:30 PM – 3:20 PM
RCB 7102, Burnaby
STAT 261 D300 Laboratory for Introductory R for Data Science Brad McNeney
Tu 3:30 PM – 4:20 PM
RCB 7102, Burnaby
STAT 261 D400 Laboratory for Introductory R for Data Science Brad McNeney
Tu 4:30 PM – 5:20 PM
RCB 6101, Burnaby
STAT 261 D500 Laboratory for Introductory R for Data Science Brad McNeney
Tu 5:30 PM – 6:20 PM
AQ 5047, Burnaby
STAT 261 D600 Laboratory for Introductory R for Data Science Brad McNeney
We 4:30 PM – 5:20 PM
RCB 6101, Burnaby
STAT 270 C100 Introduction to Probability and Statistics
Distance Education
STAT 270 D100 Introduction to Probability and Statistics Scott Pai
Mo, We 9:30 AM – 10:20 AM
Fr 9:30 AM – 10:20 AM
SWH 10081, Burnaby
WMC 3520, Burnaby
STAT 285 D100 Intermediate Probability and Statistics Scott Pai
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3153, Burnaby
BLU 9660, Burnaby
STAT 302 C100 Analysis of Experimental and Observational Data
Distance Education
STAT 305 D100 Introduction to Biostatistical Methods for Health Sciences Jorge Rodriguez
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
RCB IMAGTH, Burnaby
RCB IMAGTH, Burnaby
STAT 310 D100 Introduction to Data Science for the Social Sciences Aaron Danielson
Mo 10:30 AM – 12:20 PM
SECB 1010, Burnaby
STAT 311 D100 Data Science Laboratory for the Social Sciences Aaron Danielson
Mo 12:30 PM – 2:20 PM
AQ 3148.1, Burnaby
STAT 330 D100 Introduction to Mathematical Statistics Steven Thompson
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3153, Burnaby
WMC 3260, Burnaby
STAT 336 D100 Job Practicum I Natalie Erickson
TBA
Location: TBA
STAT 336 D200 Job Practicum I Natalie Erickson
TBA
Location: TBA
STAT 336 I100 Job Practicum I Natalie Erickson
TBA
Location: TBA
STAT 337 D100 Job Practicum II Natalie Erickson
TBA
Location: TBA
STAT 337 D200 Job Practicum II Natalie Erickson
TBA
Location: TBA
STAT 337 I100 Job Practicum II Natalie Erickson
TBA
Location: TBA
STAT 342 D100 Introduction to Statistical Computing and Exploratory Data Analysis - SAS Jorge Rodriguez
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
STAT 350 D100 Linear Models in Applied Statistics Gamage Perera
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
WMC 3210, Burnaby
WMC 3210, Burnaby
STAT 430 D100 Statistical Design and Analysis of Experiments Gamage Perera
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SECB 1014, Burnaby
AQ 5037, Burnaby
STAT 436 D100 Job Practicum III Natalie Erickson
TBA
Location: TBA
STAT 436 D200 Job Practicum III Natalie Erickson
TBA
Location: TBA
STAT 436 I100 Job Practicum III Natalie Erickson
TBA
Location: TBA
STAT 437 D100 Job Practicum IV Natalie Erickson
TBA
Location: TBA
STAT 437 D200 Job Practicum IV Natalie Erickson
TBA
Location: TBA
STAT 437 I100 Job Practicum IV Natalie Erickson
TBA
Location: TBA
STAT 438 D100 Job Practicum V Natalie Erickson
TBA
Location: TBA
STAT 438 D200 Job Practicum V Natalie Erickson
TBA
Location: TBA
STAT 438 I100 Job Practicum V Natalie Erickson
TBA
Location: TBA
STAT 440 E100 Learning from Big Data Lloyd Elliott
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
RCB 6125, Burnaby
RCB 6125, Burnaby
STAT 450 D100 Statistical Theory Zhiyang Zhou
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
WMC 3251, Burnaby
WMC 2522, Burnaby
STAT 452 D100 Statistical Learning and Prediction Brad McNeney
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3181, Burnaby
AQ 3181, Burnaby
STAT 485 E100 Applied Time Series Analysis Mahatelge Peiris
Mo 5:30 PM – 6:20 PM
Th 4:30 PM – 6:20 PM
AQ 3182, Burnaby
EDB 7618, Burnaby
STAT 490 D100 Selected Topics in Probability and Statistics (Practice of Sports Data Analytics) Dave Clarke
Tim Swartz
Tu 11:30 AM – 2:20 PM
BLU 10921, Burnaby

