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Academy of Technical and Art Applied Studies

School of Electrical and Computer Engineering

Intelligent Systems and Technologies Course code: 151507 | 6 ECTS credits

Basic information
Level of Studies: Undergraduate applied studies
Year of Study: 3
Semester: 6
Requirements: Middle level programming and mathematics knowledge.
Goal: Introducing AI (Artificial Intelligence) technologies in software applications, acquiring knowledge necessary for working with development tools and their integration into information systems, introduction to contemporary trends in AI.
Outcome: Students will be able to use different kind of frameworks and software libraries to integrate business intelligence into the IS to achieve advanced functionality and to further develop themselves in this area
Contents of the course
Theoretical instruction:
  1. Introduction to AI
  2. Search Algorithms 1
  3. Search Algorithms 2
  4. Proposition and First Order Logic
  5. Expert Systems
  6. Fuzzy Logic
  7. Bayessian Networks
  8. Artificial Networks and Genetic Algorithm
  9. The Course's First Part Overview
  10. Description Logic
  11. Semantic Web
  12. Technics and Technologies for Advanced Data Search
  13. The Course's Second Part Overview
  14. Final Conclusions
Practical instruction (Problem solving sessions/Lab work/Practical training):
  1. In accordance with the subject addressed in the course of the lecture. Demonstrate the practical development of intelligent systems presented in lectures, using the selected tools. The course program is in line with the recommendations of IEEE / ACM CC2001, Computer Science - CS260, Artificial Intelligence, and CS261w AI and Information.
Textbooks and References
  1. H. Marmanis, D. Babenko, Algorithms of the Intelligent Web, Manning, United Kingdom, 2009
  2. M.Russel, Mining the Social Web, O’Reilly, USA, 2013
  3. V. Devedžić, Tehnologije inteligentnih sistema, Fakultet organizacionih nauka, Beograd, 2004.
Number of active classes (weekly)
Lectures: 3
Practical classes: 2
Other types of classes: 0
Grading (maximum number of points: 100)
Pre-exam obligations
activities during lectures
activities on practial excersises
seminary work
Final exam
Written exam
Oral exam