Spring 2018 - CMPT 354 E100

Database Systems I (3)

Class Number: 10865

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Thu, 5:30–8:20 p.m.
    Vancouver

  • Exam Times + Location:

    Apr 12, 2018
    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:

Introduction to the principles, concepts, approaches, tools, and methodology of database design and implementation, and Database Management Systems (DBMS). Covers theoretical foundations and practical languages for relational databases, their implementation, use and optimization.

Topics

  • Introduction to Data Modelling and database management systems.
  • Relational data model, relational algebra.
  • Query language: SQL.
  • Relational calculus, logical foundations.
  • Views, 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).

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

REQUIRED READING:

Database Management Systems,
Raghu Ramakrishnan and Johannes Gehrke,
McGraw-Hill, 2003
ISBN: 9780072465631

A First Course in Database Systems
Ullman, Widom
Pearson, 2007
3rd Edition
ISBN: 9780136006374

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/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