FIT1045 - Algorithms and programming fundamentals in python - 2018

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Information Technology

Chief examiner(s)

Dr Aamir Cheema

Unit guides



  • First semester 2018 (On-campus)
  • Second semester 2018 (On-campus)


  • First semester 2018 (On-campus)
  • Second semester 2018 (On-campus)
  • October intake 2018 (On-campus)


VCE Mathematics Methods or Specialist Mathematics units 3 & 4 with a study score of 25 or MTH1010.


FIT1029, FIT1053


This unit introduces programming fundamentals and the Python language to students. The unit provides a foundational understanding of program design and implementation of algorithms to solve simple problems. Fundamental programming control structures, built in and complex datatypes and mechanisms for modularity will be presented in Python.

Topics covered will include basic input and output, program control structures, basic data structures and modular program structure. Problem-solving strategies and techniques for algorithm development, iteration and recursion, algorithm efficiency and the limitations of algorithms will be introduced.


At the completion of this unit, students should be able to:

  1. recognise the relationship between a problem description and program design;
  2. implement problem solving strategies;
  3. demonstrate how basic data structures (list, graphs, trees, sets, tables) function;
  4. investigate different strategies for algorithm development and evaluate these to select an appropriate solution to a given problem;
  5. decompose problems into simpler problems;
  6. determine the complexity of simple algorithms;
  7. recognise the limitations of algorithms.


Examination (2 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • Two hours lectures
    • Two hours laboratories
    • Two hours tutorials
  2. Additional requirements (all students):
    • A minimum of 2-3 hours of personal study per one hour of lecture time in order to satisfy the reading, tute, prac and assignment expectations.

See also Unit timetable information

This unit applies to the following area(s) of study

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