EECS 225 Advanced Data Engineering (2012-2013)

EECS 225 Advanced Data Engineering

(Not required for any major.)
Catalog Data:

EECS 225 Advanced Data Engineering (Credit Units: 3) Advance data models, data analysis, intelligence and integration, distributed database management systems, parallel databases, multimedia and visual databased, Web database management, advanced database applications. Prerequisite: EECS116, Computer Science 122A . (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-007352332.

Recommended Textbook:

Research papers

Phillip C.-Y. Sheu
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic

Student should have knowledge of the relational data model, SQL and basic database management functions.

Lecture Topics:
  • Review of Relational Database and SQL
  • Object-Oriented and Object-Relational Data Models
  • Advanced Querying
  • OLAP and Data Mining
  • XML
  • Information Retrieval
  • Semantic Web Services
  • Enterprise Information Integration (EII)
  • Vertical Applications
  • Performance Issues especially Query Optimization
Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:


Laboratory Projects:


Professional Component


Design Content Description


Laboratory Portion:
Grading Criteria:
  • Homework assignments: 15%
  • Midterm exam: 30%
  • Final exam: 40%
  • Term Project: 15%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

February 6, 2012
Senate Approved:
February 16, 2006
Approved Effective:
2006 Fall Qtr