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The Faculty 

Chair:  Albert E. Croker

Professors:

  • Ann Brandwein
  • Albert E. Croker
  • M. Barry Dumas
  • Hammou El Barmi
  • Martin Frankel
  • Linda W. Friedman
  • Shulamith Gross
  • Kari Reiner Lang
  • Michael Palley
  • Abdullah Uz Tansel

Associate Professors:

  • Raquel Benbunan-Fich
  • William Ferns
  • Elsie S. Gottlieb
  • Arie Harel
  • Richard Holowczak
  • Marios Koufaris
  • Nanda Kumar
  • Pai-Chun Ma
  • Kannan Mohan
  • Yitzchak P. Sabban
  • Isak Taksa
  • Lawrence Tatum

Assistant Professors:

  • Hyokyoung Hong
  • Radhika Jain
  • Ronald Neath
  • Rongning Wu
  • Yu Yue

Lecturer:

  • Robert Blau
  • Morris Schwartz

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Field Description

The department offers courses in the areas of computer information systems (CIS), operations research, and statistics. Courses in each of these areas provide training in problemsolving techniques useful in gaining strategic advantage in the marketplace. CIS students are afforded the opportunity to gain a strong foundation in the business, managerial, and technical issues related to information systems with courses in programming, data management, telecommunications, the Internet and e-commerce, and the analysis and design of computer-based solutions to business problems. Operations research trains students in the application of mathematical models and decision making for business, industry, and government with an emphasis on modeling methods, analysis, and implementation relevant to operational and management planning issues. Statistics students are provided with a skills base for the application of statistical techniques and tools to a wide variety of areas, including computational statistics, sample survey, experimental design, and quantitative methods in marketing.

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The Majors

 

General Information

The Department of Statistics and Computer Information Systems offers majors in the fields of computer information systems and statistics and quantitative modeling.

The computer information systems area prepares professionals in the development and use of computer-based technologies to develop systems that fulfill business information needs. Baruchs program trains students to analyze business needs and to design, implement, and use information systems to satisfy those needs.

The operations research area provides basic preparation for students who wish to pursue careers in the decision sciences and provides fundamental quantitative knowledge required by those who major in other business areas. Emphasis is placed on modeling methods, analysis, and implementation relevant to operational and management planning issues in many business areas, including marketing, production, finance, accounting, and information technology.

The statistics area not only provides the basic preparation for students who wish to pursue careers in statistics but also provides the quantitative knowledge required by those who major in other business areas. Statistics and quantitative modeling majors are provided with the base for the application of statistical techniques to a wide variety of fields.

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BBA in Computer Information Systems

The CIS program provides a strong foundation in the business and managerial issues related to information systems. Computer information systems are presented in light of their role as tools for strategic advantage in the marketplace. To facilitate this, course offerings provide computer, technological, and problem - solving skills. The CIS program addresses such areas as CASE (computer-assisted software engineering), networks and telecommunications, electronic commerce, the Internet, client-server technology, and object-oriented technologies.

General CIS Track

Required Courses                              12 credits

CIS 3100

Object-Oriented Programming I3 credits
CIS 3400Database Management Systems I3 credits
CIS 4800Systems Analysis and Design3 credits
CIS 5800Information Technology Development and Project Management3 credits


Elective Courses                                 12 credits

Any four courses from the following list:
CIS 3120Programming for Analytics3 credits
CIS 3150Introduction to Semantic Technologies3 credits
CIS 3367Spreadsheet Applications in Business3 credits
CIS 3444e-Business Technologies3 credits
CIS 3500Networks and Telecommunications I3 credits
CIS 3550Cybersecurity3 credits 
CIS 3630Principles of Web Design3 credits
CIS 3700Green IT3 credits
CIS 3710Business Intelligence3 credits
CIS 3750Social Media Technologies in Organizations3 credits
CIS 3770Usability, Privacy, and Security (effective Spring 2017)3 credits
CIS 3920Data Mining for Business Analytics3 credits
CIS 4100Object-Oriented Programming II3 credits
CIS 4110Object-Oriented Programming II With Java3 credits
CIS 4160Web Applications Development3 credits
CIS 4170Data Visualization3 credits 
CIS 4350Information Technology Audit3 credits
CIS 4400

Database Management Systems II

3 credits
CIS 4500Networks and Telecommunications II3 credits
CIS 4610Expert (Knowledge-Based) Systems and Related Technologies3 credits
CIS 4620Financial Information Technologies3 credits
CIS 4650Operating Systems Concepts3 credits
CIS 4091Special Topics in Computer Information Systems1 credit
CIS 4092Special Topics in Computer Information Systems2 credits
CIS 4093Special Topics in Computer Information Systems3 credits 
CIS 4094Special Topics in Computer Information Systems1.5 credits 
OPR 3300

Quantitative Methods for Accounting*

3 credits
OPR 3450

Quantitative Decision Making for Business I*

3 credits

*Students may not receive credit for both OPR 3450 and OPR 3300.

