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2018-2019 Graduate Catalog [ARCHIVED CATALOG]
Course Descriptions
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Management Science and Information Systems |
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MSIS 613 - Information Security, Privacy, and Regulatory Compliance
3 Credit(s)
Description:
This course provides a broad overview of the threats to the security of information systems, the responsibilities and basic tools for information security, and the levels of training and expertise needed in organizations to reach and maintain a state of acceptable security. Topics include an introduction to confidentiality, integrity, and availability; authentication models and protection models; intrusion detection and response; operational security issues physical security issues; and personnel security. Additional topics include policy formation and enforcement; access controls and information flow; legal and social issues; identification and authentication in local and distributed system; classification and trust modeling; and risk assessment.
033518:1
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MSIS 614 - Business Data Communications & Computer Networks
3 Credit(s)
Description:
This course develops a managerial level of technical knowledge and terminology for data, voice, image, and video communications and computer networks to effectively communicate with technical, operational and management personnel in telecommunications. Students are expected to understand the concepts, models, architectures, protocols, standards, and security for the design, implementation, and management of digital networks and apply data communications concepts to situations encountered in industry; learn general concepts and techniques of loc area networks (LAN), wireless local area networks (WLAN), and wide area networks (WAN); and understand the technology of the Internet and the regulatory environment. Other topics introduced include network operating systems, e-commerce and associated web sites and practices, as well as middleware for wireless systems, multimedia, and conferencing.
Enrollment Requirements:
MBAMS 640 or MSIS 640 or MS 640 BUSADM students only
022118:1
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MSIS 615 - Business Programming
3 Credit(s)
Description:
This course is designed to provide students with essential programming skills in current business and analytical world. It exposes students to selected modern programming topics such as object-oriented programming (OOP), functional programming (FP), database integration, web APIs, and mobile/location based system programming. Students will learn how to program to solve analytical business problems.
Enrollment Requirements:
BUSADM graduate degree students only
022122:1
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MSIS 617 - Management of the Supply Chain
3 Credit(s)
Description:
This course examines how to create opportunities for revolutionizing manufacturing and logistics, with increased efficiencies in designing, operating, and managing supply chains. This course will present state-of-the-art models and practical tools for supply chain management and multi-plant coordination. Sessions focus on effective logistics strategies for companies operating in several countries and on the integration of supply chain components and their associated information workflows into a coordinated system to increase service levels and to reduce costs. The effective use of the Internet and developments in information systems and communication technologies are presented with real-world case studies that illustrate and analyze important concepts, such as strategic partnering and outsourcing.
033019:1
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MSIS 618 - Database Management
3 Credit(s)
Description:
This course introduces the fundamental concepts necessary for the design, use, and implementation of database systems. The course stresses the fundamentals of database modeling and design, the languages and facilities provided by database management systems, and the techniques for implementing relational database systems. Upon completion of the course, the students will be able to use Entity-Relationship Diagrams as a tool to assist in logical database design, be able to design logical databases in third normal form, be able to identify current issues in the uses of database management systems, be able to identify issues in physical database implementation, and gain familiarity with industrial-strength database management systems.
022955:1
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MSIS 619 - Systems Analysis and Design
3 Credit(s)
Description:
The basic premise of the course is the analysis and logical design of information systems development to support business process. Object-oriented software development is now mature. The technology and the acceptance of the object-oriented development have moved far faster in the marketplace than in the classroom. The theory has been tempered and enriches by experience and by experiments. From modeling to analysis and from design to programming, object-oriented methods and tools have proven to be winners. This course provides a firm grounding in the theory of object orientation and a balance between theory and practice; It covers Unified Modeling Language (UML), the de facto standard for object-oriented business systems analysis and design and offers hands-on experience by using Computer Aided Software Engineering (CASE) tools for real-world problem-solving.
Enrollment Requirements:
MBAMS 640 or MSIS 640 or MS 640 BUSADM students only
022107:1
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MSIS 620 - Customer Relations Managment and Technology
3 Credit(s)
Description:
The course will provide students with insight into the dynamic discipline of Customer Relationship Management (CRM) and information technologies that can support CRM. Customer Relationship Management (CRM), is a strategic methodology currently being adopted by many organizations in an effort to enhance their competitive advantages. It recognizes customers as the core of the business and argues that a good relationship between the customer and the organization, if sustained over time, can lead to growing customer satisfaction and organization profitability. More and more businesses have adopted various information technologies to support and enhance CRM strategies. This course will review CRM theory, its impact on sales and marketing strategies, and the roles played by information technologies in CRM. Microsoft Dynamics (TM) CRM 3.0 will be used in the course to demonstrate CRM technologies.
Enrollment Requirements:
MBAMS 640
035086:1
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MSIS 621 - Information Technology Services and Operations
3 Credit(s)
Description:
This course is designed to teach the best practices in IT operations management, particularly in organizational IT service creation, IT service quality improvement, and effective IT cost management. The course topics will also include emerging trends and issues relating to today’s IT operational environments, such as service-oriented architecture and cloud computing. Through this course, students will achieve practical knowledge and management skills regarding IT components in contemporary firms and their deployment and utilization to optimize organizational IT value. This course will provide students a unique learning experience on those vital, yet unexplored topics and thus make them more successful as a current or future IT manager.
037409:1
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MSIS 623 - Network and Mobile Forensics
3 Credit(s)
Description:
This course deals with the collection, preservation, and analysis of network generated digital evidence such that this evidence can be successfully presented in a court of law (both civil and criminal). The course provides a comprehensive understanding of network forensic analysis principles as well as an introduction to mobile (i.e. Cell-phone/PDA) forensics. Within the context of forensics security network infrastructures, topologies, and protocols are introduced. Students will understand, learn, and experience the relationship between network forensic analysis and network security technologies.
037871:1
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MSIS 624 - Digital Forensics/Malware Analysis
3 Credit(s)
Description:
This course provides an introduction to advanced digital forensics topics relating to malicious software (malware) and its analysis. Malware (virus, worms, rootkits, spam…) represents an increasing information security threat to computer systems and networks. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks on multiple platforms (e.g.Windows, Linux..). Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures in the context of malware. In addition, students will study remediation measures for malware infection.
037872:1
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MSIS 627 - Business Computer Forensics and Incident Response
3 Credit(s)
Description:
This course provides a strategic exploration into the prevention and response to intentional abuse of business information systems. This abuse frequently leads to diversion of resources, interruptions of service and corruption of data and develop into a variety of losses that can seriously impair an organization’s performance. Students will be prepared to plan and manage organizational incident and forensics preparedness, including information security policies, information controls, information practices, incident response plans, forensic readiness, and preservation of evidence in the form of electronically stored information. The course includes experiments in the use of forensics tools for investigation of organizational policy violations.
