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# Details for the Course Syllabus for Course FMA091F valid from Autumn 2013

General
Aim
• The aim of the course is to treat some basic parts of discrete mathematics, of importance in computer science, information theory, signal processing, physics and many other subjects in technology and science. The aim is also to develop the postgraduate students' ability to solve problems and to assimilate mathematical text. The course should also provide general mathematical education.
Contents
• Number theory: Divisibility. Prime numbers. The Euclidean algorithm. Diofantine equations. Modular arithmetic.

Sets, functions and relations: Injective, surjective and bijective functions. Inverse function. Equivalence relations. Partial order relations.

Combinatorics: The four cases of counting with or without repetition and with or without regard to order. Binomial coefficients. The principle of inclusion and exclusion. The method of generating functions.

Graph theory: Terminology and basic concepts. Eulerian and Hamiltonian graphs. Planar graphs. Graph colouring.
Knowledge and Understanding
• For a passing grade the doctoral student must
• be able to understand and in his or her own words clearly define the central concepts in combinatorics, number theory, functions and relations, and graph theory.

in his or her own words be able to describe the logical connections between the occurring concepts (theorems and proofs).

with confidence be able to carry out routine calculations within the framework of the course.

in practical situations, with confidence be able to identify different combinatorial selections: with/without repetition, with/without regard to order.
Competences and Skills
• For a passing grade the doctoral student must
• be able to demonstrate ability to identify problems which can be solved with methods from discrete mathematics and to choose an appropriate method.

in connection with problem solving be able to demonstrate ability to integrate results from various parts of the course.

be able to describe the connections between the different concepts in the course, in a well-structured, logically consistent manner and using proper terminology.

with proper terminology, in a well-structured way and with clear logic be able to explain the solution to a problem.
Judgement and Approach
• For a passing grade the doctoral student must
Types of Instruction
• Lectures
• Seminars
• Exercises
Examination Formats
• Written exam
• Failed, pass
Assumed Prior Knowledge
• Elementary linear algebra and analysis (FMAA01/05 and FMA420).
Selection Criteria
Literature
• Böiers, L.: Diskret matematik. 2003. ISBN 9789144031026.
Böiers, L.: Diskret matematik: Övningsbok. 2003. ISBN 9789144031194.
Further Information
Course code
• FMA091F