Undergraduate Course: Informatics 1 - Computation and Logic (INFR08012)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 8 (Year 1 Undergraduate) |
Credits | 10 |
| Home subject area | Informatics |
Other subject area | None |
| Course website |
http://course.inf.ed.ac.uk/inf1-cl |
Taught in Gaelic? | No |
| Course description | 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. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
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. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
46 )
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| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | | 2:00 | | | | Resit Exam Diet (August) | | 2:00 | | |
Summary of Intended 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. |
Assessment Information
Written Examination 100
Assessed Assignments 0
Oral Presentations 0
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.
|
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
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 |
| Transferable skills |
Not entered |
| Reading list |
To be confirmed |
| Study Abroad |
Not entered |
| Study Pattern |
Lectures 20
Tutorials 10
Timetabled Laboratories 0
Non-timetabled assessed assignments 0
Private Study/Other 70
Total 100 |
| Keywords | Not entered |
Contacts
| Course organiser | Mr Paul Anderson
Tel: (0131 6)51 3241
Email: dcspaul@inf.ed.ac.uk |
Course secretary | Miss Susan Cade
Tel: (0131 6)50 5194
Email: scade@exseed.ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 10 October 2013 4:35 am
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