037571:1
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MSIS 630 - Project & Change Management
3 Credit(s)
Description:
This course provides an understanding on how to manage projects in the context of change. The course discusses concepts and techniques in project management such as planning, scheduling and implementation. It also provides students with an understanding of change management as relevant to project management in a dynamic organizational environment. The course also develops an understanding of the software tools employed for project management. It applies the concepts and software to hypothetical and real world cases.
022125:1
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MSIS 631 - Operational Risk Management
3 Credit(s)
Description:
This course discusses the role of “operational risk management” in different aspect of business. The course starts with a session of definitions and preliminary discussions to show the big picture of the risk management discipline. The course then shows how different risks that an organization faces can be categorized according to their natures, probabilities and impacts. This is followed by describing how the probability of these risks can be reduced and how the impacts can be mitigated. The course finally focuses on how an organization can recover faster and more efficiently from a realized risk. Throughout this course, the emphasis is to show not only the importance of managing the inevitable risks as source of opportunity for organizations. This course is different form “financial risk management” since it does not discuss financial instruments to hedge against risks. Rather it tries to show how “operational decisions” can influence the probability and impacts of different types of risks. In addition, this class disc uses how to plan for recovery process.
036749:1
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MSIS 632 - Introduction to Health Informatics
3 Credit(s)
Description:
The course provides core definitions and concepts of systems in general and healthcare in particular. Examples of HIT systems from a variety of settings as well as functional aspects of interoperability within and between systems are examined. The concepts of usability, consistency, and reliability in regards to HIT systems and how each contributes to, or detracts from, effectiveness will be presented. An overview of the concepts of privacy, security, and confidentiality of protected health information (PHI) in relation to HIT systems will be presented. Patient-centered care will be defined and explained. The course is concluded with a focus upon future directions for HIT. New areas of research and development in HIT will be examined. Students will gain a foundational understanding of these areas and will debate appropriateness and feasibility of new HIT development areas.
038626:1
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MSIS 633 - Health Information Exchange: Management & Technology
3 Credit(s)
Description:
The course emphasizes the values and principles of quality healthcare via integration and access to reliable patient and transaction information. The basic premise of the course is health information exchange defined as “the electronic movement of health related information among organizations according to nationally recognized standards.” There are substantial barriers, however, to the exchange of health information through electronic interoperability. Such an exchange would require extended technical and political processes and involve standardization and modification of current information systems. Electronic exchange of health information also raises questions about policies and procedures regarding confidentiality, security, and identity management. The success of interoperability between healthcare computer systems depends on implementation and deployment of appropriate standards, such as Health Information Technology Standards Panel (HITSP) and Health Level Seven International (HL7). As the nature of healthcare is evolving due to advances in technology, health information exchange is taking an important role to improve the quality of healthcare.
038629:1
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MSIS 634 - Health Information Privacy & Security
3 Credit(s)
Description:
This course addresses security, privacy and compliance issues as they impact health information systems. The course explores and evaluates the moral and ethical concepts of information security. Students will explore security issues including the importance of establishing a health care organization wide information security program, the ability to identify significant threats, learn about security standards, best practices, emerging issues and lessons learned from case studies. The overall goal of the course is the evaluation and implementation of security in the healthcare environment.
038630:1
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MSIS 635 - Health Information Analytics
3 Credit(s)
Description:
This course covers concepts and tools that aid decision making in healthcare by applying data-driven, computer-based tools to healthcare problems. This course aims to introduce the emerging information technologies for management support through data analysis and business intelligence systems. The course helps students learn the importance of proper formatting of data in order to obtain high quality results; study the need for management support and business intelligence requirements beyond typical transactional information systems; identify appropriate tools and techniques required for implementation of business intelligence systems applied to the health care industry.
038631:1
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MSIS 636 - Healthcare Operations Management
3 Credit(s)
Description:
Operations Management studies the design and management of the processes that transform inputs into finished goods or services. Operations are one of the primary functions of any organization. This course focuses on ways and means to improve healthcare operations, with specific focus on the use of analytical methods and techniques to improve healthcare processes. Topics include reducing patient wait times, measuring productivity, streamlining process flows, tracking outcomes and performance metrics, capacity management, healthcare supply chain and generally improving health management processes. The level of analysis varies considerably from operations strategy to daily control of business processes. The objective of this course is to assist students in building the skills necessary to participate actively in decision-making involving healthcare management issues.
037873:1
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MSIS 642 - Multivariate Statistics and Regression Analysis
3 Credit(s)
Description:
The goal of this course is to develop statistical data analysis skills in business analytics applications. The content of this course covers multivariate statistics which analyzes problems in which multiple variables are simultaneously present and various regression applications for business, such as simple linear regression, multiple regression, and logistic regression etc., and also how to solve various issues that we might face during those applications. This course will be the foundation for applied quantitative research for business analysts and business researchers. Our main goal is to identify the signal or key features of the data. The course will cover the major techniques in this field. The focus will be on practical issues such as selecting the appropriate approach and how to prepare the data.
039933:1
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MSIS 643 - Decision and risk analysis
3 Credit(s)
Description:
Decision and risk analysis combine elements of probability, economics, logic, psychology and domain knowledge to characterize and analyze complex decision problems. Practitioners in this discipline apply mathematical and computational decision support tools grounded and, methods for populating models. A large number of applied models are available for different real-world problems or problem classes. Students will gain familiarity with the basic theory and methods from classic and recent texts, and will examine some real world applications from recent journal publications. There will be particular focus on connections between the approaches covered and developments in information systems and in analytics. The course will involve portions of problem sets and projects.
039934:1
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MSIS 656 - Information Storage Management
3 Credit(s)
Description:
This course provides a comprehensive overview of network-based storage technology and information storage infrastructure. Major topics include the storage architectures, service features, benefits of Intelligent Storage Systems, and Storage Virtualization. Networked storage technologies include fiber channel (FC), based Storage Area Network (SAN), Network Attached Storage (NAS), and IP-SAN. Advanced storage technologies on Content Addressed Storage (CAS), information security, and networked storage virtualization are also discussed.
Enrollment Requirements:
College of Management graduate degree student
037493:1
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MSIS 670 - Enterprise Business Intelligence
3 Credit(s)
Description:
This course is designed to accomplish the following goals: (1) explain what business intelligence can offer to organizations; (2) demonstrate how business intelligence is used in the real world; and (3) provide an action plan for identifying and acting on the BI opportunities that exist in our organization. The first part of the course covers “business Intelligence Foundations.” This part defines business intelligence and describes its role in the effective management of an organization. It covers the business, technical, and human components of BI and sets the stage for case studies in part two. Part two, “Business Intelligence Case Studies” presents five real world BI successes to illustrate the application of BI. Part three, “A business Intelligence Roadmap” describes a framework and processes for identifying, evaluation, and acting on specific BI opportunities.
