In Progress
Please note that this Unit Profile is still in progress. The content below is subject to change.Overview
This unit focuses on the foundational concepts of data science. Digital data is growing at a very fast rate with data being the underlying driver of the knowledge economy. This unit will prepare you with foundational knowledge and practical skills about data collection, representation, storage, retrieval, management, analysis, and visualisation through the exploration of data-related challenges. You will also learn the impact of big data and business analytics on business performance to cater for the development of useful information and knowledge in an attempt to achieve data-driven decision making.
Details
Pre-requisites or Co-requisites
Prerequisite: COIT11226 Systems Analysis Co-requisite: COIT11237 Database Design & Implementation
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).
Offerings For Term 3 - 2024
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).
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.
Class Timetable
Assessment Overview
Assessment Grading
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.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
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.
Feedback from Unit Evaluation
Practice materials on the R language were insufficient.
Provide additional materials on R langauge.
Feedback from Unit Evaluation
Big data lecture materials (i.e., Hadoop) were not updated.
Review the lecture slides on big data, and revamp the lecture materials.
- Discuss and demonstrate data science foundational concepts
- Investigate and evaluate applications for data storage, management, retrieval, and analysis and visualisation
- Apply knowledge to process data for data driven decision making
- Analyse and generate solutions to solve data-related challenges
- Demonstrate the knowledge required in using data science skills to solve business problems.
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:
Data Management (DATM)
Business Analysis (BUAN)
Data Analysis (DTAN)
IT Operation (ITOP)
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks | Learning Outcomes | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1 - Practical Assessment - 40% | |||||
2 - Written Assessment - 40% | |||||
3 - Presentation - 20% |
Alignment of Graduate Attributes to Learning Outcomes
Graduate Attributes | Learning Outcomes | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1 - Communication | |||||
2 - Problem Solving | |||||
3 - Critical Thinking | |||||
4 - Information Literacy | |||||
5 - Team Work | |||||
6 - Information Technology Competence | |||||
7 - Cross Cultural Competence | |||||
8 - Ethical practice | |||||
9 - Social Innovation | |||||
10 - Aboriginal and Torres Strait Islander Cultures |
Alignment of Assessment Tasks to Graduate Attributes
Assessment Tasks | Graduate Attributes | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1 - Practical Assessment - 40% | ||||||||||
2 - Written Assessment - 40% | ||||||||||
3 - Presentation - 20% |