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CP5805 - Programming and Data Analytics using Python
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
1 |
Administered by: |
College of Science and Engineering |
In this subject, students will learn problem-solving and coding skills to design algorithms
and develop solutions to data science and IT problems. Students will write programs
using Python and related data science libraries to perform tasks including data visualisation
and analysis.
Learning Outcomes
- apply problem-solving techniques to develop algorithms in the IT context;
- apply best-practice coding techniques to develop solutions;
- use programming libraries to solve data science problems.
Subject Assessment
- Performance/Practice/Product > Software development/creation - (70%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (30%) - Individual.
Prerequisites: |
6CP OF POSTGRADUATE SUBJECTS |
Availabilities
|
Cairns,
Study Period 83,
Internal
|
Census Date 18-May-2023 |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 65 hours online activity
- assessment and self-directed study
|
|
|
JCU Brisbane,
Trimester 3,
Internal
|
Census Date 05-Oct-2023 |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 65 hours online activity
- assessment and self-directed study
|
|
|
JCU Online,
Study Period 83,
External
|
Census Date 18-May-2023 |
Coordinator: |
Mr Lindsay Ward |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 65 hours online activity
- assessment and self-directed study
|
Method of Delivery: |
Online - JCU |
Restrictions: |
Enrolment in this offering is restricted.
|
|
|
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.