Information Systems Management

Baskin School of Engineering
335 Baskin Engineering Building
(831) 459-2158
http://www.soe.ucsc.edu

Lower-Division Courses

58. Systems Analysis and Design. W
Students learn how information technology is used to deal with business requirements and/or solve business problems. Provides an understanding of structured computer systems analysis and design methodologies and techniques and their application to business information systems. Intended for information systems management and business management economics majors. Prerequisite(s): course 50. Enrollment limited to 40. Y. Zhang

80C. Starting a New Technology Company. S
Focuses on the creation and management of technology start-ups and small companies, using case studies and team projects as the basis for learning and applying the course materials. (General Education Code(s): T7-Natural Sciences or Social Sciences.) S. Desa, R. Akella

94. Group Tutorial. F,W,S
A means for a small group of students to study a particular topic in consultation with a faculty sponsor. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

94F. Group Tutorial (2 credits). F,W,S
A means for a small group of students to study a particular topic in consultation with a faculty sponsor. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

99. Tutorial. F,W,S
Students submit petition to sponsoring agency. May be repeated for credit. The Staff

99F. Tutorial (2 credits). F,W,S
Students submit petition to sponsoring agency. May be repeated for credit. The Staff

Upper-Division Courses

101. Management of Technology Seminar (2 credits). F,W,S
Uses weekly talks by leading industry practitioners and university researchers to provide in-depth exposure to the management of technology. Topics covered include product development, operations, strategy, finance, and marketing for technologies such as software and information systems. May be repeated for credit. S. Desa

105. Management of Technology I. F
An in-depth examination of technological, strategic, marketing, and financial methods and analytical tools for the management of technology to enable cost-effective and rapid development of profitable and high quality technologies. Includes case studies and a comprehensive project. Students who receive credit for this course cannot also receive credit for course 80A; students who receive credit for course 205 cannot also receive credit for this course. Prerequisite(s): Mathematics 19B or 11B or Applied Mathematics and Statistics 11B or Economics 11B. S. Desa

125. Management of Technology II. W
High-technology enterprises must understand and operate effectively within their technology-business value chains in order to maximize profitability. This course develops and applies methods and tools for the design, optimization, selection, and management of these value chain networks. Students who receive credit for this course cannot also receive credit for course 80B; students who receive credit for course 225 cannot also receive credit for this course. Prerequisite(s): course 105. S. Desa, R. Akella

158. Business Strategy and Information Systems. S
Analysis of effective use of information systems within a business enterprise, with emphasis on gaining a competitive advantage. Integration of information systems with business strategy, financial justification, personnel, and organizational considerations are highlighted. Intended for information system management majors or senior engineering majors who have a business interest. Prerequisite(s): satisfaction of the Entry Level Writing and Composition requirements; course 50 or permission of instructor. (General Education Code(s): W.) K. Ross

193. Field Study. F,W,S
Provides individual programs of study with specific academic objectives carried out under direction of faculty member of Information Systems Management and a willing sponsor at field site. Uses resources not normally available on campus. Credit based on presentation of evidence of achieving objectives by submitting written and oral presentation. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

193F. Field Study (2 credits). F,W,S
Provides individual programs of study with specific academic objectives carried out under direction of faculty member of Information Systems Management and a willing sponsor at field site. Uses resources not normally available on campus. Credit based on presentation of evidence of achieving objectives by submitting written and oral presentation. Cannot normally be repeated for credit. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

194. Group Tutorial. F,W,S
A program of independent study arranged between a group of students and a faculty member. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

194F. Group Tutorial (2 credits). F,W,S
A program of independent study arranged between a group of students and a faculty member. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

195. Senior Thesis Research. F,W,S
Intended for majors. Students submit petition to sponsoring agency. The Staff

195F. Senior Thesis Research (2 credits). F,W,S
Intended for majors. Students submit petition to sponsoring agency. The Staff

198. Individual Study or Research. F,W,S
Intended for majors. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

198F. Individual Study or Research (2 credits). F,W,S
Intended for majors. Students submit petition to sponsoring agency. May be repeated for credit. The Staff

199. Individual Study or Research. F,W,S
Individual directed study for upper-division undergraduates. Students submit petition to sponsoring agency. Enrollment restricted to senior information systems management majors. May be repeated for credit. The Staff

Graduate Courses

205. Management of Technology I. F
Addresses technological, strategic, marketing, financial methods, and analytical tools for management of technology in an integrated manner that enables the cost-effective and rapid development of profitable and high quality technologies. Includes case studies and a comprehensive project. Students cannot receive credit for this course and either course 80A or 105. Enrollment restricted to juniors, seniors, and graduate students. S. Desa, R. Akella

206. Optimization Theory and Applications. W
A first graduate course in optimization with an emphasis on problems arising in management and engineering applications. Objectives are to become experts in problem formulation, comfortable with software for solving these problems, and familiar with analytical methods behind these solver technologies. Prerequisite(s): calculus and linear algebra. Enrollment restricted to graduate students. K. Ross

207. Random Process Models in Engineering. F
A first graduate course in stochastic process modeling and analysis with an emphasis on applications in technology management, information systems design, and engineering. Enrollment restricted to graduate students. Prerequisite: Computer Engineering 107 or other undergraduate probability course recommended. J. Musacchio

209. Knowledge Services and Data Analytics. F
Provides students with the systematic methodology and analytical tools to address the field of knowledge services in an integrated manner. Focuses on data, text, and business analytics. Includes training in the basic elements of stochastic optimization and other algorithmic approaches, such as stochastic dynamic programming, statistics, and machine learning. These methods enable corporate enterprises to achieve rapid, effective, and profitable optimization of knowledge-services management. Students are expected to have undergraduate preparation in probability and statistics. Undergraduates may enroll with instructor approval. Enrollment restricted to graduate students. Students are expected to have undergraduate preparation in probability and statistics. Undergraduates may enroll with instructor approval. R. Akella

