UG COURSES OFFERED IN FALL 2020-2021 (OPERATIONS MANAGEMENT)

Operations Management
ISOM 1500 Insightful Decisions
3 Credits
F1-F4
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 1030-1150 
  (L2) We 0900-1020
  (L3) Mo 0900-1020
  (L4) We 1030-1150

 Common Core (SA Special list) for 10 &11 3Y programs   
 Common Core (SA) 2010 & 2011 3Y programs
 Common Core (SA) 2012 3Y programs
 Common Core (QR) for 4Y programs
 Common Core (SA) for 4Y programs
 Common Core (SSC-SA) for 4Y programs
 Blended learning
ISOM 2500 Business Statistics
3 Credits
L1L2-L3L4L5-L6
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 2510,
LIFS 3150, MATH 2411,
MATH 3423

 Prof. Inchi HU
 Prof. Lilun DU
 Prof. Xinghua ZHENG
 Prof. Kohei KAWAGUCHI 
 Prof. Lucy XIA 

(L1) TuTh  0900-1020 
(L2) WeFr  1500-1620 
(L3) TuTh  1630-1750 

(L4) Mo     1330-1450    
       Fr       0900-1020 

(L5) TuTh   1500-1620   
(L6) MoWe  1200-1320  
ISOM 2600 Introduction to Business Analytics
1 Credit
L1L2L3-L4L5-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-REQUISITE CO-REQUISITE INSTRUCTOR CLASS HOURS REMARKS
ISOM 2500   ISOM2020   Prof. Kris PAN,
 Prof. Inchi HU,
 Prof. Xuhu Wan,
 Prof. Lilun DU 

  26-Oct-2020 - 05-Dec-2020 
 
  (L1)  Mo 1300-1450
  (L2)  Tu  1030-1220
  (L3)  Mo 1500-1650
  (L4)  Tu  1330-1520
  (L5)  Th  1330-1520
  (L6)  Th  1030-1220

 (LA1)  Tu  1600-1650   
 (LA2)  Fr   1700-1750  
 (LA3)  Fr   1500-1550  
 (LA4)  We  1330-1420   
 (LA5)  We  1630-1720   
 (LA6)  Fr   1300-1350   
 (LA7)  Mo  1730-1820 
 (LA9)  Th   1600-1650

 Add/Drop Deadline :
 12-Sep-2020 

 
ISOM 2700 Operations Management
3 Credits
L1-L2L3-L4L5
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. Suri GURUMURTHI 

 (L1) TuTh   0900-1020    
 (L2) TuTh   1500-1620   
 (L3) TuTh   1030-1150   
 (L4) TuTh   1200-1320     
 (L5) TuTh   1630-1750    
 (L6) TuTh   1330-1450    
ISOM 3540 Introduction to Probability Models
3 Credits
ISOM 3540 Introduction to Probability Models
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 1330-1450   
ISOM 3710 Business Modeling and Optimization
4 Credits
L1-L2
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  0900-1020     
 (L2) TuTh  1030-1150

(T1) Mo   1400-1450    
(T2) Mo   1500-1550 
ISOM 3730 Quality and Process Management
4 Credits
L1-L2
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    
 (L2) We 0900-1020

 (T1) Th 1200-1250

  Blended Learning
ISOM 3760 Logistics Management
3 Credits
ISOM 3760 Logistics Management
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
 ISOM 2700  IEDA 3450  Prof. Ying-Ju CHEN   (L1) TuTh 1500-1620    
ISOM 3770 Global Supply Chain Management
3 Credits
ISOM 3770 Global Supply Chain Management
[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
 ISOM 2700 AND ISOM 3710   IEDA 4410  Prof. Xuan WANG 

 (L1) MoWe  1030-1150    

 (T1) Mo      1800-1850
ISOM 4530 Statistical Analysis of Financial Data in R/S-plus
4 Credits
ISOM 4530 Statistical Analysis of Financial Data in R/S-plus
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 OR ISOM 2500 OR MATH 2411   Prof. Xinghua ZHENG 

 (L1) Mo  1500-1750     
 (T1) Th  1800-1850
ISOM 4740 Enterprise Resource Management
3 Credits
ISOM 4740 Enterprise Resource Management
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 1200-1450     Blended Learning
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

 (L1) MoWe  1200-1450      
ISOM 4840 Financial Service Operations Management
3 Credits
ISOM 4840 Financial Service Operations Management
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) TuTh  0900-1220