Graph theory and applications

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code IN.7613
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SA-2019

    Schedules and rooms

    Summary schedule thursday 14:15 - 17:00, weekly, PER 21 E230
    Struct. of the schedule 3h par semaine durant 14 semaines
    Contact's hours 42

    Teaching

    Responsibles
    Teachers
    Description

    In this course, we first introduce some basic concepts and notions of graph theory. We then present a series of graph theoretical problems (vertex coloring, edge coloring, maximum matching, …) which have real world applications (in sports scheduling, timetabling, transmission problems, … ) and focus on how these problems may be solved. The students will also learn how to model other real world problems using the graph theoretical notions introduced.

    Training objectives

    With this course, the students will get familiar with the basic notions and fundamental problems in graph theory. They will learn how to use these theoretical problems to model real world problems as well as how to solve them. 

    Comments

    MSc-CS BENEFRI - (Code Ue: 53085 / Track: T5) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Place
    19.09.2019 14:15 - 17:00 PER 21 , Room E230
    26.09.2019 14:15 - 17:00 PER 21 , Room E230
    03.10.2019 14:15 - 17:00 PER 21 , Room E230
    10.10.2019 14:15 - 17:00 PER 21 , Room E230
    17.10.2019 14:15 - 17:00 PER 21 , Room E230
    24.10.2019 14:15 - 17:00 PER 21 , Room E230
    31.10.2019 14:15 - 17:00 PER 21 , Room E230
    07.11.2019 14:15 - 17:00 PER 21 , Room E230
    14.11.2019 14:15 - 17:00 PER 21 , Room E230
    21.11.2019 14:15 - 17:00 PER 21 , Room E230
    28.11.2019 14:15 - 17:00 PER 21 , Room E230
    05.12.2019 14:15 - 17:00 PER 21 , Room E230
    12.12.2019 14:15 - 17:00 PER 21 , Room E230
    19.12.2019 14:15 - 17:00 PER 21 , Room E230
  • Assessments methods

    Examen écrit

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Branche secondaire Master: informatique de gestion
    Version: 2017/SA_v01
    Cours > Module Wirtschaftsinformatik > Decision Support and Applied Statistics

    Branche secondaire Master: informatique de gestion
    Version: 2019/SA-v01
    Cours > Module Wirtschaftsinformatik > DADS: Data Analytics & Decision Support

    Business Communication - Information Systems 90 ECTS [MA]
    Version: 2017/SA_v01 SYS
    Courses - 60 ECTS > Option Group > Information Management - 30 ECTS > Cours > Module Wirtschaftsinformatik > Decision Support and Applied Statistics

    Business Communication - Information Systems 90 ECTS [MA]
    Version: SP 2017 SYS
    Courses - 60 ECTS > Option Group > Information Management - 30 ECTS > Cours > Module Wirtschaftsinformatik > Decision Support and Applied Statistics

    Ens. compl. en Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Computer Science (Master level)

    Information Management 90 ECTS [MA]
    Version: 2017/SA_v01
    Cours > Module Wirtschaftsinformatik - min. 22 ECTS > Decision Support and Applied Statistics

    Information Management 90 ECTS [MA]
    Version: 2015
    Cours > Module Wirtschaftsinformatik - min. 22 ECTS > Decision Support and Applied Statistics

    Information Management 90 ECTS [MA] - SA/2019
    Version: 2019/SA_V01
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > DADS: Data Analytics & Decision Support
    Classes - min. 45 ECTS > Module IT and IT Management > DADS: Data Analytics & Decision Support

    MSc in Computer science (BeNeFri)
    Version: 2010_2/V_02
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > Specialized courses in Computer Science (Master level)