May 09, 2024  
2019-2020 Undergraduate/Graduate Catalog 
    
2019-2020 Undergraduate/Graduate Catalog [ARCHIVED CATALOG]

Courses


 

Mathematics

  
  • MAT 161 - Introductory Statistics (3 cr.)


    Introduction to the fundamentals of statistics. Emphasis is on understanding and application of statistical reasoning.
    Liberal arts
    Prerequisite(s): Completion of Math Competency Requirement.
    General Education Category: Mathematics
    Semester(s) Offered: Fall, Spring, Summer
  
  • MAT 166 - Statistical Process and Reasoning (3 cr.)


    Statistical ideas and the statistical process are critical to understanding statistics and research.  This course will emphasize in-depth understanding and interpretation of concepts through applications rather than breadth of procedural statistical methods.  Topics include the statistical research process, data exploration, chance and uncertainty, making judgements from data under uncertainty using statistics, how to critique studies that use statistics, and interpretation of statistics.
    Liberal Arts
    Prerequisite(s): Completion of Math Competency Requirement.
    General Education Category: Math
    Semester(s) Offered: Fall
  
  • MAT 199 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MAT 202 - Linear Algebra I (3 cr.)


    Introductory, applications-oriented course for students majoring in mathematics, computer science, engineering, economics or science. Topics include systems of linear equations, matrices, determinants, vector spaces and vector geometry.
    Liberal arts
    Prerequisite(s): MAT224 or HON144, or equivalent knowledge.
    Semester(s) Offered: Fall, Spring
  
  • MAT 204 - Introduction to Mathematical Problem-Solving and Inquiry (3 cr.)


    Mathematics is fundamentally about problem-solving and reasoning. In this course, you will explore mathematics in a supportive environment that encourages your growth in formulating problems and problem-solving. The types of problems will range from puzzles that can be formulated mathematically, applied mathematics problems, and questions about numbers and geometry. We will work mostly with paper and pencil, but you also will be introduced to using spreadsheets or computational software to explore mathematical problems. Finally, you will learn about the current and past culture of mathematical problem-solving.
    Liberal arts
    Prerequisite(s): Calculus Readiness (MAT 102  or Calculus Readiness Test Proficiency ) or POI
    Semester(s) Offered: Fall, Spring
  
  • MAT 221 - Calculus for the Life, Management, & Social Sciences I (3 cr.)


    An introduction to calculus for students of the life, management and social sciences. Topics include: functions, limits, differentiation, applications of derivatives, exponential and logarithmic functions, antiderivatives, definite integral and the fundamental theorem of calculus. May be taken concurrently with MAT 104 . A student will not receive credit for more than one of MAT 221, MAT 224, and MAT 228 .
    Liberal arts
    Prerequisite(s): MAT102 or Calculus Readiness Test.
    General Education Category: Mathematics
    Semester(s) Offered: Fall, Spring, Summer
  
  • MAT 222 - Calculus for the Life, Management, & Social Sciences II (3 cr.)


    A continuation of MAT 221 . Topics include: techniques and applications of integration, functions of several variables, partial derivatives, total differentials and applications, double integrals and elementary differential equations. May be taken concurrently with MAT 104 . Cannot be taken in addition to MAT 225  for credit.
    Liberal arts
    Prerequisite(s): MAT 104  (may be concurrent) and MAT 221 .
    Semester(s) Offered: Fall, Spring
  
  • MAT 224 - Calculus I (4 cr.)


    Basic concepts and techniques of single variable calculus including algebraic and trigonometric functions, limits, continuity, differentiation, applications of differentiation, antidifferentiation and the definite integral. May be taken concurrently with MAT104. Students will not receive credit for more than one of MAT221, MAT224, and MAT228.
    Liberal arts
    Prerequisite(s): MAT102 or Calculus Readiness Test
    Corequisite(s): MAT104
    General Education Category: Mathematics GE5
    Semester(s) Offered: Fall, Spring, Summer
  
  • MAT 225 - Calculus II (4 cr.)


    A continuation of MAT 224. Includes applications of the definite integral, inverse functions, logarithmic and exponential functions, separable differential equations and their applications, techniques of integration, sequences and infinite series.
    Liberal arts
    Prerequisite(s): MAT224 or HON144.
    Semester(s) Offered: Fall, Spring, Summer
  
  • MAT 228 - Applied Calculus (4 cr.)


    An introduction to calculus for science students. Topics include: functions, limits, differentiation, applications of derivatives, exponential, logarithmic, and trigonometric functions, integration, the fundamental theorem of calculus, modeling. Additional possible topics are differential equations, and series. Students will not receive credit for more than one of MAT 221 , MAT 224, and MAT 228.
    Liberal arts
    Prerequisite(s): MAT102 or Calculus Readiness Test. Restricted to the following majors: Ecology, Environmental Science BA, Environmental Science BS, Environmental Science BA Study Option in Environmental Planning and Management, Geology BS, Geology BA, Geology BA Study Option in Earth Science, Geology BA Study Option in Environmental Geology, and Geology/Adolescence Education BA/MST.
    Corequisite(s): MAT 104  must be taken before or concurrently with MAT 228.
    General Education Category: Mathematics
    Semester(s) Offered: Fall, Spring
  
  • MAT 231 - Sets, Functions and Relations (3 cr.)


