FIT9136 Algorithms and programming foundations in Python
Faculty of Information Technology
FIT9136 Algorithms and programming foundations in Python is a level 9, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2024 in Summer A, Semester 1 and Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 14 units, leading on to 28 units in all.
- Credit points
- 6
- Offered in 2024
- Summer A, Semester 1, Semester 2
- Clayton, Malaysia
- Assessment
- No exam
- 8 tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before FIT9136
Prohibitions
You can't enrol if you have passed any of these.
After FIT9136
14 units list FIT9136 as a prerequisite or corequisite.
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Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces the Python programming and the basics of data structure and algorithms including their design, analysis and implementation in Python.
You will experience working with Python implementation of data structures and algorithms widely used in modern programming language to solve simple problems. Topics covered in this unit are the programming basics including IOs, control structures, and concepts of object-oriented programming; data structures and algorithms including lists, stacks, queues, trees, recursion and searching/sorting algorithms.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Summer semester A | Clayton | On campus |
| First semester | Clayton | Flexible |
| First semester | Malaysia | Evening |
| Second semester | Clayton | Flexible |
| Second semester | Malaysia | Evening |
Assessment
- Assignment 1 ProjectOther25%
- Assignment 1 In-class testOther10%
- Assignment 2 ProjectOther30%
- Assignment 2 In-class testOther10%
- Assignment 3 ProjectOther15%
- Assignment 3 In-class testOther10%
- Assignment 1 projectOther20%
- Assignment 3 projectOther20%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply best practice Python programming constructs for solving computational problems;
- 2
Restructure a computational program into manageable units of modules and classes using the object-oriented methodology;
- 3
Demonstrate Input/Output strategies in a Python application and apply appropriate testing and exception handling techniques;
- 4
Investigate useful Python packages for scientific computing and data analysis;
- 5
Experiment with data manipulation, analysis, and visualisation technique to formulate business insight.
Workload and teaching
- Workshops24 hours
- Applied sessions24 hours
- Teaching approachActive learning
This unit has a requirement of 1-2 hours per week of asynchronous learning.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Where it fits
FIT9136 is part of 3 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Dr Buser Say
- Mr Saksham Nagpal
- Dr Pierre Le Bodic
- Unit Coordinators
- Trang Vu
- Dr Ong Huey Fang
Common questions
What are the prerequisites for FIT9136?
FIT9136 has no prerequisites.
What can I take after FIT9136?
FIT9136 is a prerequisite or corequisite for 14 units, including BFF5555, EPM5032, FIT5003, FIT5037, FIT5047 and FIT5136. Those lead on to 28 units in all.
When is FIT9136 offered?
In 2024, FIT9136 runs in Summer A, Semester 1 and Semester 2 at Clayton and Malaysia.
How much work is FIT9136?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT9136 have an exam?
No. FIT9136 has 8 assessment tasks and no exam.
Which majors and minors include FIT9136?
FIT9136 is part of Atmospheric science, Data analytics for business and Earth science.