
Section  Day  Time  Instructor  Exam Date  Delivery 

ACSC 041  Actuarial Science Internship Term 1 
First four month term of Actuarial Science Internship Program. 
041 

 
JanPaul Venter 


ACSC 042  Actuarial Science Internship Term 2 
Second Term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 041 *** 
042 

 
JanPaul Venter 


ACSC 043  Actuarial Science Internship Term 3 
Third term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 042 *** 
043 

 
Peter Douglas 


ACSC 044  Actuarial Science Internship Term 4 
Fourth term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 043 *** 
044 

 
Peter Douglas 


ACSC 216  Mathematics of Finance II 
This course is a continuation of Mathematics of Finance I and covers more advanced topics ranging from the theory of interest to principles of corporate finance. Specific topics include bonds, securities, analysis of risk and basic principles of pricing theory.
***Prerequisite: ACSC 116 or MATH 116***
*Note: Students can receive credit for only one of MATH 216 and ACSC 216* 
001 
TR 
11:30am  12:45pm 
JanPaul Venter 
25APR23 

ACSC 217  Introduction to Actuarial Mathematics 
Topics include: economics of insurance, applications of probability to problems of life insurance, life annuities, and life tables.
***Prerequisite: ACSC 116 or MATH 116, and STAT 251.***
*Note: Students may receive credit for only one of ACSC 217 or STAT 217.* 
001 
TR 
10:00am  11:15am 
Peter Douglas 
20APR23 

010 
W 
12:30pm  1:20pm 
STAFF 


ACSC 300  Statistical Learning and Predictive Modeling 
Selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software.
***Prerequisite: MATH 122, STAT 252, and CS 110***
*Note: Students can receive credit for only one of ACSC 300 and STAT 300* 
001 
TR 
11:30am  12:45pm 
Andrei Volodin 
25APR23 

010 
M 
12:30pm  1:20pm 
Sarah Carnochan Naqvi 


ACSC 316  Mathematics of Finance III 
This course covers the theory and pricing of financial derivatives such as Puts and Calls, with particular emphasis on the BlackScholes model.
***Prerequisite: ACSC 216 or MATH 216, and STAT 251***
*Note: Students can receive credit for only one of MATH 316, STAT 316, and ACSC 316.* 
001 
TR 
2:30pm  3:45pm 
JanPaul Venter 


ACSC 318  Actuarial Models II 
This course introduces collective risk models over an extended period. Stochastic processes are introduced, followed by definition and application of Markov chains. Introductory loss model material is also presented.
***Prerequisite: ACSC 317 or STAT 317***
*Note: Students may receive credit for only one of ACSC 318 or STAT 318* 
001 
TR 
08:30am  09:45am 
Taehan Bae 
18APR23 

ACSC 419  Estimation and Selection of Actuarial Models 
This course continues topics relating to loss models covered in ACSC 318, and includes estimating the parameters for severity, frequency, and aggregate distributions using Maximum Likelihood Estimation as well as Bayesian estimation. The topic of model selection is also considered.
***Prerequisite: ACSC 318 and STAT 351*** 
001 
MWF 
11:30am  12:20pm 
Taehan Bae 
24APR23 

ACSC 456  Applied Stochastic Processes 
An introduction to stochastic processes; Markov chains; Poisson processes; renewal processes; Brownian motion; simulation.
***Prerequisite: STAT 351.***
*Note: Credit can be earned for only one of ACSC 456, STAT 456, or STAT 856.* 
001 
MWF 
09:30am  10:20am 
Andrei Volodin 
19APR23 
HYBON 