Enrollment Requirements:
MBAMS 640 AND College of Management graduate
037496:1
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MSIS 671 - Enterprise Data Warehousing for Business Intelligence
3 Credit(s)
Description:
This course provides a comprehensive overview of data warehousing together with an in-depth treatment of planning, design, deployment, and ongoing maintenance issues. Students will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and information delivery. Topics include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architectures, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. Includes hands-on exercises in commercial data warehousing modeling and implementation tools and perform case analysis.
Enrollment Requirements:
MBAMS 640 AND College of Management graduate
037497:1
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MSIS 672 - Enterprise Data Mining and Predictive Analytics
3 Credit(s)
Description:
This course provides an introduction to data mining by exposing the theory behind the analytical concepts. It discusses data mining techniques and their use in strategic business decision making. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, association, classification, prediction, time series forecasting, clustering, induction techniques, neural networks, and others. During the semester-long course, students work in teams on solving a business problem of their choice, using data mining tools and applying them to data (e.g., SPSS modeler). Data Mining provides a solution to organizations requests for emerging operational patterns that may add value to their business. The course includes the development of concepts used for building frameworks needed in analyzing useful patterns in databases through the application of practical methods.
Enrollment Requirements:
MBAMS 640 AND College of Management graduate
037498:1
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MSIS 680 - Advanced Data Mining
3 Credit(s)
Description:
As organizations have become more and more readily able to collect massive quantities of data, they are increasingly recognizing data as one of their most valuable assets. Many organizations consider their ability to acquire data, utilize data mining, and build predictive models as key core competencies, and many are realizing benefits from fact-based decision-making. For those ends, data mining is used to find patterns and relationships that lie within data, and to build predictive models for fact-based decision-making. This course covers data mining algorithms in depth, including techniques for classification, association, and clustering. It also covers techniques for mining text data, such as Latent Semantic Analysis and Latent Dirichlet Allocation. This course focuses real world applications to develop the understanding of appropriate approaches for gathering data and use data mining algorithms to build effective predictive models.
Enrollment Requirements:
MSIS 642 and MSIS 672
039935:1
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MSIS 682 - Linear Programming
3 Credit(s)
Description:
This course teaches linear optimization techniques that are powerful and important tools in analytics area. Linear optimization can be used for mining and analytics of complex systems in business world, which can greatly impact the decision making process in this area. This course primarily focuses on linear programming techniques and emphasis on their applications in solving real-world practical problems. It focuses on effective formulation techniques, basic mathematical and algorithmic concepts, and software solution of large-scale problems arising in business analytics applications.
039936:1
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MSIS 683 - Business Analytics Project
3 Credit(s)
Description:
Students will demonstrate skills and integration of knowledge where they will work on a semester-long project, particular to their specialization. Particularly, students will synthesize and integrate knowledge acquired in coursework and other learning experiences and to apply theory and principles in a situation that approximates some aspect of professional practice. It will be used as one means by which faculty judge whether the student has mastered the body of business analytics and can demonstrate proficiency in the required competencies.
Enrollment Requirements:
MSIS 672
039937:1
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MSIS 685 - Introduction to Big Data Analytics
3 Credit(s)
Description:
Course covers a new and increasingly popular method of managing data using large scale data analysis. The advent of the internet, Social Media and subsequently machine generated data has enabled social scientists to have access to massive datasets about the behavior of millions (or billions) of people or objects. However, collecting, storing, and analyzing this data isn’t straightforward and requires specific skills. The goal of this course is to help students gain the skills required for this type of research while exposing them to tools and big data research streams. The course will help students understand both the challenges and the opportunities and assist them to appreciate Big Data applications.
Enrollment Requirements:
MSIS 618 and MSIS 642
039938:1
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MSIS 696 - Independent Study
1 - 6 Credit(s)
Description:
Study of a particular area of this subject under the supervision of a faculty member.
034994:1
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Mathematics |
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MATH 545 - Probability & Statistics I for Secondary Teachers
3 Credit(s)
Description:
This course presents the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. Topics also include basic ideas and techniques of statistical analysis.
033049:1
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MATH 570 - History of Mathematics for Secondary Teachers
3 Credit(s)
Description:
This course traces the development of mathematics from ancient times up to and including 17th century developments in the calculus. Emphasis is on the development of mathematical ideas and methods of problems solving. Attention will also be paid to the relevance of history to mathematics teaching as well as investigation into the origins of non-Euclidean geometry even though this comes well after Newton and Leibniz, because of its relatively elementary character and fascinating nature.
033093:1
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MATH 597 - Special Topics
1 - 6 Credit(s)
Description:
An advanced course offering intensive study of selected topics in mathematics.
038151:1
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MATH 620 - Combinatorial Analysis
3 Credit(s)
Description:
This course is an introduction to combinatorics: a branch of mathematics that studies the existence, enumeration, analysis, and optimization of discrete structures that satisfy certain properties. Topics include counting distributions and colorings, sieve methods, generating functions, permutation spaces, partially ordered sets, Ramsey theory, and matching theory, with applications to computational problems.
039227:1
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MATH 625 - Numerical Analysis
4 Credit(s)
Description:
This course provides an introduction to numerical analysis and its applications in practical problems in applied mathematics and engineering. In most scientific modeling projects, investigators have to deal with very large systems of linear and nonlinear equations, understanding of which requires powerful computers and a firm understanding of the vast number of existing pertinent algorithms. The main goal of the course is to provide an introduction to algorithmic and mathematical foundations of high-performance scientific computations. Introductory topics of the course include root finding, fixed point methods, interpolation methods, initial value problems and optimization. Particular emphasis will be on optimization methods, including steepest descent, line search methods, newton methods, quasi-Newton methods, trust regions, theory of constraint optimization and linear programming.
