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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Informatics 1 - Introduction to Computation (INFR08025)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 8 (Year 1 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
Summary**This 20 credit course replaces the two 10 credit courses - 'Informatics 1 - Functional Programming INFR08013' and 'Informatics 1 - Computation and Logic INFR08012' from 2018/19**.

An introduction to concepts of programming, using a functional programming language, and to concepts of computation and specification using finite-state systems and propositional logic. These provide examples of the logical ideas of syntax and semantics and the computational ideas of structure and behaviour. Students learn to specify, model and solve small-scale problems succinctly and at an abstract level.
Course description An introduction to concepts of programming, using the Haskell functional programming language, and to concepts of computation and specification, using finite-state machines and propositional logic. The use of sets, functions and relations to describe models of logic and computation. Programming using functions and data structures including lists and trees; case analysis, recursion and higher-order functions. Finite-state machines as a basic model of computation: deterministic and non-deterministic automata; regular expressions; acceptors; structured design of finite state machines. Propositional logic: truth tables; satisfiability; deduction. Applications from different areas will be used to illustrate and motivate the material.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements SCE H-grade Mathematics or equivalent is desirable.
Information for Visiting Students
Pre-requisitesSCE H-grade Mathematics or equivalent is desirable.
High Demand Course? Yes
Course Delivery Information
Academic year 2018/19, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 40, Seminar/Tutorial Hours 20, Supervised Practical/Workshop/Studio Hours 20, Feedback/Feedforward Hours 4, Summative Assessment Hours 5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 107 )
Assessment (Further Info) Written Exam 95 %, Coursework 5 %, Practical Exam 0 %
Additional Information (Assessment) Examinations (Practical and Written): 95% (exact split to be confirmed)
Coursework: 5%

A practical final exam will assess programming in Haskell. A mid-semester written class exam will assess progress towards learning to program in Haskell. A written final exam will assess understanding of propositional logic and finite state machines. Students solutions to weekly unassessed formative exercises will be discussed in tutorial groups.

The material on advanced functional programming in Haskell and on introductory imperative programming will not be assessed. The latter material will be covered by unassessed formative exercises.

The marks from the practical and written final exams will be combined to give a single exam mark. Students are required to achieve a passing mark for the course as a whole; there is no requirement that they separately pass one or both of the exams.
Feedback 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. A summatively assessed class test will be held mid semester and will test students basic programming competence.
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Informatics 1 - Introduction to Computation2:00
Resit Exam Diet (August)Informatics 1 - Introduction to Computation2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Use sets, functions and relations to create a simple mathematical model of a real-world situation and use the syntax and semantics of propositional logic to express simple constraints.
  2. Solve simple programming tasks and define appropriate data types. Choose appropriate decompositions of given problems and compose corresponding functional programs from suitable function definitions, including their types.
  3. Read and write programs that use basic list processing functions, list comprehensions, case analysis, recursion, and higher-order functions. Understand algorithms for searching and sorting. Document, test and debug programs.
  4. Formalise simple propositional reasoning using various methods, including truth tables.
  5. Design finite state acceptors for particular languages. Use regular expressions to search for simple patterns. Understand the relationship between finite state acceptors and regular expressions.
Reading List
Thinking Functionally with Haskell, Cambridge University Press, 2014. Richard Bird
The Craft of Functional Programming, 3rd edition, Simon Thompson, Haskell, Addison Wesley, 2011
Programming in Haskell, Graham Hutton
The Haskell School of Expression, Paul Hudak
Learn You a Haskell for Great Good! Miran Lipovica. No Starch
Press, 2011.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsINF1A
Contacts
Course organiserProf Don Sannella
Tel: (0131 6)50 5184
Email: D.T.Sannella@ed.ac.uk
Course secretaryMr Rob Armitage
Tel: (0131 6)50 5194
Email: Rob.Armitage@ed.ac.uk
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