ZHANG, Yunbo - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

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COURSE INFO

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.

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.

SMMG 3820 - Smart Manufacturing Laboratory II (2 units)

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

COURSE INFO

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.

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.

SMMG 6000R - AR/VR Techniques and Applications in Smart Manufacturing (3 units)

Section	Date & Time	Room	Instructor	Quota	Avail	Remarks
L01 (6184)	Mo 01:30PM - 02:50PM	E2-L3 HCI Lab	ZHANG, Yunbo	18 Quota/Enrol/Avail MSc(SMMG) Students: 10/0/10	18
L01 (6184)	Fr 09:00AM - 10:20AM	Rm 201, W1	ZHANG, Yunbo	18 Quota/Enrol/Avail MSc(SMMG) Students: 10/0/10	18
L02 (6185)	Mo 03:00PM - 04:20PM	E2-L3 HCI Lab	ZHANG, Yunbo	0	0	L02 enrollment will be considered once the number of students in L01 is full. The quota limit for L02 is 18.
L02 (6185)	Fr 10:30AM - 11:50AM	Rm 201, W1	ZHANG, Yunbo	0	0