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Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
Logo Leibniz Universität Hannover
Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
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Artificial Intelligence (former Künstliche Intelligenz) -SS18

Overview

"Intelligence: The ability to learn and solve problems" [Webster's dictionary] 

"Artificial Intelligence is the intelligence exhibited by machines or software" [Wikipedia] 

"The science and engineering of making intelligent machines" [McCarthy]

"The study and design of intelligent agents, where an intelligent agent is a system that perceived its environment and takes actions that maximize its chances of success" [Russel and Norvig AI book]

Course content

  • Introduction to AI, the four different schools of thought, applications of AI
  • Agents, Rational agents, Agent types
  • Search agents:

    • Uninformed/blind search
    • Informed/Heuristic search
    • Local  search
    • Adversarial search

  • Learning from data (Machine Learning)

    • Introduction to ML/supervised learning
    • Regression
    • Neural Networks
    • Deep Neural Networks

      • CNNs
      • LSTMs

  • Fairness-aware machine learning

ECTS points: 4 

Schedule

  • Lecture: every Tuesday 12:00 - 13:30
  • Tutorials: every Tuesday 13:45 - 15:15 
  • Raum: Multimedia Hörsaal (3703-023), Appelstraße 4 (for both lectures and tutorials)

Teaching team

Literature

  •  Artificial Intelligence: A Modern Approach  (3rd Edition) by Stuart Russel and Peter Norvig.
  • Machine Learning, by Tom Mitchell
  • Deep Learning, by Ian Goodfellow, Yoshua Bengio and Aaron Courville

About the bonus

  • 3 AI projects will run through the semester giving you the opportunity to explore a topic in depth and to get hands-on experience on data mining methods.
  • the projects are optional, but they will count towards your grade

Exam

  • Written exam

 

!!! Please check the Stud.IP page for announcements, material and up-to-date information on the course.