    Provides students with the knowledge to make the transition from entry level mathematics to more advanced levels of the subject. Extensive practice with creating and writing proofs is provided. The material studied in this course is widely used in upper-level courses.
    Liberal arts
    Prerequisite(s): MAT 225 .
    Semester(s) Offered: Fall, Spring
  
  • MAT 299 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MAT 301 - Introduction to Abstract Algebra (3 cr.)


    A systematic development of algebraic structure. Methods of proof are emphasized, and proofs of fundamental results in algebra are discussed. Topics include groups, rings and fields.
    Liberal arts
    Prerequisite(s): MAT 231 .
    Semester(s) Offered: Fall, Spring
  
  • MAT 302 - Linear Algebra II (3 cr.)


    Rigorous treatment of basic concepts, results and techniques of linear algebra for mathematics major and students who intend to continue their studies in the mathematical sciences. Topics include vector spaces over a field, linear transformations, inner product spaces, eigenvalues and canonical forms.
    Liberal arts
    Prerequisite(s): MAT 202 , MAT 231  or equivalent knowledge.
    Semester(s) Offered: Fall, Spring
  
  • MAT 326 - Calculus III (4 cr.)


    A continuation of MAT224 and 225. Topics include vectors in the plane, geometry of three dimensional space, vector functions in three space, partial derivatives, multiple integrals, line and surface integrals, Green’s and Stokes’ Theorems.
    Liberal arts
    Prerequisite(s): MAT225 or equivalent
    Semester(s) Offered: Fall, Spring
  
  • MAT 353 - Geometry (3 cr.)


    A rigorous treatment of the foundations of Euclidean geometry and an introduction to hyperbolic geometry with emphasis on proofs. The history and philosophical implications of the discovery of non-Euclidean geometry are studied.
    Liberal arts
    Prerequisite(s): MAT 231 .
    Semester(s) Offered: Spring
  
  • MAT 361 - Probability and Statistics (3 cr.)


    Introduction to probability and statistics. Topics include the elementary theory of probability, discrete and continuous random variables, sampling distributions, and estimation and hypothesis testing.
    Liberal arts
    Prerequisite(s): MAT326 or POI.
    Semester(s) Offered: Fall, Spring
  
  • MAT 362 - Statistical Inference (3 cr.)


    Gives the student with a background in probability an introduction to statistical inference. Topics include the theory and application of parameter estimation and hypothesis testing.
    Liberal arts
    Prerequisite(s): MAT 361 
  
  • MAT 365 - Probability Models (3 cr.)


    Introduction to the theory of stochastic processes and the use of stochastic processes in modeling phenomena in such fields as engineering, management sciences, and the physical and social sciences.
    Liberal arts
    Prerequisite(s): MAT 361  or POI.
    Semester(s) Offered: Fall
  
  • MAT 397 - Core Mathematics Problem Seminar (3 cr.)


    Required of all mathematics majors. Designed to round out and strengthen the student’s knowledge of core mathematics and prepare the student for advanced work in mathematics.
    Liberal arts
    Prerequisite(s): ENG 101 , MAT 301 , MAT 302 , MAT326.
    Meets Advanced Writing Requirement
    Semester(s) Offered: Fall, Spring
  
  • MAT 399 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MAT 404 - Linear Programming (3 cr.)


    An introduction to the methods and applications of linear programming. Both the mathematical ideas involved in linear programming and their economic and business interpretations will be stressed. Topics include the simplix algorithm and tableaux, the two phase method, duality, the dual simplex algorithm, sensitivity analysis, transportation problems and tableaux, and network flow problems.
    Prerequisite(s): MAT 202  
  
  • MAT 411 - Mathematics Teaching Methods for Adolescence Education (4 cr.)


    A course designed to familiarize the adolescence major with the content and processes of the New York State and National Council of Teachers of Mathematics standards. Students will gain knowledge of diverse teaching strategies and methods as well as assessment techniques. Additional emphasis will be given to classroom management, planning, grading, and incorporation of technology into the classroom, with multiple opportunities for less and unit plan presentations.
    Liberal arts
    Prerequisite(s): MAT 301 , MAT 302 , MAT326, MAT 353 , MAT 361 .
    Semester(s) Offered: Fall
  
  • MAT 423 - Complex Analysis (3 cr.)


    Introduction to the basic theory of functions of a complex variable, including differentiation, integration, the Cauchy Theory and some of its applications.
    Liberal arts
    Prerequisite(s): MAT326.
    Semester(s) Offered: Spring, odd-numbered Years
  
  • MAT 426 - Differential Equations (3 cr.)