ACMA Graduate Courses

Course Title Instructor Day/Time Location
ACMA 850 G100 Actuarial Science: Selected Topics (Stochastic Models of Retirement Income) Barbara Sanders
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 12:20 PM
WMC 3250, Burnaby
WMC 2503, Burnaby
ACMA 850 G200 Actuarial Science: Selected Topics (Modelling of Actuarial Risks) Chi-Liang Tsai
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
AQ 5008, Burnaby
AQ 5036, Burnaby

STAT Graduate Courses

Course Title Instructor Day/Time Location
STAT 605 G100 Biostatistical Methods Jorge Rodriguez
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
RCB IMAGTH, Burnaby
RCB IMAGTH, Burnaby
STAT 642 G100 Introduction to Statistical Computing and Exploratory Data Analysis - SAS Jorge Rodriguez
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
STAT 652 G100 Statistical Learning and Prediction Brad McNeney
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3181, Burnaby
AQ 3181, Burnaby
STAT 685 G100 Applied Time Series Analysis Mahatelge Peiris
Mo 5:30 PM – 6:20 PM
Th 4:30 PM – 6:20 PM
AQ 3182, Burnaby
EDB 7618, Burnaby
STAT 811 G100 Statistical Consulting I Ian Bercovitz
Tu 9:30 AM – 11:20 AM
Location: TBA
STAT 812 G100 Statistical Consulting II Ian Bercovitz
TBA
Location: TBA
STAT 812 G200 Statistical Consulting II Ian Bercovitz
TBA
Location: TBA
STAT 830 G100 Statistical Theory I Steven Thompson
Tu, Th 11:30 AM – 1:20 PM
AQ 5030, Burnaby
STAT 840 G100 Statistical Genetics and Genomics Jinko Graham
Mo 10:30 AM – 12:20 PM
Th 9:30 AM – 11:20 AM
AQ 5005, Burnaby
AQ 5005, Burnaby
STAT 850 G100 Linear Models and Applications Boxin Tang
We, Fr 11:30 AM – 1:20 PM
AQ 5005, Burnaby
STAT 852 G100 Modern Methods in Applied Statistics Thomas Loughin
Mo, We 2:30 PM – 4:20 PM
SECB 1014, Burnaby
STAT 880 G100 Practicum I Natalie Erickson
TBA
Location: TBA
STAT 880 G200 Practicum I Natalie Erickson
TBA
Location: TBA
STAT 880 I100 Practicum I Natalie Erickson
TBA
Location: TBA
STAT 881 G100 Practicum II Natalie Erickson
TBA
Location: TBA
STAT 881 G200 Practicum II Natalie Erickson
TBA
Location: TBA
STAT 881 I100 Practicum II Natalie Erickson
TBA
Location: TBA
STAT 882 G100 Practicum III Natalie Erickson
TBA
Location: TBA
STAT 882 G200 Practicum III Natalie Erickson
TBA
Location: TBA
STAT 882 I100 Practicum III Natalie Erickson
TBA
Location: TBA
STAT 894 G100 Reading (Monte Carlo Methods in Finance) Jean-Francois Begin
TBA
Location: TBA
STAT 895 G100 Reading TBA
Location: TBA
STAT 898 G100 MSc Project TBA
Location: TBA
STAT 898 G200 MSc Project TBA
Location: TBA
STAT 899 G100 PhD Thesis TBA
Location: TBA
STAT 899 G200 PhD Thesis TBA
Location: TBA