Decision Sciences and MIS

Courses

MIS 200 - Management Information Systems

Level: UG Credits: 4.00

Introductory course to Management of Information Systems, a core business function. The course examines how information systems (i.e., information technology, people, procedures, and data) help add value to an organization, and integrate the various functional areas of a business (e.g., accounting, marketing, etc.).

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Not repeatable for credit

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1 year 37 weeks ago

MIS 342 - Systems Analysis and Design

Level: UG Credits: 4.00

Introduces structured and object-oriented systems analysis and design methodologies in classroom and hands-on lab settings. Discusses system life-cycle concepts and techniques such as dataflow diagrams, structure charts, and E-R diagrams. Also covers object-oriented design, prototyping, and rapid application development approaches.

MIS 300 [Min Grade: D] or MIS 200 [Min Grade: D]

Not repeatable for credit

Cannot enroll if classification is Freshman

1 year 37 weeks ago

MIS 343 - Dbase Design & Implement

Level: UG Credits: 4.00

Covers data and file structures, object-oriented database design, and the use of SQL for querying databases. Discusses logical and physical database design and offers hands-on experience with commercial database management systems (DBMSs).

MIS 200 [Min Grade: D] or MIS 300 [Min Grade: D]

Not repeatable for credit

Cannot enroll if classification is Freshman

1 year 37 weeks ago

MIS 346 - Management Information Systems Strategy

Level: UG Credits: 4.00

To discuss Management of Information Systems, and then to elaborate on its application to organizational change, especially to reengineering. This course will introduce the student to central aspects of MIS policy and strategy in the first part of the course and then use these concepts to understand reengineering in the latter part of the course.

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Not repeatable for credit

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1 year 16 weeks ago

MIS 347 - Domestic and Global Outsourcing Management

Level: UG Credits: 4.00

To introduce the student to issues in managing the outsourcing of Information Systems. This will be done in a mixture of lectures and student team presentations. The lectures will introduce the students to some of the central themes of outsourcing IS by summarizing current literature. Parallel to these lectures students will form study teams to investigate other important topics of IS outsourcing through a guided literature reading.

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Not repeatable for credit

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1 year 5 weeks ago

MIS 349 - Predictive Business Analytics with Relational

Level: Credits: 4.0

Data mining is about creating new information by examining datasets to identify patterns and unknown questions they relate to by applying data modeling and statistical tools. The objective of this course is to introduce students to data mining through Base Programming, applied statistics, and data visualization methods in SAS.

STAT 202 [Min Grade: D], STAT 206 [Min Grade: D] (Can be taken Concurrently)(MIS 200 [Min Grade: D] or MIS 300 [Min Grade: D])

Not repeatable for credit

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1 year 37 weeks ago

MIS 351 - Introduction to Programming for Business in C

Level: Credits: 4.0

This course is an introductory course to the process and tools necessary to build a complete information system given a specification. In this course, you will learn basic concepts and techniques in computer programming. This course selects Microsoft Visual Studio.Net and C# as the software development environment and programming language. This language and development system is a complete suite of tools for creating stand-alone applications, portions of larger systems, independent objects, complete distributed systems, and active components of the World Wide Web.

MIS 200 [Min Grade: D] or MIS 300 [Min Grade: D]

Not repeatable for credit

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1 year 37 weeks ago

MIS 361 - Information System Project Management

Level: Credits: 4.0

The course is structured around the key phases of a project lifecycle initiating a project, planning a project, executing a project, controlling a project, and closing out a project. It also pays specific attention to the nine knowledge areas of Project Management as defined by the Project Management Institute (PMI)s Project Management Body of Knowledge (PMBOK): project scope, cost, time, integration, quality, communication, risk, human resources, and procurement management. Additionally, students will be introduced with choices in project management approaches (such as SAP Project Management and APM.

MIS 200 [Min Grade: D] or MIS 300 [Min Grade: D]

Not repeatable for credit

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1 year 37 weeks ago

MIS 612 - Aligning Information Systems and Business Str

Level: Credits: 3.0

In this course, we will examine a variety of IS issues which are important to organizations, including information systems strategy, impact of IT on organization and work processes, business process reengineering, systems architecture and project management.