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Data Analytics Track (effective Spring 2016)

Required Courses (12 credits)

CIS 3100

Object Oriented Programming I3 credits
OR  

CIS 3120

Programming for Analytics3 credits
   

CIS 3400

Database Management Systems I3 credits

CIS 3920/ CIS 3920

Data Mining for Business Analytics3 credits

CIS 4400

Data Warehousing for Analytics3 credits

Elective Courses (12 credits)
Choose four (4) courses of 3 credits each from the following. At least one of which should be a CIS course and one should be a STA course or an OPR course.

CIS 3100*

Object Oriented Programming I3 credits
OR  

CIS 3120*

Programming for Analytics3 credits

CIS 3150

Introduction to Semantic Technologies3 credits

CIS 3710

Business Intelligence3 credits

CIS 4170

Data Visualization3 credits

STA 3154

Business Statistics II3 credits

STA 3155

Regression and Forecasting Models for Business Applications3 credits

OPR 3450

Quantitative Decision Making for Business I

3 credits

OPR 3451

Quantitative Decision Making for Business II3 credits

MKT 4123

Marketing Web Analytics and Intelligence3 credits

MKT 4561

Marketing Analytics3 credits

* If you have used one of these programming courses as a required course, you may use the other as an elective.

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Information Risk Management and Cybersecurity Track (effective Spring 2016)

Required Courses (15 credits)

CIS 3100Object Oriented Programming I3 credits
CIS 3400Database Management Systems I3 credits
CIS 3500Networks and Telecommunications I3 credits
CIS 3550Cybersecurity3 credits
CIS 4350Information Technology Audit3 credits

Elective Courses (9 credits)
Choose three courses from the following list:

CIS 3700Green IT3 credits
CIS 3750Social Media Technologies in Organizations3 credits
CIS 3770Usability, Privacy, and Security (effective Spring 2017)3 credits
CIS 4100Object-Oriented Programming II3 credits
CIS 4110Object-Oriented Programming II with Java3 credits
CIS 4160Web Applications Development3 credits
CIS 4500Networks and Telecommunications II3 credits
CIS 4620Financial Information Technologies3 credits
CIS 4800Systems Analysis and Design3 credits

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BBA in Statistics and Quantitative Modeling

The statistics and quantitative modeling major is designed to develop quantitative thinking skills that are invaluable in business. The student will take courses from a variety of quantitative disciplines that focus extensively on statistical methodology, mathematical modeling, and computer implementation issues applied to business. The use of the computer for the solution and analysis of business problems is an integral part of the program. Graduates of this program will have a broad foundation in statistics or quantitative modeling and will be well positioned for the analysis and solution of decision problems facing business and industry in the 21st century.

It is essential that the student consult with an area advisor to plan a program prior to taking any courses in the major.

 

Major

Required Courses (12 credits)
CIS 3100Object-Oriented Programming I3 credits
OPR 3450Quantitative Decision Making for Business I *3 credits
STA 3154Business Statistics II3 credits
STA 3155Regression and Forecasting Models for Business Applications3 credits

*OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor


Elective Courses (12 Credits)

