 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | INTR 6000D |
| DESCRIPTION | This course will explore the fundamental theories and methodologies of linear optimization and demonstrate how these techniques can be used to solve practical optimization problems. Two typical linear optimization techniques, linear programming and integer programming, will be introduced and discussed. The first part, linear programming, explores the simplex algorithm and the duality theory that act as the cornerstones of modern linear optimization solvers. The second part, integer programming, covers a broader range of topics in both methodology and applications, including problem modeling, model analysis, and decomposition- and relaxation-based solution methods. Implementation issues and industry cases will also be discussed. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6145) | We 01:30PM - 04:20PM | Rm 101, E4 | JIA, Shuai | 30 | 10 | 20 | 0 |
| PRE-REQUISITE | UFUG 1103 OR UFUG 1106 |
|---|---|
| EXCLUSION | UFUG 2102 |
| DESCRIPTION | Linear algebra is central to almost all areas of mathematics and is also used in most sciences and fields of engineering. This course provides a comprehensive introduction to topics of linear algebra studies, including linear systems, vector spaces, matrices, linear mappings and matrix forms, inner products, orthogonality and Gram-Schmidt process, eigenvalues and eigenvectors, symmetric matrices and diagonalization, and determinants. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L03 (6572) | TuTh 03:00PM - 04:20PM | Rm 202, E3 | JIA, Shuai | 42 | 42 | 0 | 0 | |
| T03 (6579) | Fr 03:00PM - 03:50PM | Rm 102, W1 | JIA, Shuai | 42 | 42 | 0 | 0 |