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ISOM 1500
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Decisions by the Number |
[3 Credits] |
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[Previous Course Code: ISOM150] The course helps
students develop better analytical and decision making
skills in approaching practical and important social and
business issues. Students will derive solutions or
conclusions that require critical thinking, creativity,
quantitative analysis, and common sense. Cover topics in
decision traps, quantitative decision models, statistical
reasoning, computer tools, data-analysis techniques, etc.
and, more importantly, how these decision analysis concepts
and tools can be applied in a broad set of social and
business problems. |
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Instructor: |
Prof. Ronald LAU |
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Class Hours: |
Mon & Wed 0900-1020 - Rm. 3008 |
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ISOM 2500 |
Business Statistics |
[3 Credits] |
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L1_L4
L2-L3_L5
L6-L7
L8-L9
L10 |
[Previous Course Code(s): ISOM111/SMT111] Collection, tabulation and presentation of numerical
data; concepts of probability and probability distributions;
sampling; statistical estimation and hypothesis testing;
correlation and regression analysis. |
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Exclusions: |
LIFS 3150, CIVL 2160, MATH
2411, MATH 3423, IELM 2510 |
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Instructor: |
Prof. Inchi HU, Prof. Anthony CHAN, Prof. Xuhu WAN, Prof.
Yingying LI and Prof. Xinghua ZHENG. |
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Class Hours: |
(L1) Mon & Wed 0900-1020 - RM. 2306
(L2) Tue & Thu 1200-1320 -
Rm. 2306
(L3) Tue & Thu 1500-1620 -
Rm. 2306
(L4) Wed & Fri 1630-1750 -
Rm. 2407
(L5) Tue & Thu 1630-1750 -
Rm. 2464
(L6) Tue & Thu 1500-1620 - LTK
(L7) Tue & Thu 1330-1450 -
LTK
(L8) Wed & Fri 1630-1750 - Rm. 4620
(L9) Mon 1330-1450 - Rm. 2306
Fri
0900-1020 - Rm. 2464
(L10) Mon & Wed 1030-1150 - Rm. 2306 |
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ISOM 2720 |
Introduction to Operations Management |
[3 Credits] |
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[Previous Course Code(s): ISOM162/ISMT162] For non-SB&M students. This course covers basic
concepts and practices in production and service operations at
the strategic, tactical and operational levels. Topics include
product and process design, location and layout decisions,
material requirements, resource planning, scheduling, and
quality control. |
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Exclusions: |
ISOM2700, IEEM4100 |
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Instructor: |
Prof. Shu Ming NG |
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Class Hours: |
Tue & Thu 1200-1320 - LTA |
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Textbook: |
“Operations and Supply Management: The core”,
by Jacobs & Chase; Latest edition; McGraw Hill. |
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ISOM 3540
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Introduction to Probability Models |
[3 Credits] |
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[Previous Course Code(s): ISOM254/ISMT254] Probabilities,
random variables, distribution functions, densities,
expected values, conditional distributions and densities,
conditional expectations, moment generating functions,
Chebyshev's inequality, central limit theorem, and Poisson
processes. |
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Exclusion: |
MATH2421, MATH3425 |
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Prerequisite: |
ISOM2500 or MATH2411 |
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Instructor: |
Prof. Xinghua ZHENG |
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Class Hours: |
(L1)
Mon 1330 - 1450 - Rm. 4503
Fri 0900 - 1020 - Rm. 4503
(L2) Wed & Fri 1630-1750 - Rm. 4504 |
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ISOM 3710
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Management Science |
[4 Credits] |
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[Previous Course Code(s): ISOM271/ISMT271] Introduction to scientific approaches to informed
decision making and technical methods for managerial problem
solving; spreadsheet modeling in Excel is used throughout; two
important frames: constrained optimization and decisions under
risk; emphases on model formulation and solution
interpretation; applications to a wide variety of management
situations.
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Exclusion: |
IEEM 3010 |
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Instructor: |
Prof. Shaohui ZHENG |
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Class Hours: |
(L1)
Tue
& Thu 1200-1320 - Microsoft .Net Lab (Rm. 4116)
(L2) Tue & Thu 0900-1020 - Microsoft .Net Lab (Rm. 4116)
(T1) Mon 0930-1020 - Microsoft .Net Lab (Rm. 4116)
(T2) Mon 1200-1250 - Microsoft .Net Lab (Rm. 4116) |
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Textbook: |
“Spreadsheet Modeling and
Applications”, by Albright; Thomson Learning
Incoporation. |
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ISOM 3730
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Quality and Process Management
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[4 Credits] |
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[Previous Course Code(s): ISOM263/ISMT263] Concepts and strategic importance of quality,
organizational aspects, total quality control, quality and
productivity improvement programs, quality costs and
economics. Applications in industrial and service sectors.
Second or third year standing preferred. |
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Exclusion: |
IEEM3270 |
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Instructor: |
Prof. Ki Ling CHEUNG |
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Class Hours: |
(L1) Tue & Thu 0900-1020 - Rm. 4006
(L2) Wed & Fri 1630-1750 - Rm. 4006
(T1) Fri 1800-1850 - Rm. 3007
(T2) Tue 1730-1825 - Rm. 3007 |
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Textbook: |
“Managing Quality Integrating the Supply Chain", by
S. Thomas Foster; Fourth Edition; Pearson. |
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ISOM 4740 |
Enterprise Resource Management |
[3 Credits]
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[Previous Course Code(s): ISOM364/ISMT364] Basic concepts
and practices of enterprise resource management; popular
enterprise resource planning software packages, such as SAP
R/3 for discussing and building integrated business
solutions.
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Prerequisite: |
ISOM 2700 |
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Instructor: |
Prof. Ronald LAU |
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Class Hours: |
Mon & Wed 1030-1150 - Microsoft
.Net Lab. ( Rm. 4116) |
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ISOM 4750 |
Business Project Management |
[3 Credits] |
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[Previous Course Code: ISOM365/ISMT365, ISMT369I]
This course covers basic principles and practices of project
management. Special emphases are on project planning,
scheduling, and control while addressing both the technical
and the social aspects of managing business projects. |
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Prerequisite: |
ISOM2700 |
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Instructor: |
Prof. Qing LI |
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Class Hours: |
Wed &
Fri 1630-1750 - Microsoft
.Net Lab. ( Rm. 4116) |
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ISOM 4810 |
OM Best
Practices |
[3 Credits] |
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[Previous Course Code: ISOM369A] In this
course, students shall study 12 applications in OM that have
been judged by peers as being amongst the best in recent
years. Students shall try to understand what the problem
was, how it was addressed, how it worked out and attempt to
learn what marked it as a success and how portable the
practice can be. The principle purpose is to expose students
to a wide range of good case histories in order to enhance
their repertoire and experience in OM. |
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Prerequisite: |
ISOM2700 |
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Instructor: |
Prof. Qing LI |
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Class Hours: |
Wed &
Fri 1500-1620 - Rm. 2406 |
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ISOM 4880 |
Operations
Management Project |
[3 Credits] |
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[Previous Course Code(s): ISOM388/ISOM369B] This
course is offered to those students who are interested in
applying what they have learned in other OM courses to solve
real business problems for a sponsoring corporation.
Recommendation and/or implementation of solutions will be
made through the use of operations management concepts,
techniques, and tools. Students will work as a group and be
supervised by faculty members. Enrollment in this course
requires the approval of course instructor. |
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Instructor: |
Prof. Ronald LAU |
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Class Hours: |
LA1 |
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