100-level

COSC101
Working in a Digital World
Description
This course provides students with an understanding of how the digital world is engineered, and exposes them to a range of tools commonly used by knowledge workers. Students will learn to critically evaluate systems from both a technical and human point of view.
Occurrences
Semester One 2024
Points
15 points
Restrictions
COSC110, DIGI101

DATA101
Introduction to Data Science
Description
Data Science is a fast growing, important, and globally in-demand discipline. This course is designed to introduce students to the fundamentals of this field. It will start by introducing key mathematical and statistical concepts and applications like exploratory data analysis, probability (with a focus on essential theories, discrete and continuous random variables), modelling, inference, and bivariate data. It will also address a range of more applied topics where data is important to making decisions, including data wrangling, data analysis, and data visualisation, supported by the statistical programming language R.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
1. MATH101, or 2. NCEA 14 Credits at level 3 Mathematics, or 3. Cambridge: D at A level or an A at AS level in Mathematics, or 4. IB: 4 at HL or 5 at SL in Mathematics, or 5. Approval of the Head of School based on alternative prior learning.
Restrictions

STAT101
Statistics 1
Description
An introduction to the ideas, techniques and applications of statistics and probability.
Occurrences
Semester One 2024
Semester Two 2024
Summer Nov 2024
Points
15 points
Restrictions
STAT111, STAT112, DIGI103

COSC121
Introduction to Computer Programming
Description
Computer programming in a high-level language with special emphasis on style and structure. This course is a prerequisite for COSC122 and higher level Computer Science, Computer Engineering and Software Engineering courses. It is an alternative to COSC131, with both courses teaching the fundamentals of computer programming using the Python language and can be taken by students who have no previous programming background. Topics include expressions, assignment, selection and iteration, structured data (lists, dictionaries, tuples, arrays), functional decomposition, file processing, and an introduction to object-oriented programming.
Occurrences
Semester One 2024
Semester Two 2024
Points
15 points
Restrictions