UG COURSES OFFERED IN FALL 2022-2023 (OPERATIONS MANAGEMENT)

Operations Management
ISOM 1500 Insightful Decisions
3 Credits
L1-L4
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.
INSTRUCTOR   CLASS HOURS   CLASS ATTRIBUTES
 Prof. Suri GURUMURTHI  

  (L1) Mo 0900-1020 - Rm5620, Lift 31-32  
  (L2) Mo 1630-1750 - Rm4582, Lift 27-28  
  (L3) Mo 1500-1620 - Rm4582, Lift 27-28  
  (L4) Mo 1330-1450 - Rm4582, Lift 27-28  

 Common Core (QR) for 36-credit program   
 Common Core (SA) for 36-credit program 
 Common Core (SSC-SA) for for 36-credit program   

 [BLD} -  Blended learning
ISOM 2500 Business Statistics
3 Credits
L1L2L3-L4
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, 
 IEDA 2540, LIFS 3150,
 MATH 2411,
 MATH 3423

 
 Prof. Lilun DU
 Prof. Kohei SUNADA
 Prof. Lucy XIA 
 Prof. Mike SO

 (L1) TuTh  0900-1020 - Rm4619, Lift 31-32 
 (L2) TuTh  1030-1150 - Rm4619, Lift 31-32  
 (L3) WeFr  1500-1620 - Rm4619, Lift 31-32
 (L4) WeFr  1630-1750 - Rm4619, Lift 31-32
 (L5) TuTh  1200-1320 - Rm4619, Lift 31-32
 (L6) TuTh  1330-1450 - Rm4619, Lift 31-32
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. Xuhu Wan

  24-Oct-2022 - 30-Nov-2022
 [Add/Drop Deadline : 07-Sep-2022]
 
  (L1)  Mo 1400-1350 - LTK
  (L2)  Tu  1500-1650 - LTK
  (L3)  Th  0900-1050 - LTG
  (L4)  Tu  1500-1650 - LTK
  (L5)  Mo  1600-1750 - LTK
  (L6)  Th  1300-1450 - LTK

 (LA1)  Tu  1300-1350  - G05, LSK Bldg
 (LA2)  Mo  1130-1220 - G05, LSK Bldg 
 (LA3)  Fr   1430-1520 - G05, LSK Bldg 
 (LA4)  We 1330-1420 - G05, LSK Bldg   
 (LA5)  We  0900-0950 - G05, LSK Bldg 
 (LA6)  We  1100-1150 - G05, LSK Bldg
 (LA7)  Fr   1230-1320 - G05, LSK Bldg
 (LA8)  Fr   0900-0950 - G05, LSK Bldg
ISOM 2700 Operations Management
3 Credits
L1-L2L3-L5
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
 IEDA 4100

 Prof. Dongwook SHIN
 Prof. Lijian LU
 Prof. Suri GURUMURTHI 

 (L1) WeFr   1630-1750 - G012, LSK Bldg  
 (L2) WeFr   1500-1620 - G012, LSK Bldg
 (L3) TuTh   1330-1450 - LTJ  
 (L4) TuTh   1200-1320 - LTJ     
 (L5) TuTh   1630-1750 - LTF   
 (L6) TuTh   1030-1150 - Rm2306, Lift 17-18  
 (L7) TuTh   0900-1020 - Rm2306, Lift 17-18  
ISOM 3540 Introduction to Probability Models
3 Credits
L1
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.
PREREQUISITE EXCLUSION INSTRUCTOR CLASS HOURS
 ISOM 2500 or
  MATH 2411		  MATH 2421,
 MATH 3425		  Prof. Mike SO  (L1) TuTh 0900-1020 - Rm2404, Lift 17-18   
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
 CIVL 2170, IEDA 3010,  
 PHYS4059		  Prof. Shaohui ZHENG  

 (L1) TuTh  1030-1150 - G021, LSK Bldg  
 (L2) TuTh  0900-1020 - G021, LSK Bldg  

 (T1) Fr   1330-1420 - G021, LSK Bldg  
 (T2) Fr   1230-1320 - 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.
EXCLUSION INSTRUCTOR CLASS HOURS CLASS ATTRIBUTES  
 IEDA 3270  Prof. Ki Ling CHEUNG 

 (L1) Mo 0900-1020 - Rm4582, Lift 27-28  
 (L2) We 0900-1020 - Rm4582, Lift 27-28  

  [BLD] Blended Learning
ISOM 3770 Global Supply Chain Management
3 Credits
[Previous Course 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
 ISOM 2700 AND ISOM 3710   IEDA 4410  Prof. Ki Ling CHEUNG 

 (L1) Fr    0900-1020 - Rm4582, Lift 27-28
 (L2) We  0900-1020 - Rm4582, Lift 27-28 

 (T1) We  1800-1850 - Rm1104, Acad Concourse  

 [BLD] Blended Learning
ISOM 4530 Statistical Analysis of Financial Data in R/S-plus
4 Credits
L1
This course intends to introduce the students to modern data analysis with an emphasis on financial applications. In this course, students will study the data exploration methods, applications of regression and time series, gain experience in analyzing financial data; and become proficient in using statistical software (R or S-Plus) to do estimation, modeling, and forecasting.
PREREQUISITE INSTRUCTOR CLASS HOURS
 IEDA 2510 (prior to 2018-19)  
 OR ISOM 2500 OR MATH 2411 		  Prof. Xinghua ZHENG 

 (L1) We  1330-1620 - Rm1009, LSK Bldg 
 (T1) Th   1730-1820 - Rm5464, Lift 25-26  
ISOM 4720 Simulation in Business and Management
3 Credits
L1
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..
PREREQUISITE EXCLUSION INSTRUCTOR CLASS HOURS
 ISOM 2500 OR MATH 2411
OR MATH 2421 OR MATH 2431		  IEDA 4130  Prof. Ying-Ju CHEN   (L1) MoWe 1200-1320 - G005, LSK Bldg 
ISOM 4740 Enterprise Resource Management
3 Credits
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.
PREREQUISITE INSTRUCTOR CLASS HOURS CLASS ATTRIBUTES
 ISOM 2700  Prof. Ronald LAU  (L1) Tu 1330-1620      [BLD] Blended Learning
ISOM 4750 Business Project Management
3 Credits
L1
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

 (L1) Mo  1030-1150 - LTK 
        We  1030-1150 - G005, LSK Bldg 
ISOM 4840 Financial Service Operations Management
3 Credits
L1
This course focuses on the products, processes and delivery channels in the financial industries. It analyzes and evaluates the designs and performances of the internal operations and the different distribution channels of the financial institutions, and identifies opportunities for continuous improvement in productivity, efficiency and service quality. Issues like operational risk management, application of IT, automation, outsourcing and new trends in the financial service operations for both financial institutions and non-financial institutions will be explored.
PREREQUISITE ALTERNATE CODE(S) INSTRUCTOR CLASS HOURS
 ISOM 2500 OR
 MATH 2411) AND ISOM 2700		  RMBI 4110  Prof. Suri GURUMURTHI   (L1) MoWe  1030-1150 - Rm2504, Lift 25-26