Master of Engineering Automation Technology Master of Engineering

  • Slides: 7
Download presentation
Master of Engineering Automation Technology

Master of Engineering Automation Technology

Master of Engineering Automation Technology Jonas Waller, 28. 03. 2017 § 60 ECTS. Can

Master of Engineering Automation Technology Jonas Waller, 28. 03. 2017 § 60 ECTS. Can be done in one (full-time) or two (part-time) years. § Theme: Innovative and modern control, digitalization and automation. § Pedagogy based on a network of experts and students working together with focus on project work and acknowledging the CDIO concept.

Main points, Masters degree (HYH) § Specialized focus rotating annually. § Supervisory systems and

Main points, Masters degree (HYH) § Specialized focus rotating annually. § Supervisory systems and automation (2017) § Robotics, decision and control (2018) § Smart buildings (2019)

Thesis work, research projects Interaction industry Annual adaptation Industry, society, evolution … Smart Buildings

Thesis work, research projects Interaction industry Annual adaptation Industry, society, evolution … Smart Buildings Robotics and control Interaction Academic Universities Evaluation interaction Supervisory systems and automation Common advanced professional studies B. Sc. /Eng. /Tech. Various backgrounds

Common advanced professional studies (10 ECTS) § Master´s thesis (30 ECTS) § Dynamic Systems

Common advanced professional studies (10 ECTS) § Master´s thesis (30 ECTS) § Dynamic Systems (5 ECTS) § Scientific articles and writing, 1 ECTS § Systems thinking, 2 ECTS § Dynamic systems, modeling, identification, optimization and feedback control, 2 ECTS § Development of Control Systems (5 ECTS) § Research methodology, 1 ECTS § Product development and projects, 2 ECTS § Supervision, data acquisition, communication and control, 2 ECTS

Specific advanced professional studies (20 ECTS) § Linear and Nonlinear System Identification (5 ECTS)

Specific advanced professional studies (20 ECTS) § Linear and Nonlinear System Identification (5 ECTS) § System identification, Machine learning, Big Data § Multivariable Control (5 ECTS) § MPC, Control structures § Supervisory Systems (10 ECTS) § Fault Detection, data-driven and, model-driven § Data security, Interface design, Usability, Decision making § Resource (Energy) management § Energy storage § Courses in detail

APPLY TO NOVIA UAS 15. 3– 5. 4. 2017

APPLY TO NOVIA UAS 15. 3– 5. 4. 2017