Algorithmic Foundations 2 COMPSCI2003
- Academic Session: 2026-27
- School: School of Computing Science
- Credits: 10
- Level: Level 2 (SCQF level 8)
- Typically Offered: Semester 1
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
To introduce the foundational mathematics needed for Computing Science; To make students proficient in their use; To show how they can be applied to advantage in understanding computational phenomena.
Timetable
Two 1-hour lectures per week; nine one-hour Tutorials held over the course of the semester.
Requirements of Entry
Entry to Level 2 Computing Science is guaranteed to students who achieve a GPA of B3 or better in their level 1 courses at the first sitting. All others would be at the discretion of the School.
All grades for Computing Science courses must be at D3 or better at either attempt.
Excluded Courses
None
Co-requisites
None
Assessment
1.5 hour examination (80%); plus assessed coursework (20%) and in-class quizzes 5%
Main Assessment In: December
Course Aims
To introduce the foundational mathematics needed for Computing Science; To make students proficient in their use; To show how they can be applied to advantage in understanding computational phenomena.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. translate simple English sentences into the notation of predicate logic, set theory and relational algebra;
2. use predicate logic, set theory, and relational algebra to write assertions;
3. use laws to prove assertions in predicate logic, set theory, and relational algebra;
4. demonstrate an understanding of inductively-generated structures and proofs by induction;
5. deploy the basic concepts of combinatorics;
6. understand the basic principles of discrete probability theory and apply them to simple problems.