Technology and Information Management
2013-14 General Catalog
Baskin School of Engineering
(831) 459-2158
http://www.soe.ucsc.edu
Program Description
Technology and Information Management (TIM) is a multi-disciplinary program that focuses on the integration of engineering, computer science, information technology, and business management for two purposes: the technology of management, which includes the design of information technology to solve business problems, and the management of technology, which includes the management of new-product development and entrepreneurship.
The program offers a bachelor of science (B.S.) degree as well as a minor. At the graduate level, it offers a professional masters of science in TIM and a Ph.D. in TIM.
TIM is a rigorous, challenging major for those students wanting to pursue careers in the management of information and technology. TIM students will receive a thorough grounding in the fundamental principles and practices of technology (in particular, computer science and computer engineering) and management, and the scientific, mathematics, and economics principles upon which they are built. In particular, they will become proficient in the following areas: strategy, planning, innovation, entrepreneurship, information technology, software design, product development, and supply-chain management.
The essence of the technology and information management major at UCSC is the integration of fundamental intellectual content from the disciplines of computer science, computer engineering, business management economics, and finance. TIM students learn how to apply the fundamentals of these diverse disciplines to solving problems that require the integration of management and technology, e.g., developing information technology systems to manage all activities and operations in a firm, e-commerce, managing and commercializing a new technology, and starting a new high-technology company.
To graduate with a B.S. in technology and information management, students normally complete 23 required courses (with four laboratories, totaling 120 quarter credits) plus four elective courses (20 quarter credits) for the technology and information management major program. To plan for completion of these course requirements within the normative time, students should consult with an adviser as early as possible. Honors students are likely to find the rigorous management and leadership elements of the new program of significant interest. Industrial interactions and projects are key features of this major.
Technology and Information Management Policies
Admissions Policy
Admission to the technology and information management major is selective. First-year applicants may receive direct admission at the time they apply to UCSC based on their high school record and test scores.
Admission to the major after a student has entered UCSC is based on a cumulative GPA of at least 2.5 in the foundation courses listed below for the Technology and Information Management Major.
Foundation Courses: Computer Science 12A/L, or 5J and 11; Computer Engineering 16; and Mathematics 19A-B, or Mathematics 20A-B; Technology and Information Management 50 (or Economics 1 and 2).
Students who are informed that they are not eligible to declare the major may appeal this decision by submitting a letter to the department undergraduate director within 15 days from the date the student was notified. Within 15 days of receipt of the appeal, the department will notify the student, college, and Office of the Registrar of the decision.
Letter Grade Policy
Technology and Information Management requires letter grading for all courses applied toward the B.S. in technology and information management. This policy includes courses required for the technology and information management major but sponsored by other departments.
Transfer Students
Transfer students must have completed all of the foundation courses listed above. A student lacking one foundation course may be admitted if they have completed at least one of AMS 5 or Math 22 (or 23A) or Econ 10A.
Admission of transfer students will be based on performance in all foundation and other courses transferable to the Technology and Information Management major.
Students should consult assist.org to determine which courses at other institutions in California are transferable to UCSC.
School of Engineering Policies
Please refer to the School of Engineering section of the catalog for additional policies that apply to all School of Engineering programs. These policies include admission to the major, limits on the number of times courses can be attempted, and the need for UCSC students to obtain pre-approval before taking courses elsewhere.
Preparation for the Major
The technology and information management major is intended for students with an interest in both technology and business. It is recommended that students intending to declare this major have completed four years of mathematics (through advanced algebra and trigonometry) and three years of science in high school. Completion of business-oriented computer literacy and basic programming courses is of benefit to students entering this major. Completion of any economics and/or business-related courses in high school is also beneficial, but the faculty realizes that these courses may not be available at many high schools. Completion of comparable college courses at other institutions serves to strengthen the preparation of a student for the technology and information management major.
