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Principles of Information and Data Management


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Describing and querying various forms of information such as structured data in relational databases, unstructured text (IR), semi-structured data (XML, web), deductive knowledge. Conceptual modeling and schema design. Basics of database management system services (transactions, reliability, security, optimization). Advanced topics: finding patterns in data, information mapping and integration. The course focuses on a user's perspective, rather than how one implements DBMS.

Credits: 4

Prerequisites: 01:198:112; 01:198:205 or 14:332:312.

Please note that courses for which a student has received a grade of D cannot be used to satisfy prerequisite requirements.

Semesters Offered:

Spring, summer and fall

Expected Work:

Homework and programming assignments; project


Midterm exam and final exam

Department Learning Goals:

Computer Science majors ...
  • will be prepared to contribute to a rapidly changing field by acquiring a thorough grounding in the core principles and foundations of computer science (e.g., techniques of program design, creation, and testing; key aspects of computer hardware; algorithmic principles).
  • will acquire a deeper understanding on (elective) topics of more specialized interest, and be able to critically review, assess, and communicate current developments in the field.
  • will be prepared for the next step in their careers, for example, by having done a research project (for those headed to graduate school), a programming project (for those going into the software industry), or some sort of business plan (for those going into startups).

How to request an SP number if this course is full:

† - Can be taken for graduate credit.

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