Postgraduate study

Postgraduate taught 

Software Development (Conversion) MSc

Programming COMPSCI4039

  • Academic Session: 2026-27
  • School: School of Computing Science
  • Credits: 20
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

■ To provide a firm foundation in skills and key concepts essential for programming fundamentally in Python which is the main language used in the programme, while introducing also to Java syntax.

■ To provide a thorough introduction to problem solving and Python programming, giving a basis for study in topics such as algorithms and data structures, object-oriented design, and human computer interaction.

■ To develop skills, required for implementing solutions to well-specified programming problems, which could then be transferred to other programming languages like Java.

Timetable

Three lectures, one tutorial and one lab session per week. Special timetable in week 1.

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Excluded Courses

None

Co-requisites

None

Assessment

Assessed exercise: 25%, Examination: 75%.

 

Main Assessment In: December

Course Aims

■ To provide a firm foundation in skills and key concepts essential for programming fundamentally in Python which is the main language used in the programme, while also introducing to Java syntax.

■ To provide a thorough introduction to problem solving and Python programming, giving a basis for study in topics such as algorithms and data structures, object-oriented design, and human computer interaction.

■ To develop skills, required for implementing solutions to well-specified programming problems, which could then be transferred to other programming languages like Java.

Intended Learning Outcomes of Course

By the end of the course students will be able to:

1. Demonstrate familiarity with the relevant programming environment;

2. Perform simple programming using primitive data types and objects;

3. Implement simple algorithms using repetition and conditional execution;

4. Develop well-structured programs in Python, employing suitable elementary algorithms and data structures as required;

5. Write maintainable, robust, reliable, and reusable code, together with concise and informative documentation;

6. Provide evidence of program correctness through thorough testing.

Minimum Requirement for Award of Credits

No exceptions