    An introduction to differential equations, their solution methods, and their applications. Topics include linear differential equations, series solutions, systems of differential equations, Laplace transforms, and applications to the physical sciences.
    Liberal arts
    Prerequisite(s): MAT326.
    Semester(s) Offered: Spring
  
  • MAT 428 - Foundations of Calculus (3 cr.)


    This course revisits the theorems of Calculus I and II on limits and continuity, derivatives and integrals, and infinite series. The theorems will be studied in detail, and many will be proved.
    Liberal arts
    Prerequisite(s): MAT 397 .
    Semester(s) Offered: Fall, Spring
  
  • MAT 429 - Advanced Calculus (3 cr.)


    A modern conceptual treatment of multivariable calculus. The course centers around the inverse function theorem, Green’s theorem, and is presented via linear algebra. For students of mathematics and science.
    Liberal arts
    Prerequisite(s): MAT 428 .
    Semester(s) Offered: Fall
  
  • MAT 441 - Topology I (3 cr.)


    The study of general topological spaces and their elementary point-set invariants. Topics include metric space topologies, basis and subbasis, continuous functions, connectedness, compactness and separation, applications to elementary analysis.
    Liberal arts
    Prerequisite(s): MAT 202 , MAT 231 , MAT 301 .
    Semester(s) Offered: Fall, odd-numbered Years
  
  • MAT 460 - Topics in Applied Probability/Financial Mathematics (3 cr.)


    Application of probability to topics in financial mathematics.
    Liberal arts
    Prerequisite(s): MAT326.
    Semester(s) Offered: Fall, odd-numbered Years
  
  • MAT 472 - Dynamical Systems (3 cr.)


    Physical systems are often modeled using systems of ordinary differential equations. We study the construction of these mathematical models, along with various techniques for analyzing their solutions.
    Liberal arts
    Prerequisite(s): MAT 302  and MAT326.
    Corequisite(s): MAT 426  (may either be taken before or concurrently with this course)
    Semester(s) Offered: Spring, even-numbered Years
  
  • MAT 484 - Introduction to Combinatorics (3 cr.)


    An introductory look at some of the more important topics in finite mathematics including methods of enumeration and graph theory. Many specific notions are defined and classical problems introduced so that general techniques may be applied to them.
    Liberal arts
    Prerequisite(s): MAT 202 
    Semester(s) Offered: Spring, even-numbered Years
  
  • MAT 496 - Applied Instructional Practicum I (1 to 2 cr.)


    Provides an opportunity for the student to assist in the instruction of a mathematics course under the supervision of the course instructor. A contract, approved by the chairperson, specifying the duties of the student will be filed in the departmental office. This course may be repeated as II, III or IV with the permission of the chairperson.
    Liberal arts
    Prerequisite(s): By invitation only; GPA of 3.0 in mathematics or a grade of B or better in MAT 397 .
    Semester(s) Offered: Fall, Spring
  
  • MAT 498 - Internship (1 to 15 cr.)


  
  • MAT 499 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MAT 599 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.

Management & International Business

  
  • MGM 199 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MGM 280 - Principles of Management and Organizational Behavior (3 cr.)


    An overview of the four major functions of managing organizations: planning, leading, organizing, and controlling. Emphasis on understanding individual behavior and motivation in organizations, and on group and team processes and dynamics.
    Prerequisite(s): ENG 101 ; and ECO 101 , ECO 110  or ECO 111  
    Semester(s) Offered: Fall, Spring
  
  • MGM 299 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MGM 310 - Human Resource Management (3 cr.)


    Theories, policies and procedures of human resource management and their practical implications. An overview of human resource functions such as strategic human resource planning, equal employment opportunity, job analysis, recruitment, selection, performance appraisal, compensation, training and employee development, employee rights, benefits, health and safety, and management-labor relations. Topics also include global human resource management and diversity management.
    Prerequisite(s): MGM 280 .
    Meets Advanced Writing Requirement
    Semester(s) Offered: Fall, Spring
  
  • MGM 311 - Organizational Behavior (3 cr.)


    This course focuses on theories and practices related to the management of human behaviors in organizations, including individual, group, and organizational levels of analysis. Topics cover perception, learning, motivation, communication, leadership, ethics, careers, groups and interpersonal relationships, and organizational development and change.
    Prerequisite(s): MGM 280 .
    Semester(s) Offered: Fall, Spring
  
  • MGM 315 - International Business Management (3 cr.)


    Problems and policies of business enterprises within the international rather than the domestic context. Managerial decision making processes that characterize the interplay of diverse international environments and functional areas of business. Emphasis on the operations of multinational corporations. Student participation is achieved through case analyses and research on a foreign market.
    Prerequisite(s): MGM 280 , MKE 290 .
    Semester(s) Offered: Fall, Spring, Summer
  
  • MGM 316 - Multinational Management (3 cr.)


    Management of economic enterprises in foreign environments. Anthropological and psychological materials concerning the impact of culture on management functions. Foreign nations are studied through cases and research.
    Prerequisite(s): MGM 280 .
    Semester(s) Offered: Fall, Spring
  
  • MGM 341 - Training and Development (3 cr.)


