Fall 2019 - CMPT 354 E100

Database Systems I (3)

Class Number: 8988

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 3 – Dec 2, 2019: Thu, 5:30–8:20 p.m.
    Vancouver

  • Exam Times + Location:

    Dec 5, 2019
    Thu, 7:00–10:00 p.m.
    Vancouver

  • 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