Requirements of the Technology and Information Management Major
In addition to completing UCSC general education requirements, students must complete 23 required courses (with four laboratories, totaling 120 quarter credits) plus four elective courses (20 quarter credits) for the technology and information management major program. To plan for completion of these course requirements within the normative time, students should consult with a School of Engineering adviser as early as possible. These 27 courses include the following:
Required Courses (23 courses plus four laboratories)
Applied Mathematics and Statistics (one 5-credit course)
Applied Mathematics and Statistics 5, Statistics
Mathematics (five 5-credit courses)
19A-B, Calculus for Science, Engineering, and Mathematics; and
22, Introduction to Calculus of Several Variables; or 23A, Multivariable Calculus, and
Applied Mathematics and Statistics 10A and 20A, Basic Mathematical Methods for Engineers I and II
(3 credits each); or Applied Mathematics and Statistics 10 and 20, Mathematical Methods for Engineers I and II; or Mathematics 21, Linear Algebra and Mathematics 24, Ordinary Differential Equations
Economics (five 5-credit courses)
1 Introductory Microeconomics: Resource Allocation and Market Structure
2 Introductory Macroeconomics: Aggregate Economic Activity
10A, Economics of Accounting
100A, Intermediate Microeconomics; or
100M, Intermediate Microeconomics Math Intensive
113, Introduction to Econometrics
Computer Engineering (three 5-credit courses and two 2-credit laboratories)
12/L, Computer Systems and Assembly Language/Laboratory
16, Applied Discrete Mathematics
150/L, Introduction to Computer Networks/Laboratory
Computer Science (three 5-credit courses and two 2-credit laboratories)
12A/L, Introduction to Programming(Accelerated)/Laboratory; or 5J, Introduction to Programming in Java and 11, Intermediate Programming
12B/M, Introduction to Data Structures/Laboratory
182, Introduction to Database Management Systems
Technology and Information Management (five 5-credit courses and one 2-credit seminar)
50, Business Information Systems
58, Systems Analysis and Design
101, Management of Technology Seminar
105, Management of Technology I
125, Management of Technology II
158, Business Strategy and Information Systems
Elective Courses (four courses)
Two 5-credit School of Engineering courses
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Students select two upper-division School of Engineering electives on the basis of their particular interests. These electives may be any 5-credit upper-division or graduate School of Engineering courses, with the following limitations:
- either Computer Engineering 153 or Electrical Engineering 153, but not both;
- either Applied Mathematics and Statistics 131 or Computer Engineering 107, but not both;
- at most one independent or field-study course (193, 195, 198, 199) with prior approval from the department to be used as an elective.
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One 5-credit upper-division economics course
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One 5-credit, upper-division School of Engineering or economics course (the limitations on School of Engineering electives given above apply)
Technology and Information Management Major Planners
The following are three sample academic plans for students to complete during their first two years as preparation for the technology and information management major. Plan One A is recommended for students who are more proficient in mathematics and programming and Plan One B is recommended for students who need more time to develop proficiency in mathematics and programming. Plan Two is for students who are considering the major.
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Plan One A |
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|---|---|---|---|
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Year |
Fall |
Winter |
Spring |
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1st |
ECON 10A |
ECON 1 |
ECON 2 |
|
MATH 19A |
MATH 19B |
CMPE 16 |
|
|
college core |
|||
|
2nd |
CMPS 10 |
CMPS 12A/L |
CMPS 12B/M |
|
TIM 50 |
TIM 58 |
AMS 10A |
|
|
ECON 100A |
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|
Plan One B |
|||
|---|---|---|---|
|
Year |
Fall |
Winter |
Spring |
|
1st |
ECON 1 |
ECON 2 |
TIM 50 |
|
MATH 3 |
MATH 19A |
MATH 19B |
|
|
college core |
|||
|
2nd |
CMPS 10 |
CMPS 5J |
CMPS 11 |
|
ECON 10A |
TIM 58 |
AMS 10A |
|
|
CMPE 16 |
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|
Plan Two |
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|---|---|---|---|
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Year |
Fall |
Winter |
Spring |
|
1st |
ECON 1 |
ECON 2 |
TIM 50 |
|
|
|||
|
2nd |
CMPS 10 |
CMPS 5J |
CMPS 11 |
|
MATH 3 |
MATH 19A |
MATH 19B |
|
|
ECON 10A |
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Disciplinary Communication (DC) Requirement
Students of every major must satisfy that major's upper-division Disciplinary Communication (DC) requirement. The DC requirement in technology and information management is satisfied by completing course 158.
