Undergraduate Course: Types and Semantics for Programming Languages (INFR11114)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | Type systems and semantics are mathematical tools for precisely describing aspects of programming language. A type system imposes constraints on legal programs in order to guarantee their safe execution, whilst a semantics specifies what a program will do when executed. This course gives an introduction to the main ideas and methods of type systems and semantics. This enables a deeper understanding of existing programming languages, as well as the ability to design and specify new language features.
**PLEASE NOTE - THIS COURSE HAS REPLACED Types and Semantics for Programming Languages (INFR10040)** |
Course description |
*Inductive definitions and proof by induction
*Untyped and simply-typed lambda calculus. Variable binding.
*Small step and big step semantics.
*Progress and preservation theorems.
*Products, sums, and list types.
*Reference types and exceptions.
*Subtyping. Subsumption and its understanding as inclusion or coercion.
*Principles of operational semantics.
*Key concepts of semantics: compositionality, adequacy, observational equivalence, full abstraction, and definability.
Relevant QAA Computing Curriculum Sections: Comparative Programming Languages, Compilers and Syntax Directed Tools, Programming Fundamentals, Theoretical Computing
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
It is RECOMMENDED that students have passed
Compiling Techniques (INFR10053) OR
Compiling Techniques (INFR10065)
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Co-requisites | It is RECOMMENDED that students also take
Advances in Programming Languages (INFR11101)
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Prohibited Combinations | |
Other requirements | This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.
Some mathematical aptitude is also expected. |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2018/19, 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 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
56 )
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
25 %,
Practical Exam
75 %
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Additional Information (Assessment) |
Short exercises each week.
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Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S1 (December) | Types and Semantics for Programming Languages; Programming Examination | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Read and understand the presentation of operational semantics and type systems via inference rules for lambda calculus, and be able to modify such a presentation to include a new language feature, such as state and exceptions.
- State and prove the theorems that relate big-step and small-step semantics, and the preservation and progress theorems that link operational semantics and type systems.
- Exploit the connection between logic and type systems, where propositions correspond to types and proofs correspond to programs; understand how conjunction corresponds to products, disjunction to sums, and implication to functions.
- Read a formal semantics for a small programming language written in operational denotational style, interpret it in informal terms, and predict how a given program will behave according to the semantic denition.
- Write a formal semantics for a programming language in the operational style, given a careful informal description of the language, and explain how any inadequacies in the informal description have been addressed in the formal one. And, Be able to write inductive definitions and prove properties of them using induction.
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Reading List
* Benjamin Pierce, et al, Software Foundations, 2012. [Available online, required reading: http://www.cis.upenn.edu/~bcpierce/sf/] |
Contacts
Course organiser | Prof Philip Wadler
Tel: (0131 6)50 5174
Email: philip.wadler@ed.ac.uk |
Course secretary | Mr Gregor Hall
Tel: (0131 6)50 5194
Email: gregor.hall@ed.ac.uk |
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