PG Courses offered in Fall 2021-2022 (Operations Management)

ISOM5510 Data Analysis [2-0-0:2]

[Previous Course Code(s): ISOM 551, ISMT 551] Covers various discrete and continuous probability models and their applications in business problems, estimation and testing of hypotheses, simple and multiple linear regression analysis. This is a core course for MBA.

IMBA 5100, ISOM5520

L1, L3 & L7 Dr. Baoqian PAN 
L2 & L6 Prof. Yingying LI
L4 & L5 Dr. Jason HO

ISOM5540 Introduction to Probability [3-0-0:3]

[Previous Course Code(s): ISOM 581, ISMT 581] Axioms of probability, conditional probability and independence, permutations and combinations, density and distribution functions, examples of random variables, independence of random variables, transformations of random variables, order statistics, expected value, variance, higher moments; Chebychev's inequality, convergence concepts, moment generating functions, central limit theorem. Graded P or F.

MATH 2421 Background: Calculus and some knowledge of linear algebra. Prof. Lancelot JAMES

ISOM5610 Introduction to Business Analytics [2-0-0:2]

This course describes the multiple regression method and its variants as exploratory and predictive models for fact-based management and data-driven decision making.  The course adopts a case-based approach.

L1-L2 Dr. Baoqian PAN

ISOM5620 Visual Analytics for Business Decisions [2-0-0:2]

This course focuses on various visualization analysis tools for business decisions. Making good use of visual analytics helps summarize and analyze large amounts of data effectively. In this course, the topics like visualization framework, visual analytics for spatial, temporal, network and textual data, and dynamic visualization will be included. Reporting visualization results for business decisions will also be discussed.

L1-L2 Dr. Jason HO

ISOM5630 Business Analytics in R [2-0-0:2]

The course introduces students to modern data analysis using R, with an emphasis on business, in particular, financial applications. Main topics to be covered include data exploration methods, regression analysis and time series analysis.

L1-L3 Prof. Xinghua ZHENG

ISOM5700 Operations Management [2-0-0:2]

[Previous Course Code(s): ISOM 561, ISMT 561]Introduction to management of business processes that produce goods or services: topics include operations strategy, process analysis, queuing systems, inventory management, quality management, process improvement and other important issues.

IELM 5170, IMBA 5110, MTMC 507 (prior to 2010-11)

L1-L3 Prof. Xuan WANG 

ISOM5730 Global Supply Chain Management [2-0-0:2]

[Previous Course Code(s): ISOM 567, ISMT 567, ISMT 669G] Supply chain uncertainty and market fluctuation, information distortion and visibility, supply chain coordination and integration, supply chain incentives, flexibility, and design for supply chain management, supply chain strategies.

ISOM 5700 EEMT5300, MIMT5330 Prof. Gordon LAM

ISOM5800 Business Modeling [1-0-0:1]

[Previous Course Code(s): ISOM 580, ISOM 669B, MGMT 650F] This course is open to all MBA students who need to utilize spreadsheets to create and analyze business models for decision making and/or managerial insights. Practical exercises and case studies are used to illustrate the concepts and practices of business modeling and to build competency in using spreadsheets for advanced applications. Graded P or F.

ISOM5810 Prof. Hongtao ZHANG

ISOM5810 Business Modeling and Optimization [2-0-0:2]

[Previous Course Code(s): ISOM 571, ISMT571 ISMT669I] The science and technology of informed decision making with focus on optimizing business processes. Spreadsheet decision modeling in Excel 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.

ISOM5800 L1-L3 Prof. Shaohui ZHENG


ISOM5830 Simulation for Risk and Operations Analysis [2-0-0:2]

The course covers the basic principles and approaches of computer simulation, and introduces Monte Carlo simulations with Excel and @risk, and discrete event simulation with Arena, focusing on their applications in solving business and operation problems.

L1-L3 Prof. Ying-Ju CHEN