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Applied Artificial Intelligence
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Summary of the Profile
General Description:
1. Objective(s) of a study programme:
1. Prepare highly qualified professionals, providing them with artificial intelligence algorithms applicability perception. To develop the ability to apply the knowledge of machine training, image recognition in the design and development of new intelligent products and solutions, testing and implementation of them in future intelligent production technologies.
1. Learning outcomes:
1. Knowledge:
Know and systematically understand the theoretical knowledge of physical and engineering sciences required to form the fundamental foundations of the field of study.
Will have consistently integrated and linked to applied artificial intelligence IT, design and management theory and other interdisciplinary knowledge.
Research skills:
Will be able to find and apply engineering and technological information in planning, researching and evaluating the process of artificial intelligence application process.
Will be able to plan and conduct experiments using laboratory equipment for the design and application of artificial intelligence algorithms.
Engineering analysis:
Will be able to identify, formulate and solve problems of engineering research and development of artificial intelligence, selecting intellectual methods and software.
Will be able to select and apply analytical, modelling and testing methods.
Engineering design:
Will be able to apply knowledge and understanding of the boundaries of systems defining the concept of applied artificial intelligence, its structure and the relationship between elements and processes, the design of these systems, their integrity and interaction with the environment.
Will be able to select and interpret information and process the obtained data required for the application of artificial intelligence in the design and implementation of intellectual products. Understand the links between these decisions and the economic consequences.
Engineering activity skills:
Will be able to combine theoretical knowledge and practical skills in solving complex problems of artificial intelligence application in production, planning the consistency and interaction of artificial intelligence application algorithms, assessing work and cyber safety, commercial, ethical and environmental circumstances.
Will be able to apply the principles of sustainable intellectual development, make holistic innovative engineering solutions, combining cost, quality and reliability.
Personal and social abilities:
Will be able to learn and improve independently, organize and plan their professional activities and work in a team. Will be able to convey professional information, present innovative ideas, express problems and logical ways to solve them.
Will understand holistically the impact of intelligent engineering solutions on society and the environment. Understand the links between the application of artificial intelligence in manufacturing and their economic consequences. Comply with ethical principles, realize the responsibility for its actions.
1. Activities of teaching and learning:
1. Lectures, context exercises, laboratory work, e-learning, course works, course projects, problem-based learning, interactive learning, independent studies, individual consultations, excursions, scientific seminars, complex project.
1. Methods of assessment of learning achievements:
1. Exam, credit, individual and group presentations, mid-term evaluations, final thesis.
1. Framework:
1. Study subjects (modules), practical training:
1. Key study content contains 204 credits out of 240 credits of study programme.
Fundamental knowledge:
Mathematics 1;
Mathematics 2;
Mathematics 3;
Optics and Lasers;
Applied Artificial Intelligence;
Introduction to Engineering; Programming;
Optics and Lasers;
Engineering Materials;
Ultrasound and Waves;
Engineering Mechanics;
Machine Learning (with Course Project)
Procedural Programming;
Robots, Intelligent Automation (with Course Project);
Systems and Devices of Applied Artificial Intelligence
(with Course Project);
Operating Systems;
Automatic Control Systems;
Electrical Engineering;
Systems of Internet of Things for Digital Manufacturing;
General technical knowledge:
Applied Artificial Intelligence;
Operating Systems;
Procedural Programming;
Computer Aided Design;
Design and Analysis of Applied Artificial Intelligence;
Image Recognition Systems;
Engineering Materials;
Systems of Internet of Things for Digital Manufacturing;
Abilities to research:
Engineering Mechanics;
Analysis and Reliability of Technical Solutions;
Decision Support and Agent Technologies;
Engineering Materials;
Optics and Lasers;
Automatic Control Systems;
Robots, Intelligent Automation (with Course Project);
Scanning and Recognition Systems;
Cloud Computing;
Bachelor Thesis 1;
Bachelor Thesis 2;
Bachelor Thesis 3;
Engineering analysis:
Mathematics 1;
Mathematics 2;
Mathematics 3;
Operating systems;
Economic Rationale of Engineering;
Engineering Materials;
Cloud Computing;
Systems of Internet of Things for Digital Manufacturing;
Decision Support and Agent Technologies;
Computer Aided Design;
Procedural Programming;
Bachelor Thesis 1;
Bachelor Thesis 2;
Bachelor Thesis 3;
Engineering design:
Scanning and Recognition Systems;
Professional practice;
Systems of Internet of Things for Digital Manufacturing;
Cloud Computing;
Design and Analysis of Applied Artificial Intelligence;
Computer Aided Design;
Procedural Programming;
Theory of Algorithms;
Digital Automatics (with course project);
Systems of Internet of Things for Digital Manufacturing;
Bachelor Thesis 3
Skills of engineering practice:
Operating Systems;
Human's Safety and Environmental Protection;
Law;
Design, Testing and Production of Prototype of an
Applied Artificial Intelligence;
Decision Support and Agent Technologies;
Ethics;
Electrical Engineering;
Engineering Materials;
Economic Rationale of Engineering Decisions;
Management;
Personal and social abilities:
Applied Artificial Intelligence;
Introduction to Engineering; Programming;
Law;
English Language or
German Language or
French Language;
Specialty English Language or
Specialty German Language or
Specialty French Language;
Personal Finance Management;
Management;
Professional practice;
Automatic Control Systems;
Human's Safety and Environmental Protection;
Ethics;
Economic Rationale of Engineering Decisions;
Cognitive Practice;
Bachelor Thesis 1;
Bachelor Thesis 2;
Bachelor Thesis 3;
1. Specialisations:
1. -
1. Optional courses:
1. It is possible to choose additional internship, additional study subjects of the same field, subjects (modules) of another field and additional general subjects (but not more than 20 credits).
1. Distinctive features of a study programme:
1.
1. Access to professional activity or further study:
1. Access to professional activity:
1. The need for qualified artificial intelligence professionals covers almost all industries, state-owned enterprises and non-profit organizations. There is a particularly high demand for such specialists and excellent career opportunities in the following areas: high-tech industry, intelligent technologies and home automation, autonomous transport, robotics, specialized intellectual production centers and creative workshops, military forces, high-tech research centers and so on.
1. Access to further study:
1. Graduates will have possibilities to continue studies in directly fit or close specialisation master studies. Possible further scientific career in PhD studies.
