UC2PSD05 Professional Software Development

UC2PSD05 Professional Software Development

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Applied Data Science
    • ECTS
      05
    • Campus
      Kristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
    • Course Leader
      Rayne Reid
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
Course Aim(s)

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.

Course Learning Outcomes
Knowledge

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.
Skills

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.
General Competence

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.
Course Topics
  • System Analysis and Design
  • Professional Software Development Practice
  • Professionalism
Teaching Methods
  1. 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.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. 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
  1. 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
  2. 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).
  3. Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
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

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

ActivityDuration
Teacher-led activity
12
Teacher-supported work
24
Self-study
89
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.

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

Form of assessmentGrading scaleGroupingDuration of assessment
Online Exam
A-F
Term Paper
A-F