Electives may be selected after consultation with an advisor:
CIS 3400Database Management Systems I3 credits
CIS 4100Object-Oriented Programming II3 credits
OPR 3451Quantitative Decision Making for Business II3 credits
OPR 3452System Simulation3 credits
OPR 3453Bayesian Statistical Inference and Decision Making3 credits
OPR 4470Special Topics in Operations Research3 credits
OPR 5000Independent Study and Research in Operations Research3 credits
STA 3156Sampling Theory and Practice3 credits
STA 3253Categorical Data Analysis3 credits
STA 3255Statistical Quality Control Methods3 credits
STA 3560Nonparametric Statistics3 credits
STA 4000Introduction to SAS Programming3 credits
STA 4157Design and Analysis of Experimental Data3 credits
STA 4158Analysis of Time Series3 credits
STA 4370Special Topics in Applied Statistics3 credits
STA 5000Independent Study and Research in Statistics3 credits
ECO 4300Mathematical Economics3 credits
MGT 3710Production Planning Systems3 credits
MKT 3600Marketing Research3 credits
MTH 3020Intermediate Calculus4 credits
MTH 4120Introduction to Probability4 credits
MTH 4125Introduction to Stochastic Processes4 credits
MTH 4130Mathematics of Statistics4 credits
MTH 4140Graph Theory3 credits
MTH 4320Fundamental Algorithms4 credits
MTH 4451Risk Theory4 credits
MTH 4500Introductory Financial Mathematics4 credits

Note: Other quantitative courses may be selected subject to approval of the area advisor. A maximum of three elective courses may be taken outside the Zicklin School of Business.

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Statistics: BA Major

Arts and sciences students can major in one of the following three programs in the Department of Statistics and Computer Information Systems:

The department offers courses for students who are primarily interested in mathematics, psychology, and sociology. Statistical theory, using the Colleges extensive computer installations, provides professional training for those who desire a career in operations research, quality control and reliability, health sciences and governmental statistics, design and analysis of surveys, and computer information systems. Joint major programs in conjunction with the Departments of Psychology and Sociology and Anthropology are offered and include courses to augment study in psychometrics and sociometrics.

 

Statistical Theory

Base Courses

CIS 2200Introduction to Information Systems and Technologies3 credits
STA 2100Statistical Methods for Social Science3 credits
MTH 2630Analytic Geometry and Calculus I5 credits
MTH 3030Analytic Geometry and Calculus II5 credits

Major
The major consists of 24 credits, with up to 9 credits in mathematics. Required Courses

STA 3551Theory of Statistics I - Introduction to Probability and Distribution Theory3 credits
STA 4552Theory of Statistics II - Statistical Inference3 credits

Elective Courses

CIS 3100Object-Oriented Programming I3 credits
OPR 4652Introduction to Mathematical Programming3 credits
OPR 4653Introduction to Statistical Decision Theory and Game Theory3 credits

OPR 4654

Queueing Theory and Inventory Models3 credits
STA 3156Sampling Theory and Practice3 credits
STA 3255Statistical Quality Control Methods3 credits
STA 3560Nonparametric Statistics3 credits
STA 4158Analysis of Time Series3 credits
STA 4256Advanced Sampling Methods3 credits
STA 5559Introduction to Multivariate Analysis3 credits
MTH 4010Advanced Calculus I3 credits
MTH 4020Advanced Calculus II3 credits
MTH 4100Linear Algebra and Matrix Methods3 credits
MTH 4120Introduction to Probability3 credits
MTH 4130Mathematics of Statistics3 credits
MTH 5010Advanced Calculus III3 credits

Return to Statistics: BA Major

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Psychometrics


Note: A number of the courses listed below are not currently offered. Students interested in psychometrics should consult with a department advisor.

Base Courses

 

CIS 2200Introduction to Information Systems and Technologies3 credits
STA 2100Statistical Methods for Social Science3 credits
MTH 2630Analytic Geometry and Calculus I5 credits

 

Major:   24 credits Required Courses

STA 2555Applied Methods I - Probability and Statistics3 credits
STA 3556Applied Methods II - Statistical Inference3 credits
STA 4561Factor Analysis and Classification Techniques3 credits
PSY 3053Tests and Measurements3 credits

Elective Courses

OPR 4653Introduction to Statistical Decision Theory and Game Theory3 credits
STA 3156Sampling Theory and Practice3 credits
STA 3560Nonparametric Statistics3 credits
STA 5559Introduction to Multivariate Analysis3 credits
MTH 3030Analytic Geometry and Calculus II5 credits
MTH 4100Linear Algebra and Matrix Methods3 credits
PSY 3056Social Psychology3 credits
PSY 3180Vocational Psychology3 credits
PSY 3181Business and Industrial Psychology3 credits
PSY 3182Interviewing Techniques3 credits
PSY 3183Psychology and Urban Problems3 credits
PSY 4092Special Problems in Psychology2 credits
PSY 4282Advanced Psychological Testing3 credits

Return to Statistics: BA Major

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Sociometrics

Note: A number of the courses listed below are not currently offered. Students interested in sociometrics should consult with a department advisor.

