SIMULATION IN MANAGEMENT

Course Information
TitleΠΡΟΣΟΜΟΙΩΣΗ ΣΤΗ ΔΙΟΙΚΗΣΗ / SIMULATION IN MANAGEMENT
CodeIM-302
Interdepartmental ProgrammeInterdisciplinary MSc on Informatics and Management 2015-today
Collaborating SchoolsInformatics
Economics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorEleftherios Angelis
CommonNo
StatusActive
Course ID40000291

Programme of Study: Interdisciplinary MSc on Informatics and Management 2015-today

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
InformaticsElective Courses327.5
ManagementElective Courses327.5

Class Information
Academic Year2015 – 2016
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600011020
Type of the Course
  • Scientific Area
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic concepts of probability, statistics and operational research
Learning Outcomes
Upon successful completion of this course, the students will understand the principles of discrete event simulation in management and decision making. They will also understand the methodology of modeling the software Simul8 and they will be able to apply it to real business scenarios.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Principles of modelling with the methodology of discrete event simulation, sampling, random numbers from probability distributions, financial models and business management models, operations research models, software and simulation environments, statistical analysis in simulation (data analysis, outcomes analysis, design of experiments), comparison of systems and optimization, verification and validation of simulation models, modern approaches to simulation, simulation applications (industrial production, transport systems, information systems, telecommunications systems, etc.).
Keywords
Discrete event simulation, stochastic models, decision making, management
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Description
Using SIMUL8 software
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures190.6
Laboratory Work200.7
Total391.3
Student Assessment
Description
Homework assignment (40%) and written examination (60%)
Student Assessment methods
  • Written Assignment (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Simulation: The practice of model development and use (2004). S. Robinson, Wiley
Additional bibliography for study
(1) Simulation modeling handbook. A practical approach (2004). C.A. Chung, Wiley (2) Σημειώσεις και Διαφάνειες (3) SIMUL8 Workbook
Last Update
19-09-2013