039229:1
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MATH 626 - Numerical Linear Algebra
4 Credit(s)
Description:
This course introduces the essential ideas and computational techniques that modern scientists or engineers will need in order to carry out their work. In most scientific modeling projects, investigators have to deal with very large systems of linear equations, understanding of which requires powerful computers, and a firm understanding of the vast number of existing pertinent algorithms. The main goal of the course is to provide an introduction to algorithmic and mathematical foundations of high-performance matrix computations. Topics include linear algebraic systems, the singular value decomposition (SVD) of a matrix and some of its modern applications. We will discuss Principal Component Analysis (PCA) and its applications to data analysis. We will study linear transformations and change of basis. We will discuss complex vector spaces and the Jordan canonical form of Matrices. We will discuss non-negative matrices and Perron-Frobenius Theory. We will explain multiple matrix factorizations, such as LU, QR, NMF. For each of these topics we will discuss numerical computer algorithms and their implementations. In particular we will discuss in detail eigenvalue estimation, including iterative and direct methods, such as Hausholder methods, tri-diagonalization, power methods, and power methods with shifts. We will explain concepts of numerical analysis that are important to consider when we talk about the implementation of algorithms, such as stability and convergence. We will discuss iterative methods as well as direct ones, their advantages and disadvantages. The methods and their applications will be illustrated using a common programming language such as python and/or R. The course will emphasize mathematical and software engineering methods that will allow students to fully participate at all levels of algorithm design and implementation.
Enrollment Requirements:
Prerequisite: MATH 625 or permission of instructor
039228:1
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MATH 640 - Computational Algebraic Topology
3 Credit(s)
Description:
This course covers foundational aspects of combinatorial algebraic topology with a view towards applications to computational data analysis. It will cover basic geometric-combinatorial constructions, and it will concentrate on the study of invariants associated to topological spaces, such as homology, Euler characteristic, Betti numbers, etc. The mathematical formalism will be as basic as possible and the course will focus on examples. The concept of cubical homology will be discussed and its applications to images. Some other invariants to understand the underlying topology of data sets will be discussed, such as persistent homology as well as other homology theories associated to data sets “approximating” a space. We will give an introduction to computational environments such as JavaPlex and CHomP, to obtain Betti numbers and bar-codes. Some examples to be discussed can include the invariants associated to conformation spaces of proteins, the space of natural images and other higher dimensional examples.
039230:1
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MATH 642 - Probabilistic Simulation
3 Credit(s)
Description:
Simulation is a powerful tool in dealing with systems that are too complex to solve analytically. Probabilistic simulations using Monte Carlo techniques provide a way to emulate the behavior of the system and generate random samples for each output variable of interest that can then be analyzed by statistical methods. This course provides a practical introduction to Monte Carlo simulations and statistical methods for analyzing random samples generated by such simulations. The following topics will be discussed: random number generators, generating continuous and discrete random variables, generating multivariate random variables, statistical analysis of the output data and methods for fitting probability distributions to the data. The course will emphasize the practical implementations of these techniques using the R statistical program language.
039231:1
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MATH 647 - Probability Models
4 Credit(s)
Description:
This is a graduate course on probability models with a strong emphasis on stochastic processes. The aim is to enable students to approach real-world phenomena probabilistically and build effective models. Topics include probability spaces, random variables, conditional probability, Markov chains, Poisson processes, Browian motion, probabilistic simulations.
039232:1
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MATH 648 - Computational Statistics
4 Credit(s)
Description:
This course is an introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered include the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ratiotests, t-test, paired and 2-population t-test, goodness-of-fit tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Statistical software such as R, Matlab, or Python, will be used to analyze real-world data.
Enrollment Requirements:
Prerequisite: MATH 647 or permission of instructor/
039233:1
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MATH 649 - Computational Molecular Biology
4 Credit(s)
Description:
The focus in this course is mainly on the molecular biology of the gene and the fundamental of mathematical models relating to the bioinformatics of analyzing high-throughput biological datasets. We will study mathematical models and computational algorithms that are typically used for analysis and interpretation of omic-scale biological datasets, in particular, gene expression data. The topics that will be covered during the course include basics of the sequence alignment algorithms; quantification of gene expression data from microarray and RNA-seq; regression, clustering, and classification models for genetic stratification; response prediction and biomarker discovery, biophysical models of transcriptional gene regulation post-transcriptional gene regulation by MicroRNAs; structural bioinformatics, and application of Hidden Markov Models (HMMs) to the functional annotation of the genome.
Enrollment Requirements:
: MATH 648 or permission of instructor
040971:1
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MATH 673 - Structure and Dynamics of Complex Networks I: Structural Properties
3 Credit(s)
Description:
This course on complex networks is intended for graduate students in mathematics, physics, biology, computer science and engineering who wish to learn about the major ideas and techniques developed in–and the results recently discovered in–one of the most important interdisciplinary research fields. The main concepts and results are structured so as to be accessible to those with only a good knowledge of basic calculus and probability. The ideas and methods of network theory covered form a foundation for the study of the structure of complex networks. The course is devoted to the introduction of essential network concepts, the development of new network models, and the characterization of the structural properties of real world networks. It will contain topics from graph theory, social networks analysis, statistical physics, systems biology, ecology, and computer science. The course will combine lectures, readings, and discussions of the recent literature. Throughout the course theoretical ideas and methods will be presented in concert with numerous applications. During the course computational methods will be emphasized and appropriate software for network analysis will be used.
039234:1
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MATH 674 - Structure and Dynamics of Complex Networks II: Dynamical Processes
3 Credit(s)
Description:
This course on complex networks is intended for graduate students in mathematics, physics, biology, computer science and engineering who wish to learn about the major ideas and techniques developed in - and the results recently discovered in - one of the most important interdisciplinary research fields. The students will find the main concepts an results presented in a way that is accessible to those with only a good knowledge of basic calculus and probability. They will learn the ideas and methods of network theory that will allow them to study the structure of complex networks. The course is devoted to the introduction of essential network concepts, the development of new network models, and the characterization of the structural properties of real world networks. It will contain topics from graph theory, social networks analysis, statistical physics, systems biology, ecology, and computer science. The course will combine lectures, readings, and discussions of the recent research literature. Throughout the course theoretical ideas and methods will be presented in concert with numerous applications. During the course computational methods will be emphasized and appropriate software for network analysis will be used.
Enrollment Requirements:
MATH 673
039237:1
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MATH 677 - Symbolic Computation
3 Credit(s)
Description:
The course will cover computational arithmetic and algorithms in a number of contexts: floating point, multiple precision, large integer, rational, polynomial and power series, with an emphasis on exact symbolic calculations. Additional topics, including sparse matrix and polynomial operations will be included. The course will be evaluated via programming course projects in a high level language such as C++. The class will not only give theoretical understanding, but will also provide “hands-on” experience in writing mathematical software. By the end of the course, students will be expected to have all necessary practical skills to write and test a mathematical library in a high level language.