Base Courses
CIS 2200Introduction to Information Systems and Technologies3 credits
STA 2100Statistical Methods for Social Science3 credits
MTH 2630Analytic Geometry and Calculus I5 credits

 

Major:   24 credits Required Courses

STA 2555Applied Methods I - Probability and Statistics3 credits
STA 3556Applied Methods II - Statistical Inference3 credits
STA 3563Design of Social Research3 credits
SOC 4032Methods of Sociological Research3 credits

Elective Courses

OPR 4653Introduction to Statistical Decision Theory and Game Theory3 credits
STA 3156Sampling Theory and Practice3 credits
STA 3560Nonparametric Statistics3 credits
STA 5559Introduction to Multivariate Analysis3 credits
MTH 3030Analytic Geometry and Calculus II5 credits
MTH 4100Linear Algebra and Matrix Methods3 credits
SOC 3155Urban Sociology3 credits
SOC 3052Social Stratification3 credits
SOC 3055Population and Society3 credits
SOC 3064Modern Organizations3 credits
SOC 3082Small Groups3 credits

Equivalent courses in the arts and sciences and business curricula:

The following pairs of courses are considered as equivalent for purposes of credits. Students can be given credit for either course but not for both:
STA 2000  and   STA 2100
(STA 2000 may be used for either the BA or BBA)
STA 3154  and   STA 3556
STA 3155  and   STA 4554
STA 4157  and   STA 4557
OPR 3453  and   OPR 4653

Return to Statistics: BA Major

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The Minors

General Information

The Department of Statistics and Computer Information Systems offers three minor concentrations*. These are in the fields of computer applications in business, quantitative methods and modeling, and statistics. Each is outlined below.

* Optional second minors open only to students pursuing a major within the Zicklin School of Business

 

Computer Applications in Business (9 credits)

This minor is designed to prepare students majoring in other areas of business to be competent end users and decision makers in a computer information systems environment. The focus is on using microcomputers and higher-level applications software to implement useful applications in a wide range of business areas.

Required Courses  

Choose any three courses (9 credits) from the list of 3000, 4000, or 5000 level CIS courses
except CIS 3270, CIS 3810 and CIS 4910.
Prerequisites must be satisfied.

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Cybersecurity and Information Assurance (9 credits) effective Spring 2017

This minor would provide an opportunity for students majoring in various areas of business to develop basic understanding of information security and assurance issues that organizations face today and the potential solutions available.

Required Courses (9 credits)  

Networks and Telecommunications I3 credits

Cybersecurity3 credits

Information Technology Audit3 credits

Return to Minors

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Data Analytics (9 credits)

This minor would provide an opportunity for students majoring in various areas of business to develop basic data literacy and to integrate techniques and solutions from the areas of technology, statistics, and quantitative modeling in developing business intelligence to facilitate organizational decision-making

Required Courses (6 credits)
CIS 3920/ STA 3920Data Mining for Business Analytics3 credits
CIS 3120Programming for Analytics3 credits
Elective Courses (3 credits) - Choose one course from the following list.
CIS 3400Database Management Systems I3 credits
CIS 4170Data Visualization3 credits
CIS 4400Data Warehousing for Analytics3 credits
STA 3154Business Statistics II3 credits
STA 3155Regression and Forecasting Models for Business Applications3 credits
MKT 4123Marketing Web Analytics and Intelligence3 credits
MKT 4561Marketing Analytics3 credits
MGT 3500Management Science3 credits

OR

 3 credits
OPR 3450*Quantitative Decision Making for Business I3 credits
* Students receiving credit for MGT 3500 will not also receive credit for OPR 3450.

Return to Minors

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Quantitative Methods and Modeling (9 credits)

The minor in quantitative methods and modeling is designed to prepare students majoring in other areas of business with a background of quantitative skills that facilitate the decisionmaking process. In addition to one required course, two elective courses are selected with the approval of the area advisor to complement the students major and provide the student with an appropriate background.

