Sundays 12:00-14:00, Room 402, Bldg #35
This course is intended to give undergraduate students a solid foundation in using Matlab for research purposes. After learning the basics of writing code in Matlab, the course will focus on building simple experiments and performing simple analyses of behavioral and EEG data. The course is taught in a computer lab and students without previous experience are expected to spend at least 1-2 hours every week performing exercises at home. The grade will be based on 10 weekly home work assignments (20%) and a final exam (80%).
Attendance in 80% of the classes and lab sessions is obligatory.
Passing grade is 56.
Omer Birka (firstname.lastname@example.org) is the TAs for the course.
A good way to learn the basics is by following this guide written by Prof. Antonia Hamilton from UCL – PDF
Lesson 1: Basics, vectors, matrices, punctuation, and indexing – Class files
Lesson 2: Basic math, logical operators, basic functions, and basic graphs – Class files
Lesson 3: Basic scripting and flow control – Class files
Lesson 4: Functions and structures – Class files
Lesson 5: Figures – Class files
Lesson 6: Handling files, importing, and exporting – Class files
Lesson 7: Manipulating Images – Class files
Lesson 8: Building a visual experiment – Class files
Lesson 9: Analyzing behavioral data from visual experiment – Class files
Lesson 10: Basic EEG analysis – Class files
Lesson 11: Visual categories EEG experiment – Class files
Lesson 12: Analysis of fMRI data - Class files