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Statistical Methods in Computer Science

Course Introduction Ido Dagan. Statistical Methods in Computer Science. An Introduction to the Instructor. Email: dagan@cs.biu.ac.il Phone: 03-531-7620 Office hours: Monday 3pm, room 118, CS building Research area: Natural Language Processing

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Statistical Methods in Computer Science

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  1. Course Introduction Ido Dagan Statistical Methods in Computer Science

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

  3. 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

  4. Procedures • Lectures about selected topics • Take notes, not everything will be on slides! • Verbal, board – will be in exam! • Many students who covered only the slides failed the exam  • Please feel free to raise questions, and to be critical • Weekly Tirgul • 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, ...

  5. 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

  6. 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

  7. שאלות ?

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