SCMA Courses

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Variety of topics on the undergraduate level.
Credit Hours: 1-3
Max credits per degree: 3
Course Format: Independent Study 1
Course Delivery: Classroom
Prereqs: BSAD 50; 2.5 GPA.
Fundamental concepts in computing and programming in business. A programming language is chosen based on the ease of learning and its acceptance in the business community; e.g., Visual Basic, JAVA, XML, etc.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: Sophomore standing; 2.5 GPA; Business Qualified (MATH104 or MATH106/106B or MATH107 or MATH208; BSAD220; ACCT201 and ACCT202; ECON211 and ECON212; ECON215 or equivalent.) Prereqs differ for RAIKES, ACTS, and ABUS majors - see bulletin for exceptions.
Cannot be taken Pass/No Pass.
Analytical management techniques for: ascertaining demand for the organization's goods and services; justifying and acquiring the necessary resources; and planning and controlling the transformation of resources into goods and services. Application in both large and small organizations, private and public enterprise, service, and manufacturing organizations.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: BSAD 50; Business Qualified (MATH104 or MATH106 or MATH107/MATH107H or MATH208/MATH208H; ACCT201 or ACCT201H or RAIK181H; ECON211 or ECON211H or RAIK282H; ECON212 or ECON212H or RAIK182H; ECON215 or ECON215H or STAT218). 2.5 GPA.
Quantitative decision making tools for Supply Chain Management applications.Development of optimization models for applications in transportation and distribution networks, operations scheduling, and inventory planning.
This course is a prerequisite for: SCMA 432, SCMA 436, SCMA 439, SCMA 447, SCMA 451, SCMA 474
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
SCMA 346
Marketing Channels Management Crosslisted as MRKT 346
Prereqs: MRKT 341.
Basic concepts used in analyzing marketing channels, identifies the issues of designing sound channels, the issues of managing them effectively, and evaluating their performance.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: Sophomore standing; 2.5 GPA; Business Qualified (MATH104 or MATH106/106B or MATH107 or MATH208; BSAD220; ACCT201 and ACCT202; ECON211 and ECON212; ECON215 or equivalent.) Prereqs differ for RAIKES, ACTS, and ABUS majors - see bulletin for exceptions. Must also register for SCMA350L.
Cannot be taken Pass/No Pass.
Data and information as important resources to be managed in modern organizations. Development of quantitative analytical skills and presentation in business decision making. Basic information system concepts with primary focus on data analysis and related business decisions.
This course is a prerequisite for: MRKT 441, SCMA 437, SCMA 451, SCMA 452, SCMA 454, SCMA 458, SCMA 459
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: Open only to CBA Honors Academy students in good standing or by permission.  Sophomore standing; 2.5 GPA; Business Qualified (MATH104 or MATH106/106B or MATH107 or MATH208; BSAD220; ACCT201 and ACCT202; ECON211 and ECON212; ECON215 or equivalent.) Prereqs differ for RAIKES, ACTS, and ABUS majors - see bulletin for exceptions. Must also register for SCMA350L.
Cannot be taken Pass/No Pass.
Data and information as important resources to be managed in modern organizations. Development of quantitative analytical skills and presentation in business decision making. Basic information system concepts with primary focus on data analysis and related business decisions.
Credit Hours: 3
Course Delivery: Classroom
Prereqs: Sophomore standing; 2.5 GPA; Business Qualified (MATH104 or MATH106/106B or MATH107 or MATH208; BSAD220; ACCT201 and ACCT202; ECON211 and ECON212; ECON215 or equivalent.) Prereqs differ for RAIKES, ACTS, and ABUS majors - see bulletin for exceptions. Must also register for SCMA350.  Open only to CBA students.  Cannot be taken Pass/No Pass.
Organization, analysis and evaluation of data using advanced features of Microsoft Office to solve business problems addressed in the business analytics and information analysis class.
Credit Hours: 1
Course Format: Lab 1
Course Delivery: Classroom
SCMA 391
Prereqs: Permission of department chair.
Specific topic covered in any given term and credit awarded is to be determined by the instructor. Topic varies.
