ITI9136 · Introduction to Python programming

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

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per teaching period typically comprising a mixture of scheduled online, live streamed 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 six hours of scheduled activities per week and 18 hours of self-study time including a two optional help desk session per week. Scheduled activities may include a combination of teacher directed learning and online engagement.

Student experience, not official rules. Nothing here changes what the Handbook says.