Course

Database II

Faculty
Commerce & Business Administration
Department
Computing Studies & Information Systems
Course Code
CSIS 3300
Credits
3.00
Semester Length
15 Weeks
Max Class Size
35
Method(s) Of Instruction
Lecture
Seminar
Typically Offered
To be determined

Overview

Course Description
This course will continue on from CSIS 2300 exploring advanced features of database systems. Topics covered will include indexing; query processing and optimization; transaction processing; denormalization; star schema; DW/OLAP cubes; security. NoSQL and MapReduce will also be covered.
Course Content
  1. Course overview and review of database fundamentals;
  2. Working with DB indexes;
  3. Introduction to query processing and optimization;
  4. Query optimization case studies;
  5. Working with DB transactions;
  6. Denormalizing a DB - why, when, and how;
  7. Introduction to dimensional modeling;
  8. Designing a star schema;
  9. Working with DW/OLAP cube;
  10. Introduction to noSQL databases;
  11. CRUD operations in noSQL;
  12. Analytics in noSQL (MapReduce);
  13. Securing a database system.
Learning Activities

Lecture, seminar and hands-on exercises in the lab.

Means of Assessment
   
Assignments/Project:    10% - 25%
Quizzes (Minimum 2) 10% - 20%
Midterm exam  20% - 30%
Final Exam * 30% - 40%
Total 100%

Some of the assessments may involve group work.

* Practical hands-on computer exam

In order to pass the course, students must, in addition to receiving an overall course grade of 50%, also achieve a grade of at least 50% on the combined weighted examination components (including quizzes, tests, exams).

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.

Learning Outcomes

At the end of this course, the successful student will be able to:

  1. Explain the purpose of indexing;
  2. List different types of indexes;
  3. Evaluate and explain when to use an index on a column;
  4. Describe how a SQL query is processed by the DB engine;
  5. Generate a more efficient query which reduces resource consumption but provides same data results;
  6. Explain situations when DB transactions should be used;
  7. Plan a set of queries which could be executed as part of a transaction - including both the success and failure scenarios;
  8. Describe why and when denormalization is beneficial for a DB system;
  9. Execute the denormalization process;
  10. Design a star schema;
  11. Use a DW/OLAP cube to extract information from data;
  12. Use a noSQL DB to perform CRUD (Create, Retrieve, Update, Delete) operations;
  13. Demonstrate application of MapReduce functions;
  14. Describe common DB security issues and their solutions.
Textbook Materials

Instructor compiled materials

and/or

other textbooks as approved by the department

Requisites

Prerequisites

Min grade C in CSIS 2300 

Corequisites

No corequisite courses.

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

(Current)

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca

Institution Transfer Details for CSIS 3300
Alexander College (ALEX) ALEX CPSC 2XX (3)
Athabasca University (AU) DOUG CSIS 2300 (3) & DOUG CSIS 3300 (3) = AU COMP 378 (3) & AU COMP 3XX (3)
Coquitlam College (COQU) No credit
Kwantlen Polytechnic University (KPU) KPU INFO 2XXX (3)
Langara College (LANG) LANG CSIS 2XXX (3)
Okanagan College (OC) No credit
Simon Fraser University (SFU) SFU CMPT 3XX (3)
Thompson Rivers University (TRU) TRU COMP 3610 (3)
Trinity Western University (TWU) No credit
University Canada West (UCW) No credit
University Canada West (UCW) UCW CPSC 3XX (3)
University of British Columbia - Vancouver (UBCV) UBCV CPSC_V 2nd (3)
University of Northern BC (UNBC) UNBC CPSC 3XX (3)
University of Victoria (UVIC) UVIC CSC 2XX (1.5)
Vancouver Community College (VCC) No credit
Vancouver Community College (VCC) VCC CSTP 2101 (3)

Course Offerings

Fall 2024

CRN Days Instructor Status
CRN
35023
 Mon
Instructor Last Name
Bhardwaj
Instructor First Name
Nikhil
Course Status
Open
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
New Westminster - North Bldg.
Room
N5111
Times:
Start Time
11:30
-
End Time
14:20
Section Notes

CSIS 3300 001 - This section is restricted to PBD & PDD Data Analytics, Computing Studies and Information Systems, and PDD Information & Communication Technology students.

CRN Days Instructor Status
CRN
35581
 Fri
Instructor Last Name
Bhardwaj
Instructor First Name
Nikhil
Course Status
Open
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
New Westminster - North Bldg.
Room
N6107
Times:
Start Time
9:30
-
End Time
12:20
Section Notes

CSIS 3300 002 - This section is restricted to PBD & PDD Data Analytics, Computing Studies and Information Systems, and PDD Information & Communication Technology students.

CRN Days Instructor Status
CRN
37631
 Sat
Instructor Last Name
TBA
Instructor First Name
(Faculty)
Course Status
Open
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
New Westminster - North Bldg.
Room
N5109
Times:
Start Time
9:00
-
End Time
11:50
Section Notes

CSIS 3300 070 - This section is restricted to PBD & PDD Data Analytics, Computing Studies and Information Systems, and PDD Information & Communication Technology students. This section is on Saturdays.