Credit Hours: 1-6
Max credits per degree: 12
Course Format: Lecture 1
Course Delivery: Classroom
Prereqs: Junior standing; permission of supervising instructor and department chair.
Special research project or reading program.
Credit Hours: 1-6
Max credits per degree: 12
Course Format: Independent Study 1
Course Delivery: Classroom
SCMA 396H
Prereqs: Good standing in the University Honors Program or by invitation; permission of instructor and department chair.
Special research project or reading program.
Credit Hours: 3-6
Max credits per degree: 12
Course Format: Independent Study 1
Course Delivery: Classroom
Prereqs: SCMA 331; 2.5 GPA.
Analytical approach to the design, planning, and control of operations management systems, including domestic and international, manufacturing and service operations.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 331SCMA 335; MRKT 341; 2.5 GPA.
Forecasting and planning for capacity management, materials management, utilization of facilities, managing and scheduling inventory, scheduling people and equipment, tracking people, orders, and equipment to ensure the accommodation of customer needs while maintaining effective and efficient processes.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 331; 2.5 GPA.
Focus on the improvement of supply chain operations through the application of lean management principles.Topics include just-in-time, six-sigma, theory of constraints, and associated tools and applications.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: SCMA 331; SCMA 335; 2.5 GPA.
Planning and managing projects including project initiating and bidding, planning, budgeting and cost estimation, scheduling, managing risks, and final implementation.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: SCMA 331; SCMA 350; 2.5 GPA.
Analytical and simulation models for decision making in functional areas such as finance, accounting, marketing, personnel, operations, and inventory. Construction of decision models for practical applications. Emphasis on analyzing alternatives and implementing solutions that result in increased productivity.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 331; SCMA 335; MRKT 346; 2.5 GPA.
Sourcing strategies, concepts and tools in the context of integrated supply chains.Specific issues include make or buy decisions, supplier evaluation and selection, total cost of ownership, contracts and legal terms, negotiation, and purchasing ethics.Discussion of supply chains in the context of international trade.Purchasing options, to include benefits and risks in outsourcing.Information technology for control and coordination in international supply chains.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
SCMA 444
Supply Chain Logistics Management Crosslisted as MRKT 444
Prereqs: MRKT 341 and SCMA 331.
Examination of physical distribution activities in the marketing mix from the viewpoints of both providers and users of components of logistics systems. Logistics problems of concern to the marketing manager include time and place utility concepts, spatial relationships of markets, channel design, transportation modes, and inventory management.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 331; SCMA 335; MRKT 341; 2.5 GPA.
Fundamentals of technology to include radio frequency identification systems (RFID).Description of physical characteristics, potential to support supply chain management, and implications on inventory management within supply chains.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: SCMA 335; SCMA 350; 2.5 GPA.
This course expands the basic statistical and analytics tools for developing understanding of advanced methods for data analysis and modeling, business strategy, information technology in order to develop automated structures to support decision making. The course is intended to provide tools for business applications working with data, databases and reports from analytic models. It covers fundamentals of data analysis and inferential statistics as wells as predictive modeling techniques; including linear regression, logistic regression, structural equation modeling, decision trees, artificial neural networks and support vector machines.   The course is intended for students interested in Business Analytics in all Business Majors as well as students who are primarily interested in the applications of data mining from fields such as engineering, basic sciences, sociology, psychology etc.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 350; 2.5 GPA.
Database technology and related human and managerial considerations. Databases from two perspectives: the logical view, as the manager and applications programmer see and use the organization's data; and the physical view, as the systems software programmers and database manager view the data. Theory on database organization and the practical applications of databases.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 350; 2.5 GPA.
Methods and methodologies used in systems analysis, design, and implementation. Decision-making process: systems development life cycles, requirement analysis, logical and/or conceptual design, and basic database concepts.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 350; 2.5 GPA.
Management-related topics in electronic business. Conceptualizing and maintaining an e-business strategy. Economic impact of e-business strategies and management practices, models of e-business, electronic payment systems, Internet security, ethics and privacy, and advanced e-business trends and issues.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: SCMA 350; 2.5 GPA.
