Fall 2019 - CMPT 354 E100
Database Systems I (3)
Class Number: 8988
Delivery Method: In Person
Overview
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Course Times + Location:
Th 5:30 PM – 8:20 PM
HCC 1700, Vancouver -
Exam Times + Location:
Dec 5, 2019
7:00 PM – 10:00 PM
HCC 1900, Vancouver
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Instructor:
Evgenia Ternovska
ter@sfu.ca
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Prerequisites:
CMPT 225, and (MACM 101 or (ENSC 251 and ENSC 252)).
Description
CALENDAR DESCRIPTION:
Logical representations of data records. Data models. Studies of some popular file and database systems. Document retrieval. Other related issues such as database administration, data dictionary and security.
COURSE DETAILS:
Almost all organizations maintain their data using a database management system (DBMS). This course provides an introduction to DBMS. We focus on the most widely used model: the relational data model. Students will become familiar with the design of database applications and use of databases. We study design tools, database modeling and query languages, including the Structured Query Language (SQL).
Topics
- Introduction to Data Modelling and database management systems.
- Relational data model, relational algebra.
- Query language: SQL.
- Relational calculus.
- Constraints, triggers.
- Functional dependencies. Normal forms.
- Design theory. The entity-relationship model, E-R diagrams.
- Transaction processing and concurrency control.
- Deductive databases: Datalog and recursive queries.
- Database access from applications: embedded SQL.
- Storage and indexing: B-trees, hashing.
- Query evaluation and optimization: join strategies, query plans.
- Incomplete data: null values and certain answers.
- Other topics may include some recent developments in databases, semistructured data, XML.
Grading
NOTES:
To be announced in the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
Materials
RECOMMENDED READING:
A First Course in Database Systems
- 3rd Edition
- Ullman, Widom
- Pearson
- 2007
ISBN: 9780136006374
- Database Management Systems
- 3rd Edition
- Raghu Ramakrishnan and Johannes Gehrke
- McGraw-Hill
- 2003
ISBN: 9780072465631
Registrar Notes:
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS