Computer and Information Systems (CIS)

CIS 401. Information Systems For Management. 3 credits

This course focuses on the theoretical foundations underlying management information systems and their vital role in the modern business environment. Topics include: information economics; innovative models of e-business and the impact of the Web on organizational transformation; the nature and operation of large-scale-enterprise in-formation systems; database and knowledge management systems; data communications; electronic commerce; business process re-engineering; and information-systems analysis, design and control. The strategic and economic impacts of competitive information systems are emphasized. Assignments and cases introduce students to modern quantitative business modeling concepts and analysis, and to sophisticated business applications of the Web and databases.

CIS 413. The Economics Of Information Management. 3 credits

This course covers economic approaches to the management of information systems (IS). Topics include: the value of information in an organizational setting; cost trends in hardware and software; the nature and implications of information asymmetries and objective conflicts in the IS setting, such as introducing new technology in an organization, the use of pricing and other control mechanisms such as budgets and corporate standards to manage IS re-sources; analysis of peak-load problems; outsourcing and EDI issues; and the effects of queuing and its associated externality. Several business cases are used to illustrate the issues.

CIS 415. Business Process Analysis And Design. 3 credits

This course studies the analysis, design, and automation of business processes. The course teaches system-modeling tools appropriate for the analysis and design of business processes and information systems. These tools are applied to electronic commerce ventures, the design of various service processes, logistics, and R&D activities. Key features of the course are: modern process analysis techniques, the study of cutting edge research results on work organization and design, and an introduction to rapid prototyping of new information systems. The course includes a comprehensive team-based field project involving a real business process. This project requires the application of the concepts and techniques taught in the course.

CIS 416. Advanced Information Technology. 3 credits

Information has become increasingly important to the modern corporation for conducting operations, improving efficiency, and maintaining competitiveness in rapidly changing markets. Effective use of information technology (IT) involves knowledge of the existing capacities, awareness of how information technology is changing, and imaginative use of the technology to enhance business performance. The course contains a broad coverage of trends in IT development (e.g., hardware, software, systems architecture, networks, security, etc.), and how these components can be used for new business applications. The emphasis is not on the technology, but rather on managerially evaluating its usefulness for solving business problems. Topics to be covered include: client-server architecture, data warehousing, data mining, decision support, enterprise resource planning, knowledge-based systems / artificial intelligence, networks and security, object-oriented and Web-based programming languages, and technology for project managers. All students are required to complete a group project on the business implications of these technologies. They have to look at these technologies from the perspective of a business consultant who needs to understand how to match the right technology with his or her customers' business problems.

CIS 417. Introduction To Business Analytics. 3 credits

This course covers the emerging field of business analytics (BA) or 'data mining' and expands and develops the students' analytical tool kit in analyzing massive data sets. Using case studies and hands-on data sets, students will learn advanced data query techniques, data cleaning and organization, explore various machine learning techniques including supervised and unsupervised classification schemes, text classification, clustering techniques as well as predictive analytics. Students will gain hands-on experience with a variety of software tools, including SQL, SAS, R, Tableau, and Weka - an open source platform for data mining.

CIS 418. Adv Bus Modeling & Analysis Using Spreadsheets. 3 credits

The course expands and develops students' analytical tool kit through 'hands on' training in the effective use of spreadsheet-based tools for advanced managerial analysis. Students perform quantitative analysis of advanced problems in options pricing, investments, corporate finance, marketing, and operations. The course enhances and reinforces the analytical skills developed in earlier MBA classes such as formulating and solving large-scale business problems using quantitative models, risk simulation and sensitivity analysis. Spreadsheet tools introduced in this class include Visual Basic for Applications (V.B.A.) and stochastic optimization using Optquest. Students who successfully complete the course should possess cutting-edge skills in spreadsheet business modeling and analysis.

CIS 432. Predictive Analytics using Python. 3 credits

This course introduces students to advanced business analytics techniques and the practical aspects of applying these techniques in Python, one of the leading programming languages and platforms for data science. Topics include classification algorithms (such as support vector machines), clustering algorithms (e.g., K-means), and ensemble methods. In addition to machine learning algorithms, we will explore the software tools that constitute the Python data science ecosystem.

CIS 434. Social Media Analytics. 3 credits

The rise of social media has empowered customers in an unprecedented way. They are well connected with each other through platforms like Facebook and Twitter, and they can easily express and distribute their criticisms or endorsements publicly to large audiences in real time. This fundamental shift in power is forcing companies to actively manage their presence on social media platforms. Technology and strategies are increasingly intertwined in this new frontier of innovation and competition. This course draws on a unique blend of social media strategies and the rapidly evolving information technologies supporting these strategies. We will discuss issues related to the monitoring, analyzing, and designing of social media for companies in different industries.

CIS 437. Marketing On The Internet. 3 credits

This course examines the major issues involved in marketing on the Internet. Among the topics studied are: new product opportunities on the Internet; the changed role of advertising; the Internet as a two-way communication medium with consumers; targeting individual consumers; word-of-mouth among consumers on the Internet; the Internet as a distribution channel; and marketing research on the Internet.