    This course provides an understanding of how to foster learning in organizations, with an introduction to key concepts and frameworks involved in developing and training employees.  The successful student will gain an understanding of the relationship between training and organizational strategy, training design, and training methods.
    Prerequisite(s): MGM 280 MGM 310  (may be taken concurrently)
    Semester(s) Offered: Spring
  
  • MGM 342 - Employment Law (3 cr.)


    This course provides an understanding of major employment and labor laws affecting organizations.  The successful student will gain an understanding of specific statutes related to employment law, labor laws, staffing, and harassment.
    Prerequisite(s): MGM 280 MGM 310  (may be taken concurrently)
    Semester(s) Offered: Spring
  
  • MGM 343 - Compensation and Benefits (3 cr.)


    This course outlines the practice of compensation in organizations and the link between compensation practices and competitive advantage.  The successful student will gain an understanding of compensation structure, pay levels, determination of individual pay, and employee benefits.
    Prerequisite(s): MGM 280 MGM 310  (may be taken concurrently)
    Semester(s) Offered: Fall
  
  • MGM 345 - Staffing, Recruiting and Performance Management (3 cr.)


    This course provides an overview of the role of HR in staffing organizations. The successful student will gain an understanding of HR’s role in employee recruitment, selection, performance management, and employee relations, and an introduction to relevant employment law.
    Prerequisite(s): MGM 280 MGM 310  (may be taken concurrently)
    Semester(s) Offered: Fall
  
  • MGM 350 - Introduction to Mathematical Modeling in Business (3 cr.)


    This course is an introduction to the principles and practice of Operations Research. In particular, the course focuses on mathematical programming and optimization techniques, which develop and use mathematical models to solve complex business problems and support managerial decision making. The course will cover basic deterministic methods of operations research (linear programming, network flows, integer programming, transportation, assignment, and transshipment problems, project management (CPM/PERT), data envelopment analysis (DEA), multicriteria decision models) and their applications to resource allocation problems in business. The emphasis is on mathematical formulation of real world business problems, interpretation of computer solutions, and sensitivity analysis of optimal solutions.
    Liberal Arts
    Prerequisite(s): ECO 260 , MAT 221 , MIS 275 , MGM 280 .
    Semester(s) Offered: Fall, Spring
  
  • MGM 366 - Sustainable Enterprise (3 cr.)


    This course offers insights into the environmental and social challenges facing business and society, sheds light on the role that business can play in moving toward a more sustainable future, and provides an understanding of strategies that companies can use to gain competitive advantage through their sustainability efforts.
    Prerequisite(s): MGM280
    Semester(s) Offered: Fall
  
  • MGM 399 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MGM 444 - Selected Topics in Management (1 to 4 cr.)


    Selected management topics of particular current interest. The course may explore an area taken from another management course in greater detail and depth, or it may concentrate on an area of management not generally covered by existing courses.
    Prerequisite(s): Varies with topic.
    Semester(s) Offered: Fall, Spring, Summer
  
  • MGM 445 - Principles of Operations Management (3 cr.)


    This course is an introduction to the design, management and control of manufacturing and service operations, which transform inputs into goods and services. The course presents a view of the primary activities of the operations function in organizations. Students will examine the major operations management decisions and the basic tradeoffs associated with them. They will also learn to identify and quantify operating characteristics of different manufacturing and service systems and apply a variety of techniques and quantitative methods used by operations managers to optimize the performance of their operations. Topics include product and service design, capacity planning, process selection and design, facility location and layout, supply chain management, forecasting, operations planning and control, inventory management and MRP, quality management, statistical process control, process analysis and improvement.
    Prerequisite(s): ACC 202 , MIS 275  or MGM275, ECO 260 , MGM 280 .
    Semester(s) Offered: Spring
  
  • MGM 455 - Strategic Human Resource Management (3 cr.)


    This course provides an understanding of the link between managing an organization’s capital and achieving competitive advantage. The successful student will gain an understanding of the relationship between human resources strategy and competitive advantage, organizational development and the role of the human resource professional as internal consultant, and advanced topics such as data analytics in human resource management and global human resource management.
    Prerequisite(s): MGM 280 MGM 310 ; and  MGM 341 MGM 342 MGM 343 , or MGM 345  
    Semester(s) Offered: Spring
  
  • MGM 490 - Strategic Management (3 cr.)


    This course covers business unit and corporate strategies in organizations. Topics include internal and external environment, industry attractiveness, strategic planning processes, competitive forces, competitive advantages, strategy formulation and implementation, and portfolio analysis. Covers both domestic and international organizations, and integrates various functional areas of management, marketing, accounting, finance, economics and other related disciplines such as professional writing (for example business case analysis).
    Prerequisite(s): MGM 280 , MIS 275 , MKE 290 , FIN 355 , BUS 388 , BUS489 (may be taken concurrently), and last semester senior standing.
    Semester(s) Offered: Fall, Spring
  
  • MGM 496 - Teaching Practicum (1 to 3 cr.)


  
  • MGM 498 - Independent Study (1 to 15 cr.)


