Course Catalogue

Computing Science 2 UESTCHN2013

  • Academic Session: 2026-27
  • School: School of Engineering
  • Credits: 10
  • Level: Level 2 (SCQF level 8)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

This course assumes core computational thinking skills and is designed to be a natural follow-on from the CS1CT course for those who decide they wish to continue their study of Computing Science. The course develops students' ability to reason about elements of the software development process, including for example, complexity of algorithms, rigorous testing techniques and problem solving methodologies.

Timetable

TBC

Requirements of Entry

None

Excluded Courses

None

Co-requisites

None

Assessment

In-course assignment (40%)

Exam (60%)

Main Assessment In: December

Course Aims

This course aims to develop in students the core computational thinking skills that are required to be able to understand, reason about, and manipulate the computational systems surrounding us, both natural and artificial.

Intended Learning Outcomes of Course

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

1. Produce top-level plans with refinements;

2. Translate well-structured plans into working programs;

3. Deploy testing strategies to identify and correct semantic errors in programs;

4. Analyse programs with a view to assessing their complexity;

5. Augment programs with error and event handling capabilities;

6. Develop user-defined data structures as part of the solution to problems;

7. Incorporate advanced techniques in solutions to problems, e.g. recursion;

8. Identify a number of standard algorithms, e.g. sorting and searching, and incorporate them effectively in solutions to problems;

9. Communicate their understanding of problems and their solutions clearly.

Minimum Requirement for Award of Credits

No exceptions