On successful completion of the course, the students should:
Be able to analyze and explain simple scripts and programs.
Master key concepts and terms related to programming.
Be able to automate / augment tasks by writing scripts or programs.
Be able to search for errors and correct errors in one's own and others' source code.
Be able to find and utilize third-party libraries and APIs.
Know how to write good and clean code.
Be able to account for an iterative work process.
With a focus on automation and game development, the course will cover a basic introduction to programming principles, problem solving and processes. The course will emphasize an iterative work process with the goal of writing clean and error-free code.
The student will gain knowledge of key principles such as variables, data types, control structures, functions, and other useful data structures.
The course is a combination of lectures, discussions, and lab assignments.
The expected scope of work for the average student is 135 hours.
Assessment methods and criteria
Portfolio examination. Graded assessment.
The study program manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.