Course Information
TitleΣΤΟΧΑΣΤΙΚΕΣ ΣΤΡΑΤΗΓΙΚΕΣ / Stochastic Strategies
Code0506
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID40000524

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

Registered students: 321
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course535.5

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Instructors from Other Categories
Weekly Hours3
Class ID
600147651
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Learning Outcomes
Upon completion of the course, students will: - Know the central idea of Dynamic Programming - Know the necessity of using Dynamic Programming for solving real problems - Know the concept of stochasticity in decision making problems - Have the key knowledge to solve Dynamic Problems of Operational Research with Multi-Step Decisions
General Competences
  • Apply knowledge in practice
  • Make decisions
  • Work autonomously
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
stochastic problems - Stochastic networks - Stochastic problems of tools replacement and repairing - Renewal theory - Inventory.
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Reading Assigment1234.1
Exams30.1
Total1655.5
Student Assessment
Student Assessment methods
  • Written Exam with Extended Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
- Εφαρμοσμένος Μαθηματικός Προγραμματισμός, Π.-Χ. Γ. Βασιλείου. - Ασκήσεις στην Επιχειρησιακή Έρευνα, Τόμος Β΄, Π.-Χ. Γ. Βασιλείου, Γ. Τσακλίδης, Ν. Τσάντας.
Last Update
15-03-2020