CIS 440. Electronic Commerce Strategy. 3 credits

This course covers electronic strategies for business-to-business and consumer e-commerce. This includes strategies for protecting market share by going online, ameliorating online competition using network effects and customer lock-in, positioning against other online presences, dealing disintermediation and re-intermediation, developing online communities for business or consumer e-commerce, and managing supply chain and customer relationships.

CIS 442D. Advanced Business Analytics. 3 credits

This course introduces students to advanced business analytics techniques and the practical aspects of applying these techniques in Python, one of the leading programming languages and platforms for data science. Topics include classification algorithms (such as support vector machines), clustering algorithms (e.g., K-means), and ensemble methods. In addition to machine learning algorithms, we will explore the software tools that constitute the Python data science ecosystem.

CIS 442E. Data Management for Analytics. 3 credits

This course is designed to provide students with concepts and skills in managing data using traditional and cloud based systems. The course covers theory of database systems, data manipulation techniques, data integration and cleaning, and working with modern and advanced data architectures. The class covers both theory and hands on activities using Microsoft Access, SQL, Tableau and R. Microsoft Access, SQL, Tableau and R may be used extensively in class, for assignments and exams. Class lectures will focus on broadly highlighting the textbook topics with additional insight using supplemental material, in-class discussions and answering students' questions. Students are expected to prepare for every class period by reading the assigned reading material.

CIS 446. Financial Info Systems. 3 credits

This course examines the role that advances in telecommunications, the Internet, and information systems play in the financial markets and the financial services industry. An in-depth understanding of operations of industry is developed while studying technology's transformative role. The class explores subjects such as electronic trading systems competing with traditional exchanges and Internet brokerage firms challenging full-service brokerage firms and banks for customers. How trends in these areas will appear in other kinds of electronic commerce are discussed, the latest developments in financial markets and the financial services are examined, and case studies are used in many classes.

CIS 461. Strategy And Business Systems Consulting Practicum. 3 credits

This course provides students with an introduction to strategy and business systems consulting. It is aimed at students who wish to explore career opportunities within the major consulting firms, but is also relevant for students considering a career as an independent consultant, or within a corporation's internal consulting group. The course focuses on three areas (1) The Consulting Industry: Students will examine several types of consulting (e.g., strategic, operations, systems, human resource, and marketing) and understand where the major consulting firms position themselves. The career paths for graduates entering the industry, and the skills and values necessary for success as a consultant will be scrutinized. (2) The Business Systems Consulting Process: The creation of proposals, the winning of consulting engagements, and the preparation of contracts will be discussed. The typical stages of a business systems consulting engagement (e.g., problem framing, analysis design, gathering data, interpreting results, architectural solution, and presentation of recommendations) and managing different sorts of consulting projects (e.g., operational improvement, supply-chain optimization, quality improvement, strategy formulation, and organization design) will be examined. (3) Consulting Skills: The role of the consultant and the human dimension will be discussed (e.g., personal attributes of consultants, relationship building, and team building). Diagnostic tools and data gathering techniques (e.g., questionnaires and interviews) will be presented. Frameworks for problem solving, and communicating recommendations will also be introduced. The course examines a wide range of modern global business challenges and opportunities from both the consultant's and the manager's perspectives and provides a learning platform to integrate and practice the skills and knowledge learned.

CIS 465. Practicum in Business Analytics I. 0 credits

This course provides MS and MBA students with the opportunity to use the skills they have developed through other coursework in statistics and analytics to the development and execution of a capstone project. The projects, using real-world situations and data, will serve as preparation for careers in industries such as marketing, consulting, and finance that require extensive knowledge and application of data science.

CIS 465A. Practicum in Business Analytics I. 0 credits

This course provides MS and MBA students with the opportunity to use the skills they have developed through other coursework in statistics and analytics to the development and execution of a capstone project. The projects, using real-world situations and data, will serve as preparation for careers in industries such as marketing, consulting, and finance that require extensive knowledge and application of data science.

CIS 465B. Practicum in Business Analytics II. 3 credits

This course provides MS and MBA students with the opportunity to use the skills they have developed through other coursework in statistics and analytics to the development and execution of a capstone project. The projects, using real-world situations and data, will serve as preparation for careers in industries such as marketing, consulting, and finance that require extensive knowledge and application of data science.

CIS 501. Phd Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.

CIS 502. Phd Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.

CIS 503. Phd Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.

CIS 512. Adv Topics in Database Design. 3 credits

This course examines current research issues in database management systems. Topics include: database-design methodologies, semantic models, semantic integrity constraints, object-oriented approaches and applications of artificial intelligence to database management systems.

CIS 521. PhD Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.

CIS 522. PhD Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.

CIS 523. PhD Seminar in CIS. 3 credits

These six PhD seminars are offered in the fall, winter, and spring quarters, with topics selected from the following: decision-support systems, economics of information and the valuation of information systems, issues in the management of information systems and the economics of computing, advanced topics in systems analysis and design, organizational aspects of information systems, logical and physical database design, and topics discussed in the joint CIS/OMG PhD seminars.