Undergraduate Course: Informatics 1 - Computation and Logic (INFR08012)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 1 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The goal of this strand is to introduce the notions of computation and specification using finite-state systems and propositional logic. Finite state machines provide a simple model of computation that is widely used, has an interesting meta-theory and has immediate application in a range of situations. They are used as basic computational models across the whole of Informatics and at the same time are used successfully in many widely used applications and components. Propositional logic, similarly is the first step in understanding logic which is an essential element of the specification of Informatics systems and their properties. |
| Course description |
Finite-state systems as a basic model of computation: deterministic and non-deterministic automata; transducers; acceptors; structured design of finite state machines. Propositional logic: truth tables; natural deduction; resolution; elementary temporal logic.
Relevant QAA Computing Curriculum Sections: computer based systems, theoretical computing
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | Students MUST also take:
Informatics 1 - Functional Programming (INFR08013)
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| Prohibited Combinations | |
Other requirements | SCE H-grade Mathematics or equivalent is desirable. |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
66 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Formative assessment will be used to provide feedback and guidance to students and will take the form of quizzes, exercise sheets, practical exercises and coursework assignments, covering areas from across the syllabus.
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| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 2:00 | | | Resit Exam Diet (August) | | 2:00 | |
Learning Outcomes
1 - Design a small finite-state system to describe, control or realise some behaviour.
2 - Evaluate the quality of such designs using standard engineering approaches.
3 - Apply the algebra of finite automata to design systems and to solve simple problems on creating acceptors for particular languages.
4 - Describe simple problems using propositional logic.
5 - For a given formula in propositional logic, draw a truth table for that formula and hence deduce whether that formula is true or not.
6 - Apply a system of proof rules to prove simple propositional theorems.
7 - Describe the range of systems to which finite-state systems and propositional logic are applicable and be able to use the meta theory to demonstrate the limitations of these approaches in concrete situations.
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Contacts
| Course organiser | Prof Mike Fourman
Tel: (0131 6)51 5615
Email: Michael.Fourman@ed.ac.uk |
Course secretary | Mr Gregor Hall
Tel: (0131 6)50 5194
Email: ghall3@exseed.ed.ac.uk |
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