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| DESCRIPTION | This course introduces core smart manufacturing technologies through integrated lectures and hands-on labs. Aimed at developing foundational understanding of data-driven modern production systems, it covers five essential topics: Design for Smart Manufacturing explores product optimization for digital workflows; Additive Manufacturing examines different 3D Printing processes beyond prototyping; Industrial Robotics teaches programming collaborative robots for automation tasks; Industrial Internet of Things addresses sensor networks and real-time data utilization; and Virtual and Augmented Reality Applications demonstrates immersive tools for design and maintenance. Each topic is integrated with a lab session. By the end of this course, students will be able to articulate key components of smart factories, apply skills learned in labsto real-world scenarios, and critically evaluate the impact of these technologies on manufacturing productivity, flexibility, and customization. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6230) | Mo 06:00PM - 07:50PM | Rm 102, E1 | CAI, Yi | 40 | 38 | 2 | 0 | |
| LA01 (6231) | 23-JAN-2026 - 07-FEB-2026 Mo 08:00PM - 08:50PM | TBA | CAI, Yi | 40 | 38 | 2 | 0 | Computer labs will be used in W3, W5 and W10. For other weeks, the lab will be conducted in University computer labs (e.g. E1) and different SMMG's labs (AAM, AHM, etc). Please reach out to SMMG for the venue. |
| 08-FEB-2026 - 28-FEB-2026 Mo 08:00PM - 08:50PM | Rm 228, E1 | CAI, Yi | ||||||
| 01-MAR-2026 - 07-MAR-2026 Mo 08:00PM - 08:50PM | TBA | CAI, Yi | ||||||
| 08-MAR-2026 - 14-MAR-2026 Mo 08:00PM - 08:50PM | Rm 228, E1 | CAI, Yi | ||||||
| 15-MAR-2026 - 11-APR-2026 Mo 08:00PM - 08:50PM | TBA | CAI, Yi | ||||||
| 12-APR-2026 - 18-APR-2026 Mo 08:00PM - 08:50PM | Rm 228, E1 | CAI, Yi | ||||||
| 19-APR-2026 - 11-MAY-2026 Mo 08:00PM - 08:50PM | TBA | CAI, Yi |
| DESCRIPTION | This course studies methods used in additive manufacturing, theories governing additive manufacturing. With the information on materials given, students would be explained the relations between materials to be processed and methods of additive manufacturing, The course also introduces the common machines used for the technology and its applications and business opportunities with future directions. Students will learn to manufacture a 3D part by using some of the methods of additive manufacturing. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6232) | Th 01:30PM - 04:20PM | Rm 201, E1 | CUI, Huachen | 40 Quota/Enrol/Avail For UG year 2 & above students: 40/25/15 | 25 | 15 | 0 |
| PRE-REQUISITE | UFUG 1501 OR UFUG 1503 |
|---|---|
| DESCRIPTION | This course introduces the fundamental principles and techniques of micro- and nanofabrication, including photolithography, etching, deposition, bonding, and packaging. These processes form the technological foundation for the design and manufacturing of microelectromechanical systems (MEMS), as well as for advanced integrated circuits and next-generation electronic devices. In addition, the course explores how micro/nanofabrication enables a wide range of applications—including sensors, actuators, advanced electronics packaging, and other emerging microsystems—highlighting its critical role in modern and future technologies. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6233) | MoWe 09:00AM - 10:20AM | Rm 202, E3 | WANG, Yunda | 40 | 15 | 25 | 0 |
| PRE-REQUISITE | SMMG 3810 |
|---|---|
| DESCRIPTION | This is the continuation of SMMG 3810 to provide students with advanced training in experimental techniques and laboratory procedures, data acquisition, analysis and presentation. The course series aims at offering students an opportunity to face real problems in real manufacturing environments through the application of smart manufacturing methods to support the engineering and management of high-value-added products, the continuous innovation of products and processes, the sustainability of products and production systems along their lifecycle. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| LA01 (6235) | Tu 09:00AM - 11:50AM | Chem Lab-Nobel Lab (W2-224A) | LIU, Shiyuan ZHANG, Yunbo | 14 | 14 | 0 | 0 |
| PRE-REQUISITE | UFUG 1501 or UFUG 1503 |
|---|---|
| DESCRIPTION | In this course, students will learn the fundamental engineering strategies of how products are manufactured from raw materials, including metal shaping, polymer processing, and emerging techniques such as additive manufacturing and biofabrication. Through understanding basic engineering material properties, students will explore the rationale of selecting appropriate manufacturing routes via vase studies. Finally, students will explore how manufacturing systems are optimized for performance and cost, so as to appreciate the integrated nature of design, material, processing, and management in the manufacture of products. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6248) | Tu 06:00PM - 08:50PM | Rm 202, E3 | WANG, Wenyu | 40 | 14 | 26 | 0 |
| VECTOR | [0-0-0:0] |
|---|---|
| PRE-REQUISITE | UFUG 2102 OR UFUG 2103 |
| CROSS CAMPUS COURSE EQUIVALENCE | MECH 4740 |
| DESCRIPTION | 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; and finally (3) to provide an environment where the students can familiarize themselves with many today's popular commercial software systems, such as MATLAB, and their use in the solution of engineering problems. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6249) | MoWe 12:00PM - 01:20PM | Rm 221, W1 | TANG, Kai | 30 | 6 | 24 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | SMMG 6000F |
| DESCRIPTION | This course covers the fundamentals and capabilities in precision engineering, including tool materials, mechanics of cutting, ultra-precision machine elements, micro electro-mechanical systems (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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6164) | Mo 06:00PM - 08:50PM | Rm 222, W1 | CHEN, Mojun | 52 | 52 | 0 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | SMMG 6000P |
