MECH3010/4410 Engineering and Technology Management
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  • Dept of Mech Engg
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    Level: 3 / 4
    Credit Unit: 6
    Duration: Second semester
    Contact Hours: 3 hours per week
    Prerequisite: None
    Calendar Entry: Introduction to engineering management; functions of technology management including planning and forecasting, decision making and analysis, organizing, leading and motivation, and controlling; managing technology including research and development, engineering design, production activity and operations, marketing and service activities; quantitative analysis for management including inventory control, linear programming and queuing theory.
    Assessment Methods: Examination (80%); in-couse assessment (20%)
    Course Website:

    Educational Objectives:

    • To master the fundamental concepts of engineering management necessary to bridge the gap between the management and technology.
    • To provide the students with an opportunity to enhance their understanding with hands-on-skill to problem solving for decision making in different technical operations.
    • To introduce managerial models that implement qualitative as well as quantitative analysis to assist the students to improve their ability and skills to analyze decision making problems.
    Learning Outcomes:
    • Able to apply knowledge of mathematics, science, and engineering appropriate to engineering and technology management.
    • Able to identify, formulate and solve engineering problems.
    • Able to use the techniques, skills, and modern engineering tools necessary for engineering practice appropriate to engineering and technology management.
    Course Content:

    Lectures will be conducted to explain and discuss various managerial theories and techniques for effective engineering and technology management. Other activities include homework assignments, readings, case studies on real-life cases, group projects and quizzes. Class participation (including arriving on-time) is an integral part of the learning process. Doing the readings prior to class is recommended. Professional attitude and behaviour is expected in class, tutorials and all activities related to the course.

    Engineering Applications

    The course is designed for engineering students to understand the fundamental concepts of engineering and technology management and study the applications for industrial and organizational decision-making practice. The assignments, cases studies and group projects are designed in such a way to allow students to have the opportunities to exercise their engineering knowledge for better technology management practice. The course illustrates working techniques that involve managerial problems, discusses the assumptions and limitations of different decision models, and shows the real-world applications in profit-making technical organizations.

    Special Relationship and Integration with Other Courses

    The course is designed to give students some exposure to engineering and technology management problems and practices in industry. It will enhance studentsí learning experiences gained through their experiential learning course on industrial training.


    • Adam, E. E., Jr. and Ebert, R. J., 1992. Production and Operations Management: Concepts, Models, and Behavior, 5th ed., Prentice Hall, Englewood Cliffs, NJ. [658.5 A19]
    • Amrine, H. T., et al., 1993. Manufacturing Organization and Management, 6th ed., Prentice Hall, Englewood Cliffs, NJ. [658.5 A52]
    • Chang, C. M., 2005. Engineering Management: Challenges in the New Millennium, Pearson Prentice Hall, Upper Saddle River, NJ. [624.068 C45]
    • Dhillon, B. S., 2002. Engineering and Technology Management Tools and Applications, Artech House, Boston. [620.0068 D53][ebook via EBSCOhost ebook]
    • Gilboa, I., 2011. Making Better Decisions: Decision Theory in Practice, Wiley-Blackwell, Chichester, West Sussex and Malden, MA. [658.403 G46]
    • Morse, L. C. and Babcock, D. L., 2014. Managing Engineering and Technology, 6th ed., Prentice-Hall, Pearson Higher Education, Inc., Upper Saddle River, NJ. [658.002462 M884 m26]
    • Peterson, M., 2009. An Introduction to Decision Theory, Cambridge University Press, New York. [519.542 P485 i61]
    • Render, B., Stair Jr. R. M. and Hanna, M. E., 2012. Quantitative Analysis for Management, 11th ed., Prentice-Hall, Pearson Higher Education, Inc., Upper Saddle River, NJ. [658.403 R397 q17]
    • Snell, S. and Bohlander, G., 2013. Managing Human Resources, 16th ed., South-Western, Mason, Ohio. [658.3 B676]
    Web Links:


    | Created: Oct 2013 | Update: 11 Jan 2015 | By: |
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