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Neurotechnology
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Summary of the Profile
General Description:
Objective(s) of a study programme:
to prepare highly qualified specialists capable to apply knowledge from the fields like mathematics, biophysics, informatics, engineering and neurosciencies in application and development of various new information system technologies for efficient registration, processing and analysis of neurophysiological signals, and in development of new embedded systems, information and other technologies based on principles of functioning of nervous system.
Learning outcomes:
1. To apply calculus and natural sciences knowledge in development of neurotechnologies.
2. To acquire basic technological skills in procedural and object oriented programming and to be able apply them in solving of various applied tasks, including neurotechnologies.
3. To apply knowledge from mathematics, statistics, informatics and programming for processing of neurophysiological signals.
4. Based on principles of nervous system functioning to have general knowledge for development of computer-based models for manipulation and control of various devises and robots.
5. To systemize principles of human or brain – computer interfaces, necessary for development of technologies for biofeedback, registration of neurophysiological signals, virtual and augmented reality.
6. To be able to find our professional information from data bases and other information sources.
7. To use various technological and information-based equipment to register neurophysiological signals and concluding on states of objects under investigation.
8. To be able to develop products and services for various applications in the fields like informatics, electronics, biotechnologies, medicine, entertainment and neurotechnologies.
9. To apply combined knowledge from neurosciences, informatics and technologies for development of new Information Technology products: automated systems, model of neuronal networks, software, interactive computer games, etc.
10. To link and integrate theoretical and practical knowledge from mathematics, biophysics, neurosciences, other natural sciences during communication and collaboration in interdisciplinary groups and public.
11. To be able to systemically, critically, and creatively solve complex problems of development and modeling neurotechnologies.
12. To be able to adapt to constant changes in professional activities.
13. To understand influence of technology and engineering decisions for society and environment, to appreciate responsibility of technological activities
14. To be able working individually and in groups.
15. To be able to plan individually own study process.
Activities of teaching and learning:
Explanations and illustrations by using visual material; accomplishing practical and laboratory works, analysis of literature, discussions.
Methods of assessment of learning achievements:
Paper examination, survey and evaluation of accomplishment of practical and laboratory works, individual works analysis and evaluation; Evaluation of public presentation and defense of term paper, introductory and profficiency practices, final Bachelor thesis in Neurotechnologies.
Framework:
Study subjects (modules), practical training:
Calculus 1
Programming fundamentals
General Biology
Computer Drawing
Comparative Animal Anatomy and Physiology
Calculus II
Object oriented programming
Mechanics and molecular physics (PHYSICS I)
Physics II (electromagnetism and optics)
General chemistry
Basic Biophysics
Human Physiology
Probability theory and mathematical statistics
Digital signal processing
Neurobiology
Algorithm design and analysis
Cognitive and emotion Psychology
Engineering Mechanics
Machine Learning
Neurophysiology of sensory systems
Biophysics II
Neural networks
Methods and technologies for investigation of nervous system
General engineering and electronics
Multimedia technologies
Neuroinformatics
Embedded systms
Application of Neurothechnologies to Psychological Self-regulation
Electrophysiology
Term paper
Neurobiology of Animal Behaviour
Neurotechnology in medicine
Robotics and neurotechnologies
Introductory Practice
Profficiency practice
Bachelor thesis in Neurotechnologies
Specialisations:
Optional courses:
Organic and Bioorganic Chemistry
Ordinary and partial differential equations
Biochemistry
Software Engineering Basics
General genetics
Databases and Internet technology
Cell Biology
Augmented reality technologies
A, B and D group courses of the Vytautas Magnus University, in overall 28 credits.
Distinctive features of a study programme:
Access to professional activity or further study:
Access to professional activity:
Since study program Neurotechnology is multidisciplinary, program graduates will be able to find directly their way in a wide job market encompassing neurotechnologies, information technologies, biotechnologies, medicine and social sciences oriented enterprises (neuromarketing, neuroeconomics, etc.).Moreover, indirectly graduates of the program will be able to work in these fields related various research laboratories and projects.
More specifically graduates of Neurotechnology program will be able:
• To work in enterprises and organizations developing products and services in information, electronics, biotechnology, medicine and other neurotechnologies related areas.
• To work bioengineering, neurosciencies, neuroinformatics laboratories developing programming tools, rehabilitation means and devices.
• To work in enterprises developing human-computer based technologies related to biofeedback, neurophysiology signals registration, processing and implementation, virtual and augmented reality, etc.
Access to further study:
After graduation of Neurotechnology study program, graduates will be able to continue studies in master programs related to biotechnologies, information technologies in Vytautas Magnus University, or other universities in Lithuania or abroad.
