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FIT3003 Business intelligence and data warehousing - Semester 2, 2015

Automation and the use of technological tools have resulted in the accumulation of vast volumes of data by modern business organisations. Data warehouses have been set up as repositories to store this data and improved techniques now result in the speedy collection and integration of such data. OLAP technology has resulted in the faster generation of reports and more flexible analysis based on the data repositories. This unit will explore the concepts of data warehousing and OLAP, covering the data processing technological requirements for data warehousing and OLAP and will provide hands on experience on designing data warehousing and OLAP systems.

Mode of Delivery

Clayton (Day)

Workload Requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 2 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Unit Relationships

Prerequisites

One of FIT1004, FIT2010, FIT1013, BUS1010, BUS3112, CSE2316, CSE3316

Chief Examiner

Campus Lecturer

Clayton

Associate Professor David Taniar

Tutors

Clayton

Dr Say Ying Lim

Agnes Haryanto

Your feedback to Us

Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through the Student Evaluation of Teaching and Units (SETU) survey. The University’s student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.

For more information on Monash’s educational strategy, see:

www.monash.edu.au/about/monash-directions/ and on student evaluations, see: www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html

Previous Student Evaluations of this Unit

Based on previous student and staff feedback the unit in this semester will focus on data warehousing, and exclude data mining.

If you wish to view how previous students rated this unit, please go to
https://emuapps.monash.edu.au/unitevaluations/index.jsp

Academic Overview

Learning Outcomes

At the completion of this unit, students should be able to:
  • design multi-dimensional databases and data warehouses;
  • use fact and dimensional modelling;
  • implement online analytical processing (OLAP) queries;
  • explain query optimisation and its impact on multi-dimensional design;
  • create business intelligence reports using data warehouses and OLAP.

Unit Schedule

Week Activities Assessment
0   No formal assessment or activities are undertaken in week 0
1 Data Warehousing: An Overview  
2 Data Warehousing: Modelling  
3 Data Warehousing: Modelling (Advanced)  
4 Data Warehousing: Bridge Tables  
5 Data Warehousing: Bridge Tables and Temporal  
6 Temporal Data Warehousing  
7 OLAP Queries Class Test: Monday 7-Sep-2015, 2-4pm
8 OLAP Query Processing  
9 OLAP Query Tuning  
10 OLAP Query Tuning  
11 Business Intelligence Advanced Topics Assignment due date: Friday 16-Oct-2015, 5pm
12 Business Intelligence Advanced Topics  
  SWOT VAC No formal assessment is undertaken in SWOT VAC
  Examination period LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/
academic/education/assessment/
assessment-in-coursework-policy.html

*Unit Schedule details will be maintained and communicated to you via your learning system.

Teaching Approach

Lecture and tutorials or problem classes
This teaching and learning approach provides facilitated learning, practical exploration and peer learning.

Assessment Summary

Examination (3 hours): 60%; In-semester assessment: 40%

Assessment Task Value Due Date
Class Test 10% Monday 7-Sep-2015, 2-4pm
Assignment 30% Friday 16-Oct-2015, 5pm
Examination 1 60% To be advised

Assessment Requirements

Assessment Policy

Assessment Tasks

Participation

  • Assessment task 1
    Title:
    Class Test
    Description:
    Data warehousing design test. This assessment relates to Learning Outcomes: 1 and 2.
    Weighting:
    10%
    Criteria for assessment:

    Students will be assessed on their understanding of data warehousing design. 

    Due date:
    Monday 7-Sep-2015, 2-4pm
  • Assessment task 2
    Title:
    Assignment
    Description:
    Students will develop a data warehouse design. A case study will be given as well. This assessment relates to Learning Outcomes: 1, 2, 3, 4, and 5.
    Weighting:
    30%
    Criteria for assessment:

    Students will be assessed on their understanding of data warehousing design, OLAP, and query processing.

    Due date:
    Friday 16-Oct-2015, 5pm

Examinations

  • Examination 1
    Weighting:
    60%
    Length:
    3 hours
    Type (open/closed book):
    Closed book
    Electronic devices allowed in the exam:
    None

Learning resources

Monash Library Unit Reading List (if applicable to the unit)
http://readinglists.lib.monash.edu/index.html

Feedback to you

Types of feedback you can expect to receive in this unit are:

  • Informal feedback on progress in labs/tutes
  • Graded assignments with comments
  • Solutions to tutes, labs and assignments

Extensions and penalties

Returning assignments

Assignment submission

It is a University requirement (http://www.policy.monash.edu/policy-bank/academic/education/conduct/student-academic-integrity-managing-plagiarism-collusion-procedures.html) for students to submit an assignment coversheet for each assessment item. Faculty Assignment coversheets can be found at http://www.infotech.monash.edu.au/resources/student/forms/. Please check with your Lecturer on the submission method for your assignment coversheet (e.g. attach a file to the online assignment submission, hand-in a hard copy, or use an electronic submission). Please note that it is your responsibility to retain copies of your assessments.

Online submission

If Electronic Submission has been approved for your unit, please submit your work via the learning system for this unit, which you can access via links in the my.monash portal.

Other Information

Policies

Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and to provide advice on how they might uphold them. You can find Monash’s Education Policies at: www.policy.monash.edu.au/policy-bank/academic/education/index.html

Faculty resources and policies

Important student resources including Faculty policies are located at http://intranet.monash.edu.au/infotech/resources/students/

Graduate Attributes Policy

Student Charter

Student services

Monash University Library

Disability Liaison Unit

Students who have a disability or medical condition are welcome to contact the Disability Liaison Unit to discuss academic support services. Disability Liaison Officers (DLOs) visit all Victorian campuses on a regular basis.