UC1PR110 Introduction to Programming

Start semesters

UC1PR110 Introduction to Programming

Course description
- NQF Level
  Bachelor's degree (Level 6 1. Cycle)
- Area of Study
  Computing
- Program of Study
  Computing 1. year
- ECTS
  10
- Campus
  Kristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course Leader
  Rayne Reid

Used in other programs

Applied Data Science
Cyber Security
Digital Assurance and Security Management
Digital Forensics and Incident Response

Introduction

Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.

Included in the following bachelor's degrees:

Applied Data Science
Cyber Security
Digital Assurance and Security Management
Digital Forensics
Digital Forensics and Incident Response

Course Aim(s)

This course aims to provide students with a programming foundation including both theoretical and practical elements. Students are provided knowledge to independently solve basic programming problems in a precise, specification-oriented, approach according to defined unit test standards. In addition, students are introduced to object orientation and selected third-party libraries.

Course Learning Outcomes

Knowledge

The student has knowledge of

K1	methods of problem decomposition.
K2	the use of software design techniques to describe a problem.
K3	the software development process and related methodologies.
K4	foundational programming concepts.
K5	foundational object-oriented concepts.

Skills

The student gain skills in

S1	the ability to abstract a problem.
S2	read, write, and interpret pseudo code and software designs.
S3	independently develop Python applications.
S4	write and read specification, as well as using specification as a step towards the fully implemented software application.

General Competence

The student can demonstrate

G1	a logical scientific approach to software development.
G2	basic programming concepts such as variables, program control, functions, input, output, and collections.
G3	object oriented concept such as classes, instances, and objects.
G4	ability to solve programming problems in a precise, specification-oriented, approach according to defined unit testing standards.

Course Topics

Introduction to Programming
Object Oriented Programming

Teaching Methods

Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
All activities require active student participation in their own learning.
Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.

Resources and Equipment

Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
Students working on their own laptop/computer are required to acquire appropriate communications software, a webcam, and headphones (or a similar alternative).

Prerequisite Knowledge

Refer to admission requirements.

Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

250 nominal hours.
Study workload applies to both Campus and Online students.

Activity	Duration
Teacher-led activity	24 Hour(s)
Teacher-supported work	48 Hour(s)
Self-study	178 Hour(s)

Work Requirements

There are no mandatory assignments in this course.

Assessment Strategy

This course has two (2) exams contributing towards the overall and final grade of the course.

The exams must be assessed as passed to receive the final Course Grade.

Form of assessment	Grading scale	Grouping	Duration of assessment
Portfolio of Work	A-F
Online Exam	A-F