Teacher: LIAU CHUNG FAN Encik

This course provides students the opportunity to apply and develop their design, analytical, project management, interpersonal, and communication skills through a team-based project experience. Students develop their teamwork skills, learn about the product development process used in industry, and are made aware of the unique requirements and constraints of product design. Several project deliverables, similar to those used in industry, are required.The major component of the course is a design project that is managed by a team of three to five students for an entire semester. During the semester, project teams identify customer needs, develop potential designs, construct and test prototypes, and deliver a design and/or working prototype to their clients. Project teams develop project schedules, maintain project notebooks, conduct economic and risk analyses of their design solutions, and develop and present written and oral project proposals and final reports.

Teacher: PUNGUT BIN IBRAHIM Profesor Madya Ir.

Teacher: PUNGUT BIN IBRAHIM Profesor Madya Ir.

Teacher: YOONG HOU PIN Dr.

Teacher: CHAI CHANG YII Dr.

Teacher: CHAI CHANG YII Dr.

Teacher: BABLU KUMAR GHOSH Dr.Teacher: CHAI CHANG YII Dr.

Teacher: CHAI CHANG YII Dr.

Teacher: CHAI CHANG YII Dr.

Teacher: BABLU KUMAR GHOSH Dr.Teacher: CHAI CHANG YII Dr.

Teacher: TAN MIN KENG Ts. Dr.

Teacher: TAN MIN KENG Ts. Dr.

This course introduces the principles of artificial intelligence. Topics include Rule-based (Fuzzy Logic), Learning-based (Artificial Neural Networks & Q-Learning) and Evolutionary-based (Genetic Algorithm & Particle Swarm Optimisation) algorithms. The techniques are implemented for the purposes of precision control, knowledge processing and smart perception. Programming language, such as Matlab m-file and C will be introduced to facilitate the practical solutions of the machine learning-based problems.

Teacher: ISMAIL SAAD Profesor Madya Ir. Ts. Dr.

This elective course is designed for students majoring in electrical and electronic engineering with a focus on micro/nanoelectronics. The course aims to provide an overview of the semiconductor industry and the production of integrated circuits (ICs) for various electronic circuit applications, particularly very large scale IC (VLSI) technology. Students will learn about the fabrication of transistor devices in designated clean rooms, as well as the evolution of microprocessor systems towards ultra-scaled IC (ULSI) technology, which comprises up to 7.5 million transistors on a single chip.

The course will also cover essential knowledge of layout design rules for complementary metal-oxide-semiconductor (CMOS) inverters, a fundamental component of circuit manufacturing. The stick diagram method will be used to explore this topic. Additionally, students will learn about the modeling of MOSFET devices based on their physical characteristics, using MatLab software to create insightful models.

The course will also delve into the properties of semiconductor materials and their chemical reactions in device manufacturing. Topics covered will include crystal structure, crystal growth, epitaxial techniques, chemical vapor deposition (CVD), oxidation, diffusion, ion implantation, photolithography, and fabrication processes for MOS, BJT, and other types of transistors.