| DESCRIPTION | Simulation is the creation of a virtual model of a real-world system or process to study and analyze its behavior under various conditions. It is widely used in industrial systems to optimize design, improve processes, and test scenarios without the cost and risk of physical experimentation. This course will cover basic concepts and theories of simulation, discuss models and applications of discrete-event simulation in manufacturing systems. Students will learn to develop and analyze simulations, and test scenarios of real-world industrial systems. Additionally, this course will introduce the emerging concept of the digital twin and reinforcement learning in Smart Manufacturing, preparing students for opportunities in the evolving industrial revolution. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6764) | We 09:00AM - 11:50AM | Rm 105, E3 | GUO, Daqiang | 20 | 6 | 14 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| EXCLUSION | MSSM 5002 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6165) | We 09:00AM - 11:50AM | Rm 202, W2 | ZHANG, Kaihao | 20 | 16 | 4 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course covers the integration of industrial robotics with modern manufacturing industries. Basic theories like structure, forward and inverse kinematics, velocities and static forces, and trajectory and motion planning of robots will be introduced in this course. For some specific manufacturing scenarios, e.g., materials handling, processing (multi-axis milling, additive manufacturing, grinding, etc.), assembly, and inspection, some essential technologies like image processing and analysis and path planning in multi-axis milling and 3D printing will also be elaborated in detail. Students interested in industrial robots, especially the kinematics, motion and trajectory control, and computer vision of industry robots in the modern manufacturing industry, are encouraged to take this course. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6182) | Tu 06:30PM - 09:20PM | Rm 122, E1 | HU, Pengcheng | 55 | 48 | 7 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | In the era of Smart Manufacturing, manufacturing industries are undergoing transformation towards increased production efficiency, higher autonomy, and enhanced flexibility to achieve product mass customization. Modern manufacturing systems are expected to become highly automated and intelligent in handling complex tasks, empowered by integrating technical elements such as artificial intelligence (AI), the Industrial Internet of Things (IIoT), cloud computing, and industrial robots. However, certain manual operations still exist on the shop floor that are either impractical or impossible to accomplish without human intervention. To bridge humans and machines, Augmented/Virtual Reality (AR/VR) is considered a pivot to provide the immersive experience, the in-situ simulation, and a hub for other relevant techniques, such as AI and data analytics. This course aims to help graduate students understand the latest developments and critical challenges of augmented/virtual reality and their applications in smart manufacturing and provide students with related techniques and practical experience in developing applications based on AR/VR in the context of smart manufacturing. The target audience of the course is students in broad engineering/computing programs. The course will prepare the students for advanced careers related to smart manufacturing and the development of AR/VR applications. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6184) | Mo 01:30PM - 02:50PM | E2-3F CMA Lab HCI Lab | ZHANG, Yunbo | 20 | 17 | 3 | 0 | |
| Fr 09:00AM - 10:20AM | Rm 201, W1 | ZHANG, Yunbo | ||||||
| L02 (6185) | TBA | TBA | TBA | 0 | 0 | 0 | 0 | L02 enrollment will be considered once the number of students in L01 is full. The quota limit for L02 is 18. |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | The course begins with a thorough examination of various composite material types and property prediction methods, essential for material selection and engineering design. This is followed by a rigorous analysis of laminated composites, covering micromechanics, homogenization techniques for determining effective stiffness properties, and the development of damage and failure theories. Students will apply classical laminated plate theory to design and analyze composite plates under bending, tension, compression, and hygrothermal loading conditions. Furthermore, the course introduces and demonstrates advanced composite manufacturing and fabrication techniques, alongside non-destructive evaluation and repair methodologies, and relevant testing procedures. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6186) | MoWe 09:00AM - 10:20AM | Rm 201, W2 | JOHNSON, SHANE MIGUEL | 40 | 7 | 33 | 0 |
| VECTOR | [1-3 credit(s)] |
|---|---|
| DESCRIPTION | Selected topics in smart manufacturing studied under the supervision of a faculty member. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6781) | TBA | TBA | TBA | 20 | 3 | 17 | 0 |
| VECTOR | [1 credit] |
|---|---|
| DESCRIPTION | Selected topics in smart manufacturing studied under the supervision of a faculty member. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6782) | TBA | TBA | TBA | 20 | 1 | 19 | 0 |
| VECTOR | [0-1-0:0] |
|---|---|
| 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 (6188) | Th 03:00PM - 03:50PM | Rm 101, W1 | GUO, Daqiang | 100 | 75 | 25 | 0 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| R01 (6026) | TBA | No room required | TBA | 50 | 15 | 35 | 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 (6028) | TBA | No room required | TBA | 100 | 46 | 54 | 0 |