First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
STATISTICS AND INFORMATION TECHNOLOGIES
Course unit
OPTIMIZATION MODELS
SSL1000261, A.A. 2014/15

Information concerning the students who enrolled in A.Y. 2013/14

Information on the course unit
Degree course First cycle degree in
STATISTICS AND INFORMATION TECHNOLOGIES
SS1451, Degree course structure A.Y. 2009/10, A.Y. 2014/15
N0
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Degree course track PROFESSIONALIZZANTE [006PD]
Number of ECTS credits allocated 8.0
Type of assessment Mark
Course unit English denomination OPTIMIZATION MODELS
Website of the academic structure http://scienzestatistiche.scienze.unipd.it/2014/laurea_statisticatecnologieinformatiche_2009
Department of reference Department of Statistical Sciences
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 GIOVANNI ANDREATTA

Mutuating
Course unit code Course unit name Teacher in charge Degree course code
SSL1000261 OPTIMIZATION MODELS GIOVANNI ANDREATTA SS1450

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines MAT/09 Operational Research 8.0

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

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Laboratory 2.0 12 38.0 No turn
Lecture 6.0 44 106.0 No turn

Calendar
Start of activities 01/10/2014
End of activities 24/01/2015
Show course schedule 2015/16 Reg.2009 weekly timetable
2015/16 Reg.2009 single teaching timetable

Examination board
Board From To Members of the board
8 commissione a.a. 2015/2016 01/10/2015 30/09/2020 ANDREATTA GIOVANNI (Presidente)
DE FRANCESCO CARLA (Membro Effettivo)
DE GIOVANNI LUIGI (Membro Effettivo)
FERRANTE MARCO (Membro Effettivo)
7 14112014 01/10/2014 30/09/2015 ANDREATTA GIOVANNI (Presidente)
DE FRANCESCO CARLA (Membro Effettivo)
DE GIOVANNI LUIGI (Membro Effettivo)
FERRANTE MARCO (Membro Effettivo)

Syllabus
Prerequisites: Basic knowledge of Excel and Probability.
Target skills and knowledge: The objective of the course is to learn how to analyze decisional problems described in ordinary language and how to build appropriate mathematical models representing them. These models will be solved using a software (e.g., Excel) but the main objective is to develop a critical capacity toward the validation of the models used.
Examination methods: Written test (mandatory); an optional oral test may be required.
Course unit contents: Contents:
1 Introduction to Modeling
2 Introduction to Excel Modeling
3 Linear Optimization Models
4 Network Models
5 Optimization Models with Integer Variables
6 Non Linear Optimization Models
7 Multiobjective Optimization
8 Decision Making under Uncertainty
9 Inventory Models
10 Project Management
Planned learning activities and teaching methods: Lectures will not be theoretical. They will proceed by examples, some developed by the Teacher in the classroom, others addressed together with the students in the computer laboratory.
Additional notes about suggested reading: Besides the textbook (in English), further material will be available in the web page dedicated to the course.
Textbooks (and optional supplementary readings)
  • S.C. Albright e W.L. Winston, Management Science Modeling, Revised third edition.. --: South-Western Cengage Learning, 2009. International Student Edition, ISBN-13: 978-0-324-66346-4; ISBN-10: 0-324-66346-3 Cerca nel catalogo