Course syllabus 220732_DDP - Artificial Intelligence (FME - 2018/2019 - post-graduate studies)Help

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Mechanical Engineering
Course unit code: 220732_DDP
Course unit title: Artificial Intelligence
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly / 2 hours per semester of study (on-site method)

Credits allocated: 8
Recommended semester/trimester: Mechatronics - doctoral (optional), 1. year
Mechatronics - doctoral (optional), 1. year
Level of study: -- item not defined --
Prerequisites for registration: none
Assesment methods:
Learning outcomes of the course unit:
Provide an overview of the method means the output of artificial intelligence in modeling and management technology and production processes.
Course contents:
Introduction to Artificial Intelligence
Neural Networks
Multiagent Systems
Evolutionary Algorithms
Recommended or required reading:
P. Návrat a kolektív.: Umelá inteligencia, Vydavateľstvo STU, 2007:,S. Stuart, P. Norvig.: Artificial Intelligence: A Modern Approach, Prentice Hall, 2005.

Language of instruction: -- item not defined --
Courses evaluation:
Assessed students in total: 4

100,0 %0 %
Name of lecturer(s): prof. Ing. Gabriel Hulkó, DrSc. (person responsible for course) - slovak
Last modification: 15. 7. 2018
Supervisor: prof. Ing. Gabriel Hulkó, DrSc. and programme supervisor

Last modification made by Ing. Marianna Frajková on 07/15/2018.

Type of output: