Automatic Control and Applied Informatics (in Romanian)
The Bachelor’s degree program Automatic Control and Applied Informatics is part of Systems Engineering, an interdisciplinary field of science and technology, aimed at developing and implementing system design, equipment, control systems and communications for process control in various sectors of activity: scientific, technical and economic.
Automatic Control and Applied Informatics provides basic training for future automation engineers by transmitting knowledge and developing skills that enable them to achieve:
- process analysis, identification and modeling for automatic control integrated solutions design;
- hardware and software implementation of control algorithms;
- software applications design and implementation for solving specific tasks in various fields.
Year 1
| 1st semester | 2nd semester |
|---|---|
| Linear Algebra and Analytic Geometry | Computer Programming I |
| Calculus | Electronic Circuits I |
| Fundamentals of Computer Programming | Differential Equations and Operational Calculus |
| Physics | Fundamentals of Electrical Engineering |
| Computational Logic | Mechanics |
| Technical Drawing and Computer Aided Graphics | Economic, Scientific and Cultural Politics of the European Union |
| Physical Training | Economics |
| Physical Training |
Year 2
| 1st semester | 2nd semester |
|---|---|
| Analysis and Synthesis of Digital Devices | Fundamentals of Feedback Control |
| Programare II | Data Structures and Algorithms |
| Advanced Mathematics | Automata and Microprogramming |
| Applied Numerical Calculus | Optimization Techniques |
| Electronic Circuits II | Electrical Machines and Drive Systems |
| Modeling of Physical Systems | Statistics and Data Processing |
| Measurements and Instrumentation | Database Systems |
| The English Language | The English Language |
| Physical Training |
Year 3
| 1st semester | 2nd semester |
|---|---|
| Compulsory | Compulsory |
| Systems Theory I | Discrete Event Systems |
| Microprocessor Based Systems | Systems Identification |
| Sampled Data Control Systems | Computer Architectures |
| The English Language | Microprocessor Based Systems – project work |
| Electives (AC) | Management |
| Sensors and Transducers | The English Language |
| Hydraulic and Pneumatic Control Systems | Practical Training - 3 weeks |
| Equipments and Control System Architectures | Electives (AC) |
| Electives (AI) | Robotics |
| Platform Independent Programming | Systems Theory II |
| Software Engineerin | Sampled Data Control Systems – project work |
| Equipments and Control System Architectures – project work | |
| Electives (AI) | |
| Digital Signal Processors | |
| Platform Independent Programming – project work |
Year 4
| 1st semester | 2nd semester |
|---|---|
| Compulsory | Compulsory |
| Control Engineering | Communications for Control Systems |
| Data Transmission – Process Remote Control | Research - Designing Activity |
| Real-Time Application Programming | Electives (AC) |
| Bachelor Thesis Preparation | Computer Aided Manufacturing |
| Electives (AC) | Adaptive and Robust Control |
| Robot Control Systems | Control Engineering – project work |
| Computer Vision | Electives (AI) |
| Technological Process Control | Neural Networks and Fuzzy Logic |
| Electives (AI) | Distributed Artificial Intelligence Systems |
| Computer Networks | Internet Applications |
| Knowledge Based Systems | Real-Time Application Programming – project work |
| Queuing Systems and Applications | Knowledge Based Systems – project work |
Mode of study – full-time
Curriculum for bachelor studies in Automatic Control and Applied Informatics 2018-2022
Learning outcomes (as in the diploma supplement)
Professional outcomes
- Use of knowledge from fundamental and technical sciences within the field of system engineering.
- Operation with computer science and information technology and communications concepts / techniques.
- Use of automatic control fundamentals, methods of modeling, simulation, identification and analysis of processes and computer-aided design techniques.
- Design, implementation, testing and exploitation of hardware and/or software supports for control and industrial informatics applications.
- Application development and implementation of algorithms and automated management structures, using the principles of project management, programming environments and technologies based on microcontrollers, signal processors, programmable logic controllers, embedded systems.
- Applying knowledge of law, economics, marketing, and quality assurance business in economic and managerial contexts.
- Integration of knowledge and techniques of automatic control, information processing and communication in network control systems.
Transversal outcomes
- Applying the code of ethics principles, norms and values in their rigorous, effective and accountable work strategy in the context of compliance with the legislation and the intellectual property rights.
- Identifying roles / functions of management in a multi-specialized team, and managing relationships and effective work within the team.
- Identifying training opportunities and efficient use of resources and learning techniques for their own development.