Stochastic Operational Research

Course Information
TitleΣΤΟΧΑΣΤΙΚΕΣ ΕΠΙΧΕΙΡΗΣΙΑΚΕΣ ΕΡΕΥΝΕΣ / Stochastic Operational Research
Code0535
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorAlexandra Papadopoulou
CommonNo
StatusActive
Course ID40000526

Programme of Study: UPS of School of Mathematics (2014-today)

Registered students: 3
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses belonging to the selected specialization745.5

Class Information
Academic Year2015 – 2016
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600004705
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
Required Courses
  • 0504 Mathematical Methods in Operational Research
General Prerequisites
Basic knowledge in Probability Theory
Learning Outcomes
Learning and analysing basic knowledge of renewal theory and some stochastic processes for population models. Solving mathematical problems using theoretical tools. Practising to modelling by applying stochastic tools
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Design and manage projects
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Renewal theory. Stochastic processes for population models. Markov Decision processes. Semi Markov processes.
Keywords
Renewal theory, Markov processes, stochastic models
Educational Material Types
  • Book
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Total391.3
Student Assessment
Description
Written examination
Student Assessment methods
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Ασκήσεις στην Επιχειρησιακή Έρευνα, Τόμος Β΄ των Π.-Χ. Βασιλείου, Γ. Τσακλίδη, Ν. Τσάντα.
Additional bibliography for study
R.A. Howard (1971), Dynamic Probabilistic Systems, Wiley, NY
Last Update
21-09-2013