 |
| PRE-REQUISITE | UFUG 1103 OR UFUG 1106 |
|---|---|
| DESCRIPTION | This course aims to teach students the basic math concepts for Artificial Intelligence (AI). Key topics include fundamental Linear Algebra (Matrix Calculations, Norms, Eigenvectors and Eigenvalues), Calculus (Derivative, Taylor series, Multivariate Calculus), and Probability Theory (Distributions, Statistics of Random Variables, Bayes’ theorem). With these mathematical concepts, some basic principles of numerical optimization and typical AI algorithms (Gradient Descent, Maximum-likelihood, Regression, Least Square Estimation, Spectral Clustering, Matrix Decomposition, etc.) will also be introduced as examples to better relate math to AI. The approach of this course is specifically AI application oriented, aiming to help students to quickly establish a fundamental mathematical knowledge structure for AI studies. Through this course, students will acquire the fundamental mathematical concepts required for AI, understand the connections between AI and mathematics, and get prepared to learn the mathematical principles, formulas, inductions, and relevant proofs for advanced AI algorithms. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6418) | Mo 01:30PM - 02:50PM | Rm 101, E1 | ZHONG, Bingzhuo | 60 Quota/Enrol/Avail Year 2 UG students: 30/0/30 Year 3 UG Students: 30/0/30 | 0 | 60 | 0 | |
| Fr 09:00AM - 10:20AM | Rm 101, E1 | ZHONG, Bingzhuo |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course introduces potential security and privacy vulnerabilities in Artificial Intelligence (AI) and covers basic and advanced protections. Topics include security and privacy risks in AI technologies, the goal of C.I.A. (Confidentiality, Integrity and Availability) in AI technologies, basic and advanced cryptography, protocol designs for AI security and privacy, etc. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6035) | Mo 09:00AM - 11:50AM | Rm 102, W4 | ZHONG, Bingzhuo | 50 Quota/Enrol/Avail PhD (AI): 30/0/30 | 0 | 50 | 0 |
| VECTOR | [0 credit] |
|---|---|
| DESCRIPTION | Series of seminars presenting research problems currently under investigation, presented by faculty, students, and visiting speakers. Students are expected to attend regularly. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6366) | We 01:30PM - 04:20PM | Lecture Hall A | ZHONG, Bingzhuo | 180 | 0 | 180 | 0 |
| PRE-REQUISITE | Gaokao Physics or Gaokao Lizong (Integrated Science) OR HKDSE Level 3 or above in HKDSE 1/2x OR HKDSE 1x Physics |
|---|---|
| EXCLUSION | UFUG 1503 |
| DESCRIPTION | General Physics I is designed for students who are interested in science and technology. The course is delivered based on an algebra-based approach, and it incorporates conceptual understandings and mathematical problem-solving skills. Key topics covered by General Physics I are divided into three modules. The first module covers the fundamentals of mechanics, including motion in one and two dimensions, Newton's Laws, and rotational kinematics and dynamics, etc. The second module covers energy and oscillations, including work, energy conservation, momentum conservation, oscillations, fluids, and waves, etc. The third module covers thermodynamics,including the laws of thermodynamics and ideal gases, etc. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L02 (6455) | We 09:00AM - 11:50AM | Rm 101, W4 | ZHONG, Bingzhuo | 45 | 0 | 45 | 0 | |
| T02 (6467) | We 06:30PM - 07:20PM | TBA | ZHONG, Bingzhuo | 45 | 0 | 45 | 0 | The classroom is W4102. |