Courses / DescriptionsEECS 317: Data Management and Information Processing
Quarter OfferedFall : 1-1:50 MWF ; Trajcevski
Spring : 1-1:50 MWF ; Trajcevski
PrerequisitesEnrollment Requirements: Students must have completed EECS 211 or EECS 230 or EECS 111 to successfully enroll in this course. If you are a Graduate student and would like to enroll into this course please email the professor for a permission number.
Data models and database design. Modeling the real world: structures, constraints, and operations. The entity relationship to data modeling (including network hierarchical and object-oriented), emphasis on the relational model. Use of existing database systems for the implementation of information systems. Note: This course is only for IE/MFE students - CS/CIS students are not allowed to register for this course, and it does not carry credit towards the CS/CIS major.
- NOTE: This course does not count for credit for CS and CE majors (they are expected to take EECS 339) – however, it counts for other majors.
COURSE INSTRUCTOR: Prof. Goce Trajcevski
COURSE COORDINATOR: Prof. Goce Trajcevski
REQUIRED TEXTBOOK: Database Management Systems, R. Ramakhrishnan & J. Gehrke, McGraw Hill (3rd Edition)
RECOMMENDED TEXTBOOK: First Course in Database Systems, Jeffrey D. Ullman & Jennifer Widom, Prentice Hall, 2008
COURSE GOALS: This course is an introduction to the use of database systems for the implementation of information systems. In this course, you will become acquainted with various data models and see what goes into database design. The first half of the course will largely be devoted to understanding the data models that are commonly used in designing databases. The second half of the course will be spent putting these ideas together and demonstrate their usage when implementing a particular information system. This course will include homework assignments, projects (large-scale database design and SQL queries), in-class quizzes, a midterm exam, and a final exam.
MAIN COURSE TOPICS:
- The Worlds of Database Systems – Introduction and Motivation;
- The Entity/Relationship Data Model;
- The Relational Data Model;
- Quality of Database Design and Normal Forms;
- Relational Algebra, Relational Calculus and SQL;
- Other “Potpourri” topics: other data models; www and databases; indexing; transactions and OLAP;
HOMEWORK ASSIGNMENTS and PROJECTS: Approximate load is 1 assignment every 1.5 weeks.
- Homework assignments: 10%
- Projects: 25%
- Quizzes: 20%
- One midterm exam 20%
- One final exam 25%
COURSE OUTCOMES: When a student completes this course, s/he should be able to:
- Develop a formal Entity-Relationship (ER) Model for the information-management needs of a particular enterprise;
- Develop a Relational Database model/schema that will correctly represent the ER model and, furthermore, improve the quality of the design by applying the normalization techniques.
- Implement the above in an existing Database Management System and be able to pose various queries to a given database instance.
- Discuss various issues (e.g., Integrity Constraints and Views management) of interest with the programmers and Database Administrators in a more qualified manner than an “ordinary” domain-expert.