Statistical Methods in Computer Science Course Introduction Ido

Statistical Methods in Computer Science Course Introduction Ido Dagan

An Introduction to the Instructor. . . Email: dagan@cs. biu. ac. il Phone: 03 -531 -7620 Office hours: Monday 3 pm, room 118, CS building • Research area: Natural Language Processing o • A lot of empirical research around texts and applications Slides credit: Prof. Gal Kaminka 2

An Introduction to the Course… Goals: An appreciation of the need for empirical research in CS Knowledge of empirical research methods Statistical tools Topics include: The process of science (hypothesizing, experimenting, hypothesizing, . . . ) Experiment design Descriptive statistics Inferential statistics – hypothesis testing 3

Procedures Lectures about selected topics Take notes, not everything will be on slides! Please feel free to raise questions, and to be critical Weekly Tirgul Verbal, board – will be in exam! Many students who covered only the slides failed the exam Eyal Shnarch Homework assignments (~4): %20 of grade. Final exam: 80% of grade. Participate in a CS experiment (must attend to pass course) Course web site: http: //www. cs. biu. ac. il/~89 -362 Presentations will be there Also readings, homework, notes, . . . 4

Homework assignments Thought questions Math/statistical Computing statistics with Excel Deadlines are real. You will lose points for being late. After a week, it’s just too late. Individual submission No copying, no ethical breaches 5

Academic Honesty A scientist has to be honest. Do not cheat. Group discussions are OK But after discussion, each writes her/his own answer. Be honest, and you will not get into trouble 6