Comprehensive Requirement
Students complete two project-intensive courses, Technology and Information Management 158 and Technology and Information Management 105, which constitute the comprehensive requirement for the technology and information management major, based on the dual aspects (technology of management and management of technology) of the program. Course 158 deals with the technology of management, and course 105 deals with the management of technology. Both courses involve a substantial amount of critical thinking and writing within the context of comprehensive projects.
Technology and Information Management 158, Business Strategy and Information Systems, requires that students understand and use a structured methodology to evaluate the competitive use of information systems within an enterprise. This is accomplished by a team project as well as by an individual project that involves researching and writing a comprehensive analytical term paper using a methodology taught as part of this course.
Technology and Information Management 105, Management of Technology I, requires that students understand and apply structured methodologies for the development, management, and commercialization of technologies and products. Students will work in teams on a comprehensive term project in the development, commercialization, and management of technologies such as computers, networks, semiconductors, mechatronics, and biotechnology.
Honors
The TIM program awards honors to students whose academic performance is excellent. Students with a GPA between 3.5 and 3.75 will be awarded honors, and students with GPAs greater than 3.75 will be awarded high honors.
Minor in Technology and Information Management (TIM)
Purpose
There is a growing need in today’s increasingly complex socio-technological world for the fusion of information systems, technology, and business management for two important purposes: the use of information systems to solve business problems, and the management of technology, which includes new product development and enterprise management. The technology and information management (TIM) program therefore offers a minor in technology and information management (TIM) to provide undergraduates in the School of Engineering as well in other programs and divisions in the university, such as economics and business management economics, the physical and biological sciences, and arts, the opportunity to expand the breadth of their knowledge and training to include the management of information systems and the management of technology.
Rationale for the Courses
Courses for the technology and information management minor will include a combination of courses from the TIM program, computer engineering, computer science, and economics as well as the chains of prerequisites behind these courses. The TIM program courses for the technology and information management minor will include a mix of information systems and management of technology courses, providing students with a strong foundation in both the management of information systems and the management of technology.
Course Requirements
Requirements for the minor in technology and information management are the following:
Lower-Division Requirements
Mathematics (2 courses)
Mathematics 19A, Calculus (or Applied Mathematics and Statistics 11A/Economics 11A, Mathematical Methods for Economists, or Mathematics 11A, Calculus, or Mathematics 20A, Honors Calculus)
Mathematics 19B, Calculus (or Applied Mathematics and Statistics 11B/Economics 11B, Mathematical Methods for Economists, or Mathematics 11B, Calculus, or Mathematics 20B, Honors Calculus)
Computer Science (1 course)
12A/L, Introduction to Programming (Accelerated)/Laboratory; or Computer Science 5J, Introduction to Programming in Java; or Computer Science 5C, Introduction to
Programming in C/C++
Technology and Information Management (2 courses)
Technology and Information Management 50, Business Information Systems; and
One of the following courses:
Technology and Information Management 58, Systems Analysis and Design; or
Technology and Information Management 80C, Starting a New Technology Company
Upper-Division Requirements
Mathematics (1 course)
One of the following courses:
Economics 113, Introduction to Econometrics; or
Computer Engineering 107, Mathematical Methods of Systems Analysis: Stochastic; or
Applied Mathematics and Statistics 131, Introduction to Probability Theory
Upper-Division Electives (4 courses)
Four upper -division courses selected from the following:
Technology and Information Management 105, Management of Technology I
Technology and Information Management 125, Management of Technology II
Technology and Information Management 158, Business Strategy and Information Systems
Computer Engineering 150/L, Introduction to Computer Networks/Laboratory
Computer Science 180, Database Systems I (or Computer Science 182, Introduction to Database Management Systems)
Economics 100A, Intermediate Microeconomics (or 100M, Intermediate Microeconomics, mathematics intensive)
Economics 100B, Intermediate Macroeconomics (or 100N, Intermediate Macroeconomics, mathematics intensive)
With pre-approval from the technology and information management undergraduate director, up to two graduate technology and information management courses may be used to satisfy upper-division elective requirements.
