Undergraduate Course: Types and Semantics for Programming Languages (INFR10040)
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 10 (Year 4 Undergraduate) | 
Credits | 10 | 
 
| Home subject area | Informatics | 
Other subject area | None | 
   
| Course website | 
http://course.inf.ed.ac.uk/tspl | 
Taught in Gaelic? | No | 
 
| Course description | 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. | 
 
 
Information for Visiting Students 
| Pre-requisites | None | 
 
| Displayed in Visiting Students Prospectus? | No | 
 
 
Course Delivery Information
| Not being delivered |   
Summary of Intended Learning Outcomes 
1 - 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. 
2 - 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. 
3 - 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. 
4 - Explain the differences between informal and formal semantics of programming languages, and between the operational, denotational and axiomatic approaches to formal semantics. 
5 - Read a formal semantics for a small programming language written in operational or denotational style, interpret it in informal terms, and predict how a given program will behave according to the semantic definition. 
6 - 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. | 
 
 
Assessment Information 
Written Examination	0 
Assessed Assignments	25 
Practical Examination   75 
 
Assessment 
Short exercises each week. 
 
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |  
 
Special Arrangements 
| None |   
 
Additional Information 
| Academic description | 
Not entered | 
 
| Syllabus | 
Type systems for programming languages 
* 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. 
 
Formal semantics for programming languages 
* Principles of operational, denotational and axiomatic semantics. 
* Key concepts of semantics: compositionality, adequacy, observational equivalence, full abstraction and definability. 
* Case study: operational semantics for a fragment of Java. 
 
Relevant QAA Computing Curriculum Sections:  Comparative Programming Languages, Compilers and Syntax Directed Tools, Programming Fundamentals, Theoretical Computing | 
 
| Transferable skills | 
Not entered | 
 
| Reading list | 
* Benjamin Pierce, et al, Software Foundations, 2012.  [Available online, required reading: http://www.cis.upenn.edu/~bcpierce/sf/] | 
 
| Study Abroad | 
Not entered | 
 
| Study Pattern | 
Not entered | 
 
| Keywords | Not entered | 
 
 
Contacts 
| Course organiser | Prof Philip Wadler 
Tel: (0131 6)50 5174 
Email: philip.wadler@ed.ac.uk | 
Course secretary | Miss Claire Edminson 
Tel: (0131 6)51 7607 
Email: C.Edminson@ed.ac.uk | 
   
 
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