THE ACADEMIC BOARD FOR ARTIFICIAL INTELLIGENCE OF THE SERBIAN ACADEMY OF SCIENCES AND ARTS
Education
Institution | Course content at various levels of study |
Introduction to Artificial Intelligence, machine learning (statistical learning, neural networks, deep learning), applications of artificial intelligence in various domains, soft computing, software engineering and artificial intelligence | |
Applications of statistical and machine learning in the analysis of biological data, introduction to Bayesian statistics and inference in computational biology | |
Intelligent systems and their applications, fuzzy logic and computation with words, reasoning under uncertainty, methods and techniques of automated (machine) learning, neural networks and large language models, time series analysis, web mining (analysis of web content, structure, and usage – clickstream analytics), text mining (analysis of social media content), recommender systems | |
Application of genetic algorithms and fuzzy linear programming to the traveling salesman problem and traffic signalized intersection management problems | |
Undergraduate and master’s courses: Artificial Intelligence, Automated Reasoning, Machine Learning, Deep Learning, Data Mining 1, Data Mining 2, Big Data Analytics, Text Data Retrieval, Introduction to Bioinformatics, and others | |
Laboratory for Intelligent Information Systems, Faculty of Electronics, University of Niš | Semantic Web, Intelligent Information Systems, Bioinformatics |
Artificial Intelligence methods, applications of artificial intelligence, AI in practice, applications of soft computing methods in mining engineering | |
Mathematical Institute of the Serbian Academy of Sciences and Arts (SANU) | As part of summer research internships for undergraduate and postgraduate students, the mentioned AI techniques are studied and applied in the implementation of selected research projects |
The Institute for Artificial Intelligence Research and Development of Serbia | In collaboration with the NVIDIA Deep Learning Institute (NVIDIA DLI), the institute regularly organizes workshops on various AI topics led by certified instructors. The institute also participates in organizing the Eastern European Machine Learning School (EEML), the PSIML summer school, and offers internship opportunities for young researchers |
Within the courses Legal Informatics at the master’s level and Selected Chapters of Legal Informatics at the doctoral level, we deal with the application of artificial intelligence in law. | |
University of Kragujevac, Faculty of Technical Sciences in Cacak | Courses: Artificial intelligence, Machine learning, Computer vision – selected chapters |
Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad | Undergraduate studies – Computer Science: One-semester course Artificial Intelligence, which introduces basic topics and subfields of artificial intelligence. Master’s studies – Computer Science: Two elective courses are offered, covering adequate areas of artificial intelligence. One-semester courses: Business Intelligence and Natural Language Processing. There are also special two-year master’s studies called “Artificial Intelligence” – https://www.pmf.uns.ac.rs/en/studies/study-programs/msc-artificial-intelligence-2022/. These studies offer 9 highly specialized courses dedicated to various topics and areas in artificial intelligence (see details at the link above). Doctoral studies: Within the framework of doctoral studies, elective courses are offered that cover specific areas of artificial intelligence: Agents and multi-agent systems, Machine learning, Knowledge-based systems and applications, Smart environments. |