22MOIS - Intelligent Systems Fundamentals
Course specification | ||||
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Course title | Intelligent Systems Fundamentals | |||
Acronym | 22MOIS | |||
Study programme | ||||
Module | ||||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 4.0 | Status | ||
Condition | None | Облик условљености | ||
The goal | The goal of the Intelligent Systems Fundamentals course is for students to achieve basic knowledge of intelligent systems, their application, different methods of implementing systems with "intelligent" functionalities, as well as the development of skills necessary to design and implement intelligent systems in process engineering. | |||
The outcome | After completing and passing the exam, students will be able to apply fundamental intelligent system techniques in problem solving, knowledge representation, reasoning and learning, and they will be able to understand and apply different artificial intelligence and machine learning techniques in modelling and process regulation. | |||
Contents | ||||
Contents of lectures | Intelligent systems fundamentals. Search algorithms. Data classification and estimation of correlation in data. Machine learning. Nearest neighbor methods. Logical programming. Neural networks. Genetic algorithms. | |||
Contents of exercises | Practical lessons are carried out in the computer lab. Application of artificial intelligence and machine learning techniques through the use of software tools and programming languages (Python, etc.) in process engineering examples. The students will also be given assigments to carry out on their own. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
2 | 2 | |||
Methods of teaching | Lectures, practical classes in the computer laboratory, consultations | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | 30 | ||
Practical lessons | Oral examination | |||
Projects | ||||
Colloquia | ||||
Seminars | 20 |