COIS13013 - Business Intelligence

General Information

Unit Synopsis

The application of business intelligence and analytics have transformed the way in which organisations operate. Through the use of business intelligence and analytics tools, organisations are able to better understand how their businesses are performing, make well-informed decisions that improve business performance and create new strategic opportunities for growth. This unit equips you with the knowledge of various business intelligence concepts, tools and analytical techniques that organisations use for improving their decision making and to achieve competitive advantage. You will learn about the role of various information systems (Management Support Systems, Decision Support Systems, Knowledge Based Systems, Group Support Systems) and how they are integrated at the enterprise level to support decision making. In this unit, you will specifically learn about data mining, data virtualisation, text and web analytics and use a data mining tool to classify and analyse data.

Details

Level Undergraduate
Unit Level 3
Credit Points 6
Student Contribution Band 2
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Pre-requisite: COIT11226

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2019

Term 1 - 2019 Profile
Brisbane
Melbourne
Online
Rockhampton
Sydney

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Online Quiz(zes) 15%
2. Written Assessment 40%
3. Presentation and Written Assessment 45%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University’s Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 1 - 2018 : The overall satisfaction for students in the last offering of this course was 4.5 (on a 5 point Likert scale), based on a 49.37% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Unit evaluation
Feedback
There should be a group activity in the unit.
Recommendation
Group activities on DSS software application will be included in tutorial classes.
Action Taken
Sufficient guidance has been provided for DSS software application and group discussion on how to use this software has been done in tutorial classes.
Source: Unit evaluation
Feedback
Individual presentation assessment should be made a group based assessment.
Recommendation
The description of the presentation assessment will be rewritten. Students will be given the choice to present either in groups or individually.
Action Taken
The presentation assessment has been rewritten for the on-campus students and distance-learning students. On-campus students were organised in groups to present their interesting topics of BI, while distance-learning students were suggested to record videos of their presentations.
Source: Students
Feedback
Tutorial videos on how to install and use the software Weka should be provided.
Recommendation
Add tutorial videos to guide students on how to install the software Weka and provide some examples of how to use Weka.
Action Taken
Nil.
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Apply the principles of decision theory to interpret the needs of decision makers
  2. Analyse the needs of computerised support for managerial decision making and business performance reporting
  3. Evaluate the roles, trends and impacts of various business intelligence and analytics tools in organisations
  4. Analyse the technological architecture required for building business intelligence systems in organisations
  5. Evaluate the importance of data analysis, data processing and visualisation
  6. Apply business intelligence and analytics software tools to solve real world problems and interpret results.

Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is in use in over 100 countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles.

ACS members can use the tool MySFIA to build a skills profile at https://www.acs.org.au/professionalrecognition/mysfia-b2c.html

This unit contributes to the following workplace skills as defined by SFIA. The SFIA code is included:

  • Analytics (INAN)
  • Business Analysis (BUAN)
  • Data Analysis (DTAN)

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6
1 - Online Quiz(zes)
2 - Written Assessment
3 - Presentation and Written Assessment
Alignment of Graduate Attributes to Learning Outcomes
Introductory Level
Intermediate Level
Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
Alignment of Assessment Tasks to Graduate Attributes
Introductory Level
Intermediate Level
Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9
2 - Written Assessment
3 - Presentation and Written Assessment
1 - Online Quiz(zes)