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ISOM 2500

Business Statistics

[3 Credits]

 

[Previous Course Code(s): ISOM111, ISMT111] Collection, tabulation and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; correlation and regression analysis.

 

Exclusions:

CIVL 2160, IELM 2510, LIFS 3150, MATH 2411, MATH 3423

 

Instructor:

Dr. Baoqian PAN

 

Class Hours:

Wed & Fri 1630-1750 - Rm. 4620
 

Textbook:

“Statistics for Business: Decision Making and Analysis” (Bundled with JMP software) , by Stine; Pearson
   
ISOM 2700

Operations Management

[3 Credits]
L1, L4
L2-L3
L5-L6
L7-L9
[Previous Course Code(s): ISOM 161, ISMT 161] 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.
 

Exclusions:

ISOM 2720, IELM 4100
 

Instructor:

Dr. Ronald LAU, Dr. Stephen SHUM, Dr. Man YU, Dr. NASIRY
 

Class Hours:

(L1) Tue & Thu      0900-1020 - RM. 3007
(L2) Tue & Thu      1630-1750 - Rm. 3007
(L3) Tue & Thu      1330-1450 - Rm. 2465
(L4) Tue & Thu      1030-1150 - Rm. 3007
(L5) Mon & Wed   1030-1150 - Rm. 2464
(L6) Mon & Wed   1200-1320 - Rm. 2464
(L7) Mon & Wed   1030-1150 - Rm. 2407
(L8) Wed & Fri      1630-1750 - LTK
(L9) Wed & Fri      1500-1620 - LTK

 

Reference
book:

1.  "Operations Process Management", by Nigel, Slack, 2nd Ed., Pearson
2.  "Operations and Supply Management: The core”, by Jacobs & Chase; Latest edition; McGraw Hill.
   

ISOM 2720

Introduction to Operations Management

[3 Credits]

 

[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.

 

Exclusions:

ISOM2700, IEEM4100

 

Instructor:

Prof. Shu Ming NG

 

Class Hours:

Mon & Wed   0900-1020 - LTA

 

Textbook:

“Operations and Supply Management: The core”, by Jacobs & Chase; Latest edition; McGraw Hill.

 

 

ISOM 3530

A Second Course in Business Statistics

[4 Credits]

 

[Previous Course Code(s): ISOM253 / ISMT253] Practical application of statistics with emphasis on regression. Analysis of business data using a statistical package. Topics include: simple and multiple regression, residual diagnostics and model selection, experimental design and the analysis of variance.

 

Exclusion:

MATH3424

 

Prerequisite:

ISOM2500 or MATH2411

 

Instructor:

Prof. Xuhu WAN

 

Class Hours:

(L1)  Tue & Thu 1330 - 1450 - Rm. 4505
(T1)  Tue  1030-1120 - Microsoft .Net Lab (Rm. 4116)

 

Textbook:

“Appl Regression Analysis ”, by Dielman; 4th edition; Cengage.

 

 

ISOM 3710

Management Science

[4 Credits]

 

[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.

 

Exclusion:

IEEM 3010

 

Instructor:

Prof. Hongtao ZHANG

 

Class Hours:

(L1) Tue & Thu 1630-1750 - Microsoft .Net Lab (Rm. 4116)
(T1) Mon 1300-1350 - Microsoft .Net Lab (Rm. 4116)

 

Textbook:

“Spreadsheet Modeling and Applications”, by Albright; Cengage.

   
ISOM 3760

Logistics Management

[3 Credits]
  [Previous Course Code(s): ISOM 366, ISMT 366] 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.
 

Exclusion:

IEEM3450
 

Prerequisite:

ISOM2700
 

Instructor:

Prof. Yu MAN
 

Class Hours:

Tue & Thu 1330-1450 - Rm. 2304

 

Textbook:

“Business Logistics / Supply Chain Management", by Ronald Ballou; 5th Edition; Pearson.
 
