Operations Management
ISOM 2500 Business Statistics
3 Credits
Collection, tabulation and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; correlation and regression analysis.
| EXCLUSION | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| CIVL 2160, IEDA 2520, IEDA2540, LIFS 3150, MATH 2411, MATH 3423 |
Prof. Jason HO, Prof. Lilun DU, Prof. Xuhu WAN, Prof. Lancelot JAMES |
(L1) Mo 1330-1450 - Rm 2407, Lift 17-18 |
ISOM 2600 Introduction to Business Analytics
1 Credit
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-REQUISITE | CO-REQUISITE | INSTRUCTOR | CLASS HOURS |
|---|---|---|---|
| ISOM 2500 | ISOM2020 | Prof. Kris PAN, Prof. Xuhu Wan |
28-Mar-2022 - 11-May-2022 (L1) Th 1600-1750 - LTE (LA1) Mo 1030-1120 - G005, LSK Bldg |
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.
| EXCLUSION | INSTRUCTOR | CLASS HOURS | CLASS ATTRIBUTES |
|---|---|---|---|
| IEDA 4100 |
Prof. Ronald LAU |
(L1) WeFr 1500-1620 - Rm. 2464, Lift 25-26) |
[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.
| EXCLUSION | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| CIVL2170, IEDA 3010; PHYS4059 |
Prof. Hongtao ZHANG |
(L1) TuTh 1200-1320 - G021, LSK Bldg |
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.
| PREREQUISITE | EXCLUSION | INSTRUCTOR | CLASS HOURS |
|---|---|---|---|
| ISOM2700 | IEDA3450 | Prof. Man YU |
Mo 1330-1450 - Rm. 2504, 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.
| PREREQUISITE | EXCLUSION | INSTRUCTOR | CLASS HOURS | CLASS ATTRIBUTES |
|---|---|---|---|---|
|
ISOM2700 |
IEDA4110 | Prof. Ki Ling CHEUNG | (L1) Tu 1030-1150 - Rm.5619, Lift 31-32 (L2) Fr 0900-1020 - Rm.4582, Lift 27-28 (L3) Th 1030-1150 - Rm.4582, Lift27-28 (L4) Mo 1030-1150 - Rm.4582, Lift 27-28 (T1) We 1800-1850 - Rm.2303, Lift 17-18 (T2) Fr 1100-1150 - Rm.2303, Lift 17-18 |
[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.
| PREREQUISITE | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| ISOM2500 AND ISOM2700 |
Prof. Man YU | (L1) WeFr 1500-1620 - Rm. 1034, LSK Bldg (L2) WeFr 1630-1750 - Rm. 1034, 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.
| PREREQUISITE | EXCLUSION | INSTRUCTOR | CLASS HOURS |
|---|---|---|---|
| ISOM 2500 or MATH 2411 |
ECON 4304, MATH 4425 |
Prof. Jason HO | (L1) MoWe 0900-1020 - Rm.2504, Lift 25-26 (T1) Th 1830-1720 - 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.
| PREREQUISITE | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| ISOM2700 | Prof. Qing LI |
Mo 1200-1320 - Rm.1010, LSK Bldg |
ISOM 4780 Integrated Planning and Execution
3 Credits
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.
| PREREQUISITE | EXCLUSION | INSTRUCTOR | CLASS HOURS |
|---|---|---|---|
| ISOM2700 | ISOM2040 | Prof. Ronald LAU |
Th 0900-1150 - Rm.1001, 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.
| PREREQUISITE | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| ISOM2700 | Prof. Ronald LAU | MoWe 1030-1150 - Rm.1010, LSK Bldg |
ISOM 4830 Analytics for Service Operations
3 Credits
This course focuses on concepts and tools that can generate operational excellence for the production and delivery of services across various industries including healthcare, ride-hailing, advertising, and various types of financial services. Unlike traditional product markets, a salient feature of these industries is that services are often intangible and not storable, and often high variable, which raises significant challenges in decision making. The goal of this course is to improve the understanding of these challenges and to learn how to overcome the obstacles with data-driven quantitative models. This course will introduce simple predictive and prescriptive methods that are useful in service operations. Students will also have the opportunity to apply these concepts in various service industries by conducting a group project.
| PREREQUISITE | INSTRUCTOR | CLASS HOURS |
|---|---|---|
| ISOM2700 AND ISOM3710 | Prof. Dongwook SHIN | Th 1500-1750 - Rm.2404, Lift 17-18 |
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.
| INSTRUCTOR | CLASS HOURS | REMARKS |
|---|---|---|
| Mr. David Anthony BROWN Prof. Ronald LAU |
TBA | Instructor Consent Required |