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Advanced Concepts in Programming Languages Advanced Concepts in Imperative Programming verification of Java, Haskell, and Prolog programs

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Advanced Concepts in Programming Languages

Prerequisites Programming Languages (DM509)

Form Individual Study Activity

(reading course with practical projects)

Credit 5 ECTS

Evaluation Pass/Fail based on participation and projects

Textbooks none - articles, tutorials, and notes

Advanced Concepts in Programming Languages

Prerequisites Programming Languages (DM509)

Form Individual Study Activity

(reading course with practical projects)

Credit 5 ECTS

Evaluation Pass/Fail based on participation and projects

Textbooks none - articles, tutorials, and notes

Lecturer Peter Schneider-Kamp

(new at IMADA from January 1, 2009)

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programming

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*reduce(lambda x,y: x+y, map(int, "1 2 3 4 5 6".split()))

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*reduce(lambda x,y: x+y, map(int, ["1", "2", "3", "4", "5", "6"]))

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*reduce(lambda x,y: x+y, [1, 2, 3, 4, 5, 6,])

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*(1+2+3+4+5+6)

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code 42

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*reduce(lambda x,y: x+y, map(int, "1 2 3 4 5 6".split()))Single Assignment C

functional array programming for high-performance computing matrixProduct = {[i,j] -> sum(A[[i,.]] * B[[.,j]])};

Advanced Concepts in Programming Languages

Advanced Concepts in Imperative Programmingfunctional constructs in use map, filter, reduce, lambda, partial to write better Python code

2*reduce(lambda x,y: x+y, map(int, "1 2 3 4 5 6".split()))Single Assignment C

functional array programming for high-performance computing matrixProduct = {[i,j] -> sum(A[[i,.]] * B[[.,j]])};generic types in polymorphic data types in mainstream Java public class Pair { public T x; public U y; }

Advanced Concepts in Programming Languages

Advanced Concepts in Logic Programmingforeign language interface for Prolog interface Prolog with Java using InterPrologmeta programming in Prolog assert, retract, and clause for implementing expert systemsdatabase queries using Datalog restricted Prolog as a query language for databaseswriting parsers in Prolog declarative clause grammars

Advanced Concepts in Programming Languages

Advanced Concepts in Functional Programmingcombined functional and logic languages the functional logic language Curry as an extension of Haskellparallel programming in Haskell exploit multiple processors/machines using parallel/distributed Haskellweb interfaces using Haskell use the cgi and xhtml modules to create web interfacesgraphical user interface in Haskell use Java Swing and the LambdaVM

Research Topics

Possible Areas for Bachelor or Master Thesesverification of Java, Haskell, and Prolog programs termination analysis correctness, liveness, and safety programming languages optimizing compilers virtual machines software development tools push-button verification tools integrating verification tools into IDEs constraint solving satisfiability solving and optimization constraint solving over finite domains

Advanced Concepts in Programming Languages

Prerequisites Programming Languages (DM509)

Form Individual Study Activity

(reading course with practical projects)

Credit 5 ECTS

Evaluation Pass/Fail based on participation and projects

Textbooks none - articles, tutorials, and notes

Lecturer Peter Schneider-Kamp

(new at IMADA from January 1, 2009)

Advanced Concepts in Programming Languages

Prerequisites Programming Languages (DM509)

Form Individual Study Activity

(reading course with practical projects)

Credit 5 ECTS

Evaluation Pass/Fail based on participation and projects

Textbooks none - articles, tutorials, and notes

Lecturer Peter Schneider-Kamp

(new at IMADA from January 1, 2009)quotesdbs_dbs17.pdfusesText_23