Erinevus lehekülje "Teadmispõhise tarkvaraarenduse meetodid / Methods of Knowledge Based Software Development - 2015" redaktsioonide vahel

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There will be four homework assignments, one for each course. Assignments will give up to 10 points each. In order to successfully pass the course, at least three homeworks must be successfully defended.
 
There will be four homework assignments, one for each course. Assignments will give up to 10 points each. In order to successfully pass the course, at least three homeworks must be successfully defended.
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Homeworks can be done alone or in pairs. Pairs will be formed randomly by the lecturers, separately for each homework. As said, you can always opt to do it alone.
  
 
= Course structure =
 
= Course structure =

Redaktsioon: 31. august 2015, kell 13:34


Course code: ITI8600 (Ainekaart eesti keeles ITI8600)

Language: The default language of the course is English, but if all students understand Estonian, it will be in Estonian

Lecturers:

  • Tanel Tammet, tanel.tammet@ttu.ee, 6203457, TTÜ ICT-426
  • Juhan Ernits, juhan.ernits@ttu.ee, 6202326, TTÜ ICT-428 (handles ÕIS registrations)

Past editions

This course will be offered for the first time in 2015. It is the result of combining two previously offered courses, Knowledge Search, Formalization and Storing and Principles of Artificial Intelligence

Time, place, result

  • Lectures: Mondays 17:45-19:15, SOC-211B, SOC-211C
  • Labs: Tuesdays 17:45-19:15, ICT-401

Grading

The final grade will be based on 40% of points from homework assignments and 60% of the result of an exam.

There will be four homework assignments, one for each course. Assignments will give up to 10 points each. In order to successfully pass the course, at least three homeworks must be successfully defended.

Homeworks can be done alone or in pairs. Pairs will be formed randomly by the lecturers, separately for each homework. As said, you can always opt to do it alone.

Course structure

The course will consist of four interconnected blocks covering crucial areas of the subject:

Search algorithms

Knowledge representation

Reasoning and deduction

Learning