Subject: Computational Intelligence (19 - SE0036)

Basic Information

Scientific or art field:Applied Computer Science and Informatics
Native organizations units

Course native organizational units not found!
Course specification

Course is active from 30.09.2005..

Students gain basic knowledge about the basic principles and techniques of computational (artificial) intelligence.
Understanding basic principles and techniques of computational intelligence and the ability to apply them in solving different types of problems.
Concepts, aims, techniques, environments, and areas of computational intelligence. Uniformed and informed search techniques applied to problems with or without adversaries. Stochastic environment modeling (Markov Decision Processes). Training intelligent agents with reinforcement learning. Basic principles of machine learning: supervised, unsupervised and semi-supervised learning; basic clustering and classification algorithms. Introduction to neural networks. Introduction to deep learning: convolutional and recurrent neural networks. Introduction to deep reinforcement learning. Introduction to genetic algorithms. Introduction to logic programming in Prolog.
Teaching methods include lectures, laboratory classes, homework assignments, and consultations. Lectures involve presenting the course materials using the necessary didactic tools while encouraging the students to participate actively. Laboratory classes (exercises) are realized through assignments that can be done independently or with the help of teaching assistants, as well as through homework assignments.
Stuart Russel, Peter NorwigArtificial Intelligence: A Modern Approach (3rd Edition)2009PearsonEnglish
Francois CholletDeep Learning with Python2017Manning PublicationsEnglish
Goodfellow, I., Bengio, Y., Courville, A.Deep Learning2017MIT Press, CambridgeEnglish
Grupa autoraArtificial Intelligence Now2017O ReillyEnglish
Beyer, D.The Future of Machine Intelligence2016O ReillyEnglish
Zheng, A.Evaluating Machine Learning Models2015O ReillyEnglish
Course activity Pre-examination ObligationsNumber of points
Written part of the exam - tasks and theoryNoYes45.00
Name and surnameForm of classes
Missing picture!

Kovačević Aleksandar
Full Professor

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Vidaković Dragan
Assistant - Master

Computational classes