FIT9136 - Algorithms and programming foundations in Python

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Overview

This unit introduces the Python programming and the basics of data structure and algorithms including their design, analysis and implementation in Python. Students 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 … For more content click the Read More button below.

This unit introduces the Python programming and the basics of data structure and algorithms including their design, analysis and implementation in Python.

Students 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

MO-TP2-01-ONLINE-MO

MO-TP5-01-ONLINE-MO

OCT12-CLAYTON-ON-CAMPUS

S1-01-CLAYTON-ON-CAMPUS

S2-01-CLAYTON-ON-CAMPUS

Requisites

Prohibition

Contacts

Chief Examiner(s)

Shirin Ghaffarian Maghool

Teaching approach

Active learning

Assessment summary

For on-campus offerings: This unit has threshold mark hurdles. You must achieve at least 45% of the available marks in the final scheduled assessment, at least 45% in total for in-semester assessments, and an overall unit mark of 50% or more to be able to pass the unit. If you do not achieve the threshold mark, you will receive a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment

1 - Pre-lecture quizzes

2 - Lab activities

3 - Assignment 1

4 - Assignment 2

5 - Scheduled final assessment (2 hours and 10 minutes)

6 - Assessment 1

7 - Assessment 2

8 - Assessment 3

Scheduled and non-scheduled teaching activities

Laboratories

Lectures

Workshops

Workload requirements

Workload

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 activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.