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NEU 365P NEU 365P. Programming and Data Analysis for Modern Neuroscience. 3 Hours.
Explore the basics of programming, statistics, and machine learning, and apply these techniques to the analysis of data from neuroscience experiments. Three lecture hours a week for one semester. Neuroscience 337 (Topic 4) and 365P may not both be counted. Prerequisite: Neuroscience 335 with a grade of at least C-.
Neuroscience
Undergraduate
Mathematics: Mathematics 408C , or 408N or 408R and 408S Statistics and Data Sciences 320E Primary science: Biology 206L and one of the following sequences: Biology 311C , 311D , 325 Biology 315H and 325H Neuroscience 330 Neuroscience 335 Neuroscience 340 Twelve additional semester hours of neuroscience, chosen from: BIO 353S , BIO 359K , BIO 367C , Neuroscience 170C , 270C , 337 , 365D , 365L , 365N , 365P , 365T , 365V 365W , 366C , 366D , 366E , 366L , 366N , 366P , 366S , 367F , 367S , 367V , 367W , 371M , 377 , 379H , 466G , and 466M . The research topic in Neuroscience 379H must relate to neuroscience and be approved in advance by the faculty advisor. Secondary science: Chemistry 301 or 301C , 302 or 302C , and 204 One of the following physics sequences: Physics 317K , 105M , 317L , 105N Physics 303K , 105M , 303L , 105N Physics 301 , 101L , 316 , 116L