Courseworks:
- Introduction of students to problem solving
- Introduction of students to the research process
- Study of literature, documentation of problem requirements/objectives
- Selection and combination of theoretical methods and technological tools
- Development of critical thinking for comprehensive problem-solving
- Validation of the proposed solution
Master's Thesis (M.Sc. Dissertation):
- Individual, original, and research-oriented
- Option to appoint an industrial advisor (an industry or technical company executive in fields related to the Master's program), who will assist the academic supervisor by providing industrial insights, data, and expertise in production
- The assignment, elaboration, and examination of the Master's thesis are governed by the applicable regulations of NKUA and the internal rules of the Master's Program
Successful completion of the Master's program grants graduates the right to pursue a Ph.D. degree in higher education institutions
Ph.D. Program of the Department of Digital Industry Technologies
Research Areas of the Master's Program
- Design of automatic control systems, including robust, supervisory, adaptive, hybrid, hierarchical, and distributed control, using algebraic, geometric, nonlinear methods, optimization methods, and artificial intelligence methods.
- Study of systems, including system modeling, parameter estimation, state estimation, fault diagnosis, and system reliability.
- Automation methodologies and applications in discrete event systems, Petri nets, and state machines.
- Applications of all the above, with particular emphasis on control in industrial and other processes and operations, control of networked systems, control of rotary and wheeled vehicles and airplanes, traffic systems, economic systems, power systems, agricultural applications, pollution control and environmental protection, and natural resource management.
- Intelligent devices and measurements, communication systems, human-machine interaction, automation software environments, automatic knowledge management, computer-aided design, computer-aided manufacturing, industrial sensors, motion sensors, optical and other sensory systems, software sensors, integrated sensor systems, machine vision, mechatronics, controlled electromechanical, hydraulic, and pneumatic actuators.
- Analysis and design of interactions in cyber-physical industrial and urban systems, design of detection, identification, and tolerance systems for cyber-physical attacks.
- Kinematics, dynamics, control, trajectory design, and simulation of robots, intelligent machines and systems, manipulation design, robotic mechanism design, robotic project programming, and computational issues in robotics and automation.
- Applications of robots in assembly, load transportation, teleoperated robots, mobile robots, locomotion with robotic legs, micro-robots, modular and collaborative robots.
- Robotics and automation in manufacturing and loosely structured environments, such as services, cultural heritage management, medical applications, construction, intelligent vehicles, and intelligent traffic systems.
- Robotic topics related to computer architecture and software development, advanced programming languages, software environments, and databases.
- 3D Printing and Scanning Systems.