211. E-Business Technology and Strategy. S
Surveys structure of modern information technology, the relation of that structure to structure of the industry that creates it, and the economic forces that drive the players in the industry. Building on these technological and economic concepts, studies how firms can craft a technology and business strategy to create and capture value in the information technology product and/or services sectors. Enrollment restricted to graduate students. J. Musacchio

225. Management of Technology II. W
High technology enterprises must understand and operate effectively within their technology-business value chains in order to maximize profitability. Course develops and applies methods and tools for the design, optimization, selection, and management of these value chain networks. Students cannot receive credit for this course and either course 80B or 125. Prerequisite(s): course 205 or consent of instructor. Enrollment restricted to juniors, seniors, and graduate students. S. Desa, R. Akella

240. Information Technology for Decision Support: An Introduction. S
Introduction to the information technologies useful to IT management. Reviews/surveys four major topics: 1) information systems: from computer technology—systems architecture (hardware and software), multiprocessors and cluster—to client-server, networking and distributed computing, data storage and data servers, file management, database systems, input/output technology, graphics and multimedia; 2) IT as a "service": commercial and open-course tools for information-system development and knowledge management; 3) managing, searching, and mining of structured and unstructured data; 4) decision-support systems that integrate knowledge with data mining and text mining tools to support decision-making in product development, supply-chain management, marketing, sales and logistics. Enrollment restricted to graduate students. The Staff, Y. Zhang, P. Mantey

245. Data Mining. S
Covers the principles, algorithms, and applications of data mining, including mining sequential data, structured data, stream data, text data, spatiotemporal data, biomedical data, and other forms of complex data. Enrollment restricted to graduate students. R. Akella, Y. Zhang

250. Stochastic Optimization in Information Systems and Technology. W
First in a sequence of courses in information systems and technology management (ISTM). Provides systematic methodology and corresponding set of methods and analytical tools to address the field of ISTM in an integrated manner; provides required training in stochastic optimization and other algorithmic approaches, such as dynamic programming, to achieve business intelligence in corporate enterprises. Students should have solid background in the following: probability equivalent to statistics, stochastic methods, calculus, linear algebra, mathematical maturity, stochastic processes, and optimization. Enrollment restricted to graduate students; undergraduates may enroll if they have completed Computer Engineering 107 or Applied Mathematics and Statistics 131 or have permission of instructor. Applied Math 205A and Computer Engineering 230 recommended. R. Akella

251. Information Systems and Technology Management 2. *
Provides a systematic methodology and corresponding set of methods and analytical tools in stochastic and neuro-dynamic programming used for business intelligence in corporate enterprises and A1 and Machine learning research and applications in computer science, computer engineering, and electrical engineering and related to applied mathematics and statistics, business, management, and economics. Students should have solid background in probability equivalent to statistics, stochastic methods, calculus, mathematical maturity, stochastic processes and optimization, business intelligence and algorithms. Prerequisite(s): Computer Engineering 107 or Applied Mathmatics and Statistics 131 or permission of instructor. Enrollment restricted to graduate students. Applied Mathematics and Statistics 205B, 230, and course 250 recommended. R. Akella

260. Information Retrieval. S
Course covers major topics of information retrieval, including statistical characteristics of text, several important retrieval models, text clustering, text classification, text filtering, web analysis, information extraction, peer-to-peer research, distributed search, personalized search, and other related topics. Enrollment restricted to graduate students. Undergraduates may enroll with permission of instructor. Y. Zhang

270. Service Engineering and Management. W
Introduction to service engineering and management, from the role of services in the global economy to analytical models in service operations management. This field is developing rapidly; the material covers the fundamental principles of services as well as recent research. Topics include designing efficient service networks, forecasting, resource allocation, and globalization. Enrollment restricted to graduate students. K. Ross, The Staff

280A. Graduate Research Seminar (2 credits). *
Weekly seminar series in topics of current research in information systems and technology management. Enrollment by permission of instructor. Enrollment limited to 30. May be repeated for credit. The Staff

280I. Seminar on Information Retrieval and Knowledge Management (2 credits). F
Seminar series discussing advanced topics in information retrieval and knowledge management. Current research and literature are presented during each meeting. Enrollment restricted to graduate students. Enrollment limited to 20. May be repeated for credit. Y. Zhang

280M. Sales and Marketing for Technologists and Engineers (2 credits). S
Perspective on the theory, plus examples, and tools useful to technologists and engineers for successfully guiding and supporting sales and marketing endeavors and, thereby, ensuring funding, staffing, product appeal, positive customer relationships, and marketplace success. P. Mantey, The Staff

280S. Seminar Topics (2 credits). *
Weekly seminar series of current research on a special topic in information systems and technology management. The theme of research presented throughout the course selected by the instructor. Topics may include, but are not limited to, knowledge planning, new product development and management of technology. Enrollment with permission of instructor. Enrollment limited to 30. May be repeated for credit. P. Mantey

293. Advanced Topics in Technology and Information Management (TIM). *
Advanced research topics in TIM (as determined by instructor). Topics include, but are not limited to, approaches and solutions to complex business problems, and development of information-based technology and services. Enrollment restricted to graduate students. Enrollment limited to 25. May be repeated for credit. P. Mantey, The Staff

297. Independent Study. F,W,S
Independent study under faculty supervision. Although course may be repeated for credit, not every degree program will accept a repeated course towards degree requirements. Students submit petition to sponsoring agency. Enrollment restricted to graduate students. May be repeated for credit. The Staff

* Not offered in 2008-09