Supply Chain Management and Analytics (SCMA)
Description: Variety of topics on the undergraduate level.
Cannot be taken Pass/No Pass. SCMA 250 can be used to replace a D or F grade in SCMA 350L.
Description: Organization, analysis and evaluation of data using advanced features of Microsoft Office to solve business problems.
Prerequisites: Open to CoB Majors, 2.5 GPA, MNGT 101 (or MNGT 101T concurrent), MATH 104 or 106, ECON 215 (or concurrent), BSAD 222, SCMA 250 (or ACTS 250).
Cannot be taken Pass/No Pass.
Description: 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.
Prerequisites: MRKT 341
Description: Basic concepts used in analyzing marketing channels, identifies the issues of designing sound channels, the issues of managing them effectively, and evaluating their performance.
Prerequisites: Open to CoB Majors, 2.5 GPA, MNGT 101 (or MNGT 101T concurrent), MATH 104 or 106, BSAD 50, BSAD 220, ECON 215, SCMA 250 (or ACTS 250)
Cannot be taken Pass/No Pass.
Description: 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.
Prerequisites: COB Honors only. Sophomore; SCMA250; 2.5 GPA; MATH 104,106,107 or 208; BSAD 220; ACCT 201 & 202; ECON 211 & 212; ECON 215 or equivalent. Prereqs differ for RAIKES,ACTS& ABUS mjrs. Credit toward the degree cannot be earned in both SCMA 350 and SCMA 350H.
Cannot be taken Pass/No Pass.
Description: 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.
Prerequisites: Permission of department chair
Topic varies. Specific topic covered in any given term and credit awarded is to be determined by the instructor.
Prerequisites: An undergraduate major in the College of Business with at least sophomore standing and departmental consent and acceptance into an approved internship. Departmental credit for course cross-listings may have additional requirements for consent.
May be repeated.
Description: Provides an opportunity to study theories, principles, practices, techniques, and strategies utilized in the business field through an internship related to the major field of study and an integral or important part of their program of study. Reflect on classroom knowledge and develop practical experience in professional business situations through an approved internship.
Prerequisites: Junior standing; permission of supervising instructor and department chair
Description: Special research project or reading program.
Prerequisites: SCMA 331; 2.5 GPA
Description: Analytical approach to the design, planning, and control of operations management systems, including domestic and international, manufacturing and service operations.
Description: 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.
Prerequisites: SCMA 331; 2.5 GPA
Description: 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.
Prerequisites: SCMA 331; 2.5 GPA
Description: Planning and managing projects including project initiating and bidding, planning, budgeting and cost estimation, scheduling, managing risks, and final implementation.
Description: 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.
Description: 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.
Prerequisites: SCMA 331
Description: 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.
This course is a prerequisite for: SCMA 474
Description: 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.
The course is designed for students interested in Business Analytics in all business majors, as well as students who are primarily interested in the applications of computational modeling and statistical programming in fields such as engineering, basic sciences, sociology, psychology.
Description: Introduction to intermediate and advanced approaches for business data visualization and communication in the context of analytics. Topics include best practices for explaining, summarizing and interpreting analysis, results, insights and recommendations in response to typical decision problems encountered in organizational settings across industries such as finance, healthcare, retail, and government. Consideration of methods for data visualization and dissemination of analytics-driven insights that are most appropriate for different areas of analytics, including descriptive, predictive and prescriptive approaches.
This course is a prerequisite for: SCMA 454
Prerequisites: SCMA 350; 2.5 GPA
Description: 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.
Prerequisites: SCMA 350; 2.5 GPA
Description: 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.
Prerequisites: SCMA 350; GPA 2.5
Description: Introduction to techniques used for data exploration, data visualization and data mining, which support humans in identifying actionable information from large amounts of data. Demonstrates the process of machine learning and data mining for business applications, including data cleaning, transformation, partitioning, and validation. Methods covered include association rules, collaborative filtering and cluster analysis techniques. Methods will be implemented using relevant computing tools. In addition to unsupervised learning techniques, other machine learning concepts will also be introduced conceptually.
This course is a prerequisite for: SCMA 454
This is an experiential learning capstone course open only to students majoring in business analytics.
Description: Focuses on the application of the concepts of business analytics to problems encountered in real world settings. Engage with diverse types of organizations, including businesses, non-profit organizations and government agencies, to collect and analyze data with the objective of addressing a relevant problem and providing implementable solutions. Gain experience in communicating to stakeholders regarding data, analysis, results, and recommendations.
Prerequisites: SCMA 350; 2.5 GPA
Description: 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.
Prerequisites: SCMA 350; 2.5 GPA
Description: 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.
Description: Focus on the concepts and theories of Supply Chain Management through their application in real world settings. Engage in decision making through simulated applications and/or work with local/regional organizations to make improvements or explore opportunities for enhancing supply chain practice.
Prerequisites: Good standing in the University Honors Program or by invitation, and permission
Description: Conduct a scholarly research project and write a University Honors Program or undergraduate thesis.