Problem Solving in the Digital Age
Postgraduate
Postgraduate
COMP 5076
Postgraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
173281
4.5
Yes
UniSA STEM
To explore the pillars of computational thinking, how to develop and analyse algorithms, and how solutions can be implemented using the Python programming language.
Topics covered in this course include: introduction to problem solving; design thinking; decomposition and pattern recognition; data representation and abstraction; introduction to algorithms; common algorithms explained; your algorithm to pseudo-code; programming concepts; introduction to python; variables and conditional statements; lists and loops; functions and files.
Nil
Nil
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Seminar | 1 hour x 13 weeks | ||
Computer Practical | 2 hours x 13 weeks | ||
EXTERNAL, MAWSON LAKES, ONLINE | |||
External | N/A x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Report, Skills demonstration
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.