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MA5851 - Data Science Master Class 1
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
1 |
Administered by: |
College of Science and Engineering |
Data Science is a field that is transforming society finding application in essentially
all domains from business, to science and healthcare. It is constantly evolving with
new techniques in mathematics, statistics, machine learning and computation/data manipulation
continually emerging to extract knowledge and value from data. The Data Science Master
Classes will bring in leaders in the field to report recent advances in data science
techniques and/or applications of data science.
Learning Outcomes
- apply data science skills, knowledge and techniques to solve problems in a particular
area of focus of the Master Class;
- understand and apply new data science skills, knowledge and techniques to solve problems
in data science;
- communicate effectively the results of the project both orally and in written form
at a career-ready level appropriate for the client.
Subject Assessment
- Written > Test/Quiz 1 - (10%) - Individual
- Written > Problem task - (30%) - Individual
- Written > Project plan - (30%) - Individual
- Written > Project report - (30%) - Individual.
Prerequisites: |
24CP OF POSTGRADUATE SUBJECTS |
Availabilities
|
Cairns,
Study Period 86,
Internal
|
Census Date 09-Nov-2023 |
Coordinator: |
Dr David Donald |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours tutorials
- assessment and self-directed study
|
Restrictions: |
Enrolment in this offering is restricted.
|
|
|
JCU Online,
Study Period 82,
External
|
Census Date 23-Mar-2023 |
Coordinator: |
Dr David Donald |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 65 hours was Other - Online resources including readings, screencasts, embedded quizzing
- assessment and self-directed study
|
Method of Delivery: |
Online - JCU |
Restrictions: |
Enrolment in this offering is restricted.
|
|
|
JCU Online,
Study Period 86,
External
|
Census Date 09-Nov-2023 |
Coordinator: |
Dr David Donald |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 65 hours was Other - Online resources including readings, screencasts, embedded quizzing
- 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.