Required Courses                                
OPR 3450Quantitative Decision Making for Business I3 credits
             or 
OPR 3300Quantitative Methods for Accounting3 credits

Two courses selected with the approval of the area advisor from the following:
CIS 3400Database Management Systems I3 credits
CIS 4100Object-Oriented Programming II3 credits
OPR 3451Quantitative Decision Making for Business II3 credits
OPR 3452System Simulation3 credits
OPR 3453Bayesian Statistical Inference and Decision Making3 credits
OPR 4470Special Topics in Operations Research3 credits
OPR 5000Independent Study in Operations Research3 credits
STA 3154Business Statistics II3 credits
STA 3155Regression and Forecasting Models for Business Applications3 credits
STA 4000Introduction to SAS Programming3 credits

Other quantitative courses may be selected subject to approval of the area advisor.

Return to Minors

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Statistics

The minor in statistics consists of the courses listed below.

 


Required Courses                                3 credits
STA 3154Business Statistics II3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
OPR 3450Quantitative Decision Making for Business I3 credits
STA 3155Intermediate Statistical Methods3 credits
STA 3156Sampling Theory and Practice3 credits
STA 4000Introduction to SAS Programming3 credits
STA 4370Special Topics in Applied Statistics3 credits

Return to Minors

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Liberal Arts Interdisciplinary Minor in Information Technology and Social Responsibility

The internet age has fostered an environment of widespread interconnectedness. This hyperconnectivity, and the new media that proliferate along with it, come with their own specific problems. The purpose of this concentration is to study the effects of these new technologies on the individual, the workplace, and society at large. In this program of study students will examine the increasing importance of individual and organizational social responsibility in today’s interconnected and computer-mediated environment, as well as the specific issues that stand at the intersection of social responsibility and information technology.

 

 


Required Course:                                3 credits
CIS 4910Information Technology and Social Responsibility*3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
BLS 3013Mass Media and the Black American3 credits
CIS 3270

Computer Ethics*  (

)

3 credits
CIS 3700Green IT*3 credits
CIS 3810Principles of New Media*3 credits
COM 3060Media Analysis and Criticism3 credits
COM 3076International Communication3 credits
JRN 3220Media Ethics3 credits
JRN 3500Advanced Reporting and Writing3 credits
LIB 3040

Information and Society  (

or)

3 credits
PHI 3040Mind and Computers3 credits
PHI 3050Ethics, Economics, and the Business System3 credits

Courses may be organized into the following suggested tracks:

Media
BLS 3013Mass Media and the Black American3 credits
CIS 3810Principles of New Media*3 credits
COM 3060Media Analysis and Criticism3 credits
COM 3076International Communication3 credits
JRN 3220Media Ethics3 credits

Information Society
CIS 3810Principles of New Media*3 credits
COM 3076International Communication3 credits
JRN 3500Advanced Reporting and Writing3 credits
LIB 3040

Information and Society*  (

or)

3 credits

Philosophy and Ethics
CIS 3270

Computer Ethics*  


3 credits
JRN 3220Media Ethics3 credits
PHI 3040Mind and Computers3 credits
PHI 3050Ethics, Economics, and the Business System3 credits

*For the purposes of this program, this course counts as an Arts and Sciences course.

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Minors for Non-Business Majors

Students in the Weissman School of Arts and Sciences or in the School of Public Affairs who wish to take business courses may do so by declaring a minor in statistics and quantitative modeling or in technology, business, and the Internet. Before declaring the minor, they must complete either BUS 1001 (1 credit) or have previously completed BUS 1000 (3 credits). To be awarded the minor, students must have a GPA of 2.0 or more in the courses included in the minor. Eligibility to declare such a minor is restricted to students who have an overall GPA of 2.0 or more at time they declare the minor. Courses that apply to the minor may not be used for any other requirement. This minor does not fulfill the requirement to complete a liberal arts minor.

Students must choose three courses (9 credits) from the following:

Statistics and Quantitative Modeling
CIS 3100Object-Oriented Programming I3 credits
OPR 3300Quantitative Methods for Accounting3 credits
OPR 3450Quantitative Decision Making for Business I3 credits
STA 3154Business Statistics II3 credits
STA 3155Regression and Forecasting Models for Business Applications3 credits

Technology, Business, and the Internet
CIS 3100Object-Oriented Programming I3 credits
CIS 3367Spreadsheet Applications in Business3 credits
CIS 3400Database Management Systems I3 credits
CIS 3444e-Business Technologies3 credits
CIS 3630Principles of Web Design3 credits
CIS 4800Systems Analysis and Design3 credits
LAW 3108Law and the Internet3 credits
MKT 4555Internet Marketing3 credits

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Courses

Courses in Computer Information Systems (CIS)

