SIMULATION IN MANAGEMENT
| Title | ΠΡΟΣΟΜΟΙΩΣΗ ΣΤΗ ΔΙΟΙΚΗΣΗ / SIMULATION IN MANAGEMENT |
| Code | IM-302 |
| Interdepartmental Programme | Interdisciplinary PPS on Informatics and Management (2014-today) |
| Collaborating Schools | Informatics Economics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Eleftherios Angelis |
| Common | No |
| Status | Active |
| Course ID | 40000291 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600131983
|
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600131983
- eLearning (Moodle):
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 19 | 0.6 | ✓ | ||
| Laboratory Work | 20 | 0.7 | ✓ | ||
| Project | 90 | 3 | ✓ | ✓ | |
| Written assigments | 36 | 1.2 | ✓ | ✓ | |
| Exams | 60 | 2 | |||
| Total | 225 | 7.5 |
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
11-11-2017
