Computer System Engineering, Automation and Robotics

Study Programme
Computer System Engineering, Automation and Robotics

Degree Programme
First cycle degree programme

Level of qualification
Bachelor of Science in Electrical Engineering and Information Technologies, in Computer System Engineering, Automation and Robotics

Occupational Profiles of Graduates
The ever present increase in production efficiency, quality and optimization, demands a constant exploitation of integrated and advanced automation concepts in both technical and non-technical systems (eco-systems, economic systems, medical systems, etc.). Therefore, the programme strives to insure that engineers graduated through it find a wide variety of employment and advancement opportunities: they will be able to identify, analyze, understand and solve problems in different environments, from industrial plants to non-technical settings. They will be competent to work with modern industrial automation, with supervision, remote control and data acquisition systems, as programmers and hardware or software engineers, in academic institutions and/or research centers, etc.

The Programme Learning Outcomes
Students gain extensive fundamental and practical knowledge from all disciplines in system engineering, control theory, automation and robotics. The acquired knowledge and skills are based on modern scientific knowledge in the fields of automation and robotics, computer information technologies, process control, management, bioengineering, cybernetics in medicine, measurement-process technology, industrial internet of things, etc. Students will gain knowledge of:  presenting, modeling and analyzing the behavior of systems of different natures (not only technical ones), application of methods, techniques and tools for mathematical systems analysis and problem solving using a systemic approach,  comprehension of methods for information processing and data acquisition in the control and automation systems, analysis and synthesis of automatic control systems, robotic systems, artificial intelligence and machine learning systems, intelligent control systems and more,  application of control systems elements (hardware and software modules) for process automation, automation of manufacturing plants, computer-controlled systems, electromechanical systems, and process measurements and actuators, analysis and design of SCADA systems for various industrial processes, computer process control and remote control, work with highly automated robotic systems etc. Using the acquired knowledge, the engineer of this study program will be trained for creative thinking and problem solving, individual and team work, effective communication, decision making and lifelong learning. This is all expected to make them well suited for and competitive in the domestic and the European labor market.

International Accreditation
The first cycle study programs at FEEIT are accredited by the German Accreditation Agency for Study Programmes in Engineering, Informatics, Natural Sciences and Mathematics (ASIIN), which is a world leader in quality assurance in higher education. This accreditation confirms that the study programs satisfies the criteria for Bachelor degree programs specified in EUR-ACE Framework standards for the accreditation of engineering programs and the content studied are relevant to areas covered in study programs.

General Learning Outcomes

Knowledge and understanding	Demonstrate knowledge and understanding in the scientific field of electrical engineering, based on education and training, including knowledge of theoretical, practical, conceptual, comparative, and critical perspectives in the scientific field according to the appropriate methodology.
Application of knowledge and understanding	Demonstrate the ability to apply acquired knowledge and understanding in a professional manner. An ability to identify, analyze and solve complex engineering problems by selecting an appropriate method.
Ability to assess	An ability to collect, analyze, evaluate and present information, ideas, and concepts based on relevant data. Making an appropriate assessment taking into account personal, social, scientific and ethical aspects.
Communication skills	An ability to communicate effectively in both verbal and written forms with professional and non-professional audiences. An ability to work effectively as an individual or as a member of a team taking shared responsibility for collective results. Ability to participate independently, in a professional manner, in regards to scientific and interdisciplinary discussions.
Learning skills	Commitment to the professional development and lifelong learning achieved through higher education, technical training, membership in professional societies, and other activities in order to update already acquired knowledge in the relevant field to achieve continuous professional growth. An ability to acquire and apply new knowledge as needed using appropriate learning strategies.