  
  • MGM 499 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MGM 505 - Management Fundamentals (3 cr.)


    Management Foundations provides an overview of the essential elements of strategy, leadership, and teamwork for MSBA students. The successful student will gain an understanding of and facility with management tools and frameworks on which to draw in support of the design of analytics solutions to business problems.
    Prerequisite(s): restricted to students in Data Analytics, MS.
    Semester(s) Offered: Fall
  
  • MGM 598 - Internship (1 to 15 cr.)



Management Information Systems

  
  • MIS 199 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MIS 275 - Business Applications and Information Systems (3 cr.)


    This course will provide the student with an in-depth understanding and working knowledge of the most popular business software with special emphasis on MS Office. Through a variety of hands-on exercises and minicases, students will utilize Excel spreadsheets and Access databases to explore information technology impacts on the core business disciplines (accounting, marketing, human resource management, operations management, and finance). We will provide the student with an understanding of information systems terminology, the ethics of information collection and use, and the ability to determine what information should be presented to various levels of management.
    Liberal arts
    Semester(s) Offered: Fall, Spring, Summer
  
  • MIS 285 - Intermediate Excel (1 cr.)


    A comprehensive examination of spreadsheet software. Students will build a variety of spreadsheets using simple and complex formulas, functions, graphics, database features, sorts, linkages within spreadsheet and between spreadsheets, and macros.
    Liberal arts
    Semester(s) Offered: Fall
  
  • MIS 299 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MIS 302 - Data Communications (3 cr.)


    This course introduces business students to the subject of computer networks and the use of computer networks in business applications. The course starts with the fundamentals of data communications and networking and includes topics such as client-server networks, network hardware and software, the Internet, distributed computing, and key issues in network management. In addition the course covers some legacy networks but focuses primarily on modern high-speed networks used in business communications.
    Prerequisite(s): MIS 275 .
    Semester(s) Offered: Fall
  
  • MIS 303 - Introduction to Business Application Programming (3 cr.)


    This course provides an introduction to the fundamental programming theories and concepts necessary to create software applications that address the information needs of an organization. Introduces business students to the design, implementation, and testing of programs. Topics include class definition, methods, data types, control structures, and file-based and interactive input/output. Provides an overview of industry-proven software-development principles, and outlines the contribution that business professionals make to the program-development process.
    Prerequisite(s): MIS 275 .
    Semester(s) Offered: Fall
  
  • MIS 399 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.
  
  • MIS 401 - Systems Analysis & Design (3 cr.)


    This course provides an introduction to the systems development process. Students with information technology skills will learn to analyze and design information systems. The topics include structured and object oriented analysis and design, modern modeling methodologies and tools. The students will work on systems analysis and design projects.
    Prerequisite(s): MIS 303 .
    Semester(s) Offered: Spring
  
  • MIS 402 - Database Management (3 cr.)


    This course will introduce students to the fundamentals of database management. The topics will include the study of data environments, the evolution of database technology, database concepts and uses, different levels and types of data models and modeling tools, database design and query processing, structured and object design approaches, and the use of CASE tools and the Data Base Management Systems. Students will participate in database design projects. Other topics address emerging database trends and opportunities.
    Prerequisite(s): MIS 303 .
    Semester(s) Offered: Fall
  
  • MIS 403 - Introduction to Business Analytics (3 cr.)


    This course provides an introduction to Business Analytics. The students will study the tools and techniques needed to build interactive, computer-based systems used to support managerial decision making. Since business analytics uses data sources and quantitative/AI techniques to generate insights and valuable information, the topics will include descriptive, predictive and prescriptive analytics models for decision making including data mining and artificial intelligence technologies, as well as data warehousing and other evolving data management techniques.
    Prerequisite(s): MIS275 and ECO260.
    Semester(s) Offered: Fall or Spring
  
  • MIS 410 - Electronic Business and Web Site Design (3 cr.)


    This course is designed to familiarize you with current and emerging electronic business models and technologies. This is a course for students who are interested in web programming, database management, and systems design. The course combines fundamental ideas and concepts of e-business with hands-on exercises based on Internet technologies. The topics include e-business revenue models, Internet and Web technology infrastructure, web site management, search engines, payment systems, and security. The specific technologies that we will learn and implement through hands-on exercises are HTML, PHP, and MySQL. By the end of the course, you should understand concepts of e-business and acquire essential technical skills of building functional web sites.
    Prerequisite(s): MIS 275  or POI.
    Semester(s) Offered: Spring
  
  • MIS 418 - Foundations of Cybercrime and Cyber Security (3 cr.)


    This course provides students with the fundamental skills to analyze methods criminals use to commit crimes in cyberspace, and to develop mitigation strategies to protect the organization from cybercrime. The course covers various technologies and methods needed to detect, investigate and prevent cybercrime. Moreover, students will learn how companies and law enforcement agencies are responding to the dangers these crimes present. Concepts learned in this course will be directly applicable to careers in information assurance and cyber security.
    Prerequisite(s): MIS 275 , MIS 302 , and MIS 440 .
    Semester(s) Offered: Spring
  
  • MIS 419 - Information Assurance and Network Control (3 cr.)