Graduate Programs
Technology and Information Management Ph.D. and Master’s Degrees
Technology and information management (TIM) is a new and distinct discipline within engineering, combining technology management, systems engineering, and information technology. TIM’s research and academic programs, combining information technology with both knowledge management and systems management, address problems facing firms today as they deal with more complex decisions in a global environment, facing new business models (e.g., “services”) and business practices. TIM places special emphasis on research arising from challenges faced in creation and management of knowledge-based services and enterprises. TIM themes include:
Management and optimization of enterprise systems, which is the integration of business, technology, and management perspectives to enable an entity to achieve enhanced growth and profitability through use of analytical methods including stochastic models, optimization, game theory and knowledge management.
New product, technology, and services management, which is the design and development of products and services, the design and risk management of product portfolios, and pricing.
Financial engineering, which addresses the management of rise, reward, and allocation of resources in technology development and deployment.
Information retrieval and knowledge management, which includes semantic mining and machine learning, linking business to knowledge management.
TIM offers a master of science (M.S.) degree as a terminal degree for engineers who wish to prepare for careers in management in high-tech enterprises, providing the appropriate breadth and depth of courses for preparation of theses engineering managers.
The TIM doctor of philosophy (Ph.D.) degree focuses on research, with emphasis on analytic methods for managing high-tech enterprises, including product, services, and business-process innovation and development; financial engineering for technology and enterprise management; entrepreneurship; operations and supply-chain management; costing and strategy; marketing engineering; data mining; and the applications of information technology to knowledge-management, high-tech enterprises.
Base Requirement
Most entering students are expected to come from undergraduate engineering programs. Students with quantitative undergraduate preparation in the sciences, economics, or mathematics would also be prepared if they had significant industry experience in a technology field or if they are prepared to take extra courses and/or an internship in industry to obtain this background. The TIM M.S. attracts students now employed in industry and also recent B.S. graduates who have not yet entered the workforce. For this latter group, industrial experience will be encouraged though internships with local companies. TIM M.S. students may take up to two upper-division, undergraduate, prerequisite courses and, with adviser approval, may count these as credit toward the M.S. degree. (These courses will not count as credit toward the Ph.D. degree.)
Mathematics
Probability and statistics (AMS 131)—Focus on probability models, random variables, maximum likelihood and Bayesian estimation
Linear algebra (AMS 10 or MATH 21)
Differential equations (AMS 10 or MATH 24)
Computer Science
Abstract Data Types (CMPS 101)—Focus on abstract data types and common algorithms
Programming project (e.g., CMPS 104A, CMPS 115, CMPS 111)—Any upper-division, computer science course that involves a large programming project
Database systems (CMPS 180, 181)
Computer Engineering
Probability and Statistics for Engineers (CMPE 107)
Computer networks (CMPE 150, 151)
Computer Architecture (CMPE 110)
Applied Graph Theory and Algorithms (CMPE 177)
Economics
Microeconomics (ECON 100A)
Macroeconomics (ECON 100 B)
Managerial Economics (ECON 101)—Includes pricing schemes, non-price competition, and game theory
Field examinations and/or other pre-qualifying examinations
The graduate record examination (GRE) General Test is required for admission and a GRE subject advanced test—preferably in computer science, engineering, physics, or mathematics—is highly recommended. Chemistry and biology students with adequate training in mathematics and physics may also be considered. Student GPA of 3.5 or higher is recommended for admission into the program.
Relationship of Master’s and Doctor’s programs
The M.S. and Ph.D. programs have the same admission requirements. As in other SOE graduate programs, students admitted to the M.S. program may be subsequently admitted to the Ph.D. program by departmental approval. Ph.D. students may receive the M.S. degree upon fulfillment of the M.S. degree requirements.
