Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Selected Chapters in Computational Intelligence (17.DRNI07)

Native organizations units: Sub-department for Applied Computer Science and Informatics

Type of studies	Title
Doctoral Academic Studies	Mathematics in Engineering (Godina: 2, Winter)
Doctoral Academic Studies	Computing and Control Engineering (Godina: 2, Winter)
Doctoral Academic Studies	Mathematics in Engineering (Godina: 1, Winter)
Doctoral Academic Studies	Computing and Control Engineering (Godina: 2, Winter)

General information:

Category	Scientific-professional
Scientific or art field	Applied Computer Science and Informatics
Interdisciplinary	No
ECTS	10

Educational goal:

The objective of the course is the acquisition of knowledge in the field of computer intelligence and understanding the possibilities of implementation of artificial intelligence techniques and methods in different fields.

Educational outcome:

The student is able to develop new techniques and methods of computer intelligence and to implement the existing methods in different fields in a new and creative way.

Course content:

Selected methods and techniques of computer intelligence. Selected problems whose solution requires the implementation of methods and techniques of artificial intelligence. Examples of solved and unsolved problems. A part of the course work is conducted through independent individual research study work in the field of Artificial Intelligence. The research study work requires the student`s active and constant interest in and reading of the primary scientific resources and, optionally, writing a paper in the field of Artificial Intelligence.

Teaching methods:

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.

Literature:

Authors	Title	Year	Publisher	Language
Francois Chollet	Deep Learning with Python	2017	Manning Publications	English
Stuart Russel, Peter Norwig	Artificial Intelligence: A Modern Approach (3rd Edition)	2009	Pearson	English
Goodfellow, I., Bengio, Y., Courville, A.	Deep Learning	2017	MIT Press, Cambridge	English