VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SMMG 6000E |
DESCRIPTION | This course aims to introduce the fundamentals of various additive manufacturing techniques, including fused deposition modeling (FDM), two-photon lithography, stereolithography (SLA), etc. The additive manufacturing process (FDM or SLA as an example) will be illustrated by actual model design, system setup and fabrication of parts. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6345) | 22-JAN-2024 - 14-MAR-2024 Mo 03:00PM - 05:50PM | Rm 102, E1 | CUI, Huachen | 40 | 16 | 24 | 0 | |
15-MAR-2024 - 10-MAY-2024 Mo 03:00PM - 05:50PM | Rm 222, W1 | CUI, Huachen |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SMMG 6000B |
DESCRIPTION | This course provides students with the latest knowledge and skills for metal additive manufacturing (AM) techniques and implications, as well as the fundamental understanding of process-structure-property relationships in material processing using AM. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6132) | We 09:00AM - 11:50AM | Rm 201, E1 | ZHANG, Kaihao | 40 | 16 | 24 | 0 |
VECTOR | [3-0-0:3] |
---|---|
DESCRIPTION | How can we manipulate a single atom? How can we fabricate a state-of-art chip? How can we build the Hong Kong-Zhuhai-Macao Bridge? Precision engineering, this course covers the fundamentals and capabilities, including tool materials, mechanics of cutting, ultra-precision machine elements, MEMS and nanoscale additive manufacturing. Based on these accumulations, this course introduces the industry growth, global state and analyzes the future of precision engineering. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6133) | We 03:00PM - 05:50PM | Rm 201, W2 | CHEN, Mojun | 43 | 40 | 3 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | The use of numerical methods for analysis, simulation, and design of engineering processes and systems has been increasing at a rapid pace in recent years. This course is intended for teaching numerical methods for engineering students at the senior level as well as at the beginning graduate level. The course will have three important objectives: (1) to teach the basic theories and fundamentals of numerical methods; (2) to help the students to acquire skills to implement these methods for computer solution; (3) to provide an environment where the students can familiarize themselves with many today’s popular commercial software systems and their use in the solution of engineering problems. On the first objective, the following fundamental aspects will be covered: analysis of errors, roots of equations, linear and algebraic equations, optimizations, curve-fitting and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. On the second objective, computer programming basics as well as certain specific computer languages such as MATLAB will be introduced. On the last objective, the students will learn how to use MATLAB and Excel VBA to implement their own numerical methods. This course is structured as a 3 credits course. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6182) | 22-JAN-2024 - 14-MAR-2024 Tu 06:00PM - 08:50PM | Rm 102, E1 | TANG, Kai | 40 | 8 | 32 | 0 | |
15-MAR-2024 - 10-MAY-2024 Tu 06:00PM - 08:50PM | Rm 105, E3 | TANG, Kai |
VECTOR | [3-0-0:3] |
---|---|
DESCRIPTION | Focuses on the sensing and data analytics techniques for modeling, monitoring, and optimization of advanced manufacturing processes. The techniques introduced in this course can find wide applications in manufacturing industries such as ship/fuselage assembly process. This course will provide the students with understanding of the fundamental and advanced data analytics and statistical learning methodologies, and the ability of formulating and solving real problems with the appropriate modeling strategies and statistical principles. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6183) | Th 09:00AM - 11:50AM | Rm 201, W4 | DU, Juan | 20 | 5 | 15 | 0 |
VECTOR | [1-3 credit(s)] |
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DESCRIPTION | Selected topics in smart manufacturing studied under the supervision of a faculty member. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6343) | TBA | TBA | TBA | 20 | 1 | 19 | 0 |
VECTOR | [0-1-0:0] |
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DESCRIPTION | Seminar topics presented by students, faculty and guest speakers. Students are expected to attend regularly and demonstrate proficiency in presentation in accordance with the program requirements. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
---|---|---|---|---|---|---|---|---|
T01 (6192) | 22-JAN-2024 - 14-MAR-2024 Tu 10:30AM - 11:20AM | Rm 228, E2 | ZHANG, Kaihao | 60 | 56 | 4 | 0 | |
15-MAR-2024 - 10-MAY-2024 Tu 10:30AM - 11:20AM | Rm 101, W1 | ZHANG, Kaihao |
DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6134) | TBA | TBA | TBA | 30 | 7 | 23 | 0 |
DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
---|---|---|---|---|---|---|---|---|
R01 (6135) | TBA | TBA | TBA | 80 | 33 | 47 | 0 |