UG Courses offered in Spring 2019-2020 (Operations Management)

ISOM 2500   Business Statistics 3 Credits

L1-L2, L3, L4-L5, L6

Collection, tabulation and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; correlation and regression analysis.

ExclusionInstructorClass Hours
CIVL 2160, IEDA 2510,
LIFS 3150, MATH 2411,  
MATH 3423
Prof. Kris PAN,
Prof. Xuhu WAN,
Prof. Lucy XIA,
Prof. Lancelot JAMES  

(L1)  MoWe  1030-1150 - Rm 4619, Lift 31-32
(L2)  Mo       1330-1450 - G012, LSK Bldg.
         Fr        0900-1020 - G012, LSK Bldg.
(L3)  TuTh    1200-1320 - Rm2465, Lift 25-26               
(L4)  TuTh    0900-1020 - Rm2306, Lift 17-18
(L5)  TuTh    1500-1620 - Rm2502, Lift 25-26
(L6)  MoWe   1200-1320 - Rm 1104                                     

ISOM 2600   Introduction to Business Analytics1 Credit

L1-L2, L3, L4, L5-L6

This course introduces students with the foundation needed to apply data analytics to real-world challenges they will confront in their future career. It covers statistical tools in descriptive analytics and predictive analytics, including multiple linear regression, logistic regression and clustering. Emphasis is placed on applications, concepts and interpretation of results, rather than theory and calculations. Students use a computer software for data analysis. For SBM students only.

Pre-requisiteCo-requisiteInstructorClass HoursRemarks
ISOM 2500   ISOM2020  Prof. Kris PAN,
Prof. Inchi HU,
Prof. Xuhu Wan,
Prof. Lilun DU

(L1)  We  1400-1550 - LTF
(L2)  Tu   1600-1750 - LTG
(L3)  Th   1500-1650 - Rm2306, Lift 17-18               
(L4)  Tu   1330-1520 - Rm2465, Lift 25-26
(L5)  Mo  1500-1650 - Rm2306, Lift 17-18
(L6)  Mo  1000-1150 - Rm4620, Lift 31-32
(LA1)  We  1130-1220 - G021, LSK Bldg.
(LA2)  Fr    0900-0950 - G021, LSK Bldg.
(LA3)  Mo  1830-1920 - G005, LSK Bldg.
(LA4)  We  1630-1720 - G005, LSK Bldg.
(LA5)  Fr    1200-1250 - G005, LSK Bldg.
(LA6)  Th   1030-1120 - G005, LSK Bldg.
(LA7)  Tu   1030-1120 - G005, LSK Bldg.

 Add/Drop Deadline :


ISOM 2700 Operations Management 3 Credits


For SB&M students, and programs that designate the course as a required/recommended elective course. Production and service operations viewed from the strategic, tactical and operational levels; capacity planning, process selection, impact of technology location and layout, material and resource requirements, scheduling and quality control.

ExclusionInstructorClass HoursClass Attributes
IEDA 4100

Prof. Ronald LAU 

(L1)  Th  1630-1750 - LTE
(L2)  Fr   1500-1620 - LTJ
(L3)  Th  1200-1320 - LTE  
(L4)  Fr   1630-1750 - G010, CYT Bldg.  
 [BLD] Blended learning

ISOM 3710 Business Modeling and Optimization 4 Credits


The science and technology of informed decision making with focus on optimizing business processes. Spreadsheet decision modeling in Excel will be used throughout. Emphasis on problem formulation, spreadsheet-based solution methods, and managerial insights. Applications to managerial decision problems in diverse industries and functional areas including finance and accounting, human resource, marketing, and operations.

ExclusionInstructorClass Hours
CIVL2170, IEDA 3010; 
Prof. Shu Ming NG  

(L1) WeFr   1500-1620 - G005, LSK Bldg.
(L2) WeFr   1630-1750 - G021, LSK Bldg.
(T1) Fr       1200-1250 - G021, LSK Bldg.  
(T2) Fr       1100-1150 - G021, LSK Bldg. 

ISOM 3730 Quality and Process Management 4 Credits


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.

