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CS-E4800 - Artificial Intelligence, 05.01.2017-30.03.2017

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Syllabus

Weekly exercises

  • Weekly exercises

    Weekly exercises

    Instructions for weekly exercise sessions: Attend one session on Tuesday, either 12:15-14:00 or 16:15-18:00. The sessions consists of exercises, and sometimes demonstrations by the assistant to more deeply illustrate topics covered in the lecture.

    Results table: download PDF (April 29, 9:32)

    Try to solve the exercises before the session (alone, no group work allowed!), and mark in the assistant's paper which solutions you are ready to present in the session. If you are chosen to present the solutions, you will get full bonus points from correct solutions as well as from reasonable attempts. If you have marked problems solved, but don't seem to have a clue about how it is solved (suggesting dishonesty on your part about marking exercises as solved, or not solving them youself), we will grant you negative points as a discouragement. Students not chosen to present will get full bonus points.

    Exercise sessions are numbered according to the lectures they are related to: when Lecture N takes place on Thursday, the following Tuesday has exercise session N.

    January 17, Exercise 2: Search algorithms

    January 24, Exercise 3: Search algorithms 2 (some solutions)

    January 31, Exercise 4: Logic and constraint satisfaction (some solutions)

    February 7, Exercise 5: State-space search with logic and constraints (some solutions)

    February 21, Exercise 6: Symbolic search, Markov decision processes (some solutions)

    February 28, Exercise 7: Partial observability and decision-making under uncertainty 

    March 7, Exercise 8: Decision-making in adversarial and multi-agent settings

    March 14, Exercise 9: Decision-making in multi-agent settings (some solutions)

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    • Schools
      • School of Arts, Design, and Architecture (ARTS)
      • School of Business (BIZ)
      • School of Chemical Engineering (CHEM)
      • –sGuides for students (CHEM)
      • – Instructions for report writing (CHEM)
      • School of Electrical Engineering (ELEC)
      • School of Engineering (ENG)
      • School of Science (SCI)
      • Language Centre
      • Open University
      • Library
      • Aalto university pedagogical training program
      • UNI (exams)
      • Sandbox
    • CORONAVIRUS INFO
      • Koronavirus - tietoa opiskelijalle
      • Coronavirus - information for students
      • Coronavirus - information för studerande
      • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
      • Effects of the coronavirus on studies: questions and answers
      • Coronaviruset och studierna: frågor och svar
      • Corona help for teachers
    • Service Links
      • MyCourses
      • - Instructions for Teachers
      • - Teacher book your online session with a specialist
      • - Digital tools for teaching
      • - Personal data protection instructions for teachers
      • - Instructions for Students
      • - Workspace for thesis supervision
      • WebOodi
      • Into portal for students
      • Courses.aalto.fi
      • Library Services
      • - Resourcesguides
      • - Imagoa / Open science and images
      • IT Services
      • Campus maps
      • - Search spaces and see opening hours
      • Restaurants in Otaniemi
      • ASU Aalto Student Union
      • Aalto Marketplace
    • ALLWELL?
      • Study Skills
      • Support for Studying
      • Starting Point of Wellbeing
      • About AllWell? study well-being questionnaire
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