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IX1503 Discrete Mathematics for Business Engineering 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus IX1503 (Autumn 2011–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Combinatorics and sets. Integers, divisibility, induction, recursionfunctions and relations. Number sequences, sums and difference equations. Graph theory, trees, walks and searches. Eulerian graphs, Hamiltonian graphs, planar graphs, coloring and chromatic number

Intended learning outcomes

GENERAL OBJECTIVES

After course completion the student should be able to

- formulate, analyze and solve problems in discrete mathematics significant to in the ICT sphere

- apply and develop discrete models with the aid of mathematical programming language

- review and comment a given solution to a problem- comment a discrete model and propose improvements

- make presentations of solutions of a discrete problem 

DETAILED OBJECTIVES

After course completion the student should be able to

- compute the number of possibilities with simple selection principles (order/recurrence)

- compute permutations and combinations

- use set notations and Venn Diagrams

- decide whether a function is surjective, injective or bijective

- characterize relations in important classes, e.g. equivalence relation and partial order 

- set up recursive models

- solve difference equations and use recursion when solution is not possible 

- determine the minimum spanning tree

- determine shortest path in graphs

- set up graph models in problem solving (e.g. optimization and coloring)

Literature and preparations

Specific prerequisites

Completed upper secondary education including documented proficiency in Swedish corresponding to Swedish B and English corresponding to English A. For students who received/will receive their final school grades after 31 December 2009, there is an additional entry requirement for mathematics as follows: documented proficiency in mathematics corresponding to Mathematics A, and the specific requirements corresponding to Mathematics C, Civics A, Physics A and Chemistry A, and the specific requirements corresponding to Mathematics C, Civics A, Physics A and Chemistry A

Recommended prerequisites

IX1306 - Mathematics for Economic Applications

Equipment

No information inserted

Literature

Lars-Christer Böiers, Diskret Matematik, Studentlitteratur, 2003

Lars-Christer Böiers, Diskret Matematik Övningsbok, Studentlitteratur, 2003

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Assignment, 4.0 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Written exam (TEN1; 3,5 hp)

Problem assignments (INL1; 4 hp)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Mathematics, Technology

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Göran Andersson (goeran@kth.se)

Supplementary information

The teaching method is problem oriented and computer aided. The education time is evenly distributed among the three main topics

- conceptual understanding and modelling

- algorithms

- conclusions and synthesis.