Checking date: 27/03/2017


Course: 2019/2020

Modelling, simulation and optimization
(16445)
Study: Master in Computer Science and Technology (71)
EPI


Coordinating teacher: BERLANGA DE JESUS, ANTONIO

Department assigned to the subject: Department of Computer Science and Engineering

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results.
The learner will acquire strategies for: How to model a multi-objective problem. How to define the parameters of an experiment. Perform simulations in virtual environments. How to model conversational agents.
Description of contents: programme
AI Optimization Techniques Practical applications of optimization AI techniques for modeling Real world applications modeled with AI Simulation as a tool for system evaluation Integration of AI techniques in simulation: modeling and evaluation Design and evaluation of complex systems Process mining Multiobjective Optimization
Learning activities and methodology
Presentation and round table of student work. Practical implementation using the computer.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • Carlos A. Coello Coello and Gary B. Lamont. . Applications of Multi-Objective Evolutionary Algorithms. World Scientific. 2004
  • Diana Perez-Marin and Ismael Pascual-Nieto. Conversational Agents and Natural Language Interaction: Techniques and Effective Practices. IGI Global. 2011
  • Jack P. C. Kleijnen, Susan M. Sanchez, Thomas W. Lucas, and Thomas M. Cioppa. State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments.. INFORMS J. on Computing 17, 3 (July 2005). 2005
  • Joshua Knowles, David Corne, Kalyanmoy Deb. Multiobjective Problem Solving from Nature: From Concepts to Applications. Springer,. 2008
  • Montgomery, D.C. Design and Analysis of Experiments. Wiley. 2013
  • W.M.P. van der Aalst,. Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer . 2011

The course syllabus and the academic weekly planning may change due academic events or other reasons.