Problem-solving Techniques Using Microcomputers

1 hour; 1 credit

Spreadsheet Techniques for Problem Solving

1 hour; 1 credit

Spreadsheet Formulas and Functions

1 hour; 1 credit

Introduction to Information Systems and Technologies

3 hours; 3 credits

Object-Oriented Programming I

3 hours; 3 credits

Introduction to Semantic Technologies3 hours; 3 credits

Computer Ethics

3 hours; 3 credits

Spreadsheet Applications in Business

3 hours; 3 credits

Database Management Systems I

3 hours; 3 credits

E-Business Technologies

3 hours; 3 credits

Networks and Telecommunications I

3 hours; 3 credits

Cybersecurity

3 hours; 3 credits

Principles of Web Design

3 hours; 3 credits

Green IT

3 hours; 3 credits

Social Media Technologies in Organizations

3 hours; 3 credits

Usability, Privacy, and Security3 hours; 3 credits

Principles of New Media

3 hours; 3 credits

Special Topics in Computer Information Systems

1 hours; 1 credits

Special Topics in Computer Information Systems

2 hours; 2 credits

Special Topics in Computer Information Systems

3 hours; 3 credits

Special Topics in Computer Information Systems

1.5 hours; 1.5 credits

Object-Oriented Programming II

3 hours; 3 credits

Object-Oriented Programming II with Java

3 hours; 3 credits

Internet Applications Development

3 hours; 3 credits

Web Applications Development

3 hours; 3 credits

Information Technology Audit

3 hours; 3 credits

Microcomputer Applications in Business II

3 hours; 3 credits

Data Warehousing for Analytics

3 hours; 3 credits

Networks and Telecommunications II

3 hours; 3 credits

Expert (Knowledge-Based) Systems and Related Technologies

3 hours; 3 credits

Financial Information Technologies

3 hours; 3 credits

Operating Systems Concepts

3 hours; 3 credits

Special Topics in Computer Information Systems

3 hours; 3 credits

Systems Analysis and Design

3 hours; 3 credits

Information Technology and Social Responsibility

3 hours; 3 credits

Independent Study and Research in Computer Information Systems

3 hours; 3 credits

Information Technology Development and Project Management

3 hours; 3 credits

Computer Information Systems Internship

3 hours; 3 credits

Hon Info Systems

3 hours; 3 credits

Hon Sprdsht App Bus

3 hours; 3 credits

Hon Network & Com

3 hours; 3 credits

Hon CIS I

3 hours; 3 credits per semester

Hon CIS II

3 hours; 3 credits per semester

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Courses in Statistics (STA)

Business Statistics I

3 hours; 3 credits

Statistics for Social Science

4 hours; 3 credits

Data Analysis and Model Building I

3 hours; 3 credits

Business Statistics II

3 hours; 3 credits

Regression and Forecasting Models for Business Applications

3 hours; 3 credits

Sampling Theory and Practice

3 hours; 3 credits

Categorical Data Analysis

3 hours; 3 credits

Statistical Quality Control Methods

3 hours; 3 credits

Nonparametric Statistics

3 hours; 3 credits

Introduction to SAS Programming

3 hours; 3 credits

Data Analysis and Model Building II

3 hours; 3 credits

Design and Analysis of Experimental Data

3 hours; 3 credits

Analysis of Time Series

3 hours; 3 credits

Special Topics in Applied Statistics

3 hours; 3 credits

Independent Study and Research in Statistics

3 hours; 3 credits

Hon bus Statistics

3 hours; 3 credits

Hon Bus Statistics

3 hours; 3 credits

Hon Statistics I

3 hours; 3 credits

Hon Statistics II

3 hours; 3 credits

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Courses in Operations Research (OPR)

Quantitative Methods for Accounting

3 hours; 3 credits

Quantitative Decision Making for Business I

3 hours; 3 credits

Quantitative Decision Making for Business II

3 hours; 3 credits

System Simulation

3 hours; 3 credits

Bayesian Statistical Inference and Decision Making

3 hours; 3 credits

Special Topics in Operations Research

3 hours; 3 credits

Independent Study and Research in Operations Research

3 hours; 3 credits

Hon Quant Meth Acc

3 hours; 3 credits

Hon Opr I

3 hours; 3 credits

Hon Opr II

3 hours; 3 credits

Hon Opr III

3 hours; 3 credits

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