Bachelor of Engineering Technology (Hons) in Precision Engineering

Overview

Precision Engineering program will produce graduates in the field of mechanical engineering specifically focussing on research, design, manufacturing and processing of precision engineering products applied in the automotive, aerospace, information & communication, home appliances and medical equipment industries to name a few. This program involves extensive mechanical design, precision machining, process analysis and assembly techniques of tooling such as dies, moulds, jigs and fixtures, which require highly skilled capabilities.

The use of computer aided technology to realise the design and precision manufacturing of products and tooling is an added advantage for the students to be in pace with the latest trends in the manufacturing industry. Students are also exposed to management and administration modules that shape them up as entrepreneurs who are technologically and also managerially advanced. The duration of the programme is 4 years which includes one semester of industrial training.

Programme Educational Objectives (PEOs)

Major objectives for educational purposes:

• PEO 1
  UniKL graduates who are knowledgeable, competent and innovative and able to contribute towards the human capital in precision engineering related industries.
• PEO 2
  UniKL graduates with effective leadership and team work skills as well as verbal, non-verbal and interpersonal communication skills to support their role in industry.
• PEO 3
  UniKL graduates who are committed to the importance of lifelong learning and continuous improvement.
• PEO 4
  UniKL graduates who practice professionalism with ethics and social responsibility.
• PEO 5
  UniKL graduates who are capable of embarking on business and technopreneurial activities.

Programme Learning Outcomes (PLOs)

Majors in engineering technology will be able to:

• PLO 1
  Apply knowledge of mathematics, science, engineering fundamentals and precision engineering to the defined and applied engineering procedures, processes, systems or methodologies
• PLO 2
  Identify, formulate, research literature and solve broadly-defined engineering problems reaching substantiated conclusions using analytical tools appropriate to precision engineering discipline.
• PLO 3
  Design solutions for broadly-defined precision engineering technology problems and contribute to the design of systems, components or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations
• PLO 4
  Conduct investigations of broadly-defined precision engineering problems; locate, search and select relevant data from codes, data bases and literature, design and conduct experiments to provide valid conclusion
• PLO 5
  Select and apply appropriate techniques, resources and modern engineering tools, including prediction and modeling, to broadly-defined precision engineering activities, with an understanding of the limitations
• PLO 6
  Function effectively as an individual, and as a member or leader in diverse technical teams
• PLO 7
  Communicate effectively on broadly defined engineering activities with the engineering community and with society at large, by being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions
• PLO 8
  Demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities and norms of engineering technology practice
• PLO 9
  Recognize and commit to professional ethics and responsibilities and norms of engineering technology practice
• PLO 10
  Provide explanations on the impact of engineering solutions in a societal context and demonstrate knowledge of and the need for sustainable development
• PLO 11
  Demonstrate an awareness and understanding of management, business practices, and technopreneurial competencies
• PLO 12
  Recognize the need for, and have the ability to engage in independent and lifelong learning