039238:1
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MATH 680 - Introduction to Computational Algebraic Geometry
3 Credit(s)
Description:
This course provides a strong foundation for the study of computational algebraic geometry and its applications, both within and outside mathematics. It has two foci. The first is the algebra-geometry dictionary, going back to the ideas of Descartes, by which one can translate geometric ideas into algebraic ones, and vice versa. The second is Buchberger’s algorithm, which extends the familiar Gauss-Jordan elimination procedure to systems of polynomial equation. By means of this algorithm one can compute almost everything worth knowing about affine algebraic varieties. Computer algebra systems will be used for computation and visualization of this algorithm and its ramifications. Applied areas of exploration may include robotics, computer aided design, automatic theorem proving, invariant theory, projective geometry, and computer vision. In addition, highly motivated students will be prepared to participate meaningfully in current research in invariant theory and the geometry of nilpotent orbits.
039239:1
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MATH 696 - Independent Study
1 - 6 Credit(s)
Description:
Study of a particular area of this subject under the supervision of a faculty member.
021850:1
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MATH 697 - Special Topics
1 - 8 Credit(s)
Description:
An advanced course offering intensive study of selected topics in mathematics. Course content varies each semester and will be announced prior to registration.
040972:1
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Mathematics for Teachers |
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MTT 570 - Foundations of Arithmetic for K-8 Teachers
3 Credit(s)
Description:
The foundations of Arithmetic for K-8 teachers course for elementary and middle school teachers examines several domains. The main categories of the of the Common core and MA Frameworks will be addressed, including Algebraic Thinking, Number and Operations for both Base 10 and Fractions, Measurement, Geometry, and Probability. In addition, basic Number Theory topics will be examines, such as factors and multiples, and well as divisibility tests, at both practical and abstract levels. The course also examines concepts of proportional reasoning, place value, and elements of arithmetic that teachers need to be aware of when supporting students’ conceptual understanding of algebra. This course will provide teachers with a deep, yet flexible understanding of the mathematical structures that form the foundation of K-8 mathematics.
039520:1
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MTT 580 - Mathematics for the K-12 Curriculum
3 Credit(s)
Description:
This course reviews and provides in-depth experiences with the mathematics commonly taught in schools, including emphasis on the interdependence and unity of algebra and geometry concepts that are currently part of the K-12 curriculum. More advanced than 300-level MTT courses, it is aimed at In-service teachers.
038408:1
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MTT 597 - Special Topics
1 - 6 Credit(s)
Description:
An advanced course offering intensive study of selected topics in this subject area.
038152:1
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MBA Accounting/Finance |
| |
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MBA AF 601 - Economics for Managers
3 Credit(s)
Description:
Introduces the student to economic principles of particular interest to the firm manager. The course is divided roughly into two parts that deal with macroeconomic and microeconomic issues. In the macro section such key aggregates as gross domestic product, unemployment rate, inflation rate, and balance of payments, which are of importance to the firm manager, are discussed. Discussions focus on a critical examination of how these aggregates are measured and determined in various competing theoretical models. The theory discussed here then serves as an analytical tool in understanding and evaluating economic policies related to such current economic issues as unemployment, inflation, and trade imbalances. In the micro section, emphasis is given to a) the theory of markets, how prices and quantities are determined in markets and factors that affect these prices and quantities; and b) how firms compete in different market environments. Besides concentrating on the theory, special attention is given to how the concepts covered are applied to real-world microeconomic problems.
Enrollment Requirements:
MBAMS 600 and Graduate degree student in Management
021919:1
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MBA AF 603 - Massachusetts In the Global Economy
3 Credit(s)
Description:
This course has four goals. It seeks to provide students with 1) an understanding of the evolving business structure of Massachusetts and its place in US and world goods and service industries; 2) an introduction to country and regional analysis, especially macro-economic analysis and social and organizational analysis, as they pertain to understanding customer-markets, competitors, and comparative investment locations; 3) an introduction to major global economic, technological, and political trends, including changing demographics and regulation, technological “creative destruction,” emerging markets, and transitions to capitalism; and 4) an introduction and overview of industry analysis, focusing on key Massachusetts industries, including financial services and banking, health care products and services, and computer hardware and software. The course involves intensive student research projects and team presentations.
Enrollment Requirements:
Graduate degree students in Management
021922:1
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MBA AF 610 - Accounting for Managers
3 Credit(s)
Description:
Instructs students in the fundamentals of financial and managerial accounting. The financial accounting component presents techniques used to measure business transactions, preparation of financial statements, recording and valuation of assets, owners’ equity, revenue, cost, and expenses. The managerial accounting component deals with techniques for management decision-making, planning, and control.
Enrollment Requirements:
MBA AF 601 and Graduate degree student in Management
009236:1
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MBA AF 611 - Intermediate Accounting
3 Credit(s)
Description:
This course acquaints students with financial accounting theory. Particular emphasis is given to the relationship between theory and such practical problems as the limitations of traditional financial statements and asset and current liability items. Students acquire an understanding of issues unique to corporations and complete the study of the balance sheet by examining long-term debt and equity items.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021928:1
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MBA AF 612 - Cost Accounting
3 Credit(s)
Description:
Examines the use of cost accounting as a means of providing quantitative information for managerial decision-making and control. Emphasizes analysis of cost behavior, cost-volume-profit relationships, budgeting, and performance measurement.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
009238:1
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MBA AF 613 - Federal Tax Planning
3 Credit(s)
Description:
Introduces the concepts of gross income recognition, deductions, tax credits, and the income tax effects of property transactions, with emphasis on managerial decision-making and planning. These concepts are incorporated into discussion of alternative forms of business organization and the tax implications of each.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
009252:1
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MBA AF 614 - Financial and Managerial Auditing
3 Credit(s)
Description:
The objective of this course is to make students aware of, and develop working skills in, the techniques of financial and managerial auditing, and to help then develop judgment in using audit information. Topics include stewardship and the need for auditing; audit evidence and analytical techniques for sampling and drawing inferences; organizational issues in auditing, techniques and methods of managerial and strategic audits and audit reporting.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021935:1
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MBA AF 615 - International Accounting
3 Credit(s)
Description:
This course examines the international dimensions of financial accounting and analysis; the environmental influence of specific countries on international accounting standards and their related impact on financial reporting; and disclosure and analysis worldwide. Specific attention is given to inflation accounting, foreign currency transactions, the translation of foreign financial statements, and the status of international accounting standards.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021938:1
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MBA AF 616 - Financial Statement Analysis/Advanced Accounting
3 Credit(s)
Description:
This course provides a framework for financial statements analysis. The course teaches students to understand how financial statements are generated by focusing on FASB principles. The course also encourages students to research current changes within the accounting framework and to understand how to use the framework to interpret company financial statements. Issues of ethics will be incorporated into the course.
