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. Also listed as CAS PS 212. Effective Fall 2018, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning I, Critical Thinking.

FALL 2019 Schedule

Section Instructor Location Schedule Notes
A1 Yazdanbakhsh KCB 107 TR 3:30 pm-4:45 pm Mts w/CAS PS212
Class Closed

FALL 2019 Schedule

Section Instructor Location Schedule Notes
B1 Yazdanbakhsh CAS 426 W 3:35 pm-4:25 pm Mts w/CAS PS212
Class Closed

FALL 2019 Schedule

Section Instructor Location Schedule Notes
B2 Yazdanbakhsh CAS 426 W 4:40 pm-5:30 pm Mts w/CAS PS212
Class Closed

SPRG 2020 Schedule

Section Instructor Location Schedule Notes
A1 Chandrasekar SCI 117 TR 3:30 pm-4:45 pm Mts w/CAS PS212
Prereq: PS101
or NE101 & 1
sem calc or
consent of inst
Class Full

SPRG 2020 Schedule

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

SPRG 2020 Schedule

Section Instructor Location Schedule Notes
B2 Chandrasekar CAS 226 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.