UnitLevel 9Postgraduate

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 2022 in Semester 1 and Semester 2 at Clayton and Monash Online. It has no prerequisites and unlocks 12 units, leading on to 26 units in all.

Credit points
6
Offered in 2022
Semester 1, Semester 2
Clayton, Monash Online
Assessment
No exam
7 tasks
Workload
144 hours
per semester

This is the 2022 handbook entry. See the 2027 entry.

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Requisites

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 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 2022

Teaching periodCampusMode
First semesterClaytonOn campus
Second semesterClaytonOn campus
Teaching period 2Monash OnlineOnline

Assessment

  • Assignment 1Assignment
    15%
  • Assignment 2Assignment
    30%
  • Moodle QuizOther
    20%
  • Assignment 3Assignment
    35%
  • Assessment 1Other
    25%
  • Assessment 2Other
    35%
  • Assessment 3Other
    40%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Apply best practice Python programming constructs for solving computational problems;

  2. 2

    Restructure a computational program into manageable units of modules and classes using the object-oriented methodology;

  3. 3

    Demonstrate Input/Output strategies in a Python application and apply appropriate testing and exception handling techniques;

  4. 4

    Investigate useful Python packages for scientific computing and data analysis;

  5. 5

    Experiment with data manipulation, analysis, and visualisation technique to formulate business insight.

Workload and teaching

  • Workshops12 hours
  • 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 online and face to face learning activities and independent study. Independent study includes associated reading and self-directed online study in preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. 

Contacts

Chief Examiners
Shirin Ghaffarian Maghool

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 12 units, including FIT5037, FIT5047, FIT5136, FIT5145, FIT5196 and FIT5197. Those lead on to 26 units in all.

When is FIT9136 offered?

In 2022, FIT9136 runs in Semester 1 and Semester 2 at Clayton and Monash Online, with an online option.

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 7 assessment tasks and no exam.

More details

Credit points
6
Level
9
Study level
Postgraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available