Intelligent Manufacturing Engineering

This major emphasizes the integration of basic knowledge in intelligent manufacturing systems, innovative process design and automation, advanced manufacturing technologies, systems modeling and optimization, and quality and reliability engineering, with particular emphasis on electronics and semiconductor manufacturing. This multi-disciplinary program aims to produce graduates capable of using cutting-edge engineering knowledge, computational, experimental and analytical techniques to plan, design, implement and improve technology-based manufacturing and operations systems and enterprises.

Upon successful completion of this major, students should be able to:

1. Apply knowledge of mathematics, science, engineering, and intelligent manufacturing engineering to analyze and improve operations systems and enterprise performance, particularly in electronics and semiconductor manufacturing.
2. Design and conduct experiments, analyze, and interpret data relevant to the planning, processes, logistics, and operations systems in an enterprise, specifically in electronics and semiconductor manufacturing.
3. Design processes, systems, products, and services to meet desired needs within realistic constraints such as economic, environmental, health and safety, manufacturability, and sustainability.
4. Function effectively and responsibly in multidisciplinary teams to achieve synergistic benefits.
5. Identify, evaluate, formulate, and solve engineering problems relevant to the planning, processes, logistics, and operations systems in an enterprise, and undertake projects of discovery and innovation.
6. Explain professional and ethical responsibilities.
7. Stay abreast of contemporary issues in intelligent manufacturing engineering.
8. Demonstrate effective communication skills.
9. Understand the impact of engineering solutions in a broad, global, and societal context.
10. Recognize the need for, and demonstrate an ability to engage in, lifelong learning.
11. Use necessary engineering and IT skills and tools for engineering practice, discovery, and innovation.