Specific Learning Outcomes

Knowledge and understanding	Demonstrate knowledge and understanding in the scientific field of electrical engineering, based on education and training, including knowledge of theoretical, practical, conceptual, comparative, and critical perspectives in the scientific field according to the appropriate methodology. Demonstrates knowledge and understanding of research, development, and application of knowledge in computer system engineering, automation and robotics, as well as engineering design in industrial processes. Understanding and knowledge of current issues related to scientific research and new sources of knowledge.
Application of knowledge and understanding	An ability to identify, analyze and solve complex engineering problems. An ability to apply knowledge and understanding in a way that demonstrates professionalism to the relevant field or profession. An ability to identify, analyze and solve problems related to computer system engineering, automation and robotics.
Ability to assess	An ability to collect, analyze, evaluate and present information, ideas and concepts from relevant data. Making an appropriate assessment taking into account personal, social, scientific and ethical aspects. An ability to provide answers to both theoretical and practical issues, in order to give explanations and choose the appropriate solution. An ability to collect, analyze, evaluate and present information, ideas and concepts from relevant data in the field of computer system engineering, automation and robotics.
Communication skills	An ability to communicate effectively in both verbal and written forms with professional and non-professional audiences. An ability to work effectively as an individual or as a member of a team taking shared responsibility for collective results. An ability to participate independently and professionally in specific, scientific and interdisciplinary discussions.
Learning skills	Commitment to professional development and lifelong learning through higher education, technical training, membership in professional societies, and other activities in order to update already acquired knowledge in the field and to achieve continuous professional growth. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. Demonstrate a high degree of independence initiative for learning and professional development. Understanding the need for learning and ability for continuous professional development, through the use of professional and scientific literature, professional training, continuing formal education, membership in professional organizations, etc. Awareness of new technologies and the ability to evaluate and use modern software development tools. An ability to use information technologies for distance and e-learning. Skills for cooperative, competitive and individual learning. Applying active teaching and learning techniques.

Semester 1
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ08З009	Mathematics 1	7	3+3+0+0
3ФЕИТ08З016	Physics 1	7	3+2+1+0
3ФЕИТ06З005	Fundamentals of Electrical Engineering	7	4+3+0+0
3ФЕИТ07З027	Programming and Algorithms	6	2+2+2+0
	Elective course – Foreign Language	3
Elective courses
Code	Title	ECTS	No of classes per week
3ФЕИТ123006	German	3	2+1+0+0
3ФЕИТ123017	French	3	2+1+0+0
3ФЕИТ123003	English	3	2+1+0+0
3ФЕИТ123015	Russian	3	2+1+0+0

Semester 2
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ08Л010	Mathematics 2	7	3+3+0+0
3ФЕИТ08Л017	Physics 2	7	3+2+1+0
3ФЕИТ06Л004	Fundamentals of Electric Circuits	7	3+2+1+0
	Sport	0	0+2
	Elective course 1	6
	Elective course 2	3
Elective course 1
Code	Title	ECTS	No of classes per week
3ФЕИТ07Л004	Libraries and Programming	6	2+2+2+0
3ФЕИТ07Л025	Data Structures and Programming	6	2+2+2+0
Elective course 2
Code	Title	ECTS	No of classes per week
3ФЕИТ11Л001	Practicum on Matlab	3	0+1+2+0
3ФЕИТ03Л002	Electrical Materials	3	2+0+1+0

Semester 3
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ08З011	Mathematics 3	6	3+3+0+0
3ФЕИТ03З005	Measurements in Electrical Engineering	6	3+1+1+0
3ФЕИТ053035	Signals and Systems	6	3+2+0+0
3ФЕИТ01З023	Systems Thinking	6	2+2+1+0
Elective course
Elective course 1
Code	Title	ECTS	No of classes per week
3ФЕИТ05З018	Electronics	6	3+1+1+0
3ФЕИТ05З019	Electronics 1	6	3+1+1+0

Semester 4
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ05Л010	Digital and Industrial Electronics	6	3+1+1+0
3ФЕИТ05Л015	Electromagnetics	6	3+2+0+0
3ФЕИТ07Л010	Computer Architectures	6	2+2+1+0
3ФЕИТ01Л021	Automatic Control 1	6	2+2+1+0
	Elective course 1	3
	Elective course 2	3
Elective course 1 & 2
Code	Title	ECTS	No of classes per week
3ФЕИТ08Л001	Probability	3	2+1+0+0
3ФЕИТ08Л003	Discrete Mathematics 1	3	2+1+0+0
3ФЕИТ08Л008	Complex Analysis	3	2+1+0+0
3ФЕИТ08Л012	Numerical Methods	3	2+0+1+0

