Contents
Related:
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Welcome
to
Our Course Website!
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Level: |
3 / 4
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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: |
http://me.hku.hk/bse/MECH3010/ |
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 students’
learning experiences gained through their experiential
learning course on industrial training.
References:
- 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
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