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Spring 2017

 

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Biology (BI)
77 Klamath, 541-346-4502
College of Arts & Sciences
a - Labs/Dis begin the first week of class
Course Data
  BI 199   Sp St Brain Intel Mach 4.00 cr.
Repeatable.
Grading Options: Optional for all students
See CRN for CommentsPrereqs/Comments: cancelled 3/17/17 SS
 
  CRN Avail Max Time Day Location Instructor Notes

Lecture

35845 cancelled 1600-1720 mw   tba !
Academic Deadlines
Deadline     Last day to:
April 2:   Process a complete drop (100% refund, no W recorded)
April 9:   Drop this course (100% refund, no W recorded)
April 9:   Process a complete drop (90% refund, no W recorded)
April 10:   Drop this course (75% refund, no W recorded; after this date, W's are recorded)
April 10:   Process a complete drop (75% refund, no W recorded; after this date, W's are recorded)
April 12:   Add this course
April 12:   Last day to change to or from audit
April 16:   Withdraw from this course (75% refund, W recorded)
April 23:   Withdraw from this course (50% refund, W recorded)
April 30:   Withdraw from this course (25% refund, W recorded)
May 21:   Withdraw from this course (0% refund, W recorded)
May 21:   Change grading option for this course
Caution You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 364 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day.

Expanded Course Description
A course for non-science majors to include the concepts necessary to understand how the brain acquires information and drives behavior, as well as how scientists and engineers attempt to replicate these abilities in computers and artificial intelligence systems. The course will introduce students to the process of scientific reasoning, and discuss methodologies used by scientists to gain knowledge about the neural processes behind leaning, memory, decision-making and thinking. The course will also illustrate parallels between how the brain and computers process information and perform computations.
Readings and videos before class will provide background information. The main concepts and skills will be learned through in-class activities in which students play the role of scientists and engineers solving problems about the brain. In the last part of the course students will discuss the implications to society of intelligent machines and technologies for interfacing brains and machines.
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Release: 8.8.2