033018:1
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MBA AF 617 - Management of Accounting and Control
3 Credit(s)
Description:
This course is designed to introduce students to the important role management accounting can play in helping managers make informed decisions. In particular, the course emphasizes modern theories of product cost, performance measurement, and management control systems. It uses cases to describe real-world problems and to illustrate such concepts as activity-based cost systems, productivity measurement, and total quality.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021939:1
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MBA AF 618 - Accounting Information Systems
3 Credit(s)
Description:
This course examines information systems used for managerial decision making and external reporting, with specific emphasis on assuring systematic control over accounting information and on the reliability of that information. Computer and telecommunication systems are changing the way companies and non-for-profit organizations do business. As information becomes a competitive tool, line managers are encouraged to get more involved in decision making. Further, as communication between companies and investors continues to shift from lagged formal reports (i.e., financial statements) to tailored, online reports, the importance of computer-based accounting systems will increase.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021941:1
|
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MBA AF 620 - Financial Management
3 Credit(s)
Description:
This course is intended to provide the student with a sound understanding and appreciation of the principles of corporate finance. The course covers the theory and practice of financial decision making by managers and describes how financial theory can be used to address practical problems and to illuminate institutional aspects of the financial world. Topics include the time value of money, capital budgeting, financial statement analysis, asset valuation, portfolio theory, capital structure, dividend policy, long-term financing, and issues of corporate control. The course enables students to develop the skills and intellectual framework for addressing a variety of financial problems.
Enrollment Requirements:
MBA AF 610 and Graduate degree student in Management
021943:1
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MBA AF 621 - Adv Corporate Financ
3 Credit(s)
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021944:1
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MBA AF 622 - Global Portfolio Investment Management
3 Credit(s)
Description:
The aim of this course is to explore portfolio investment management, i.e., the management of wealth in the form of readily marketable securities, in a global context. The focus is on extensions of investment theory and practice to a multi-country field of portfolio choice. Of special concern are variables and constraints that modify concepts and practices useful in the domestic US market. These include the problems of investing in a world of many currencies, differential economic growth, divergent institutional and legal environments, differing tuitional and legal environments, differing national accounting systems, and national valuation norms and practices. The course is of special interest to students preparing for possible careers in brokerage houses; in pension and mutual fund management; and as financial planners.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021946:1
|
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MBA AF 623 - Financial Modeling
3 Credit(s)
Description:
This course introduces the principles and techniques for building financial models, especially in an uncertainty framework. Topics covered include decision support systems, risk analysis, portfolio theory, and capital budgeting under uncertainty. The course integrates financial, accounting, and statistical concepts and techniques to construct financial models and to perform analyses using popular software applications, as well as emphasizing the application of financial modeling techniques in identifying and implementing business solutions. The course is of special interest to students seeking more hands-on experience in constructing financial models and more in-depth knowledge in financial software.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021947:1
|
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MBA AF 624 - Managing Mutual Funds
3 Credit(s)
Description:
This course discusses issues related to the financial management of mutual funds. It covers such unique aspects of mutual funds as their role in the financial markets; the impact on mutual funds of technology and regulatory systems; different types of mutual funds; security valuation; portfolio models; international diversification related to funds; and asset valuation and custodial services. The course is conducted through a combination of lectures and case analyses.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021948:1
|
| |
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MBA AF 625 - Derivative Securities
3 Credit(s)
Description:
Derivative securities are securities such as futures contracts and call options whose value is determined by the value of some other underlying variable. Derivative securities have become an essential tool used in both corporate risk management and portfolio management. This course explores the institutional details of the various markets in which derivatives trade. It introduces the theories which govern the pricing of futures, options, and swap contracts. Practical methods of implementing derivatives-related strategies for hedging risks and gaining specified portfolio exposures are covered, as well as methods used to evaluate the outcomes of these strategies.
021949:1
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MBA AF 626 - International Financial Management
3 Credit(s)
Description:
Describes the body of knowledge, attitudes, and skills required of financial decision-makers operation in a global setting. The phenomenal rise in importance of multinational business finance and concomitant issues is explored in light of recent theoretical and empirical research. Specific topics include foreign exchange, risk management, financing decisions in the long and short run, currency translation, accounting, and taxation.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021951:1
|
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MBA AF 627 - Health System Financial Management
3 Credit(s)
Description:
This course addresses the financial management theory, techniques, and issues applicable to public and private health organizations. Specific topics include budgeting, capital formation, cost finding, reimbursement alternatives, financial analysis, and performance evaluation. The course also evaluates contemporary policy issues affecting the health care administrator.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021954:1
|
| |
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MBA AF 628 - Portfolio Analysis and Investment Management
3 Credit(s)
Description:
This course provides the student with an understanding of capital market securities, operations, valuation, and investment techniques. Specifically, the course covers definitions of various investment vehicles, operation of the NYSE and NASDAQ markets, portfolio theory (CAPM and APT), capital allocation decisions–including discussions of mutual fund selection.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021958:1
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MBA AF 629 - Managing Financial Institutions
3 Credit(s)
Description:
This course focuses on the financial management of financial institutions and covers the management of liquidity, loan portfolio, and capital, as well as overall asset-liability management in depository-type institutions. The course also discusses the strategic implications for such institutions of changing financial and regulatory environment. The course is oriented toward managerial decision-making in the changing environment facing these institutions. The course is conducted through the analysis of cases and through discussions of the kinds of issues that affect decisions.
Enrollment Requirements:
MBA AF 620 and Graduate degree student in Management
021960:1
|
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MBA AF 630 - International Economy & Business
3 Credit(s)
Description:
The objectives of the course are to enhance our understanding of the economies of the world and their interdependence, and to analyze the impact of changing global financial and trade systems on businesses. The course includes topics related to integration such as EU, NAFTA and WTO and international financial systems, such as currency union, fixed and floating exchange rate systems, global credit and currency crisis, IMF and international financing institutions. It also covers financing opportunities for businesses. The thrust of the course is to provide an understanding of dynamic overall global environment particularly in financial and trade areas, and analyze impact and opportunity for business. The course relies heavily on case analysis and active class discussion.
035801:1
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MBA AF 631 - Environmental Accounting and Finance
3 Credit(s)
Description:
Environmental concerns and climate change are emerging as important business drivers and gaining the attention of accountants, financial managers, and investors. As investors and society require companies to become more socially and environmentally sustainable, the measurement, management, and external reporting of information about environmental risks and performance is of growing importance. Topics covered in the course include corporate environmental disclosure and reporting, environmental management accounting, carbon markets, green project analysis, corporate environmental risk assessment and valuation, socially responsible investing, and green banking.
Enrollment Requirements:
MBA AF 620 or permission of instructor
038156:1
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MBA AF 632 - Asset Management Practicum
3 Credit(s)
Description:
The course is designed to give the students a hands-on experience at performing investment research, investing money and managing a portfolio prior to entering the work force. Students are expected to generate investment ideas, research investment opportunities and make buy/sell/hold recommendations based on their analysis. The course will also provide an opportunity for students to work closely with money managers from Boston’s financial services industry via the Student Manage Fund’s advisory board.