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Not repeatable for credit

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1 year 37 weeks ago

MIS 624 - E-Commerce Systems I

Level: GR Credits: 3.00

Examines concepts of the information systems development lifecycle and methods for analyzing user information requirements. Focuses on structured techniques for designing a system, managing its development and testing, performing feasibility analyses, and ensuring both user satisfaction and achievement of functional requirements. Covers techniques such as rapid application development (RAD), prototyping, and joint analysis and design (JAD) in detail. Also covers techniques such as data flow diagramming, logical database design, and user interface design.

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Not repeatable for credit

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1 year 25 weeks ago

MIS 630 - Interact Decision Support Sys

Level: GR Credits: 3.00

Examines the theory of DSS for use in supporting managerial decision making. Also discusses EIS, KBS, data mining, and data warehousing. Describes the benefits of online analytical processing (OLAP) to the organization and how they can be measured. Includes the development and use of DSS by student groups in a case study.

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Not repeatable for credit

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1 year 26 weeks ago

MIS 632 - Database Analy & Dsgn Business

Level: GR Credits: 3.00

Focuses on database analysis and design for a wide range of business functions. Stresses the fundamentals of sound logical database design using techniques such as entity/relationship modeling. Examines the relational database and the object-oriented approaches to database design and handles specific design methods, such as normalization. Also discusses physical database design and data storage methodologies such as raid and hierarchical storage management (HSM). Involves a hands-on orientation with the use of tools such as oracle, Access, and Visual Basic.

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Not repeatable for credit

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1 year 37 weeks ago

MIS 633 - Predictive Business Analytics with Relational

Level: Credits: 3.0

This course introduces students to data mining through Base Programming, applied statistics, and data visualization methods in SAS. In this course, students learn to solve statistical problems rigorously and think critically with data analysis in SAS. Students acquire the analytical skills in SAS programming, capabilities in recognizing data patterns and visualizing the results.

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Not repeatable for credit

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1 year 37 weeks ago

MIS 634 - Advanced Business Analytics with Relational D

Level: Credits: 3.0

This course is the sequel of MIS 633. This course discusses SAS Advanced Programming as applied to business analytics in a relational database environment. The course deals extensively with SQL, SAS macros, optimization of SAS programs, and exploratory statistical methods as applied in SAS to identify and analyze patterns in the data.

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Not repeatable for credit

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1 year 37 weeks ago

MIS 661 - Managing with Enterprise Application Software

Level: Credits: 3.0

This course examines real-life operations business processes in modern companies as well as concepts of enterprise application software like ERP (enterprise resource planning). We will use SAP ERP solutions, taking a hands-on, case study approach to exploring Procurement, Production, Fulfillment and related business processes. After completing this course, students will be equipped with practical skills and competencies for careers in business and information technology where SAP software is universal.

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Not repeatable for credit

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1 year 37 weeks ago

MIS 662 - Managing with Enterprise Application Software

Level: Credits: 3.0

This course examines real-life accounting business processes in modern companies, concepts of enterprise application software like ERP (enterprise resource planning) and methods for reporting and data analysis. We will use SAP ERP and Analytics solutions, taking a hands-on, case study approach to exploring Financial Accounting, Managerial Accounting and related business processes. After completing this course, students will be equipped with practical skills and competencies for careers in business and information technology where SAP software is universal.

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Not repeatable for credit

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1 year 37 weeks ago

OPM 200 - Operations Management

Level: UG Credits: 4.0

Provides students with an understanding of the transformation process, which converts inputs into outputs. This is the primary function of every manufacturing/service organization, and how it adds value to the outputs. Discusses the decision-making process and techniques for planning and controlling the operations function.

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Not repeatable for credit

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1 year 37 weeks ago

OPM 315 - Service Operations Management

Level: UG Credits: 4.0

Analyze service systems from the viewpoint of the operations manager to understand where and in what ways the body of knowledge developed in operations management, strategy, and marketing can be applied and where other approaches are necessary. Focus on understanding what customers want, designing systems and procedures delivering services, and controlling quality.

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Not repeatable for credit

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4 years 44 weeks ago

OPM 321 - Planning and Control of Operations

Level: UG Credits: 4.0

The course objective is to provide students with an understanding of managerial concepts and quantitative tools required in the design and operation of manufacturing/service systems. This course examines strategic planning decision problems, such as capacity planning, facility planning, locations decision, work/job design, and project management from the perspective of a production/operations manager of a business organization.

