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Module Concepts of Programming Languages, Master Course Computer Science (ER 7)
Module summary

Concepts of Programming Languages

INFM120SE

Prof. Dr. Martin Sulzmann

6 ECTS points / 5 Contact hours

All semesters

none

none

Students will get to know various types of programming languages and their underlying concepts as well as optimization methods to efficiently execute programs. Via practical exercises students are exposed to different styles of programming in several programming languages. They are able to judge the usefullness and effectiveness of various programming concepts.

Written/verbal Exam 90/20 Min. (graded)
Course Programming Paradigms

INFM121SE.a

Lecture

Prof. Dr. Martin Sulzmann

German

3/2

Module exam

Students of this course

  • obtain an overview of the history of programming languages,
  • get to know the various styles of programming (paradigms),
  • explore their commonalities and differences,
  • get hands on experiences by solving practical problems.

List of topics covered includes:

  • Historical Overview

  • Procedural languages

    • Block structure

    • Parameter Passing

  • Object-oriented languages

    • Subtyping

    • Inheritance

    • Overloading

  • Functional languages
    • Lambda calculus
    • Higher-order functions
    • Algebraic data types and pattern matching
  • Type systems
    • Deduction (-> Prolog / logic programming)
    • Typinference
    • Polymorphism
    • Static Analysis
  • Concurrent and distributed programming
    • The Actor model
    • Software Transactional Memory

  • Lecture notes and slides
  • Exercises
  • Textbook: Concepts in Programming Languages von John C. Mitchell

Prerequisites: Experience in a programming language.  

 

Mix of lectures (2/3) and practical exercies (1/3)

Course Program Optimization

INFM121SE.b

Lecture

Prof. Dr. Christian Pape

German

1/1

Module exam

Course Program Optimization Laboratory

INFM122E

Exercise

Prof. Dr. Christian Pape

German

2/2

Exercise 1 Semester (not graded)

The students of this course have to

  • implement complex algorithms with a procedural or object-oriented programming language,
  • optimize the implementation with specific techniques like CPU-cache optimization or the pardigm of hybridization,
  • measure and analyze the time and memory consumption of the implemenation,
  • compare algorithms with respect to different test scenarios, and
  • documenting and discuss the final results.

The computer science problems of this course change from time to time. Typical problems include:

  • Fast multiplication of polynomials and numbers,
  • geometric algorithms, or
  • graph algorithms.

The exercises and supplementary materials are available electronically (HTML, PDF, partial programms).

Prerequisites:

Deep practical knowledge of a procedural or object-oriented programming language like C, C++, C#, or Java. Implementation and testing of basic algorithms in the field of search, graphs and sorting problems.

Format:

Practical Assignment in a computer laboratory with small introductional parts as a lecture.

Support:

Individual support by the teachers in the computer lab. Contact outside laboratory time via e-mail or during the hours of the lecturers.