12CSI

12 Computer Science (12CSI)

Course Description

Teacher in Charge: Vincent Brannigan.

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.

Recommended Prior Learning

Entry Requirement

10 credits from 11DIT or approval from TIC

Assessment Information

Possible 18 Credits
15 internal
3 external

Credit Information

You will be assessed in this course through all or a selection of the standards listed below.

This course is eligible for subject endorsement.

Total Credits Available: 18
Internal Assessed Credits: 0
External Assessed Credits: 18
Optional Credits Available: 0
Optional Internal Assessed Credits: 0
Optional External Assessed Credits: 0
Assessment
Description
Level
Internal or
External
Credits
L1 Literacy Credits
UE Literacy Credits
Numeracy Credits
A.S. 91891 v1
NZQA Info

Digital Technologies and Hangarau Matihiko 2.2 - Apply conventions to develop a design for a digital technologies outcome


Level: 2
Internal or External: Internal
Credits: 3
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0
Numeracy Credits: 0
A.S. 91896 v1
NZQA Info

Digital Technologies and Hangarau Matihiko 2.7 - Use advanced programming techniques to develop a computer program


Level: 2
Internal or External: Internal
Credits: 6
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0
Numeracy Credits: 0
A.S. 91897 v1
NZQA Info

Digital Technologies and Hangarau Matihiko 2.8 - Use advanced processes to develop a digital technologies outcome


Level: 2
Internal or External: Internal
Credits: 6
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0
Numeracy Credits: 0
A.S. 91898 v1
NZQA Info

Digital Technologies and Hangarau Matihiko 2.9 - Demonstrate understanding of a computer science concept


Level: 2
Internal or External: External
Credits: 3
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0
Numeracy Credits: 0
Credit Summary
Total Credits: 18
Total Level 1 Literacy Credits: 0
Total University Entrance Literacy Credits: 0
Total Numeracy Credits: 0