    This course provides an introduction to the fundamental models, theories, and concepts in information assurance and cyber security that address the organizational needs to securely protect information assets from harm. Recognizing the emerging trends of information assurance and security, the course will introduce students to topics including information security priority, configuration management, contingency planning, and information assurance architecture, policies, and strategies. The course provides a holistic overview of latest topics in information assurance and potential managerial and technical controls to improve the confidentiality, integrity, and availability of data and information.
    Prerequisite(s): MIS 275 , MIS 302 .
    Semester(s) Offered: Fall
  
  • MIS 420 - Data Privacy and Security (3 cr.)


    This course provides an introduction to the field of data privacy and security. The issues related to data/information privacy and security will look at both from an individual and an organizational perspective. Fundamental models, theories, and concepts in data/information privacy and security along with historical, current and emerging trends, techniques and tools in the field will be introduced. This course will provide an overview of not only the technical aspects, but also the organizational and legal issues relevant to the field.
    Prerequisite(s): MIS 275 , MIS 302 , MIS 440 .
    Semester(s) Offered: Every other Year
  
  • MIS 440 - Management Information Systems (3 cr.)


    Modern organizations regard information as a critical resource that needs to be managed effectively. Managers must understand the important role of information systems in improving business operation and the management decision-making process. The approach to information systems in this course is from a managerial/business perspective. While some of the course addresses the technical side of information systems, the emphasis is put on the strategic role of information technology in solving business problems, gaining competitive advantage. supporting business operations and managerial decision making, and the use of Internet for electronic commerce and enterprise collaboration. The topics covered in this course include the strategic role of information systems, evolution of information systems software, managing data resources, telecommunications and networks, electronic commerce and electronic business, redesigning the organization with information systems, systems lifecycle approach, prototyping, CASE tools, decision support systems, information systems security and control, security and the Internet and privacy issues.
    Prerequisite(s): MGM 280 ; MGM275 or MIS 275  
    Meets Advanced Writing Requirement
    Semester(s) Offered: Spring
  
  • MIS 444 - Selected Topics in Management Information Systems (1 to 4 cr.)


    Selected management topics of a particular current interest. The course may explore an area taken from another management course in greater detail and depth, or it may concentrate on an area of management not generally covered by existing courses.
    Prerequisite(s): MGM275 or MIS 275  or POI.
    Semester(s) Offered: Fall, Spring, Summer
  
  • MIS 496 - Instructional Practicum (1 to 3 cr.)


  
  • MIS 498 - Internship (1 to 15 cr.)


  
  • MIS 499 - Independent Study (1 to 15 cr.)


    Project individually arranged by student and faculty sponsor. Requires completion of the Independent Study form and approval by the Faculty Sponsor, Academic Advisor, Department Chair and Academic Dean.

Management Science/Analytics

  
  • MSA 500 - Introduction to Business Analytics (3 cr.)


    Business Analytics uses data sources and quantitative techniques to generate insights and valuable information used in business decision making. The course provides an overview of the business analytics process. The three areas of descriptive, prescriptive and predictive analytics will be presented. Topics covered include problem definition, data preparation, technical analysis and modeling, evaluation of results and implementation. The development and use of data warehouses and data marts to support business analytics is discussed. Examples of applications of analytics in different business domains (finance, marketing, healthcare, etc.) will be discussed. Also, students will be introduced briefly to the SAS and IBM analytical tools used throughout the program.
    Prerequisite(s): Knowledge of introductory statistics, introductory algebra and some coding experience (e.g., in SAS, R or Python).
  
  • MSA 510 - Analytics Foundations (3 cr.)


    This course introduces students to the methodologies, techniques and tools most commonly used in Business Analytics. These foundational methods are from the fields of statistics, operations research and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, data mining etc. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.
    Prerequisite(s): Knowledge of introductory statistics, introductory algebra, Excel, and some coding experience (e.g., in SAS, R or Python).
  
  • MSA 520 - Management of Information Assets (3 cr.)


    The course introduces students to the fundamentals of data management and data warehousing. Data is an integral component of Analytics. The appropriateness, accuracy and timeliness of data used in analytics is key to good decisions. This course will expose students to the design and querying of relational databases as well as the design, set up and use of Data Warehouses and Data Marts. The topics covered in this course include DBMS design, implementation and management, data retrieval, data integration, ETL, dimensional modeling, OLAP, etc.
    Prerequisite(s): knowledge of introductory statistics, information systems, and some coding experience (e.g., in SAS, R or Python).
    Semester(s) Offered: Fall
  
  • MSA 530 - Data Visualization (3 cr.)


    Rendering data clearly and effectively with appropriate visual analytics reduces the time required to achieve understanding and helps manage the growing amount of available digital data. This course teaches the essential and practical skills in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concepts, animation techniques, pattern analysis, and computational methods. Students will learn to use various software tools including R, ggplot, Tableau 8, and Oracle APEX 5 during the class.
    Prerequisite(s): MSA 500 .
    Corequisite(s): MSA 520  
    Semester(s) Offered: Fall
  
  • MSA 540 - Data and Text Mining (3 cr.)


