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Course Information CS 591/491 Advanced Programming Techniques, Spring 2009 1 Preliminary version of 20 January Course Information Meetings Tuesdays and Thursdays, 2:00–3:15, in FEC345. Instructor Darko Stefanovic, office hours Tuesdays and Thursdays, 3:20–4:00 in ECE 236C. Course topics and format A seminar with readings and presentations on selected topics in typeful functional programming. Read- ings range from classics to current research, but emphasis is on tutorial articles on programming tech- niques, principally from the summer schools on advanced functional programming. Reading List / Lecture Plan This is a preliminary list of topics, which will be adjusted to reflect the interests of course participants. The pace will be adjusted as well; we may take more than one class period per paper if the discussion shows this is necessary. The sequence proposed below allows dropping the tail. I expect, however, that we will definitely cover topics 1–15. Any dropped topics will be covered in a seminar next year. Presenter name shown in italics. Week 1-2: Introduction 1 organizational; Haskell in brief [IFPH, Ch1-5; H9] Stefanovic 2 functional programming [H4] [T1] Stefanovic 3 trees with folds, binary heap trees, rose trees [IFPH, Ch6] Stefanovic Week 3: Efficiency 4 lazy evaluation, accumulating parameters, tupling [IFPH, Ch7] 5 fusion and deforestation [IFPH, Ch7] Week 4-6: Data structures 6 amortization; queues and splay heaps [O1] 7 red-black trees [O6] 8 more heap trees [O7] 9 tree traversal [O3] 10 tree access [H1] CS 591/491 Advanced Programming Techniques, Spring 2009 2 Week 7: Types and classes 11 type classes; constructor classes [W4] [J3] 12 extensions: multi-parameter type classes; functional dependencies in type classes [J2] 13 examples: math education [F1] Week 8-9: Combinators 14 intro to parsing combinators [F2] [H7] 15 pretty-printing combinators [H5] Week 10-11: Monads 16 monads, combining monads, monadic IO [W1] [IFPH, Ch10] 17 monads and other effects [PJ1] Week 12-13: More combinators 18 monadic parsing combinators [H8] [L3] 19 combinator languages [S1] 20 pretty printing [W3] 21 beyond monadic combinator parsing [S2] Week 14: Arrows 22 arrows [H3] Week 15: Functional reactive programming 23 Yampa [H10] Week 16: Various 24 types and matrices [O5] 25 origami programming [G2] Sources: Papers F1 Jeroen Fokker. Explaining algebraic theory with functional programs. F2 Jeroen Fokker. Functional parsers. G2 Jeremy Gibbons. Origami Programming. From “The Fun of Programming”, 2003. H1 G´erard Huet. The Zipper. JFP, 1997. H3 John Hughes. Generalising Monads to Arrows. 1998. SoCP 2000. H4 John Hughes. Why Functional Programming Matters. 1984. CJ 1989. H5 John Hughes. The Design of a Pretty-Printing Library. AFP. H7 Graham Hutton. Higher-Order Functions for Parsing. JFP, 1992. CS 591/491 Advanced Programming Techniques, Spring 2009 3 H8 Graham Hutton and Erik Meijer. Monadic Parsing Combinators. H9 Paul Hudak, John Hughes, Simon Peyton Jones, and Philip Wadler. A History of Haskell: being lazy with class. HOPL-III, 2007. H10 Paul Hudak, Henrik Nilsson, Anthony Courtney, and John Peterson. Arrows, Robots, and Func- tional Reactive Programming. AFP 2002. J2 Mark P. Jones and Iavor Diatchki. Language and Program Design for Functional Dependencies. HW, 2008. J3 Mark P. Jones. A system of constructor classes: overloading and implicit higher-order polymor- phism. FPCA, 1993. L3 Daan Leijen and Erik Meijer. Direct Style Monadic Parser Combinators For The Real World. O1 Chris Okasaki. Functional Data Structures, AFP. O3 Chris Okasaki. Breadth-First Numbering: Lessons from a Small Exercise in Algorithm Design. ICFP, 2000. O5 Chris Okasaki. From Fast Exponentiation to Square Matrices: An Adventure in Types. ICFP, 1999. O6 Chris Okasaki. Red-Black Trees in a Functional Setting. JFP, 1999. O7 Chris Okasaki. Fun with binary heap trees. From “The Fun of Programming”, 2003. PJ1 Simon Peyton Jones. Tackling the Awkward Squad. S1 S. Doaitse Swierstra, Pablo R. Azero Alcocer, and Jo˜ao Saraiva. Designing and Implementing Combinator languages. AFP. S2 S. Doaitse Swierstra and Luc Duponcheel. Deterministic, Error-Correting Parsers. AFP. T1 Simon Thompson. Where do I begin? A problem solving approach in teaching functional pro- gramming. W1 Philip Wadler. Monads for Functional Programming. AFP. W3 Philip Wadler. A prettier printer. From “The Fun of Programming”, 2003. W4 Philip Wadler and Stephen Blott. How to make ad-hoc polymorphism less ad hoc, POPL 1989. Sources: Books IFPH Richard Bird. Introduction to Functional Programming using Haskell, Prentice Hall, 2nd edition, 1998, ISBN-10: 0134843460 CS 591/491 Advanced Programming Techniques, Spring 2009 4 Presentations Presentations should be around 40 minutes long, to allow time for discussion. Prepared slides are rec- ommended but not required; you may use a few slides from the author’s or someone else’s presentation, with acknowledgement. Most of the papers we will read describe implementations of particular programs or libraries. A good presentation will develop new examples and (update and) test the code. There will be a mechanism for peer review of presentation quality, and it will be part of the course grade. Grading Presentation preparedness and quality, in-depth analysis of material, participation in the discussion. Mailing list A mailing list will be used for class discussion. It may also be used for administrative announcements. UNM statement of compliance with ADA Qualified students with disabilities needing appropriate academic adjustments should contact the in- structor as soon as possible to ensure their needs are met in a timely manner. Handouts are available in alternative accessible formats upon request..
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