ISOM 4520

 Statistics for Financial Risk Management

[4 Credits]
  [Previous Course Code(s): ISOM 352, ISMT 352] 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.
 

Prerequisite:

ISOM 3540 (Note: Students who have sufficient background in probability but without pre-requisite may enroll in the course upon approval by the instructor)
 

Instructor:

Dr. Yingying LI
 

Class Hours:

(L1) Fri 1500-1750 - Rm. 2405
(T1) Mon 1200 - 1250 -
Microsoft .Net Lab. ( Rm. 4116)
 

Textbook:

“Elements of Financial Risk Management ", by Peter F. Christoffersen; 1st Edition; Academic.
   
ISOM 4540

 Time Series Analysis and Forecasting

[4 Credits]
  [Previous Course Code(s): ISOM 354, ISMT 354] 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.
 

Exclusions:

ECON 4304, MATH 4425
 

Prerequisite:

ISOM 2500 or MATH 2411
 

Instructor:

Prof. Inchi HU
 

Class Hours:

(L1) Tue & Thu 1500-1620 - Rm. 2407
(T1) Mon 1030 - 1120 - Rm3211
 

Textbook:

“Forecasting, Time Series, and Regression ", by Bruce L. Bowerman; 4th Edition; Cengage.
   
ISOM 4720

Simulation in Business and Management

[3 Credits]
  [Previous Course Code(s): ISOM 372, ISMT 372] Introduction to probabilistic models of operations management; generating random numbers; simulating random variables and discrete event systems; variance reduction techniques; application to risk management, option pricing and other financial problems; application to inventory, queuing, and manufacturing systems.
 

Exclusion:

IELM 4130
 

Prerequisite:

 One of ISOM 2500, MATH 2411 or MATH 2421
 

Instructor:

Prof. Shaohui ZHENG
 

Class Hours:

Mon 1500-1750 - Microsoft .Net Lab. ( Rm. 4116)
 

Textbook:

“Simulation With Arena", by W.David Kelton; 5th Edition; McGraw H.
 

ISOM 4750

Business Project Management

[3 Credits]
  [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.
 

Prerequisite:

 ISOM2700
 

Instructor:

Prof. Qing LI
 

Class Hours:

Wed & Fri 1630-1750 - Microsoft .Net Lab. ( Rm. 4116)
 

ISOM 4770

Supply Chain Management

[3 Credits]
  [Previous Course Code(s): ISOM 367, ISMT 367] Single node inventory control, supply chain network, demand management, manufacturing and replenishment in supply chains, information and coordination in supply chains, product variety management. Third year standing required.
 

Prerequisite:

 ISOM2700
 

Instructor:

Prof. Ki Ling CHEUNG
 

Class Hours:

Mon & Wed 1030-1150 - Rm. 3006
 

Textbook:

“Designing And Managing The Supply Chain Concpets, Strategies And Case Studies", by Simchi-Levi; 3rd Edition; McGraw H.
     

ISOM 4820

Revenue Management

[3 Credits]
  [Previous Course Code(s): ISOM 369C] This course focuses on how a firm should set and update pricing and product availability decisions across its various selling channels in order to maximize its profitability. Through a combination of case studies, lectures and class activities, the course will review the main methodologies and different pricing strategies used in different industries. The goal is for students to learn to identify and exploit opportunities for revenue optimization in different business contexts.
 

Prerequisite:

 ISOM2700
 

Instructor:

Prof. Stephen SHUM
 

Class Hours:

Wed & Fri 1500-1620 - Rm. 4505
 

Reference
book:

1.  “Pricing and Revenue Optimization", by Robert Phillips; 1st Edition; Stanford Business Books
2.  "The Future of Pricing", by Boyd, A; 1st Edition; Palgrave
   

ISOM 4880

Operations Management Project

[3 Credits]

 

[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.

 

Instructor:

Prof. Ronald LAU

 

Class Hours:

LA1