Mathematics and Statistics
Faculty of Science
Timetable for Actuarial Science
|
Section | Day | Time | Exam Date | Delivery |
---|
ACSC 041 - Actuarial Science Internship Term 1 |
First four month term of Actuarial Science Internship Program. |
010 |
|
- |
|
|
ACSC 042 - Actuarial Science Internship Term 2 |
Second Term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 041 *** |
010 |
|
- |
|
|
ACSC 043 - Actuarial Science Internship Term 3 |
Third term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 042 *** |
010 |
|
- |
|
|
ACSC 044 - Actuarial Science Internship Term 4 |
Fourth term of Actuarial Science Internship Program.
*** Prerequisite: ACSC 043 *** |
010 |
|
- |
|
|
ACSC 116 - Mathematics of Finance I |
This course provides a basis of financial mathematics. Topics include measurement of interest, basic and general annuities, yield rates, amortization schedules, and sinking funds.
***Prerequisite: MATH 103 or 110***
*Note: Students can receive credit for only one of MATH 116 and ACSC 116* |
001 |
TR |
10:00am - 11:15am |
21-DEC-23 |
|
ACSC 317 - Actuarial Models I |
Probabilistic and deterministic contingency mathematics in life insurance and pensions. Topics include: benefit premiums, benefit reserves, multiple life functions, and multiple decrement models.
***Prerequisite: ACSC 217 or STAT 217***
*Note: Students may receive credit for only one of ACSC 317 or STAT 317* |
001 |
TR |
1:00pm - 2:15pm |
14-DEC-23 |
|
010 |
M |
2:30pm - 3:20pm |
|
|
ACSC 417 - Introduction to Casualty Insurance and Credibility |
An introduction to property/casualty loss reserving techniques. Topics include: reserves in casualty insurance, ratemaking process, credibility and ruin theory.
***Prerequisite: ACSC 317.*** |
001 |
MW |
1:00pm - 2:15pm |
20-DEC-23 |
|
ACSC 418 - Time Series Analysis and Forecasting |
This course aims to introduce various statistical models for time series and cover the main methods for analysis and forecasting. Topics include: Deterministic time series: Trends and Seasonality; Random walk models; Stationary time series: White noise processes, Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA) models; Estimation, Diagnosis and Forecasting with various time series models; computer programming for Time Series Analysis.
***Prerequisite: STAT 354***
*Note: Students may receive credit for only one of ACSC 418 or STAT 418* |
001 |
TR |
10:00am - 11:15am |
21-DEC-23 |
|
010 |
F |
1:30pm - 2:20pm |
|
|