Professor Golden's current research interests are focused in two areas. First, the mathematical analysis, development, and application of statistical machine learning algorithms for the purpose of advancing mathematical theory in the Behavioral and Brain Sciences. And second, the development and evaluation of formal theories of human text and human event comprehension.
Students interested in learning more about the Masters Program in Applied Cognition and Neuroscience at the University of Texas at Dallas should watch Dr. Golden's video presentation . This video is also highly recommended for students who are in the process of deciding whether they should pursue either a masters program or doctoral program in any field.
Please note that this video was recorded several years ago, so some of the contact information is out-dated. Professor James Bartlett is the current Program Head of the PhD Program. Also it is important to emphasize that admission to the PhD Program in Cognition and Neuroscience is highly competitive. Acceptance into the Masters Program in Applied Cognition and Neuroscience does not entail acceptance into the PhD Program in Cognition and Neuroscience. This was not emphasized in the video.
In addition, the video does not mention the opportunity for students in the Masters Program in Applied Cognition and Neuroscience to pursue a career in the area of Intraoperative Neurophysiological Monitoring. This specialization area was added after the video was completed.
Both undergraduate Cognitive Science majors and graduate students in Applied Cognition and Neuroscience will also find the Introduction to Cognitive Science Presentation useful. Additional information about undergrad and grad career opportunities may be found in the current undergraduate Cognitive Science course catalog description and current graduate Applied Cognition and Neuroscience course catalog description .
Both cognitive science undergraduates and applied cognition and neuroscience graduate students can learn more about career opportunities in the areas of usability engineering , Nielsen Norman Group: UX Research, Training, and Consulting and user experience by visiting websites such as usability.com and the BIG design conference . The following links will be helpful for exploring neuroscience career opportunities and psychology career opportunities.
Masters students interested in machine learning are encouraged to check out the following machine learning software development resources guide and become familiar with 1 or more machine learning development tools.
For Masters Students in Applied Cognition and Neuroscience, the following Cognition and Neuroscience Handouts and Forms should also be helpful.
Finally, to apply to either the Undergraduate Program in Cognitive Science or the Masters Program in Applied Cognition and Neuroscience, please click on the undergraduate and graduate student admissions link .
Richard Golden obtained the Bachelor of Science degree in Electrical Engineering and Experimental Psychology from the University of California of San Diego in 1982. He received the Master of Science degree in Electrical Engineering from Brown University in 1986, and Ph.D. in Experimental Psychology from Brown University in 1987. Dr. Golden was an Andrew Mellon Fellow at the University of Pittsburgh from 1987-1988, and an NIH Post-doctoral Scholar at Stanford University from 1988-1990.
Professor Golden was a member of the Editorial Board of the Journal of Mathematical Psychology from 1996-2011. He was a member of the Editorial Board of Neural Processing Letters from 1999-2004, a member of the Editorial Board of the International Journal of Applied Intelligence from 2001-2004, and a member of the Editorial Board of the journal Neural Networks, from 1995-2006. Professor Golden is the Secretary-Treasurer of the Society for Mathematical Psychology, and an IEEE Senior Member affiliated with the IEEE Computational Intelligence Society. Professor Golden is additionally a member of the Society for Text and Discourse and the Cognitive Science Society.
In alternating years, Professor Golden teaches an introductory course in computational neuroscience using Tom Trappenberg's book Fundamentals of Computational Neuroscience, and an advanced statistical machine learning course sequence based on Professor Golden's new book Statistical Machine Learning: A Unified Framework which will be eventually published by CRC Press in the Texts in Statistical Science Series.
Professor Golden also teaches graduate courses in the areas of text comprehension, probabilistic models of natural language understanding, and an undergraduate course in scientific research and technical writing.
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