ExclusionInstructorClass HoursClass Attribute
IEDA3270  Prof. Ki Ling CHEUNG 

(L1)  Mo    0900-1020 - Rm5620, Lift 31-32
(L2)  Tu    1500-1620 - Rm5620, Lift 31-32
(T1)  Mo  1330-1420 - Rm1007, LSK Bldg.

 [BLD] Blended learning

ISOM 3760 Logistics Management 3 Credits

Management of purchasing and distribution of goods and services; supply management; material handling; pricing; transportation and warehousing; customer service standards. Second or third year standing preferred.

PrerequisiteExclusionInstructorClass Hours
ISOM2700 IEDA3450 Prof. Man YU TuTh   1630-1750 - Rm2504, Lift 25-26

ISOM 3770 Global Supply Chain Management 4 Credits


[Previous Code: ISOM4770] Single node inventory control, supply chain network, demand management, manufacturing and replenishment in supply chains, information and coordination in supply chains, product variety management. 

PrerequisiteExclusionInstructorClass HoursClass Attributes
 ISOM2700 AND ISOM3710    IEDA4110   Prof. Ki Ling CHEUNG   (L1)  Mo  0900-1020 - Rm.5620, Lift31-32 
(L2)  Th   1500-1620 - Rm.4582, Lift27-28
(T1)  Tu   1800-1850 - Rm1104

[BLD] Blended learning

ISOM 3900 Decision Analytics 3 Credits


This course helps the students develop better analytical skills in approaching strategic and tactical business decisions. Students will learn to derive solutions or conclusions that require critical thinking, quantitative analysis, and statistical reasoning skills. These skills are essential and indispensable for major business decisions.

PrerequisiteInstructorClass Hours
Prof. Man YU (L1) TuTh    0900-1020 - Rm1034, LSK Bldg
(L2) TuTh    1030-1150 - Rm1034, LSK Bldg

ISOM 4520 Statistics for Financial Risk Management 4 Credits

This course provides an introduction to financial risk management.  Topics include how to measure market risks, statistical properties of returns and volatility, volatility modeling, Value at Risk (VaR), Risk Metrics, historical simulation, assessing VaR methods and stress testing.  Theories will be illustrated by practical examples in financial markets.

(Note: Students who have sufficient background in probability but without pre-requisite may enroll in the course upon approval by the instructor)

PrerequisiteInstructorClass Hours
ISOM 3540   Prof. Mike SO 

(L1) Tu    1500-1750 - Rm10034, LSK Bldg.
(T1) Tu    1300-1350 - G021, LSK Bldg

ISOM 4540 Time Series Analysis and Forecasting 4 Credits

Review of regression and its application to forecasting problems; moving averages, exponential smoothing, Box-Jenkins, ARIMA models and transfer function models; forecasts of economic, financial and business time series.

PrerequisiteExclusionInstructorClass Hours
ISOM 2500 or
MATH 2411
ECON 4304,
MATH 4425
Prof. Inchi HU (L1) MoWe  0900-1020 - Rm1014, LSK Bldg.
(T1) We      1030-1120 - G021, LSK Bldg.

ISOM 4750 Business Project Management 3 Credits

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.

PrerequisiteInstructorClass Hours
ISOM2700 Prof. Qing LI

Mo    1200-1320 - G005, LSK Bldg
We    1200-1320 - Rm1010, LSK Bldg

ISOM 4780 Integrated Planning and Execution 3 Credits

[Previous Code: ISOM4850] This course will use an integrated simulation game as a major learning tool to illustrate how strategic and operational decisions should be made in a competitive business environment. Students will learn to integrate and align key decisions in different business functions to simultaneously achieve a set of defined performance objectives of a company by evaluating decision alternatives and tradeoffs as well as optimizing the resource utilization.

PrerequisiteExclusionInstructorClass Hours
ISOM2700  ISOM2040 Prof. Ronald LAU

Mo    1500-1750 - Rm1003, LSK Bldg

ISOM 4810 OM Best Practices 3 Credits

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.

PrerequisiteInstructorClass Hours
ISOM2700  Prof. Qing LI MoWe    1030-1150 - Rm1010, LSK Bldg

ISOM 4880 Operations Management Project 3 Credits

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.

InstructorClass Hours
Prof. Ronald LAU TBA