STAT 205 [Min Grade: D] or STAT 201 [Min Grade: D]

Not repeatable for credit

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1 year 37 weeks ago

OPM 325 - Advanced Planning and Control of Operations

Level: UG Credits: 4.0

This course focuses on the medium to short-term managerial decision processes and models within the realm of the operations function of manufacturing and service organizations. Topics covered include time series forecasting, aggregate planning, materials management, operations and staff scheduling, and statistical quality control.

OPM 321 [Min Grade: D] and OPR 320 [Min Grade: D]

Not repeatable for credit

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4 years 44 weeks ago

OPM 341 - Supply Chain Management

Level: UG Credits: 4.0

Presents and explains the concepts, insights, practical tools and decision support systems that are important for the effective managements of supply chains. Long-term strategic design issues, shorter-term tactical and operational issues are closely examined. State-of-the-art concepts of globally optimal decision making, often across traditional organizational boundaries are emphasized.

OPM 325 [Min Grade: D]

Not repeatable for credit

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4 years 44 weeks ago

OPM 342 - Sustainable Supply Chain Management and Logis

Level: Credits: 4.0

This course is a survey of solutions and techniques to design, evaluate, and improve supply chain operations with the goal of promoting environmental, social, and economic sustainability. Topics include product and process design for sustainability, cradle-to-cradle design, green sourcing and procurement, reverse logistics and closed-loop supply chains, supply chain coordination for sustainability, end-of-life management, facilities location and design, sustainable transportation and logistics solutions.

OPM 341 [Min Grade: C-]

Not repeatable for credit

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1 year 25 weeks ago

OPR 320 - Linear Models for Decision Making

Level: UG Credits: 4.00

Applies modeling and mathematical techniques to complex decision problems in business, with a focus on deterministic systems. Covers linear programming, integer programming, goal programming and networks.

MATH 102 [Min Grade: D] or MATH 122 [Min Grade: D]

Not repeatable for credit

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1 year 37 weeks ago

OPR 330 - Advanced Decision Making and Simulation

Level: UG Credits: 4.00

Applies modeling and mathematical techniques to complex decision problems, with a focus on nonlinearity and uncertainty in the business environment. Covers nonlinear programming, dynamic programming, queuing theory, Markov Processes, decision analysis and simulation.

OPR 320 [Min Grade: C-] and (STAT 201 [Min Grade: C-] or STAT 205 [Min Grade: C-])

Not repeatable for credit

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1 year 16 weeks ago

OPR 601 - Managerial Decision Models and Simulation

Level: GR Credits: 3.00

Introduces students to the basic modeling tools and techniques for making managerial decisions in a complex and dynamic business environment. Topics include linear, discrete, and nonlinear optimization, multicriteria decision making, decision analysis under uncertainty, and simulation.

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Not repeatable for credit

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1 year 16 weeks ago

OPR 620 - Operations Research I

Level: GR Credits: 3.00

Covers theory and applications of linear programming, including the simplex method, sensitivity analysis and duality, formulation and solution of transportation and network optimization problems. Extensions include game theory, quadratic programming, financial optimization, and emerging solution techniques such as interior-point methods.

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Not repeatable for credit

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4 years 44 weeks ago

OPR 622 - Operations Research II

Level: GR Credits: 3.00

This course covers modeling and solving optimization problems under uncertainty. Topics will include stochastic processes, queueing systems and dynamic programming.

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Not repeatable for credit

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1 year 16 weeks ago

OPR 624 - Adv Mathematical Program

Level: GR Credits: 3.00

This course covers algorithms and software development for nonlinear programming, integer programming, and global optimization. Special emphasis is placed on solution methods for constrained and unconstrained nonlinear optimization, a survey of methods for integer linear and nonlinear optimization, and search techniques for global optimization.

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Not repeatable for credit

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4 years 44 weeks ago

OPR 626 - System Simulation

Level: GR Credits: 3.00

This course focuses on the application of simulation in analyzing complex systems. The corresponding theory is also covered.

STAT 601 [Min Grade: C] or STAT 610 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

OPR 922 - Oper Research Methods I

Level: GR Credits: 3.00

Covers theory and applications of linear programming, including the simplex method, sensitivity analysis and duality, formulation and solution of transportation, and network optimization problems. Extensions include integer programming, quadratic programming, and emerging solution techniques such as interior-point methods.

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Not repeatable for credit

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4 years 44 weeks ago

OPR 924 - Operations Research Methods II

Level: GR Credits: 3.00

This course covers modeling and solving optimization problems under uncertainty. Topics will include stochastic optimization, queueing systems, and dynamic programming.

