Professional Certificate in Neuroergonomics Research
-- ViewingNowThe Professional Certificate in Neuroergonomics Research is a comprehensive course that bridges the gap between neuroscience and human factors. This program highlights the importance of understanding the brain and its functions in designing efficient and safe systems, products, and work environments.
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โข Introduction to Neuroergonomics: Understanding the interdisciplinary field of neuroergonomics, its history, and its significance in optimizing human-system interaction.
โข Neural Basis of Human Performance: Exploring the neural mechanisms underlying human cognitive, perceptual, and motor functions in real-world settings.
โข neuroimaging Techniques: Investigating the application of various neuroimaging tools, including fMRI, EEG, and NIRS, for neuroergonomics research.
โข Physiological Measures in Neuroergonomics: Examining the use of psychophysiological measures, such as heart rate variability, skin conductance, and eye tracking, to assess human-system interaction.
โข Neuroergonomics Data Analysis: Learning statistical and computational methods for analyzing neuroergonomics data and interpreting findings.
โข Designing Neuroergonomics Experiments: Understanding experimental design principles, including control of variables, participant recruitment, and ethical considerations.
โข Neurotechnology for Enhancing Human Performance: Investigating the potential of neurotechnological interventions, such as neurofeedback and transcranial direct current stimulation, to improve human performance.
โข Real-world Applications of Neuroergonomics: Exploring the practical applications of neuroergonomics research in various domains, including transportation, healthcare, and military.
โข Neuroergonomics Ethics: Examining the ethical considerations surrounding neuroergonomics research, such as privacy, autonomy, and informed consent.
โข Advanced Topics in Neuroergonomics: Delving into contemporary issues and future directions in neuroergonomics research, including the role of artificial intelligence and machine learning in the field.
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