Enrollment Requirements:
MBA AF 628
038157:1
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MBA AF 633 - Advanced Federal Taxation
3 Credit(s)
Description:
This course provides students with a comprehensive understanding of tax law and its implication in tax planning opportunities; detailed demonstrations of integrating the tax law with the fundamentals of corporate finance and microeconomics to form viable tax strategies; and training in the application of using the so-called “economic balance sheets” approach in the financial accounting of a transaction. By the end of this course, students will be able to identify the tax implications of a proposed transaction for all parties and articulate possible tax arbitrage opportunities; understand the effect of both explicit and implicit taxes on after-tax cash flows due to changes in opportunities; understand the effect of both explicit and explicit taxes on after-tax cash flows due to changes in corporate transaction structure; and recognize the interaction between tax savings and non-tax costs.
037682:1
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MBA AF 634 - Risk Management
3 Credit(s)
Description:
The goal of this course is to provide students the fundamentals of corporate financial risk management. The first part of this course develops statistical tools and techniques required to identify and measure different aspects of corporate financial risk. Next these measures are used to build, evaluate and understand financial risk management solutions. One key focus of this course is the role of financial engineering in developing business strategy. Specifically how do companies financially engineer to mange risk caused by variables over which it has little control such as commodity prices, inflation, interest and exchange rates? Case methods will be used to highlight the value of identifying, monitoring and managing of such operational, financial risk.
036082:1
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MBA AF 635 - Mergers & Acquisitions
3 Credit(s)
Description:
This course provides a foundation on the challenging and dynamic world of mergers and acquisitions. The goal of the course is to give students a solid understanding of the concepts and issues that are central to the process of mergers and acquisitions; with the intent of discovering the source(s) of value creation within mergers and acquisitions.
036486:1
|
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MBA AF 636 - Quantitative Analysis of Business Data
3 Credit(s)
Description:
The objective of the course is to familiarize students with the analytical foundations of quantitative analysis of business data and data management techniques using statistical/data analysis software. Particular emphasis will be placed on hands-on experience with data analysis and the economic interpretation of empirical findings. The course will focus on learning a number of quantitative techniques employed in finance, economics and management. These techniques include linear regression analysis, panel data models, instrumental variables, time series analysis and limited dependent variable models. The course will use data and applications that are drawn from the finance and economics literature as well as consulting practice. This course will also provide students with analytical tools for the development of a Master’s thesis.
037864:1
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MBA AF 637 - Financial Reporting Fraud Examination
3 Credit(s)
Description:
Financial reporting fraud and earnings manipulation by managements of publicly traded companies are a continuing source of anxiety and concern to investors, creditors, regulators, and others who depend upon financial statements. In recent years the foundations of the capital markets have been “shaken and stirred” by disclosures of management schemes to “cook the books.” As preparation for the emerging field of fraud examination, it is important for students to have a thorough understanding of the nature, prevention, and detection of financial reporting fraud. This course examines various aspects of financial reporting fraud and its impact on financial statements using various techniques.
Enrollment Requirements:
MBA AF 611 or MBA AF 616
037414:1
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MBA AF 690 - Master’s Thesis Option Research Colloquium
3 Credit(s)
Description:
This is the first part of the Master’s Thesis Option (MTO). It covers research and research methods, and is intended to position students to successfully complete a year-long research project of publishable quality. Lectures and discussion will focus on the skills required to develop a research question, how to formulate an appropriate research strategy, and ways to identify necessary analytical tools and locate data sources.
037572:1
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MBA AF 691 - Financial Accounting Theory & Analysis
3 Credit(s)
Description:
This course examines the role of accounting information in the capital markets. Financial statements are widely used by bankers, analysts, and investors to evaluate a firm’s past performance and judge future prospects. Preparation of effective financial statements requires understanding of a firm’s business characteristics and strategy, as well as the accounting policies and practices and procedures that can best reflect true economic reality. This course explores a variety of financial reporting contexts, industries and business strategies to provide students with an understanding of accounting information across various corporate environments.
032287:1
|
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MBA AF 696 - Independent Study
1 - 6 Credit(s)
Description:
Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project in the MBA Office. The proposal should be signed by both the student and the faculty sponsor.
000467:1
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MBA AF 697 - Special Topics
1 - 6 Credit(s)
Description:
This course addresses a specific topic in a particular discipline. Courses under this title are offered as one-time supplements to a given department’s curriculum.
021966:1
|
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MBA AF 699 - Master’s Thesis
3 Credit(s)
Description:
Upon invitation by the faculty, MBA candidates may complete a Master’s thesis. The thesis will be a substantial paper, which demonstrates extensive original research/scholarship in the field. The thesis will be prepared under the direction of an individual faculty advisor and defended before a committee of three faculty members. A thesis proposal must be approved in the semester prior to registration for the course by the proposed faculty advisor and by the Graduate Program Director. During the research and writing process, progress in research and drafts of the thesis will be critiqued in regular conferences with the faculty advisor.
037865:1
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MBA Analysis & Communications |
| |
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MBAACM 681 - Analytical Writing in Management
3 Credit(s)
Description:
This course prepares the management graduate student for advanced writing in other MBA courses, and for effective writing in management. Topics include key ingredients in effective managerial writing; writing as a managerial problem; interpreting and reporting quantitative information; and representative managerial writing situations (e.g., feasibility reports, policy recommendations, research reports).
Enrollment Requirements:
Graduate degree student in Management
021976:1
|
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MBAACM 682 - Oral Communication for Managers
3 Credit(s)
Description:
This course helps students improve their oral communication skills. Its purpose is to improve 1) students’ organizational effectiveness as managers, and 2) students’ personal effectiveness as speakers. Course topics include the communication process, communicating in organizations, the substance of oral communication (argument and persuasion), and the form of communication (organization and delivery).
Enrollment Requirements:
Graduate degree student in Management
021979:1
|
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-
MBAACM 683 - Business Communication for Managers
3 Credit(s)
Description:
Business Communication for Managers is an interactive classroom that promotes effective written an oral communication, critical thinking, and problem solving skills. Through group discussion, writing projects, case studies, and individual and group presentations, students will improve their organizational effectiveness as managers and personal effectiveness as managerial writers, speakers, and listeners.