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Not repeatable for credit

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1 year 16 weeks ago

OPR 992 - Applied Math Programming

Level: GR Credits: 3.00

This course covers algorithms and software development for nonlinear programming, integer programming, and global optimization. Special emphasis is placed on solution methods for constrained and unconstrained nonlinear optimization, a survey of methods for integer linear and nonlinear optimization, and search techniques for global optimization.

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Not repeatable for credit

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4 years 44 weeks ago

POM 601 - Operations Management

Level: GR Credits: 3.00

This course is an introduction to the field of production and operations management (POM). Production and operations activities such as forecasting, capacity planning, inventory control, scheduling, and ensuring quality are discussed from the supply chain perspective. The philosophies and characteristics of lean operations and responsive manufacturing/service systems are highlighted.

STAT 601 [Min Grade: C] or STAT 610 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

POM 602 - Strategic Operations & Quality

Level: GR Credits: 3.00

The integration of an organization's strategy with production/operations functions and high performance quality management practices. Topics include: operations & supply strategy and strategic fit, strategic capacity management, supply chain strategy, planning & controlling the supply chain, quality theory and strategic quality planning, quality improvement & cost reduction, operational quality planning, and managing supplier quality in the supply chain.

POM 601 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

POM 620 - Mgmt Manufacturing Firms

Level: GR Credits: 3.00

Analyzes manufacturing management, strategic planning, process evaluation and design, capital budgeting, facility location, job design and work measurement, forecasting, production-inventory systems, quality planning and control, and maintenance planning and control.

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Not repeatable for credit

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4 years 44 weeks ago

POM 624 - Management of Service Firms

Level: GR Credits: 3.00

Analyzes service firms (e.g., hotels, restaurants, transportation companies, and banking firms), including relevant decision models, such as manpower scheduling, and case studies.

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Not repeatable for credit

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4 years 44 weeks ago

POM 625 - Supply Chain Management

Level: GR Credits: 3.00

This course presents the concepts, practical tools, and support systems that are important for the effective management of supply chains. Strategic design and tactical and operational issues will be examined. In particular, relatively novel state-of-the-art concepts of globally optimal decision-making across traditional organizational boundaries will be emphasized.

POM 601 [Min Grade: C]

Not repeatable for credit

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1 year 16 weeks ago

POM 642 - Sustainable Supply Chain Management and Logis

Level: Credits: 3.0

This course presents management case studies on designing, evaluating, and improving supply chain operations with the goal of promoting environmental, social, and economic sustainability. Topics include product and process design for sustainability, cradle-to-cradle design, green sourcing and procurement, reverse logistics and closed-loop supply chains, supply chain coordination for sustainability, end-of-life management, facilities location and design, sustainable transportation and logistics solutions.

POM 625 [Min Grade: C-]

Not repeatable for credit

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1 year 37 weeks ago

POM 900 - Decision Processes in Operations Management

Level: GR Credits: 3.00

This course is a broad survey of managerial decision making areas within the operations function of organizations. The focus is on design or strategic, as well as statistical and control issues, with a strong emphasis on mathematical modeling of decision processes and systems.

OPR 922 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

POM 922 - Inventory Models Seminar

Level: GR Credits: 3.00

Major managerial and economic issues involving inventory management in manufacturing and services firms are examined in detail. The focus is on the development and application of operations research and applied probability based mathematical modeling approaches towards inventory decisions.

POM 900 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

POM 925 - Supply Chain Management Seminar

Level: GR Credits: 3.00

Supply chain management encompasses all the physical and information flows that play a role in satisfying customer demand for goods and services. This course emphasizes mathematical approaches towards the development and implementation of solutions in the various strategic, tactical and operational aspects of integrated supply chains.

POM 922 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

POM 930 - Scheduling Theory

Level: GR Credits: 3.00

This course focuses on issues of scheduling resources in organizations. In particular, problems that arise in operations, employee and project scheduling will receive attention. The major emphasis is on mathematical modeling techniques that aid and support managerial decisions in this area.

POM 900 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

STAT 201 - Introduction to Business Statistics

Level: UG Credits: 4.00

This introductory first course in business statistics focuses on applications of data analysis and statistics in business and economics. Topics covered include descriptive statistics and graphical presentation, probability, statistical inference, and simple regression analysis.