Course requirements
Masters students must complete a minimum of 49 credits, comprising the following:
Four TIM core courses (20 credits minimum);
Two TIM seminars (4 credits minimum);
Four elective graduate courses offered by TIM, or relevant graduate courses from other UCSC departments as approved by the graduate adviser and the TIM graduate director. Up to two appropriate upper-division undergraduate courses may be used as electives, to strengthen a student’s preparation for graduate studies, with approval of the adviser. (20 credits minimum);
Thesis research or independent study (5 credits minimum).
Up to 15 credits of appropriate UCSC Extension XSC or concurrent credit may be used to satisfy the degree credit requirements (core and elective), as approved by the graduate adviser and TIM graduate director.
Ph.D. students must complete a minimum of 62 credits:
Four TIM core courses (20 credits);
Two TIM seminars (4 credits minimum);
Two elective graduate courses (10 credits) offered by TIM;
Three additional graduate electives (15 credits) chosen with approval of the adviser and TIM graduate director. Students may substitute other appropriate courses for the TIM core courses or electives with the approval of their adviser and TIM graduate director;
A minimum of 10 credits of thesis research or independent study;
Applied Mathematics and Statistics 200, Research and Teaching in AMS (3 credits), or Computer Science 200, Research and Teaching in Computer Science and Engineering (3 credits).
Master’s Requirements
Core Courses (4 required)
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TIM 205, Management of Technology I (5 credits)
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TIM 206, Optimization Theory and Applications (5 credits) (Possible substitutes include: ISM 207, CMPE 230, ECON 216, 217, AMS 205)
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TIM 225, Management of Technology II (5 credits), or ISM 270, Service Engineering and Management (5 credits) or Applied Mathematics and Statistics 215, Stochastic Modeling in Biology
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TIM 240, Information Technology for Decision Support: An Introduction (5 credits)
Seminars (2 required)
- Two ISM graduate seminars
Other Courses (electives)
-
Ten (10) or more credits of graduate courses in related disciplines outside the Baskin School of Engineering (requires adviser and graduate director approval). A maximum of two SOE upper-division undergraduate courses may be counted as electives when necessary to strengthen a student's preparation for graduate studies (requires adviser approval).
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All remaining credits must be graduate elective courses approved by the adviser and the TIM graduate director. The program offers a wide variety of electives (see Table 8, Section 5).
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With appropriate preparation and/or student interests, proposals will be accepted to allow substitution of another graduate course for one of the core courses. This proposal will require approval of the faculty adviser and the TIM graduate director.
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On-campus students serving as teaching assistants or who plan to pursue a Ph.D. must take Applied Mathematics and Statistics 200, Research and Teaching in AMS (3 credits), or Computer Science 200, Research and Teaching in Computer Science and Engineering (3 credits) before or during their first teaching-assistant (TA) assignment.
Optional Elective Concentrations: The range of elective options allows for the diversity of M.S. student interests. It also allows TIM M.S. students to specialize. For example, a student specializing in the following areas of management of technology and technology of management could take the corresponding elective classes:
Management of technology track—TIM 208, TIM 220, TIM 225, and TIM 230;
Technology of management track—TIM 209, TIM 245, TIM 260, CMPE 276, and CMPS 277.
Ph.D. Requirements
A minimum of 45 credits of approved graduate courses, of which 30 credits must be from courses offered by TIM (unless exceptions are approved by the faculty adviser and TIM graduate director);
Two TIM seminars (4 credits minimum);
Applied Mathematics and Statistics 200, Research and Teaching in AMS (3 credits), or Computer Science 200, Research and Teaching in Computer Science and Engineering (3 credits);
A minimum of 10 credits of dissertation research or independent study credits; and
Ph.D. dissertation.
The research areas in TIM are varied, and each will require a different sequence of classes to develop appropriate depth in analytical methods and technology. The selection of graduate courses will be in consultation with the dissertation supervisor.
Although there is no teaching requirement, students will be encouraged to gain teaching experience by becoming teaching assistants (TAs).
Where appropriate, research internships with companies, government laboratories, or elsewhere are recognized (and may be required) as an integral part of the research leading to the dissertation.
Revised: 09/11/13
