Minor in Neural Computation and Engineering
The aim of this interdisciplinary minor at the University of Washington is to provide students with a background in quantitative, mathematical, engineering and computational approaches to problems in neuroscience. The minor includes courses with a mix of computational, analytical and experimental methods that form the core of computational neuroscience and neural engineering. The courses will provide a common core of skills that will enable all students to move forward toward independent research and graduate work in these interconnected fields. Students who would like to declare the minor should consult with academic advisors in their home major departments. Enrollment in the minor is open, and can be declared at any time. We strongly encourage you to reach out to us to with any questions on the requirements. Jessica Huszar is available for advising by appointment.
Please join our mailing list for quarterly updates on course offerings.
Neural Computation and Engineering Minor Requirements
An outline of the minor’s suggested prerequisites and required courses can be viewed here.
Minimum of 30 credits as follows:
- Foundational Courses: complete 1 course from
- AMATH 342 Introduction to Neural Coding and Computation (W)
- BIOEN 460 Neural Engineering (A)
- BIOEN 466 Neural Computation and Engineering Lab (W)
- Neuro/medical ethics
- One course from PHIL 242, CSE 480, BH 311, PHIL 442, BH 444
- Capstone complete 1 course from
- NEUSCI 445 Quantitative Methods in Neuroscience (W)
- BIOEN 461 Neural Engineering Tech Studio (Sp)
- Electives to reach a minimum of 30 credits. See below for updated elective list. Additional electives not on the list can be considered on an individual basis.
- Independent Study/Research: Up to 3 credits of independent study or research may be applied as an elective. These credits must be approved by the student’s home major. Projects must be supervised by a UW faculty member. Students are required to submit a project proposal in advance for approval and a final report. If credits are being applied to the minor retroactively, we will accept a final report. Please reach out to minor advisor for more information.
- Minimum cumulative 2.00 GPA for courses counted toward the minor
- Minimum of 18 credits outside of the student’s major requirements
- Minimum of 15 credits in upper division courses
Electives (to reach 30 credits total)
The electives list is updated annually; however please note some classes may not be offered on a regular basis or may be major-restricted. Please reach out to our advisor if you have questions on electives. Quarterly updates are shared on the student mailing list. Courses not on the list may be approved for minor credit on an individual basis. Taking courses beyond the required number in requirements 1 and 3 may be counted as electives.
| Course | Title |
|---|---|
| BIOEN 463 | Optogenetics |
| BIOL 359 | Quantitative Biology |
| BIOL/PSYCH 408 | Neuroethology |
| BIOL 418 | Biological Clocks and Rhythms |
| BIOL 428 | Sensory Neurophysiology and Ecology Lab |
| BIOL 454 | Somatosensation |
| BIOL 459 | Developmental Neurobiology |
| BIOL 461 | Neurobiology |
| NEUSCI 401 | Systems Neurobiology |
| NEUSCI 402 | Diseases of the Nervous System |
| NEUSCI 403 | Computational Models of Cognitive Systems |
| NEUSCI 404 | Neuropharmacology |
| NEUSCI 440 | Topics in Current Neuroscience Research |
| NEUSCI 450 | Current Research Literature in Neurobiology |
| NEUSCI 490 | Seminar in Computational Neuroscience |
| AMATH 402 | Introduction to Dynamical Systems and Chaos |
| AMATH 422 | Computational Modeling of Biological Systems |
| AMATH 423 | Mathematical Analysis in Biology and Medicine |
| AMATH 481 | Scientific Computing |
| AMATH 482 | Computational Methods for Data Analysis |
| PSYCH 302 | Neuroscience of the Mind |
| PSYCH 400 | Learning |
| PSYCH/BIOL 408 | Neuroethology |
| PSYCH 414 | Cognitive Development |
| PSYCH 417 | Stress, Aging and the Brain |
| PSYCH 420 | Drugs and Behavior |
| PSYCH 421 | Neural Basis of Behavior |
| PSYCH 423 | Programming for Psychology and Neuroscience |
| PSYCH 425 | Computational Psychiatry |
| PSYCH 426 | Neurobiology of Learning and Memory |
| PSYCH 430 | Development of Brain Connections |
| PSYCH 460 | Cognitive Neuroscience |
| PSYCH 472 | Augmented Humanity |
| HCDE 419 | Concepts in Human-Computer Interaction |
| CSE 415 | Introduction to Artificial Intelligence non-majors |
| CSE 416 | Introduction to Machine Learning non-majors |
| CSE 427 | Computational Biology |
| CSE 440 | Intro to Human-Computer Interaction (HCI) |
| CSE 441 | Advanced HCI |
| CSE 446 | Machine Learning |
| CSE 447 | Natural Language Processing |
| CSE 473 | Introduction to Artificial Intelligence |
| CSE 484 | Computer Security |
| CSE 486 | Introduction to Synthetic Biology |
| STAT 416 | Introduction to Machine Learning |
| STAT 435 | Introduction to Statistical Machine Learning |
| EE 423 | Introduction to Synthetic Biology |
| EE 344 | Data-Driven Modeling and Machine Learning |
| EE 345 | Introduction to Foundations of Machine Learning |
| EE 425 | Introduction to Synthetic Biology |
| EE 445 | Fundamentals of Optimization and Machine Learning |
