Introduction to Data Science (4) Concepts of data and its role in science will be introduced, as well as the ideas behind data-mining, text-mining, machine learning, and graph theory, and how scientists and companies are leveraging those methods to uncover new insights into human cognition.ĬOGS 18. The course will provide the students with first-person, hands-on experience programming a web crawler and simple physical robots.ĬOGS 9. Hands-on Computing (4) Introductory-level course that will give students insight into the fundamental concepts of algorithmic thinking and design. Recommended Machine Learning and Neural Computation CoursesĬOGS 8. Research: Computational neurobiology the representation, transformation, and storage of information in the nervous system. Research: Cognitive neuroscience, neuropsychology, neuroimaging, visual perception, attention, multisensory integration, biological motion, social neuroscience, language comprehension, human-machine interaction, social robotics. Associate Professor, SSRB 202-20, 85, website. Research: Human-computer interaction, design, online learning, computing education, programmer productivity.Īyse P. Research: Decision making, attention, active vision, learning, neuromodulation, Bayesian modeling, control theory. Associate Professor, CSB 157, 85, website. Oscillatory network communication, automated science, data-mining, aging, attention, working memory, cognitive brain-computer interfaces, brain/cognition/society interactions.Īngela J. Associate Professor, CSB 169, 85, website. Research: Computer vision, machine learning, deep learning, neural computation, neuro imaging.īradley Voytek. Associate Professor, SSRB 250, 85, website. Research: Computational analysis of large-scale neural data, electrophysiology of sleep and general anesthesia, computational epigenomics in brain cells. Assistant Professor, SSRB 255, 85, website. How we learn predictive representations of the world and how we simulate the future when making a decision.Įran Mukamel. Research: Reinforcement learning, planning, memory, network neuroscience, computational neuroscience, probabilistic inference. Research: Using machine learning to extract knowledge from complex biological datasets. Assistant Teaching Professor, CSB 257, website. Research: We use computational modeling, psychophysics studies, and machine learning to learn more about visual and multi-sensory perception.
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