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CP2403 - Information Processing and Visualisation
| Credit points: | 3 |
| Year: | 2022 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Science and Engineering |
Today's world is data and information intensive, but knowledge poor. In this subject students explore the computing skills required to enable basic understanding of data, information processing, and data visualisation. Students use analytic tools to model, analyse, evaluate and design business processes. Relevant themes covered include the information generation, representation, structuring, organisation, storage, retrieval, navigation, human factors in information systems, and use of information. Students also gain hands-on experience in processes and procedures in information processing and management.
Learning Outcomes
- describe information processing and management processes and techniques for IT and business context;
- appraise data and information analytics concepts and procedures;
- analyse data and interpret results to generate information for decision making;
- compare and contrast information processing tools and systems.
Subject Assessment
- Written > Test/Quiz 1 - (30%) - Individual
- Software Development - (40%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (30%) - Individual.
Special Assessment Requirements
Practical attendance is mandatory in this subject. A student who fails to attend and demonstrate their attempt to at least 70% of practical, must meet with the Associate Dean of Learning and Teaching and provide evidence as to why they should be permitted to sit the final exam or submit the final assessment task.
| Prerequisites: | MINIMUM OF 12 CREDIT POINTS OF SUBJECTS |
| Inadmissible Subject Combinations: |
CP3413 |
Availabilities |
|
| Cairns, Study Period 1, Internal | |
| Census Date 24-Mar-2022 | |
| Coordinator: | Dr Iti Chaturvedi |
| Lecturers: | Professor Ickjai Lee, Dr Kyungmi Joanne Lee. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 1, Internal | |
| Census Date 10-Mar-2022 | |
| Coordinator: | Dr Iti Chaturvedi |
| Lecturers: | Dr Paul Darwen, Dr Iti Chaturvedi. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 3, Internal | |
| Census Date 06-Oct-2022 | |
| Coord/Lect: | Dr Iti Chaturvedi. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Study Period 52, Internal | |
| Census Date 04-Aug-2022 | |
| Coordinator: | Dr Iti Chaturvedi |
| Lecturer: | Dr KumMeng Lum. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Study Period 53, Internal | |
| Census Date 01-Dec-2022 | |
| Coord/Lect: | Dr Iti Chaturvedi. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 1, Internal | |
| Census Date 24-Mar-2022 | |
| Coordinator: | Dr Iti Chaturvedi |
| Lecturers: | Professor Ickjai Lee, Dr Kyungmi Joanne Lee, Dr Iti Chaturvedi. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Study Period 1, External | |
| Census Date 24-Mar-2022 | |
| Coordinator: | Dr Iti Chaturvedi |
| Lecturers: | Professor Ickjai Lee, Dr Kyungmi Joanne Lee, Dr Iti Chaturvedi. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.