|
| Section | Day | Time | Instructor | Exam Date | Delivery |
|---|
| ACSC 041 - Actuarial Science Internship Term 1 |
|---|
| First four month term of Actuarial Science Internship Program. |
| 041 |
|
- |
Jan-Paul Venter |
|
|
| ACSC 042 - Actuarial Science Internship Term 2 |
|---|
| Second Term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 041 *** |
| 042 |
|
- |
Jan-Paul 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 |
Jan-Paul Venter |
25-APR-23 |
|
| 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 |
20-APR-23 |
|
| 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 |
25-APR-23 |
|
| 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 Black-Scholes 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 |
Jan-Paul 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 |
18-APR-23 |
|
| 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 |
24-APR-23 |
|
| 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 |
19-APR-23 |
HYBON |
