UC2PSD05 Professional Software Development
UC2PSD05 Professional Software Development
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyApplied Data Science
- ECTS05
- CampusKristiansand, OnlinePLUS - Oslo, Online
- Course LeaderRayne Reid
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
The course introduces software engineering principles and practices that are needed to develop professional quality software systems, including requirements elicitation and specification, system design, and testing. It will also introduce a number of tools to assist in the process of software design, development and deployment including UML and Git.
The student has knowledge of
| K1 | gathering system requirements. |
|---|---|
| K2 | importance of quality assurance and testing in the software development process. |
| K3 | approaches to managing software development in professional environments. |
The student gain skills in
| S1 | designing appropriate software solutions using UML. |
|---|---|
| S2 | designing appropriate test strategies for software. |
| S3 | critically evaluate software designs and development processes. |
| S4 | critically reflect on personal academic practice in the area of designing solutions to software-related problems. |
The student can demonstrate
| G1 | understanding the importance of professionalism and awareness of ethical issues for IT professionals. |
|---|---|
| G2 | critical reflection on professional and academic development, and development of a lifelong learning strategy as required by IT professionals. |
- 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, e.g., webcam, microphone, headphones.
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 12 |
Teacher-supported work | 24 |
Self-study | 89 |
This course has two (2) exams contributing towards the overall and final grade of the course.
All exams must be assessed as passed to receive the final Course Grade.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Online Exam | A-F | ||
Term Paper | A-F |