| source UC Santa Cruz (X) |
level |
department Information Systems Management (X) |
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.
Score: 11.672178 Details | Listing | Web page
Addresses the use of information systems (IS) within a business enterprise. Subjects include computer hardware and software concepts, system design and implementation, telecommunications, data management, transaction-based systems, management information systems, and the use of IS to compete. Intended for information system management and business management economics majors.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
Students submit petition to sponsoring agency. May be repeated for credit.
Score: 11.672178 Details | Listing | Web page
Students submit petition to sponsoring agency. May be repeated for credit.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.)
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
Intended for majors. Students submit petition to sponsoring agency.
Score: 11.672178 Details | Listing | Web page
Intended for majors. Students submit petition to sponsoring agency.
Score: 11.672178 Details | Listing | Web page
Intended for majors. Students submit petition to sponsoring agency. May be repeated for credit.
Score: 11.672178 Details | Listing | Web page
Intended for majors. Students submit petition to sponsoring agency. May be repeated for credit.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page
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.
Score: 11.672178 Details | Listing | Web page