MATH 102 [Min Grade: D] or MATH 121 [Min Grade: D] or MATH 183 [Min Grade: D]

Not repeatable for credit

Cannot enroll if classification is Freshman

4 years 44 weeks ago

STAT 202 - Business Statistics II

Level: UG Credits: 4.00

This second course in business statistics focuses on widely used data analysis techniques in business and economics. Topics include two sample procedures, categorical data analysis, analysis of variance, regression analysis and other statistical applications as time permits. Applications are covered through practical data analysis examples.

STAT 201 [Min Grade: C]

Not repeatable for credit

Cannot enroll if classification is Freshman

4 years 44 weeks ago

STAT 205 - Statistical Inference I

Level: UG Credits: 4.00

Commerce and Engineering students only. Covers descriptive statistics, elementary probability theory, discrete and continuous random variables and probability distributions, joint distribution functions, expected values, statistical measures, sampling distributions, and point and interval estimation.

MATH 122 [Min Grade: D]

Not repeatable for credit

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4 years 44 weeks ago

STAT 206 - Statistical Inference II

Level: UG Credits: 4.00

Commerce and Engineering students only. Topics include hypothesis testing, two sample procedures, analysis of variance models, regression analysis, use of computer statistical programs and other statistical applications as time permits.

STAT 205 [Min Grade: D]

Not repeatable for credit

Cannot enroll if classification is Freshman

1 year 37 weeks ago

STAT 325 - Six-Sigma Quality Implementation

Level: UG Credits: 4.00

Focuses on current theory and practice in Six-Sigma implementation for quality monitoring and improvement. Topics include the dynamic nature of quality, Six-Sigma implementation, and the roles of management in planning and guiding quality efforts. The fundamentals of managerial and statistical methods for quality monitoring and improvements are covered.

STAT 201 [Min Grade: C-] or STAT 205 [Min Grade: C-]

Not repeatable for credit

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4 years 44 weeks ago

STAT 331 - Introduction to Data Mining for Business

Level: Credits: 4.0

This course introduces students to the fundamental ideas of data mining methods, including dimension reduction, cluster, classification and regression trees, and logistic regression. The emphasis is understanding the application of methods rather than on mathematical and computational foundations. All applications are business-oriented.

STAT 202 [Min Grade: C-] or STAT 206 [Min Grade: C-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 335 - Introduction to Experimental Design

Level: Credits: 4.0

The purpose of this course is to introduce the student to the fundamentals of experimental design, including the planning, conducting, and analysis of statistically designed experiments. Randomized, factorial, fractional and Plackett-Burnam designs are covered with an emphasis on business applications.

STAT 202 [Min Grade: C-] or STAT 206 [Min Grade: C-]

Not repeatable for credit

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1 year 26 weeks ago

STAT 335 - Introduction to Experimental Design

Level: Credits: 4.0

The purpose of this course is to introduce the student to the fundamentals of experimental design, including the planning, conducting, and analysis of statistically designed experiments. Randomized, factorial, fractional and Plackett-Burnam designs are covered with an emphasis on business applications.

STAT 202 [Min Grade: C-] or STAT 206 [Min Grade: C-]

Not repeatable for credit

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1 year 25 weeks ago

STAT 601 - Business Statistics

Level: GR Credits: 3.00

This course covers the basic principles and implementation techniques of descriptive statistics, sampling, statistical inference, analysis of variance, and regression analysis. An understanding of how these tools can support managerial decision making is emphasized.

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Not repeatable for credit

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4 years 44 weeks ago

STAT 610 - Statistics for Business Analytics

Level: Credits: 3.0

This course covers the basic principles and implementation techniques of analysis of variance, simple and multiple regression analysis. An understanding of how these tools can support business analytics is emphasized. The course covers not just methods, but theory, too.

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Not repeatable for credit

Can enroll if classification is PhD.

1 year 37 weeks ago

STAT 626 - Statistical Sampling

Level: GR Credits: 3.00

Covers random processes; sampling frames; properties of estimators; simple random sampling, stratified sampling, cluster sampling, and stratified cluster sampling; ratio estimates; reliability and validity; and construction of survey instruments.

STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 628 - Regress & Corr Analysis

Level: GR Credits: 3.00

Covers techniques used in simple and multiple regression analysis, including residual analysis, assumption violations, variable selection techniques, correlated independent variables, qualitative independent and dependent variables, polynomial and non-linear regression, regression with time-series data and forecasting. Applications related to business decision-making will be emphasized.

STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 630 - Multivariate Analysis

Level: Credits: 3.0

An introduction to multivariate statistics that focuses on the use of statistical methods for exploring and discovering information in large business datasets. Topics will be drawn from clustering and discriminate analysis for classification, principle components analysis for data exploration and variable reduction, factor analysis for indentifying latent variables, and other traditional multivariate topics.

STAT 601 [Min Grade: C] or STAT 610 [Min Grade: C]

Not repeatable for credit

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1 year 37 weeks ago

STAT 632 - Datamining for Managers

Level: Credits: 3.0

Datamining focuses on extracting knowledge from large datasets. This course introduces the student to several key datamining concepts including classification, prediction, data reduction, model comparison and data exploration. Software and datasets are employed to illustrate the concepts.

STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 634 - Quality & Six-Sigma

Level: GR Credits: 3.00

This course covers the current theory and practice in quality, with a focus on Six-Sigma Implementation. Topics will include the dynamic nature of quality, the roles of management in planning and guiding quality efforts, as well as the fundamentals of statistical methods for quality monitoring and improvement.

STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 636 - Experimental Design

Level: GR Credits: 3.00

Introduces design of experiments. Covers topics including scientific approach to experimentation, completely randomized designs, randomized complete block designs, Latin square designs, factorial designs, two-factorial designs, fractional factorials, nested and split plot designs, response surfaces designs, and Taguchi methods.

STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-]

Not repeatable for credit

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1 year 37 weeks ago

STAT 642 - Data Mining for Business Analytics

Level: Credits: 3.0

This course introduces students to the methods of data mining and how to apply them to business problems. Included are logistic regression, trees, neural networks, support vector machines, and marketbasket analysis. Data preparation, visualization, and feature selection also are addressed, as are boosting and random forests.

STAT 610 [Min Grade: C]

Not repeatable for credit

Can enroll if classification is PhD.

1 year 37 weeks ago

STAT 924 - Multivariate Analysis I

Level: GR Credits: 3.00

An introduction to multivariate statistics with topics that may include but are not limited to Matrix Algebra, the Multivariate Normal Distribution, Multivariate Analysis of Variance, Tests on Covariance Matrices, Discriminant Analysis, Multivariate Regression, Canonical Correlation, Principle Component Analysis, factor Analysis, and Cluster Analysis.

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Not repeatable for credit

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1 year 16 weeks ago

STAT 925 - Multivariate Analysis II

Level: Credits: 3.0

This course is the sequel of STAT 924. STAT 924 discussed linear regression, PCA, EFA, CFA, cluster analysis, ANOVA, discriminant analysis, logit, canonical correlation, and MDS Using SAS. This course builds on that baseline by continuing into GLM models and then exploratory regression models.

STAT 924 [Min Grade: B]

Not repeatable for credit

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1 year 16 weeks ago

STAT 931 - Statistics for Economics

Level: GR Credits: 3.00

This course will cover the traditional introductory statistics topics; descriptive statistics, probability theory, random variables, discrete and continuous probability distribution, sampling distributions, estimation, and hypothesis testing. Then well move on to a more advanced topic: regression analysis.

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Not repeatable for credit

Can enroll if program is PHD.

1 year 37 weeks ago

STAT 932 - Statistics for Behavioral Science

Level: GR Credits: 3.00

This course provides a non-theoretical coverage of common statistics topics for students in the behavioral sciences. These may include, but are not limited to descriptive statistics, probability theory, random variables, discrete and continuous probability distributions, sampling distributions, estimation, hypothesis testing, analysis of variance, & regression. Emphasis is put on and examples are of behavioral topics.

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Not repeatable for credit

Can enroll if program is PHD.

4 years 44 weeks ago

STAT 997 - Research Activity for PhD Student in STAT

Level: Credits: 0.5-12.0

PhD candidates in Decision Sciences and MIS in their second year undertake research activity with their advisor prior to defending their dissertation proposal. This course is designated to record that activity. The student is expected to conduct all major numerical studies and provide all theoretical support for their work, in the case of analytical modeling research, or to have built the model and started on the data collection, in the case of empirical research. It is expected that upon completion of this requirement, the student will make any final minor edits and submit the paper to a leading conference, preferably a referred one, by the end of the summer quarter.

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Can be repeated multiple times for credit

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1 year 16 weeks ago

Advising