    This course will provide the basic framework for conducting various data and text mining methodologies, including logistic regression analyses, classical discriminant analyses, association rule, decision tree, support vector machine, neural networks, variable reduction, cluster analyses, text analytics, and web mining. Emphasis will be on the appropriateness of methods, data visualization, how to resolve common issues, and use of data for generating output and interpretation, all in an attempt to give you hands-on experience and to aid you in the decision making process with applications in business intelligence, customer relationship management, fraud and lie detection, improvement of resource utilization, clickstream web mining, and credit scoring for loan applications. The ultimate goal is to enhance your appreciation of the idea that companies must be analytics competitors in order to be and stay competitive.
    Prerequisite(s): MSA 500 , MSA 510 .
    Corequisite(s): MSA 520  
    Semester(s) Offered: Fall
  
  • MSA 550 - Predictive Analytics (3 cr.)


    This course covers the fundamental predictive analytics and data mining approaches applied in Business. It introduces basic concepts and techniques to discover patterns in data, identify variables with the most predictive power and develop predictive models. Topics covered in this course include multivariate data analysis, logistic regression, factor analysis, data mining, discriminant analysis, cluster analysis, decision trees and neural networks. Best practices on the selection of methods and tools to build predictive models will also be covered. The JMP Pro statistical software for SAS will be used in this course. JMP Includes an exploratory, graphical approach to both traditional statistics and data mining techniques.
    Prerequisite(s): MSA 500 , MSA 510 .
    Corequisite(s): MSA 530  
    Semester(s) Offered: Fall
  
  • MSA 560 - Optimization and Simulation Models (3 cr.)


    This course focuses on formulating and solving mathematical optimization models and building and solving simulation models. First the course discusses how optimization tools are used to find the optimal-or near optimal solutions to constrained optimization problems. This part covers commonly used optimization models in business, namely, linear, integer, mixed-integer, and goal programming problems, with an emphasis on model formulation and construction. The second part of this course introduces the field of computer-based simulation with a focus primarily on discrete-event modeling methods in which the state of the model is dynamic and the state of the model changes only at countable, distinct points in time. Also, the system being modeled is considered as a process, i.e. a sequence of operations being performed across entities. Cases in manufacturing, telecommunications, transportation, military and health care will be used. The models will be analyzed using SAS/OPTMODEL and Simulation Studio software.
    Prerequisite(s): MSA500, MSA510.
    Semester(s) Offered: Spring
  
  • MSA 565 - Web Analytics (3 cr.)


    Web analytics deals with methods and tools to collect, analyze, and report website usage data by visitors, emphasizing the nature of the visits to websites and visitors’ demographics. This course introduces the metrics, contents, user behaviors, and reporting of web sites by using specific Web Analytic tool (e.g., Google Analytics) to collect web site data and conduct the analysis. This course also discusses the major Key Performance Indicators (KPI) that can be measured and tracked continuously for website optimization with a focus on organizational implementation. In addition, this course investigates related topics such as web mining, social web mining, and game metrics.
    Prerequisite(s): MSA530, knowledge of web search engines, knowledge of web site development.
    Semester(s) Offered: Spring
  
  • MSA 570 - Big Data Analytics (3 cr.)


    This course provides the fundamental knowledge to students to handle the challenges brought up by Big Data. This course introduces the overview applications and market trend of Big Data, describes the fundamental platforms, such as Hadoop, Spark, and other tools, such as IBM System G for Linked Big Data, discusses Big Data storage and processing methods, and covers different Big Data analytics algorithms on different platforms. Additional topics include visualization and mobile issues on Big Data Analytics.
    Prerequisite(s): MSA540.
    Semester(s) Offered: Spring
  
  • MSA 575 - Social Media Analytics (3 cr.)


    This course offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engine, and location layers. We will see how social network analysis, web mining and statistical methods can be used to study these topics. By the end of this course, students will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. While there are no prerequisites, students are expected to be proficient in SAS programming, data structures, and web analytics and have taken college level or above courses in statistics and mathematical modeling.
    Prerequisite(s): MSA530 and MSA540.
    Semester(s) Offered: Spring
  
  • MSA 580 - Healthcare Analytics (3 cr.)


    This course is designed as a special topic of business analytics to explore how mining and quantitative methods can help us solve healthcare-related problems. It provides a framework to understand a range of health data standards and privacy concerns on information management policy, explore the types of health information systems prevalent in healthcare organizations, and analyze health information to support decision making in various healthcare problems. In this course, students will learn how the core competencies of healthcare analytics can be developed and applied using real-world case studies. Students will be exposed to specific concepts related to IT architecture and governance, health information systems, electronic medical records (EMR), health data and standards, big data sourcing, and mining methods for decision making and health improvement.
    Prerequisite(s): MSA540.
    Semester(s) Offered: Spring
  
  • MSA 585 - Special Topics in Business Analytics (3 cr.)


