Postgraduate Courses

This course covers selected topics of current interest in additive manufacturing. Students will study 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.

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.

This is a course in Design for Manufacturing and Assembly (DFMA) that focuses on the principles and techniques involved in designing products for efficient and cost-effective manufacturing and assembly processes. This course aims to equip students with the knowledge and skills necessary to optimize the design of products, considering factors such as ease of manufacturing, assembly, and overall product quality.

This course 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.

This course will introduce the students to an in-depth modeling and analysis of the workflow dynamics that shape the operation and the performance of contemporary production systems. It will develop systematic and rigorous models for the study of the considered environments. It aims to fill the need for an accessible but comprehensive presentation of the analytical approaches for modeling and analyzing models of manufacturing and production systems.

The course discusses the principles of sustainability with manufacturing processes. It covers from the social to technological impact of sustainable manufacturing. The evaluation system and tools used for sustainable manufacturing will be introduced. It also contains a business case study of sustainable manufacturing. Students will learn how to manage manufacturing systems that minimize environmental impact while maintaining economic viability and ensuring social responsibility.

This course covers the technical and experiential design foundation required for the implementation of immersive environments in current and future virtual, augmented, and mixed reality platforms. It also highlights the applications of these technologies under the manufacturing environment. The curriculum covers a wide range of literature and practice starting from the human-computer interface concepts following the evolution of all supporting technologies including visual displays for VR, AR and MR, motion tracking, interactive 3D graphics, multimodal sensory integration, immersive audio, user interfaces, IoT, games and experience design, focusing on manufacturing-related scenarios.

This course covers topics such as curves and surfaces, geometric modeling basics, data structures in CAD/CAM, optimization, numerical control technology, numerical control machining, and projects. In addition to lectures, a 3-hour lab in SolidWorks and MATLAB programming will be offered.

This course is intended for teaching numerical methods for engineering students at the postgraduate 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 and their use in the solution of engineering problems.

This course covers the contents of the principle and applications of Computerized Numerical Control (CNC), like the fundamental technologies of numerical control (including interpreter, interpolator, control of acceleration and deceleration, and position control system), and the characteristics and industrial applications of typical CNC controllers and CNC machine tool.

In this course, students will delve into the intricate world of microfabrication technologies, including key processes such as photolithography, etching, deposition, and more. These techniques, used in integrated circuit (IC) fabrication, are adapted and extended to address the unique challenges posed by Microelectromechanical Systems (MEMS) design and manufacturing. The processes are explored both theoretically and practically, enabling students to develop the skills necessary for research-level prototyping and industry-scale production of MEMS. Furthermore, this course delves into the integration of MEMS and ICs, discussing the advantages and exploring different levels of integration. These discussions are complemented by detailed case studies of several MEMS devices, revealing their real-world applications and the associated micro-fabrication processes.

This course provides an in-depth understanding of the principles and techniques used in precision engineering, including tool materials, mechanics of cutting, ultra-precision machine elements, MEMS and nanoscale additive manufacturing. Based on these accumulations, this course also covers topics such as the industry growth, global state and the future of precision engineering.

This course introduces students to wide fundamental concepts, techniques, and technologies in robotics-enabled manufacturing automation and optimization. The course covers wide topics including robot kinematic and dynamic modeling, GPU-based solid modeling, control system design, sensors and perception, motion planning, and process control. Students will explore integrating robotic techniques into the manufacturing process to enable design automation and optimization for smart manufacturing.

An independent research project related to Smart Manufacturing carried out under the supervision of faculty members. Grade PP, P or F.

The Industry Internship Project provides students with the opportunity to apply their theoretical knowledge and academic training to real-world manufacturing environments, allowing them to gain practical experience and witness the application of smart manufacturing concepts in action. Students are required to complete an industry internship with a duration of 6 months. The internship consists of two parts. In MSSM 6001, students are required to submit a mid-term progress report for review by the academic and industry supervisors. Graded PP, P or F.

The Industry Internship Project provides students with the opportunity to apply their theoretical knowledge and academic training to real-world manufacturing environments, allowing them to gain practical experience and witness the application of smart manufacturing concepts in action. Students are required to complete an industry internship with a duration of 6 months. The internship consists of two parts. In MSSM 6002, students are required to submit a final internship report for review by a committee consisting of the academic and industrial supervisors, and the Program Director. Graded P or F.

Students are required to undertake a capstone project in the last term of the program. The capstone project should generally be combined with the industry internship training and coursework study, with a duration of a regular term. By the end of the term, students need to finish and submit a project report and give a defense presentation. Graded P or F.