12DTP

NCEA Level 2 Digital Technologies - Software Engineering and Computer Science

Course Description

This is a Digital Technologies Course for students who wish to specialise in Software Engineering and Computer Science in areas such as programming, database, or web technologies. During the course of the year, students will design and develop a software engineering project through to a finished data driven web application.

Student learning will generally revolve around advanced skills in the following areas:

  • Functional programming (primarily using Python)
  • Problem solving using Python
  • Web development including web apps
  • Database design and implementation
  • Software Engineering skills including version control and testing

This course combines Digital Technologies disciplines and prepares students for an increasingly wide range of tertiary or employment pathways.

Students will be encouraged to compete in the range of programming competitions available throughout the year.

When people think of Computer Science they often just think of programming, but there are many more aspects to the field including interaction design, communications and networks, software design, computer security, information systems, big data, machine learning, graphics, operating systems, educational systems, artificial intelligence, and embedded systems (processors that are embedded in everything from mobile phones to cars). All of these areas are experiencing rapid growth both in Aotearoa New Zealand and internationally, and there is a strong demand for Computer Science.


Contributions and Equipment/Stationery

$10 Consumables. It is strongly recommended that students purchase a $5 Print Credit from the Student Office.Students may opt into the COSC 121 course run through the University of Canterbury in July

Recommended Prior Learning

There is a strong preference for students to have successfully completed a Level 1 Digital Technologies course. Alternatively students will be considered who can demonstrate their ability to code.

Pathway

Credit Information

This course is eligible for subject endorsement.

Total Credits Available: 23 credits.
Externally Assessed Credits: 3 credits.
Internally Assessed Credits: 20 credits.

Assessment
Description
Level
Internal or
External
Credits
L1 Literacy Credits
UE Literacy Credits
Numeracy Credits
A.S. 91892 v1
NZQA Info
Digital Technologies and Hangarau Matihiko 2.3 - Use advanced techniques to develop a database
4
4
4
4
Level: 2
Internal or External: Internal
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0
Numeracy Credits: 0
A.S. 91893 v1
NZQA Info
Digital Technologies and Hangarau Matihiko 2.4 - Use advanced techniques to develop a digital media outcome
4
4
4
4
4
Level: 2
Internal or External: Internal
Credits: 4
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
6
6
6
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
6
6
6
6
6
6
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
3
3
3
Level: 2
Internal or External: External
Credits: 3
Level 1 Literacy Credits: Y
University Entrance Literacy Credits: 0
Numeracy Credits: 0
Credit Summary
Total Credits: 23
Total Level 1 Literacy Credits: 3
Total University Entrance Literacy Credits: 0
TotalNumeracy Credits: 0

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