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: Introduction to Artificial Intelligence
InfoStaff
description: This course examines the ideas and techniques underlying the design of intelligent computer systems. Topics include heuristic search, problem-solving, game-playing, knowledge representation, logical inference, planning, reasoning under uncertainty, decision theory, expert systems, learning, perception, and natural language understanding.
objective: The ability to implement various AI methodologies, understand and write programs in Prolog and Lisp and build a moderately sized AI-based program.
type: technical
oibs-code: 5710462
Instructors:
  • Seyda Ertekin
    email:
    room: B203
    tel: 5509
Assistants:
  • Mehmet CELIK
    email:
    OfficeHours: Arranged by email
    room: A402
    tel: 5592
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Announcements
    Lecture NotesExams
    • final : 2017-06-01 13:30:00, rooms: bmb1
    • evaluation : 2017-05-24 10:40:00, rooms: bmb5
    • midterm : 2017-04-26 10:40:00, rooms: bmb5
    Homeworks
    homeworks
    topic:
    [[+hid]] hw_title deadline graded selectit
    1 4347 Take Home 1 2017-03-22 23:59:59 yes select
    2 4363 Take Home 2 2017-04-06 23:59:59 yes select
    3 4382 Take Home 3 2017-05-06 23:59:59 yes select
    4 4424 Take Home 4 2017-06-02 23:59:59 yes select
    5 4461 Midterm 2017-06-18 18:10:54 yes select
    6 4462 Final 2017-06-18 18:11:31 yes select
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      COW by: Ahmet Sacan