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 Credits15 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.
External
NZQA Info
Digital Technologies and Hangarau Matihiko 2.2 - Apply conventions to develop a design for a digital technologies outcome
NZQA Info
Digital Technologies and Hangarau Matihiko 2.7 - Use advanced programming techniques to develop a computer program
NZQA Info
Digital Technologies and Hangarau Matihiko 2.8 - Use advanced processes to develop a digital technologies outcome
NZQA Info
Digital Technologies and Hangarau Matihiko 2.9 - Demonstrate understanding of a computer science concept