| First cycle degree courses | Second cycle degree courses | Single cycle degree courses |
| School of Science | ||
| STATISTICAL SCIENCES | ||
Course unit
STOCHASTIC OPTIMIZATION
SCP4063217, A.A. 2017/18
Information concerning the students who enrolled in A.Y. 2017/18
STOCHASTIC OPTIMIZATION
SCP4063217, A.A. 2017/18
Information concerning the students who enrolled in A.Y. 2017/18
Information on the course unit
| Degree course |
Second cycle degree in STATISTICAL SCIENCES SS1736, Degree course structure A.Y. 2014/15, A.Y. 2017/18 |
 bring this page with you |
|---|---|---|
| Number of ECTS credits allocated | 9.0 | |
| Type of assessment | Mark | |
| Course unit English denomination | STOCHASTIC OPTIMIZATION | |
| Website of the academic structure | http://scienzestatistiche.scienze.unipd.it/2017/laurea_magistrale | |
| Department of reference | Department of Statistical Sciences | |
| E-Learning website | https://elearning.unipd.it/stat/course/view.php?idnumber=2017-SS1736-000ZZ-2017-SCP4063217-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 | GIOVANNI ANDREATTA | ||
|---|---|---|---|
| Other lecturers | LUIGI DE GIOVANNI | MAT/09 |
ECTS: details
| Type | Scientific-Disciplinary Sector | Credits allocated | |
|---|---|---|---|
| Educational activities in elective or integrative disciplines | MAT/09 | Operational Research | 9.0 |
Course unit organization
| Period | Second semester |
|---|---|
| Year | 1st Year |
| Teaching method | frontal |
| Type of hours | Credits | Teaching hours |
Hours of Individual study |
Shifts |
|---|---|---|---|---|
| Laboratory | 2.0 | 14 | 36.0 | No turn |
| Lecture | 7.0 | 50 | 125.0 | No turn |
| Start of activities | 26/02/2018 |
|---|---|
| End of activities | 01/06/2018 |
| Show course schedule | 2019/20 Reg.2014 course timetable |
Examination board
| Board | From | To | Members of the board |
|---|---|---|---|
| 5 Commissione a.a.2018/19 | 01/10/2018 | 30/09/2019 |
DE GIOVANNI
LUIGI
(Presidente)
ANDREATTA GIOVANNI (Membro Effettivo) DE FRANCESCO CARLA (Membro Effettivo) FISCHER MARKUS (Membro Effettivo) |
| 4 Commissione a.a. 2017/18 | 01/10/2017 | 30/09/2018 |
ANDREATTA
GIOVANNI
(Presidente)
DE GIOVANNI LUIGI (Membro Effettivo) FERRANTE MARCO (Membro Effettivo) |
| Prerequisites: | Elementary Probability Theory. |
| Target skills and knowledge: | The objective of the course is to provide a range of tools that may help in finding the best decisions when the information available is not deterministic and complete but is only known with some degree of stochasticity. |
| Examination methods: | The grading will be based on a written test (plus a possible oral examination) and the presentation of a small project to be agreed with the Instructor.
The exam may be taken in italian or English. |
| Course unit contents: | The course program includes the following topics:
- Queuing Theory - Decision Analysis - Robust Optimization - Markovian Decision processes - Stochastic Optimization - Revenue Management - Discrete Event Simulation - Simulation of Dynamic Systems - Use of Simulation Packages |
| Planned learning activities and teaching methods: | Lectures in the classroom and practical experimentation in the computer laboratory. |
| Additional notes about suggested reading: | Besides the textbook (in Italian), further material will be made available in the web page dedicated to the course. |
| Textbooks (and optional supplementary readings) |
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