Semester 5
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ01З005	Elements of Automation and Robotics	6	2+2+1+0
3ФЕИТ01З022	Automatic Control 2	6	2+2+1+0
	Elective course 1	6
	Elective course 2	6
	Elective course 3	6
Elective course 1
Code	Title	ECTS	No of classes per week
3ФЕИТ10З009	Introduction to Telecommunications	6	3+1+1+0
3ФЕИТ10З020	Communication Technologies	6	3+1+1+0
Elective course 2
Code	Title	ECTS	No of classes per week
3ФЕИТ09З004	Intorduction to Power Systems	6	3+2+0+0
3ФЕИТ02З009	Electric Power Devices	6	3+1+1+0
3ФЕИТ04З017	Fundamentals of Energetics	6	3+2+0+0
Elective course 3
Code	Title	ECTS	No of classes per week
3ФЕИТ01З003	Descrete-Event Systems	6	2+2+1+0
3ФЕИТ01З014	Introduction to Artificial Intelligence	6	2+2+1+0

Semester 6
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ01Л007	Computer Process Control	6	2+2+1+0
3ФЕИТ01Л010	Мodeling, Simulation and Identification	6	2+2+1+0
3ФЕИТ01Л018	Robotics 1	6	2+2+1+0
	Elective course 1	6
	Elective course 2	6
Elective course 1 & 2
Code	Title	ECTS	No of classes per week
3ФЕИТ12Л008	Industrial Communication Networks	6	3+1+1+0
3ФЕИТ01Л006	Inteligent Control Systems	6	2+2+1+0
3ФЕИТ07Л016	Microprocessor Systems	6	2+2+1+0
3ФЕИТ07Л018	Data Modeling and Database Systems	6	2+2+1+0
3ФЕИТ01Л016	Design of Security Systems	6	2+2+1+0

Semester 7
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ01З011	Nonlinear Control Systems	6	2+2+1+0
3ФЕИТ01З015	Programmable Logic Controllers	6	2+2+1+0
3ФЕИТ01З017	Control Systems Design	6	2+2+1+0
	Elective course 1	6
	Elective course 2	6
Elective course 1 & 2
Code	Title	ECTS	No of classes per week
3ФЕИТ01З001	Production Plants Automation	6	2+2+1+0
3ФЕИТ01З002	Power Plant Control and Automation	6	2+2+1+0
3ФЕИТ01З008	Machine Learning	6	2+2+1+0
3ФЕИТ03З011	Process Measurements	6	3+1+1+0
3ФЕИТ01З019	Robotics 2	6	2+2+1+0

Semester 8
Mandatory courses
Code	Title	ECTS	No of classes per week
3ФЕИТ12Л007	Final Thesis	9
3ФЕИТ12Л016	Internship	3
	Elective course 1	6
	Elective course 2	6
	Elective course 3	3
	Elective course 4	3
Elective course 1 & 2
Code	Title	ECTS	No of classes per week
3ФЕИТ01Л004	Distributed Control Systems and SCADA	6	2+2+1+0
3ФЕИТ05Л023	Machine Vision	6	3+1+1+0
3ФЕИТ01Л009	Mobile Robotics	6	2+2+1+0
3ФЕИТ01Л012	Operations Research	6	2+2+1+0
3ФЕИТ01Л013	Optimal Controllers and Observers	6	2+2+1+0
Elective course 3 & 4
Code	Title	ECTS	No of classes per week
3ФЕИТ09Л008	Economic Assessment of Investments	3	2+1+0+0
3ФЕИТ04Л010	Communication Skills	3	2+1+0+0
3ФЕИТ11Л002	Entrepreneurship	3	2+1+0+0
3ФЕИТ03Л009	Principles of Quality Management	3	2+1+0+0
3ФЕИТ04Л020	Project Management and Ethics in Engineering	3	2+1+0+0
3ФЕИТ09Л021	Regulation in Electricity Sector	3	2+1+0+0
3ФЕИТ08Л015	Technological Innovations	3	2+1+0+0