This graduate course covers computer programming methods that are useful for running experiments and analyzing data in experimental psychology. Students will learn Python, a general-purpose programming language. Topics include basic programming methods and data structures, data files, curve fitting, device calibration, data visualization, statistical tests, model simulations, and interfacing to external devices.
This graduate course covers computer programming methods that are useful for running experiments and analyzing data in experimental psychology. Students will learn Python, a general-purpose programming language. Topics include basic programming methods and data structures, data files, curve fitting, device calibration, data visualization, statistical tests, model simulations, and interfacing to external devices.
