Hagley Community College Hagley Community College

12 Computer Science (12CSI)

12CSI
Course Description

Teacher in Charge: Vincent Brannigan.

Recommended Prior Learning

Entry Requirement

10 credits from 11DIT or approval from TIC

12 Computer Science

Become a problem solver and innovator. Computer science enables cutting edge problem solving in a huge range of fields. Students who complete the core achievement standards can also take part in our robotics or advanced programming programs.

Course Components

  • Advanced programming techniques in the Python programming language.
  • Students will iteratively develop their own software project.
  • Learn about key concepts in computer science such as encryption, error control, complexity and tractability.

Course Overview

Term 1
Revision of Computer programming using Python.

Term 2
Advanced Programming and Development Using Python. 
Students will design and develop a 2d maze game. The game will include advanced programming techniques.
uses variables storing at least two types of data (e.g. numeric, text, Boolean)
uses sequence, selection and iteration control structures
takes input from a user, sensors, or other external source
produces output.
uses two or more advanced programming techniques.
Examples of advanced programming techniques include:
modifying data stored in collections (e.g. lists, arrays, dictionaries)
storing multidimensional data in collections
creating methods, functions, or procedures that use parameters and/or return values
responding to events generated by a graphical user interface (GUI)
using non-trivial string manipulation
using additional non-core libraries.
The program will be Designed this term and completed in term 2.
Te design will be assesed with AS 91891: Apply conventions to develop a design for a digital technologies outcome.

Term 3
Advanced Programming and Development Using Python
The programming project will be assessed with AS 91896: Use advanced programming techniques to develop a computer program.
and
AS 91887: Use advanced processes to develop a digital technologies outcome. By the end of this term.

Level 2, 6 credits, internally assessed.
Develop understanding of artificial intelligence. We will cover: machine learning, common issues, training, evaluation, Turing test relevance, adoption, policies, the use of artificial intelligence for shopping (e.g. self-checkouts), AI hallucinations, and recent developments in large language models such as ChatGPT and Google Bard. Assessed with AS 91898 in term 4

Term 4
AS 91898: Demonstrate understanding of a computer science concept. Comon assessment task.

Learning Areas:

Practical Design


Assessment Information

Possible 18 Credits
15 internal
3 external