Lecture, three hours. Recommended preparation: one term of graduate level statistics, biostatistics. Students master fundamentals of electroencephalograph (EEG), including understanding of neural origins of EEG signals, principles of data recording, standard methods for experiment designs, data processing, feature extraction, and most common statistical approaches to inference. Letter grading.