Information and Operations Management (IOM)
Course Descriptions
The number in parentheses ( ) following each course title refers to the number of units the course is or may be worth.
502 Operations Strategy (3) Provides students with a set of frameworks, analytical tools/concepts needed to design, evaluate, and implement strategies that effectively address management/operations of large systems effectively.
504 Strategic Sourcing (3) Examines the role of strategic procurement in supply-chain management organized into such topics as sourcing, outsourcing, e-procurement, and procurement integration collaboration.
520 Logistics Management (3) Gives students a managerial knowledge of basic logistics concepts and principles. Some topics include management of logistics cost integration, transportation, distribution, and customer service.
521
522 Applied Time Series Analysis for Forecasting (3) Survey of forecasting and time series methods. Models for stationary and nonstationary time series; ARIMA model identification, estimation, and forecast development. Seasonal and dynamic models. Recommended preparation: MBA-level Managerial Statistics course.
525 Quality Improvement Methods (3) Quantitative and managerial approaches for improvement of quality and productivity in service and manufacturing operations; control charts, process capability assessment; implementation of quality improvement plans. Recommended preparation: MBA-level Managerial Statistics course.
527 Managerial Decision Analysis (3) Decision making under uncertainty with applications to finance, marketing and operations. The decision analysis process for competitive decision situations and managerial risk taking. Recommended preparation: MBA-level Managerial Statistics Operations Management courses.
528 Data Warehousing, Business Intelligence and Data Mining (3) Introduction to data warehousing, multidimensional database, online analytical processing, and survey of business intelligence applications that extract useful information from data warehouses: e.g., decision tree. Business applications emphasized.
529 Advanced Regression Analysis (3) Computer-assisted analysis of business data; advanced multiple regression analysis, survey analysis, ANOVA testing for Marketing-type applications and Times Series Analysis methods will be covered. Prerequisites: MBA-level Managerial Statistics course.
530 Applied Modern Statistical Learning Methods (3) Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
531 Managing Business in the Network Era (3) Creating business advantage with IT, crafting business models, building networked business, making a case for a networked business, understanding internetworking infrastructure, assuring reliable and secure IT outsourcing.
533 Information Systems Implementation (3) How to implement information systems so they will succeed: business case analysis, requirements specification, CASE tools, IS risk management, interface design.
535 Database Management (3) Design, build and implement database systems at professional levels. Key topics include: process versus entity matrix, data modeling (enterprise, conceptual, logical), normalization, optimization and implementation.
537 Global Businesses and Markets: Strategies Enabled by Technology (3) Global markets for products and services and strategies enabled by technology; spans businesses ranging from financial services, media and entertainment, and technology to specialized manufactured products.
538 Information Systems Strategy (3) Strategic aspects of managing information technology in organizations; concepts and principles of information management processes; behavior issues in implementation.
540 Managing Electronic Commerce (3) Offers a conceptual framework to the study of electronic commerce. The purpose of the course is to give students a broad understanding of various aspects of electronic commerce: technological infrastructure, managerial implications of existing and emerging business models, and internal process changes to prepare companies for electronic commerce.
542 Developing a Firm's Intellectual Assets (3) Best practices in organizational knowledge creation, valuation and management; search engines, intelligent agents, and collaborative technologies; reengineering knowledge work. Recommended preparation: completion of required M.B.A. courses.
543 Global Business Issues in the Networked Digital Industry (3) Assessing business impact of emerging technologies on companies, business models and strategies in the "converging" digital communications, media and entertainment industries: incorporates company field projects.
547 Designing Spreadsheet-Based Business Models (3) Application of decision analysis, simulation and optimization techniques to managerial problems. Students learn how to create and present useful spreadsheet models to analyze practical business models. Recommended preparation: completion of required M.B.A. course work.
551 Managing Global E-Business (3) Global e-business practices; e-business value propositions and business models; managing e-business processes and transformation; e-business technology infrastructure evaluation. Cases, readings, technology briefs, and speakers.
580 Project Management (3) Applications of systems theory and concepts, matrix organizational structures, PERT/CPM project modeling, and management information systems to the management of complex and critical projects. Recommended preparation: MBA-level Operations Management course.
581 Supply Chain Management (3) Issues in supply chain management. Supply chain performance and dynamics. Tools for planning, control and coordination. Supply chain design and strategy. Recommended preparation: MBA-level Operations Management course.
582 Service Management: Economics and Operations (3) Examination of the service industry from a managerial and entrepreneurial perspective; emphasis on the tactical decisions needed to design and deliver successful and profitable services. Recommended preparation: MBA-level Operations Management course.
583 Operations Consulting (3) Development of conceptual and analytic skill for improving operations. Analysis of business strategy, formulating and implementing operations strategy, process analysis and design, and project management. Recommended preparation: MBA-level Operations Management course.
584 Global Operations Management (3) Students gain exposure to the spectrum of issues which are critical to the globalization of operations and basic tradeoffs associated with global operations management decisions.
592 Field Research in Information or Operations Management (.5-4, repeatable) Individual or team projects studying the business practices of an industry, company, government agency, country, geographic region, etc. Proposal, data collection, analyses, and written report. Recommended preparation: completion of required M.B.A., M.Acc., or M.B.T. course work. Graded CR/NC.
593 Independent Research in Information or Operations Management (.5-4 repeatable) Individual research beyond normal course offerings. Proposal, research and written report/paper required. Graded CR/NC.
595 Internship in Information or Operations Management (.5-2 repeatable; units credited toward degree usually limited to 1) Supervised on-the-job business experience in the student's area of interest. (Curricular Practical Training) Recommended preparation: completion of required M.B.A., M.Acc., or M.B.T. course work. Graded CR/NC.
596 Research Practicum in Information or Operations Management (.5-2 repeatable) Hands-on practical experience working with a Marshall faculty member from the Information and Operations Management department on an ongoing research project. Recommended preparation: completion of required M.B.A., M.Acc., or M.B.T. course work. Graded CR/NC.
597 Consulting Project in Information or Operations Management (.5-5 repeatable) Individual or team projects solving real business problems for an existing business entity, domestic and/or international. Proposal, field research, analyses and oral and written presentations. Recommended preparation: completion of required M.B.A., M.Acc., or M.B.T. course work. Graded CR/NC
599 Special Topics (1, 1.5, 2, or 3, max 9) Selected topics reflecting current trends and recent developments in operations management, information systems, and decision support systems.
Not all courses are offered every semester. To view class schedules, please visit the USC Schedule of Classes at www.usc.edu/soc.
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