| 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 | LIU, Shiyuan ZHANG, Yunbo | 20 Quota/Enrol/Avail SMMG UG students: 20/0/20 | 0 | 20 | 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-L3 HCI Lab | ZHANG, Yunbo | 18 Quota/Enrol/Avail MSc(SMMG) Students: 10/0/10 | 0 | 18 | 0 | |
| Fr 09:00AM - 10:20AM | Rm 201, W1 | ZHANG, Yunbo | ||||||
| L02 (6185) | Mo 03:00PM - 04:20PM | E2-L3 HCI Lab | ZHANG, Yunbo | 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. |
| Fr 10:30AM - 11:50AM | Rm 201, W1 | ZHANG, Yunbo |