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Cognitive Science Cognitive Science

Cognitive Science - PDF document

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Cognitive Science - PPT Presentation

BS Major Academic Director Erik Thiessen BH 342D Undergraduate Coordinator Emilie OLeary BH 339 Website httpswwwcmuedudietrichpsychologyindexhtml The field of cognitive sc ID: 940775

cognitive science major elective science cognitive elective major gened xxx cognition computer semester psychology human complete year seminar 200

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Cognitive Science (BS ) Major Academic Director : Erik Thiessen (BH 342D ) ; Undergraduate Coordinator: Emilie O'Leary (BH 339 ) Website: https://www.cmu.edu/dietrich/psychology/index.html The field of cognitive science has grown out of increasingly active interaction among psychology, linguistics, artificial int elligence, phi losophy, and neuroscience. All of these fields share the goal of understanding intelligence. By combining these diverse perspectives, students of cognitive science are able to underst and cognition at a deep level. Because this major is administered by the Psychology Department, it focuses on human cognition , [its neural underpnnings] and the experimental study of the human mind as illuminated by t he techniques of the above disciplines. The goal is nothing less than to characterize the mechanisms underlyin g human cognition in domains that range from visual, haptic, and auditory perception to problem solving, and that include ima gery, language processing, mathematical re asoning, learning, and memory. Cognitive research draws on a variety of empirical methods , including protocol analysis and eye movement monitoring, in addition to traditional behavioral methods. The theoretical work often involves computer simulation, drawing on both symbolic and connectionists computational approaches. Other on - going cognitive research examines the neural underpinnings of cognition, using functional neuroimaging of normal individ uals and patients with particular deficits performing well - specified cognitive tasks. Research groups frequently interact with other departments with related interests, including researchers in computer science, human computer interaction, and robotics at Carnegie Mellon, and in the neurosciences at the University of Pittsburgh. This is a suggested schedule for the first 2 years for a Primary M ajor . It is also av ailabl e as an Additional Major . The remainder of the Major and GenEd can be completed in the junior and senior year. * If required to start with 21 - 111, complete 21 - 112, then 21 - 256 (or 21 - 122). ** Elective: This space can be used for a pre - requisite course, another GenEd course, major course, or for a course you are interested in. ***Three Supplementary Science courses, beyond the GenEd Modeling: Natural Science requirement, are required; two i n the same science. + Approved su bstitutions for the GenEd 36 - 200 requirement ar e: 36 - 207, 36 - 220, or 36 - 247. ++ or 15 - 150, Principles of Functional Programming, or 15 - 251, Great Theoretical Ideas in Computer Science . Academic Advisory Center ( 6/22/2018 ) 1st semester • Complete 2: First - Year Writing (FYW) 79 - 104, Global Histories 36 - 200, Reasoning with Data+ Freshman Seminar • 99 - 101 or 99 - 102, C@CM • 21 - 120, Diff. & Integral Calculus* • 15 - 110, Principles of Computing • xx - xxx, Elective** 2nd semester • Complete 2: First - Year Writing (FYW) 79 - 104, Global Histories 36 - 200, Reasoning with Data+ Freshman Seminar • 21 - 256, Multiv. Anal. & Approx.* • 15 - 112, Fund. of Programming • xx - xxx, Elective** 3rd semester • GenEd Modeling: Natural Science • 36 - 309, Exp. Des. for Beh. & S. S. • 85 - 211, Cognitive Psychology • 21 - 127, Concepts of Mathematics • xx - xxx, Elective** 4th semester • 85 - 219, BFOB or Adv. Psych Seminar • Supplementary Science*** • 15 - 122, Prin. Impr. Computation ++ • xx - xxx, Elective** • xx - xxx, Elective**