03-204: Information, Entropy, and Noise in the Brain -Department of Biological Sciences - Carnegie Mellon University

03-204: Information, Entropy, and Noise in the Brain

This course will introduce students with interest and some background in quantitative disciplines such as physics and mathematics to ideas about information theory, noise and coding in the nervous system. This course will bring together students from biology and non-biology backgrounds to explore these topics, however, no background in biology or neuroscience will be assumed. The course will start by reviewing the concept of entropy (which students will have discussed in their previous physics course) and describing the relationship between entropy and Shannon information. Students will be asked to calculate entropy and information for some standard examples, including examples of binary codes.

Fall/Spring: Mini Session – 6 units
Prerequisites: 21-120 and (33-111, 33-106 or 33-131)