Computer and System Sciences, Discrete Event Simulation with Optimization, 7.5 credits
Please note that the literature can be changed/revised until:
• June 1 for a course that starts in the autumn semester
• November 15 for a course that starts in the spring semester
• April 1 for a course that starts in the summer
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Syllabus:
Data- och systemvetenskap, Diskret händelsestyrd simulering med optimering, 7,5 hp
Computer and System Sciences, Discrete Event Simulation with Optimization, 7.5 credits
General data
- Code: DVS019F
- Subject/Main field: Computer and System Sciences
- Cycle: Third cycle
- Credits: 7,5
- Answerable faculty: Faculty of Science, Technology and Media
- Answerable department: Department of Information and Communication Systems
- Approved: 2016-12-14
- Version valid from: 2016-03-17
Aim
The course aims to provide knowledge of discrete event simulation and how it along with optimization can be used in practical applications in areas such as computer engineering and industrial engineering and management
Course objectives
The objective of the course is that the students after completing the course will be able to :
- Describe and understand the characteristics of event simulation and its applicability , especially discrete models .
- Apply discrete event simulation for analysis and to combine the methods of optimization .
- Critically interpret and analyze results from the event-driven simulations and optimizations , and on this basis develop recommendations .
- Create models that meet the demands for animation and user interface.
- Compile , interpret and present articles that highlight research in the area.
- Apply methods for the effective and successful implementation of the project, from goal formulation to presentation of the results.
Content
The course covers the following topics : introduction to simulation and optimization , general principles , statistical models in simulation , random generation , analysis of input-, process- and output of data , simulation and optimization of queuing systems , discrete event simulation , heuristic based optimization, combined optimization and simulation , as well as verification and validation.
Entry requirements
A person meets the entry requirements for the course if he or she has been admitted to a third-cycle study programme and will be given credit for the course in that study programme.
(Äldre gymnasiebetyg)
Selection rules and procedures
The selection process is in accordance with the Higher Education Ordinance and the local order of admission.
Teaching form
Teaching is carried out by means of the following elements:
- Lectures,
- Assignments,
- Practical tasks performed individually and / or collectively ,
- Oral presentations of completed tasks individually and / or collectively ,
- Written reports of the tasks carried out individually and / or in groups.
The course can also be implemented as a self-study course .
Examination form
The examination consists of three parts : Active participation in seminars , assignments and a well documented project.
Grading system
Fail (U) or Pass (G)
Course reading
Required literature
- Author: Banks, J., Carson J.S.and Nelson B.N.
- Title: Discrete-Event System Simulation
- Edition: Senaste
- Publisher: Prentice Hall, Upper Saddle River, NJ,
Reference literature
- Author: Kelton, W.D., Sadowski, R.P. and Sadowski D.A.,
- Title: Simulation with Arena,
- Edition: Senaste
- Publisher: McGraw-Hill, New York,
- Author: Aarts, L, Lenstra, J.K
- Title: Local Search in Combinatorical Optimization
- Edition: Senaste