041187:1
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MBAACM 684 - Written communication for Managers
3 Credit(s)
Description:
This course stresses fundamental theories and strategies needed for effective writing in diverse management situations. The course perspective is that of the manager in a multi-national organization; the course focus is on the impact of written messages on receivers both internal and external to the organization; the course context is communication in the global marketplace, bearing in mind that although English is used extensively in doing business in the world communication is always influenced by culture. Written communication topics include fundamentals such as audience awareness, organizational strategies, content development, and language control; persuasion; intercultural communication; and message channel choices. The course will be writing intensive.
037194:1
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MBAACM 696 - Independent Study
1 - 6 Credit(s)
Description:
Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project in the MBA Office. The proposal should be signed by both the student and the faculty sponsor.
000465:1
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MBAACM 697 - Special Topics
1 - 6 Credit(s)
040250:1
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MBA Management |
| |
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MBAMGT 641L - Organizations, Institutions and Social Change
3 Credit(s)
Description:
Organizations are at the heart of societal governance; profit-seeking corporations mobilize and allocate economic resources, governmental agencies deliver services and regulate other organizations, while numerous non-governmental organizations, from unions to churches to advocacy groups, constitute the realm of civil society. In structuring our society in particular ways, organizations represent a form of structural power; some groups systematically benefit relative to others as a result of how organizations function. Organizations are frequently the target of public policy, as they are sites that generate and reproduce inequality, discrimination, pollution, and other social and economic problems. Organizations can also serve as agents of resistance and change; they are thus the vehicles of public policy. Policy regimes emerge through the interaction of many organizations of different types, with conflicting interests and differential access to power and resources. An understanding of organizations, their sources of power, their role in governance, and their structures and processes, is therefore highly relevant for policy analysts, for activists, and for public and private-sector managers. MBAMGT 641L and PPOL-G 641L are the same course.
Enrollment Requirements:
MGT 650 Co-req = MGT 660
034701:1
|
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MBAMGT 650 - Organizational Analysis and Skills
3 Credit(s)
Description:
This course focuses on the organization of the future, identifying its characteristics and exploring the strategic design and political and cultural implications for working in and managing such an organization. It examines the impact of the new organization on the roles and careers of individual managers, the functioning of groups, the processes that exist within organizations, the relationships of organizations with their environments, and the learning and change practices needed to enhance global performance. First-semester MBA students are introduced to a variety of skills that they will be called upon to use throughout their MBA experience (case analysis, analytical writing, self-awareness, team-building, oral communication).
Enrollment Requirements:
Graduate degree student in Management
022002:1
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MBAMGT 651 - Prsnl Mgt&Hum Res Pl
3 Credit(s)
Description:
This course familiarizes students with concepts of human resources management and the principles of planning and forecasting for human resources needs. Issues to be addressed include career planning and internal labor market analysis, equal employment opportunity and affirmative action practices. Students examine job design and pay systems, methods of personnel selection and training, issues of productivity and hours of work, the effect of government regulations on working conditions, and personnel administration.
Enrollment Requirements:
MBAMGT 650 and Graduate degree student in Management
022006:1
|
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MBAMGT 652 - Labor-Management Relations and the Collective Bargaining Process
3 Credit(s)
Description:
This course familiarizes students with the practice of labor-management relations in the United States. The nature of labor-management conflict, the development of the US labor movement, and a comparison to other Western labor movements provide the theoretical and historical framework needed to assess the effectiveness of current practice and trends in the development of new practices and institutions. The major areas of study are the tactics and strategies of management and union representatives and the legal and economic constraints on their behavior in the organization of unions, contract negotiation, and contract administration and interpretation.
Enrollment Requirements:
MBAMGT 650 and Graduate degree student in Management
022011:1
|
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MBAMGT 653 - Organizational Diagnosis and Change
3 Credit(s)
Description:
This course focuses on the theory, research, and techniques of organizational diagnosis and change. Students learn how to engage in systematic structural and behavioral analyses and to design effective strategies for intervention and change.
Enrollment Requirements:
MBAMGT 650 and Graduate degree student in Management
022013:1
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MBAMGT 654 - Compensation and Benefits Management
3 Credit(s)
Description:
The objective of the course is to understand and apply theories and practices of Compensation and Benefits management in a business enterprise. Topics and issues to be reviewed in this course include; strategic compensation, compensation practice, traditional bases for pay, building compensation systems, employee benefits, executive compensation.
037003:1
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MBAMGT 655 - Healthcare Innovation
3 Credit(s)
040004:1
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MBAMGT 660 - Business and Its Environment
3 Credit(s)
Description:
This course looks at the relationship of business to the external environment and considers business in relation to legal, social, political, and economic systems, focusing in particular on the impact of governmental regulation on business. The course also addresses the functioning of the US business enterprise in the context of the international business environment. Finally, through an examination of the role of ethics in management decision-making, the course explores how business organizations can operate effectively and responsibly in the context of the external environment.
Enrollment Requirements:
Graduate degree student in Management
022016:1
|
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MBAMGT 664 - The Legal Environment of Business
3 Credit(s)
Description:
This course seeks to help students broaden their understanding of our legal and regulatory system and how it affects them as business managers. Businesses have become increasingly subject to laws and regulations. Legal and regulatory provisions pervade such aspects of business as the sale of securities; marketing practices; product liability; and business relationships with employees, customers, and other interested parties. This course assists students in developing their ability to meet the legal and regulatory demands and responsibilities of contemporary business.
Enrollment Requirements:
MBAMGT 650 an 660 and Graduate degree student in Management
022020:1
|
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MBAMGT 665 - Cross-cultural and comparative management
3 Credit(s)
Description:
This course provides students with frameworks to understand, analyze critically, and practice cross cultural/international management under globalization. In an economically interconnected world, the historical context of geopolitical and sociocultural relations among nations and people are important to not only conceptualizing management but also to understanding why different nations/people may have fundamentally different notions and practices of management. To this effect, this course allows students to gain an in-depth understanding of an critically analyze the ways in which cross cultural differences in values have consequences for management behaviors in terms of cooperation, ethics and decision making, leadership, negotiation, team work, and human resources. This approach will allow students to gain an understanding of how the broader context of difference and dependence among nations and people materializes into individual and group differences in conceptualizing and practicing cross cultural/international management.
Enrollment Requirements:
MBAMGT 650 and 660 and Graduate degree student in Management
022569:1
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MBAMGT 666 - Diversity in the Global Workplace
3 Credit(s)
Description:
This course will delve into a number of issues related to diversity in the global workforce: how to understand and appreciate the dimensions of diversity in the global workforce (including gender, race, nationality, religion, sexual orientation, disability, class); how to learn across differences in order to work more effectively together; how to contribute to and manage teams with diverse composition; how to be a leader and change agent on issues regarding diversity and inclusion; how corporations can be on the leading edge of policies to enhance economic opportunity for a diverse workforce; how diversity is understood and approached globally.
037869:1
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