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Major: Information Science, Systems, and Technology
Offered by: Department of Computer Science
(Information Science Option)
303 Upson Hall, 255.9837, www.infosci.cornell.edu/ugrad
and
School of Operations Research and Information Engineering
(Management Science Option)
202 Rhodes Hall, 255.5088, www.infosci.cornell.edu/ugrad
Program Objectives
The ISST Major studies the design and management of complex information systems. Rather than focusing on the computing and communication technologies that underlie digital information systems, the ISST Major emphasizes information systems engineering in broad application contexts, where issues at the confluence of information science, technology, and management are the primary concerns. The core courses in the field provide students with grounding in operations research modeling techniques of probability, statistics, and optimization; computer science; economics; and the social and organizational contexts in which transformative information systems exist. Students then choose one of two options: Management Science (MS) or Information Science (IS).
The Management Science option educates students in methods for quantitative decision-making and their application to information technology, as well as the broader role that information technology plays in making these methods effective. Management Science students take advanced courses in mathematical models in management science, information systems, mathematical modeling in IT, and information technology management solutions.
The Information Science option educates students in methods for the creation, representation, organization, access, and analysis of information in digital form. Students who choose the Information Science option take classes in information systems, mathematical modeling in IT, human-centered systems, and social systems.
Note: All courses used toward the ISST Major must be taken for a letter grade.
The Major requires ENGRD 270: Basic Engineering Probability and Statistics as an Engineering Distribution course. CS 211 is required by the Major and it is recommended that it be taken as an engineering distribution course.
The Major has seven (7) additional required courses in three areas: probability, statistics, optimization (two courses); information systems (three courses); and economic, organizational, and social context (two courses).
Students then complete the Major by specializing in either the Management Science option or the Information Science option (seven advanced courses); and by taking two Major-approved courses (The set of Major-approved elective courses is the same for both specialization options, and contains all the courses listed in the six areas below. In addition, students may choose to take INFO 490: Independent Reading and Research, as one of their Major-approved elective courses.)
Engineering Distributions
ENGRD 211: Object-Oriented Programming and Data Structures (required by the Major; recommended as a distribution course)
ENGRD 270: Basic Engineering Probability and Statistics (required)
Required Major Courses
OR&IE 320: Optimization I
OR&IE 360: Engineering Probability and Statistics II
INFO 230: Intermediate Design and Programming for the Web
OR&IE 311: Information Systems and Analysis
INFO 330: Data-Driven Web Applications
ECON 301: Microeconomics
or
ECON 313: Intermediate Microeconomic Theory
ILROB 175: Behaviors, Values, and Performance
or
INFO 245: Psychology of Social Computing
or
ENGRC 335: Communications for Engineering Managers
Information Science Option
Three courses from Information Systems (Area II below)
One course from Mathematical Modeling in Information Technology (Area III below)
Three elective courses: Students must choose either Human-Centered Systems (Area V) or Social Systems (Area VI) and take all elective courses from that area.
Management Science Option
The four courses in Mathematical Models in Management Science (Area I)
Three elective courses, one from each of
• Information Systems (Area II)
• Mathematical Modeling in Information Technology (Area III)
• Information Technology Management Solutions (Area IV)
Area I. Mathematical Models in Management Science
OR&IE 350: Financial and Managerial Accounting
OR&IE 361: Introductory Engineering Stochastic Processes I
OR&IE 480: Information Technology
OR&IE 580: Monte Carlo Simulation
Area II. Information Systems
CS 419: Computer Networks
INFO 430: Information Retrieval
INFO 431: Web Information Systems
CS 432: Introduction to Database Systems
CS 465: Introduction to Computer Graphics
CS 472: Foundations of Artificial Intelligence
CS 474: Introduction to Natural Language Processing
CS 501: Software Engineering
CS 513: System Security
INFO 530: The Architecture of Large-Scale Information Systems
CS 578: Empirical Methods in Machine Learning and Data Mining
Area III. Mathematical Modeling in Information Technology
INFO 372: Explorations in Artificial Intelligence
OR&IE 431: Discrete Models
OR&IE 474: Statistical Data Mining I
CS 478: Machine Learning
OR&IE 483: Applications of Operations Research and Game Theory to Information Technology
