UC1ICT05 ICT Fundamentals
UC1ICT05 ICT Fundamentals
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyApplied Data Science
- ECTS05
- CampusOnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course LeaderGerhard Steyn
- Applied Data Science
- Cyber Security
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
This course aims to equip students with the foundational technical and digital working skills that underpin study and practice in computing. Students develop confidence and competence in operating the everyday tools of a domain-specific practitioner, from managing files and archives, to running and maintaining virtual machines, to installing and configuring core tooling, to processing and presenting data. Through a blend of guided theory and hands-on laboratory practice, students build a reliable, repeatable working method and the self-efficacy needed to adopt unfamiliar technologies independently. The course also strengthens transferable skills in general computing relevant to their programmes of study.
The student has knowledge of
| K1 | fundamental digital and ICT concepts relevant to basic computing. |
|---|---|
| K2 | digital environments, operating systems, and virtualised systems used in technical work. |
| K3 | principles for the use, configuration, and maintenance of domain-related software. |
| K4 | methods for handling, processing, and presenting digital information and data. |
| K5 | fundamental methods for collecting, organising, processing, and presenting digital data. |
The student gain skills in
| S1 | use digital systems and technical environments effectively. |
|---|---|
| S2 | configure and maintain digital working environments for practical tasks and learning activities. |
| S3 | apply command-line and system-level functionality in technical problem solving. |
| S4 | collect, organise, process, and present digital information and data. |
| S5 | find, evaluate, and communicate technical information using appropriate sources and documentation practices. |
The student can demonstrate
| G1 | adapt to and learn unfamiliar technologies and technical environments independently. |
|---|---|
| G2 | the ability to document and communicate technical processes, problems, and outcomes clearly. |
| G3 | foundational practical computing competence that can be transferred to further study in different computing disciplines. |
- Digital Literacy and Professional Working Practices
- Operating Systems, File Management and Virtualisation
- Software Installation, Configuration and Troubleshooting
- Data Management and Basic Data Processing
- 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.
- 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).
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 18 Hour(s) |
Teacher-supported work | 24 Hour(s) |
Self-study | 83 Hour(s) |
This course has two (2) exams contributing towards the overall and final grade of the course.
The course Portfolio contributes 30% and the final Exam contributes 70% of the overall grade.
All 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 | Individual | |
Online Exam | A-F | Individual |