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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.
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 fallExpected Work:
Homework and programming assignments; projectExams:
Midterm exam and final examDepartment Learning Goals:
How to request an SP number if this course is full:
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).
† - Can be taken for graduate credit.