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Unit (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Python Programming Principles and Practice (ICT582)

Organisational Unit Information Technology, Mathematics and Statistics
Credit Points 3
Availability MURDOCH: S1-internal, S2-internal
OUA: S2-external
Teaching Timetables Murdoch S1
Murdoch S2
Description This unit is designed to introduce students to the basic concepts of constructing an algorithmic solution to a problem and implementing this in a programming language (i.e., Python) to facilitate execution on a computer. It does not cover general information technology concepts but may be suitable for those from other disciplines seeking a more technical and programming-focused background in IT.
This unit introduces key aspects of computer programming including problem solving using a high-level programming language, data manipulation and storage.
Unit Learning Outcomes Upon completion of this unit, students should be able to:
01. design and write correct and readable small programs to solve practical data processing problems;
02. analyse and debug computer programs;
03. establish some practical limitations on computer programs, including scaling (w.r.t. time and memory) and numeric precision (rounding errors) issues.
04. incorporate programming as the primary tool for problem solving.
Timetabled Learning Activities Lectures: 1 x 2 hours per week; Laboratories: 1 x 2 hours per week.
Unit Learning Experiences The approach to learning in this unit involves lectures that provide explanations of the theory and background to basic computer science concepts surrounding programming. These lectures are rich with examples, presented, where possible, interactively. These concepts are put into practice in weekly tutorials . These tutorials give students ample opportunity to develop those practical skills in both abstract problem solving and the expression of solutions within the constraints of syntactically defined language. Assignments represent the opportunity to solve a larger problem as part of a project and consider the broader context necessary when solving such problems.
Assessment The assessment consists of the tutorial work, assignment, and final exam. Students demonstrate their learning through laboratory work, problem-based assignment (involving problem solving, critical thinking, software design, implementation, testing and documentation) and an online final examination. The final grade for the unit will be reported as a letter grade and a mark. In order to pass the unit, students must have an aggregate score for the combined assessment of 50% or better.
Prerequisites Enrolment in a graduate IT course, or permission of the Academic Chair.
Notes Each student is expected to spend on average three hours per teaching week reading the lecture notes, books chapters and other recommended materials relevant to the topic covered in that week and spend a similar amount of time working on the laboratories for that week. In addition, each student is required to complete two assignments and sit the final examination.
Appears in these Courses/Majors:
see individual structures for context
Graduate Certificate in Information Technology (GradCertIT)
Graduate Certificate in Information Technology (OUA) (GradCertIT)
Graduate Diploma in Information Technology [New in 2020]
Master of Information Technology (MIT)
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.


Unit Coordinator
Dr Afaq Shah
Lecturer in Information Technology

Murdoch Campus
t: 9360 2801
e: Afaq.Shah@murdoch.edu.au
o: 245.1.008 - Science and Computing, Murdoch Campus
Unit Contacts

MURDOCH: S1-Internal
MURDOCH: S2-Internal
Dr Afaq Shah
Lecturer in Information Technology

Murdoch Campus
t: 9360 2801
e: Afaq.Shah@murdoch.edu.au
o: 245.1.008 - Science and Computing, Murdoch Campus

OUA: S2-External
No contacts found
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