ECE 562: Fundamental Information Theory
Area IV. Information Technology Management Solutions
OR&IE 481: Delivering OR Solutions with Information Technology
OR&IE 518: Supply Chain Management
Area V. Human-Centered Systems
PSYCH 342a: Human Perceptions: Applications to Computer Graphics, Art, and Visual Display
INFO 345: Human–Computer Interaction Design
PSYCH 347: Psychology of Visual Communications
PSYCH 380a: Social Cognition
PSYCH 413: Information Processing: Conscious and Nonconscious
PSYCH 416a: Modeling Perception and Cognition
INFO 440: Advanced Human–Computer Interaction Design
INFO 445: Seminar in Computer-Mediated Communication
INFO 450: Language and Technology
DEA 470: Applied Ergonomic Methods
Area VI. Social Systems
SOC 304: Social Networks and Social Processes
AEM 322b: Information Technology Strategy
INFO 320: New Media and Society
INFO 349: Media Technologies
INFO 366: History and Theory of Digital Art
INFO 355: Computers: From the 17th Century to the Dot.com Boom
INFO 356: Computing Cultures
ECON 368b: Game Theory
INFO 387: The Automatic Lifestyle: Consumer Culture and Technology
S&TS 411: Knowledge, Technology, and Property
INFO 415: Environmental Interventions
ECON 419: Economic Decisions Under Uncertainty
INFO 429: Copyright in the Digital Age
INFO 435: Seminar on Applications of Information Science
OR&IE 435b: Introduction to Game Theory
INFO 444: Responsive Environments
INFO 447: Social and Economic Data
H ADM 474b: Strategic Information Systems
H ADM 489: The Law of the Internet and e-Commerce
INFO 515: Culture, Law, and Politics of the Internet
Information Science, Systems, and Technology Check List| | Minimum Credit Hours | √ When Done
|
| MATH 191 | 4 | ❑ |
| MATH 192 | 4 | ❑ |
| MATH 294 | 4 | ❑ |
| MATH 293 or 304 or CS 280 | 3 or 4
| ❑ |
| CHEM 209 or 215 | 4 | ❑ |
| PHYS 112 (or 116) | 4 | ❑ |
| PHYS 213 (or 217) | 4 | ❑ |
| PHYS 214 (or 218 or CHEM 208 or 216) | 4 | ❑ |
| CS 100 and 101 | 5 | ❑ |
| Introduction to Engineering: (ENGRI 1XX) | 3 | ❑ |
| Engineering Distribution 1: ENGRD 270 | 3 | ❑ |
| Engineering Distribution 2: CS 211c | 3 | ❑ |
| First-Year Writing Seminar 1d | 3 | ❑ |
| First-Year Writing Seminar 2 | 3 | ❑ |
| Liberal Studies Distributione—six courses (18-credit minimum) | | |
| Liberal Studies 1 | | ❑ |
Liberal Studies 2
| | ❑ |
| Liberal Studies 3 | | ❑ |
Liberal Studies 4
| | ❑ |
Liberal Studies 5
| | ❑ |
| Liberal Studies 6 | | ❑ |
| Advisor Approved Elective (two courses; 6-credit minimum) | | ❑ |
| Advisor Approved Elective | | ❑ |
Physical Education (two semesters) and swim test
|
| ❑
|
|
|
|
| Required Major Courses (52-credit minimum)f | | |
|
|
|
| OR&IE 320 | 3 | ❑ |
| OR&IE 360 | 4 | ❑ |
| INFO 230 | 3 | ❑ |
| OR&IE 311 | 4 | ❑ |
| INFO 330 | 3 | ❑ |
| ECON 301 or ECON 313 | 3 | ❑ |
| INFO 245 or ILROB 175 or ENGRC 335 | 3 | ❑ |
Information Science/Management Science
Option (nine course, 27-credit minimum) | | |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Specialization Elective | 3/4 | ❑ |
| Major-approved Elective | 3/4 | ❑ |
| Major-approved Elective | 3/4 | ❑ |
| Total Required Credits | 128 minimum
| |
Notes
a. Students who take PSYCH 342 or 416 may also count their prerequisite, PSYCH 205: Perception or PSYCH 214: Cognitive Psychology, toward the Human-Centered Systems requirement. Students who take PSYCH 380 may also count PSYCH 280: Introduction to Social Psychology toward the Human-Centered Systems requirement. At most one of these 200-level prerequisites can be counted.
b. Only one of OR&IE 435 and ECON 368 can be taken for ISST credit. Only one of AEM 322 and H ADM 574 can be taken for ISST credit.
c. In addition to the first-year writing seminars, a technical writing course must be taken as an engineering distribution, liberal studies, approved elective, or Major course. ENGRC 335 is recommended as a technical writing course for ISST Majors.
d. CS 211 is required by the Major and it is recommended that this course be counted as an engineering distribution course
e. The six courses must be chosen from at least three of the following six groups: (1) Cultural Analysis (CA), (2) Historical Analysis (HA), (3) Literature and the Arts (LA), (4) Knowledge, Cognition, and Moral Reasoning (KCM), (5) Social and Behavioral Analysis (SBA), (6) Foreign Languages (not literature courses). At least two of the six courses must be at 200-level or higher.
f. Nine credits of Major-complementary courses are required to be outside of the INFO rubric. These include one of ECON 301 or 313; one of INFO 245, ILROB 175 or ENGRC 335; and one additional course that is not an INFO course and is listed in the ISST degree requirements web page (www.infosci.cornell.edu/ugrad/ISSTRequirements.htm).
This engineering check list is formatted to conform to the general specifications of the College of Engineering. We strongly recommend that you visit 303 Upson Hall for an official ISST Major check list. This information can also be obtained by visiting the Information Science web site (www.infosci.cornell.edu/ugrad/).
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