First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
COMPUTER ENGINEERING
Course unit
OPERATIONS RESEARCH 2
INL1000205, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
COMPUTER ENGINEERING
IN0521, Degree course structure A.Y. 2009/10, A.Y. 2018/19
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination OPERATIONS RESEARCH 2
Department of reference Department of Information Engineering
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2018-IN0521-000ZZ-2017-INL1000205-N0
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge MATTEO FISCHETTI MAT/09

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines MAT/09 Operational Research 6.0

Course unit organization
Period Second semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 25/02/2019
End of activities 14/06/2019
Show course schedule 2019/20 Reg.2009 course timetable

Examination board
Board From To Members of the board
9 A.A. 2018/2019 01/10/2018 15/03/2020 FISCHETTI MATTEO (Presidente)
SALVAGNIN DOMENICO (Membro Effettivo)
FERRANTE AUGUSTO (Supplente)
PIETRACAPRINA ANDREA ALBERTO (Supplente)
8 A.A. 2017/2018 01/10/2017 15/03/2019 FISCHETTI MATTEO (Presidente)
SALVAGNIN DOMENICO (Membro Effettivo)

Syllabus
Prerequisites: Basic notions of Operations Research and of computer programming
Target skills and knowledge: Knowledge about advanced Mathematical Programming techniques. Capability of designing and implementing advanced algorithms for combinatorial optimization problems.
Examination methods: Traditional with homeworks.
Assessment criteria: Discussion of the methods and algorithms covered.
Course unit contents: Design of advanced combinatorial optimization algorithms and their application to a prototype problem (STP, Steiner Tree Problem). Mandatory homeworks requiring the actual implementation of all the proposed techniques will be assigned and checked.
Planned learning activities and teaching methods: Capability of designing and implementing advances models and algorithms for integer linear programming, using dedicated software tools (IBM ILOG CPLEX)
Additional notes about suggested reading: Notes provided by the teacher.
Textbooks (and optional supplementary readings)
  • Conforti, Michele; Zambelli, Giacomo, Integer programmingMichele Conforti, Gérard Cornuéjols, Giacomo Zambelli. Cham [etc.]: Springer, 2014. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Problem solving
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Kaltura (desktop video shooting, file loading on MyMedia Unipd)
  • Latex

Sustainable Development Goals (SDGs)
Quality Education Affordable and Clean Energy Industry, Innovation and Infrastructure Sustainable Cities and Communities