Introduction to MATLAB Programming for Research in Psychological & Brain Sciences

CAS NE 212

  • Quantitative Reasoning I
  • Critical Thinking

Teaches computer programming concepts, core statistical concepts, and related skills via MATLAB. Programming examples that cover four steps of neuroscience research (experiment control; random samples; data analysis; brain process simulation) promote "constructive" understanding of the quantitative reasoning behind decisions based on descriptive and inferential statistics (e.g., confidence intervals, linear regression models, model- specific anovas). Explains numerical integration programs in two settings: probability distributions, and simulations of neural dynamics. Does not count toward the principal courses required for the major or minor. Effective Fall 2018, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning I, Critical Thinking.

FALL 2020 Schedule

Section Instructor Location Schedule Notes
A1 Yazdanbakhsh AGG C205 TR 3:30 pm-4:45 pm Mts w/CAS PS212
Class Closed

FALL 2020 Schedule

Section Instructor Location Schedule Notes
B1 Yazdanbakhsh CAS 226 W 3:35 pm-4:25 pm Mts w/CAS PS212
Class Closed

FALL 2020 Schedule

Section Instructor Location Schedule Notes
B2 Yazdanbakhsh CAS 326 W 4:40 pm-5:30 pm Mts w/CAS PS212
Class Closed

SPRG 2021 Schedule

Section Instructor Location Schedule Notes
A1 Chandrasekar NIP 920 TR 3:30 pm-4:45 pm Mts w/CAS PS212
Prereq: PS101
or NE101 & 1
sem calc or
consent of inst

SPRG 2021 Schedule

Section Instructor Location Schedule Notes
B1 Chandrasekar CAS 326 W 3:35 pm-4:25 pm Mts w/CAS PS212

SPRG 2021 Schedule

Section Instructor Location Schedule Notes
B2 Chandrasekar CAS 326 W 4:40 pm-5:30 pm Mts w/CAS PS212

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.