Year 3 ENGINEERING MATHEMATICS, STATISTICS & FINANCE
| Fall Session – Year 3 | Lect. | Lab. | Tut. | Wgt. | |
|---|---|---|---|---|---|
| CHE374H1: Economic Analysis and Decision Making | F | 3 | - | 1 | 0.50 |
| ESC301H1: Engineering Science Option Seminar | Y | 1 | - | - | 0.25 |
| ESC384H1: Partial Differential Equations | F | 3 | - | 1 | 0.50 |
| MIE375H1: Financial Engineering | F | 3 | - | 1 | 0.50 |
| STA302H1: Methods of Data Analysis I | F | 3 | - | - | 0.50 |
| STA347H1: Probability | F | 3 | - | - | 0.50 |
| Winter Session – Year 3 | Lect. | Lab. | Tut. | Wgt. | |
|---|---|---|---|---|---|
| ACT370H1: Financial Principles for Actuarial Science II | S | 3 | - | - | 0.50 |
| CHE375H1: Engineering Finance and Economics | S | 3 | - | 1 | 0.50 |
| ESC301H1: Engineering Science Option Seminar | Y | 1 | - | - | 0.25 |
| MAT336H1: Elements of Analysis | S | 3 | - | - | 0.50 |
| MIE376H1: Mathematical Programming (Optimization) | S | 3 | 2 | 1 | 0.50 |
| MIE377H1: Financial Optimization Models | S | 3 | 1 | 1 | 0.50 |
- CHE374H1 may be taken in 4F to provide increased flexibility in 3F.
Year 4 ENGINEERING MATHEMATICS, STATISTICS & FINANCE
| Year 4 | Lect. | Lab. | Tut. | Wgt. | |
|---|---|---|---|---|---|
| ESC499Y1: Thesis | Y | 3 | 2 | - | 1.00 |
| ACT460H1: Stochastic Methods for Actuarial Science | F | 3 | - | - | 0.50 |
| MIE479H1: Engineering Mathematics, Statistics and Finance Capstone Design | F | - | - | 3 | 0.50 |
| Two (2) Complementary Studies Electives | F/S/Y | 1.00 | |||
| Four (4) Technical Electives | F/S/Y | 2.00 |
- Students may take a half-year thesis ESC499H1 and an additional 0.5 credit from the electives list instead of a full-year thesis ESC499Y1.
Technical Electives
| Electives – Fall Term | Lect. | Lab. | Tut. | Wgt. | |
|---|---|---|---|---|---|
| APS360H1: Applied Fundamentals of Deep Learning | F | 3 | - | 1 | 0.50 |
| CSC343H1: Introduction to Databases | F | 2 | - | 1 | 0.50 |
| CSC384H1: Introduction to Artificial Intelligence | F | 2 | - | 1 | 0.50 |
| ECE358H1: Foundations of Computing | F | 3 | - | 1 | 0.50 |
| MIE360H1: Systems Modelling and Simulation | F | 3 | 2 | 1 | 0.50 |
| MIE365H1: Advanced OR | F | 3 | 2 | 1 | 0.50 |
| MIE424H1: Optimization in Machine Learning | S | 3 | 1 | - | 0.50 |
| MIE562H1: Scheduling | F | 3 | - | 2 | 0.50 |
| MIE566H1: Decision Making Under Uncertainty | F | 3 | - | 2 | 0.50 |
| RSM430H1: Fixed Income Securities | F | 2 | - | - | 0.50 |
| STA410H1: Statistical Computation | F | 3 | - | - | 0.50 |
| Other Technical Elective | F | 0.50 |
| Electives – Winter Term | Lect. | Lab. | Tut. | Wgt. | |
|---|---|---|---|---|---|
| AER336H1: Scientific Computing | S | 3 | - | 1 | 0.50 |
| APM466H1: Mathematical Theory of Finance | S | 3 | - | - | 0.50 |
| APS360H1: Applied Fundamentals of Deep Learning | S | 3 | - | 1 | 0.50 |
| CHE471H1: Modelling in Biological and Chemical Systems | S | 3 | - | 1 | 0.50 |
| CHE507H1: Data-based Modelling for Prediction and Control | S | 3 | - | 1 | 0.50 |
| CSC263H1: Data Structures and Analysis | F | 2 | - | 1 | 0.50 |
| CSC311H1: Introduction to Machine Learning | S | 2 | - | 1 | 0.50 |
| CSC343H1: Introduction to Databases | S | 2 | - | 1 | 0.50 |
| CSC384H1: Introduction to Artificial Intelligence | S | 2 | - | 1 | 0.50 |
| ECE421H1: Introduction to Machine Learning | S | 3 | - | 2 | 0.50 |
| MIE367H1: Cases in Operations Research | S | 3 | - | 2 | 0.50 |
| MIE368H1: Analytics in Action | F | 2 | 3 | 1 | 0.50 |
| MIE457H1: Knowledge Modelling and Management | S | 3 | 1 | 1 | 0.50 |
| MIE469H1: Reliability and Maintainability Engineering | S | 3 | - | 2 | 0.50 |
| RSM432H1: Risk Management for Financial Managers | S | 2 | - | - | 0.50 |
| RSM434H1: Financial Trading Strategies (formerly RSM412H1) | S | 2 | - | - | 0.50 |
| STA447H1: Stochastic Processes (formerly STA348H1) | S | 3 | - | - | 0.50 |
| STA457H1: Time Series Analysis | S | 3 | - | - | 0.50 |
| Other Technical Elective | F/S/Y |