The worldwide political and economic changes in the last decade that have propelled city, state, country governments, and corporations to expand business globally and enter into new markets. Information technology (IT) as a key role in the globalization of businesses. The necessary concepts and ideas to understand the issues in the global or international use of information technology. IT environments around the world, national infrastructures and regulatory regimes, global IT applications, global IS development strategies, global management support systems, and global IT management strategies.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
Prereqs: Senior Standing; Open to SCMA Majors Only; SCMA 331; SCMA 335; MRKT 346; 2.5 GPA.
The focus of this course is on bringing together the concepts and theories of Supply Chain Management through the application in real world settings. Students will emulate decision making through simulated applications and will work with local/regional organizations to make improvements or explore opportunities enhancing supply chain applications.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
SCMA 499H
Prereqs: Good standing in the University Honors Program or by invitation, and permission.
Conduct a scholarly research project and write a University Honors Program or undergraduate thesis.
Credit Hours: 3-6
Max credits per degree: 6
Course Format: Independent Study 3
Course Delivery: Classroom
Analytical approach to the design, planning, and control of operations management systems, including domestic and international, manufacturing and service operations.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Taught predominately by the case method with a few classes for review and summary lectures. Concentrates on higher management decisions involving the manufacturing, service, and public sectors. Facilities planning, labor, aggregate planning, strategic planning, capacity management, and trade-off analysis.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Advanced conceptual and methodological practices in designing and planning supply chain systems. Advances and strategies in supply chain procurement, transportation, distribution and warehousing, globalization, outsourcing, and technology.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Focus on the improvement of supply chain operations through the application of lean management principles.  Topics include just-in-time, six-sigma, theory of constraints, and associated tools and applications.  The course would be offered primarily in the on-line MBA program.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: Admission to MBA or Supply Chain Certificate Program
Planning and managing projects from initiation through implementation.  Use of tools and techniques for bidding, planning budgeting scheduling, risk management and implementation.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Analytical and simulation models for decision making in functional areas such as finance, accounting, marketing, personnel, operations, and inventory. Construction of decision models for practical applications. Emphasis on analyzing alternatives and implementing solutions that result in increased productivity.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Focus on global aspects of supply chain managing with primary emphasis on sourcing and distribution strategies. Topics will include sourcing strategies, concepts and tools.  Specific issues include make versus buy decisions, supplier evaluation and selection, total cost of ownership, contracts and legal terms, negotiation, and purchasing ethics.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Examination of physical distribution activities in the marketing mix from the viewpoints of both providers and users of components of logistics systems. Logistics problems of concern to the marketing manager include time and place utility concepts, spatial relationships of markets, channel design, transportation modes, and inventory management.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Technological advancements to include radio frequency identification systems, automated storage and retreival systems, distribution routing systems.  Description of physical characteristics, potential to support supply chain management, and implications on inventory management within supply chains.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: GRBA 851.
This course will focus on how knowledge management has been successfully applied in business in the form of predictive analytics. Predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. It will also describe in non-technical terms the statistical and artificial intelligence-based tools commonly used in forecasting and other business decisions involving big data.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: GRBA 851.
Technology of databases and related human and managerial considerations.  Databases are studied from the perspective of the logical organization, as well as from the perspective of managers and applications programmers, in the use of organizational data.  Consideration of physical organization and SQL. Practical applications of databases.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: GRBA 851.
Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data.  Actionable means that value can be obtained, which for businesses usually relates to making money.  This course will focus on how data mining has been successfully applied in business.  It will also describe in non-technical terms how the statistical and artificial intelligence-based tools commonly used in data mining work.  The course will also address ethical issues related to use of information obtained through data mining.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: GRBA 851.
This course will focus on exploratory and initial data mining, including cluster analysis and link analysis.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: GRBA 851.
This course will focus on how optimization modeling techniques can be used to make the best decisions in a variety of business analytics applications. The emphasis will be on the formulation of different optimization problems and the use of the correct quantitative techniques to solve these problems.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
Prereqs: Permission of Department Chair.
Specific topic covered in any given term and credit awarded is to be determined by the instructor.
Credit Hours: 1-6
Max credits per degree: 6
Course Delivery: Classroom, Web

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