Computational Neuroscience Sequence
Faculty Mentors
- Professor Gautam Agarwal (DNS)
- Professor Michael Spezio (SCR)
- Professor Sarah Marzen (DNS)
- Professor Darin Brown (PIT)
Recommended Common Core Electives
Choose four from at least three categories
- Mathematics: MATH 032, or an approved equivalent course
- General Physics: PHYS 030L KS, PHYS 031L KS, PHYS 033L KS, PHYS 034L KS, or an approved equivalent course
- Computer/Data Science or Programming Course: for example, CS 4 SC, CS 5 HM, MATH 42 SC, NEUR 099, or an approved equivalent coruse
- Statistics: BIOL 175 KS or PSYC 103 SC, PSYC 091 PZ, PSYC 109 CM, or an approved equivalent course
Sequence Courses
Four with a two-semester senior thesis, five with a one-semester thesis
Students should work with their academic advisers and/or Prof Borowski to select a set of cohesive courses relevant to their interests and career / professional goals.
- Computational Neuroscience (NEUR 133L KS)
- Data Structures (CSCI 062 CM)
- Artificial Intelligence (CSCI 151 PO)
- Neural Networks (CSCI 152 PO)
- Machine Learning (CSCI 158 PZ)
- Computational Partial Differential Equations (PHYS 105 KS)
- Programming for Science and Engineering (PHYS 108 KS)
- Introduction to MATLAB (PSYC 096 PZ)
- Linear Algebra (MATH 060 PZ, SC)
- Differential Equations (MATH 111 CM, SC) with modeling (MATH 102 PZ, SC)
- Computational Psychiatry (NEUR 184 SC)
- Neuroimaging with fMRI (NEUR 118 PO)
- Mathematical Methods and Models in Neuroscience (NEUR 189A PO)
- Genomics and Bioinformatics (BIOL 156L KS)
- Advanced Data Analytics (BIOL 112 KS)
- Computational Biology (BIOL 188 HM)
- Genomics and Bioinformatics Laboratory (BIOL 173 PO)
- Biophysics (PHYS 178L KS)