    The course will present selected topics in Business Analytics that are of interest. These topics may include emerging areas not covered elsewhere in the MSBA program, or topics covered in much greater depth in this course than in other existing courses in the program.
    Prerequisite(s): MSA500, MSA510, MSA520.
    Semester(s) Offered: Spring
  
  • MSA 590 - Business Analytics Capstone/Industry Practicum (3 cr.)


    In this course, students get the opportunity to integrate the knowledge and apply the skills acquired in the core curriculum learned throughout this program to a real-world business project. In most cases, projects will be submitted by business partners or identified by the faculty advisor. Depending on the business sponsor, projects could be done on-site as internships. Students in small teams will tackle the business problem from data collection and model construction through analysis and presentation of results to recommendations for specific business decisions. Faculty advisors will supervise the teams through all the phases of the project. Each team is expected to provide effective solutions for the client while demonstrating their extensive analytical. Commercial and open source software tools will be used to build models and conduct analyses. In addition, throughout the semester, project management concepts will be discussed and applied by students to manage their project.
    Prerequisite(s): MSA530, MSA540, and MSA550.
    Corequisite(s): MSA560.
    Semester(s) Offered: Spring

Marketing

  
  • MKE 290 - Principles of Marketing (3 cr.)


    Basic problems in marketing management and the marketing mix elements of product, price and promotion and distribution are presented in the context of a dynamic global environment. The impact of the legal, political, social, ethical, technological, economic, and competitive factors upon marketing activities are discussed. Includes Marketing Plan project.
    Prerequisite(s): ECO101 or ECO110 or ECO111.
    Semester(s) Offered: Fall, Spring
  
  • MKE 321 - Principles of Advertising (3 cr.)


    Advertising from the advertiser’s perspective. Explores advertising strategy, media strategy, creative ad development, advertising research and budgeting. Includes advertising campaign project.
    Prerequisite(s): MKE 290 .
    Semester(s) Offered: Fall, Spring
  
  • MKE 322 - Professional Selling & Sales Management (3 cr.)


    Principles of professional selling and application of managment theories to the sales force, with particular emphasis on sales force organization, selection, recruitment, training, motivation, compensation, supervision and performance evaluation.
    Prerequisite(s): MKE 290 .
    Semester(s) Offered: Fall, Spring
  
  • MKE 323 - Retailing & E-tailing (3 cr.)


    Introduction to technical and theoretical practices of retail management for both physical “bricks and mortar” stores and Internet retail operations. Overview of organizational structure, merchandising practices and procedures, promotional activities, store planning and control.
    Prerequisite(s): MKE 290 .
    Semester(s) Offered: Fall
  
  • MKE 324 - Public Relations and Events Marketing (3 cr.)


    Students will learn about Integrated Marketing Communications and how public relations fits into the Promotion Mix, about dealing with the various publics of an organization, and about the legal and ethical dimensions of PR. Students will also learn the basics of print, broadcast, Internet, and social media public relations and they will gain hands-on experience in preparing a PR campaign for a “client.”
    Prerequisite(s): ENG 101  and MKE 290 .
  
  • MKE 325 - Marketing Channels & E-Commerce (3 cr.)


    Operation of channels of distribution from the manufacturer’s point of view, including direct channels through E-Commerce.  Physical distribution system and business logistics process. Transportation, storage, order processing, location analysis and operation of functional middlemen.
    Prerequisite(s): MKE 290 .
    Semester(s) Offered: Spring
  
  • MKE 326 - International Marketing (3 cr.)


    Environmental factors and adaptation of marketing strategy components marketers should consider in entering foreign markets. Includes hands-on project.
    Prerequisite(s): MKE 290 .
    Semester(s) Offered: Fall, Spring
  
  • MKE 328 - Services Marketing (3 cr.)


    This course introduces students to principles, concepts, theories, analytical procedures, techniques, and models addressing the distinctions between the marketing of goods and the marketing of services. Three different perspectives of services marketing are addressed: consumers’ expectations and perceptions; businesses’ service delivery operations, channels of distribution, and marketing; and the integration of the consumer and business perspectives with special emphasis on relationship marketing. Strategies and tactics designed to increase marketing effectiveness and operational efficiency within this important sector of the economy are also addressed.
    Semester(s) Offered: Spring
  
  • MKE 335 - Marketing Research (3 cr.)


    The various elements of the marketing research process are examined, including problem definition, the determination of information required to address the issue, research designs, measurement instruments, data collection methods, data analysis and the research report. Includes hands-on research project.
    Prerequisite(s): ECO 260 , MKE 290 .
    Semester(s) Offered: Fall, Spring
  
  • MKE 385 - Branding & New Product Development (3 cr.)


    This course introduces the principles of the new product development process in the context of a firm’s overall marketing strategy. The new product development process includes the identification of opportunities, idea generation, concept evaluation, design, testing, and launching of new products with a branding strategy.
    Prerequisite(s): MKE 290 .
 

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