Programming is at the heart of artificial intelligence (AI) and it’s impossible to understand AI without being a competent programmer. This paper will help you develop both fundamental programming skills and the skills needed to be an AI programmer using the most common AI programming language – Python.
About this paper
| Paper title | Programming for Artificial Intelligence |
|---|---|
| Subject | Artificial Intelligence |
| EFTS | 0.1667 |
| Points | 20 points |
| Teaching period(s) | Semester 2
(On campus)
1st Non standard period (9 November 2026 - 11 December 2026) (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,627.83 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Eligibility
Some programming experience preferred.
- Contact
- Teaching staff
- Paper Structure
Topics covered include: the fundamentals of programming, numpy, scipy, scikit-learn, tensorflow, some fundamental AI problems, ethics of AI programming.
- Textbooks
A coursebook will be supplied as a PDF.
- Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Communication, Critical thinking, Cultural understanding, Ethics, Information literacy
View more information about Otago's graduate attributes.- Learning Outcomes
Students who successfully complete the paper will:
- Understand fundamental concepts relating to computer programming
- Demonstrate the ability to write computer programs for artificial intelligence applications
- Develop an understanding of the needs of artificial intelligence programming including but not limited to: data input and output, data manipulation, data visualisation, matrices, vectors and arrays
- Make use of common artificial intelligence tools and libraries including but not limited to: numpy, scipy, scikit-learn, and tensorflow or similar
- Develop an understanding of ethical and best practice issues associated with collecting and storing data including indigenous data
- Assessment details
AIML 401 is 100% internally assessed. There are six mastery tests and two programming assignments.
Programming is at the heart of artificial intelligence (AI), and it's impossible to understand AI without being a competent programmer. This paper will help you develop both fundamental programming skills and the skills needed to be an AI programmer using the most common AI programming language - Python.
About this paper
| Paper title | Programming for Artificial Intelligence |
|---|---|
| Subject | Artificial Intelligence |
| EFTS | 0.1667 |
| Points | 20 points |
| Teaching period | Not offered in 2027 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Eligibility
Some programming experience preferred.
- Contact
- Teaching staff
- Paper Structure
Topics covered include: the fundamentals of programming, numpy, scipy, scikit-learn, tensorflow, some fundamental AI problems, ethics of AI programming.
- Textbooks
A coursebook will be supplied as a PDF.
- Graduate Attributes Emphasised
- Lifelong learning, Communication, Critical thinking, Cultural understanding, Ethics.
View more information about Otago's graduate attributes. - Learning Outcomes
Students who successfully complete the paper will:
- Understand fundamental concepts relating to computer programming
- Demonstrate the ability to write computer programs for artificial intelligence applications
- Develop an understanding of the needs of artificial intelligence programming, including but not limited to: data input and output, data manipulation, data visualisation, matrices, vectors and arrays
- Make use of common artificial intelligence tools and libraries, including but not limited to: numpy, scipy, scikit-learn and tensorflow or similar
- Develop an understanding of ethical and best practice issues associated with collecting and storing data, including indigenous data
- Assessment details
AIML 401 is 100% internally assessed. There are six mastery tests and two programming assignments.