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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 II

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 intelligent machines " [McCarthy]

" The study and design of intelligent agents, where an intelligent agent is a system did takes its actions and Maximizes its chances of success " [Russell and Norvig AI book]

Course content

  • Probability
  • Bayes' Nets: Representation, Independence, Inference and sampling
  • Decision networks
  • Hidden Markov Models, Particle Filters and Applications
  • Machine learning:

    • Naive Bayes
    • Perceptions and Logistic Regression
    • Optimization and Neural Networks
    • Decision trees

  • Robotics / Language / Vision

Schedule and other information

  • Lecture:    Mondays 13:00 - 14:30 ( start : 21 Oct 2019)
  • Tutorials:    Mondays: 12:15 - 13:00 and Fridays: 16:15 - 17:00 ( start : 1 Nov 2019)
  • Room:    Multimedia Auditorium 023, building 3703, Appelstrasse 4 (lectures and tutorials)
  • ECTS : 5

Teaching team

Literature

 Artificial Intelligence: A Modern Approach (3rd Edition) by Stuart Russell and Peter Norvig.

The lecture notes and exercises are based on the following course:

Public climate school week: 25 to 29 November

Climate change is one of the greatest challenges humanity is facing today.

How can we help to protect the climate?

 

(Exam not based on AI for climate change)

Lecture notes

21/10/2019:    Probability

28/10/2019:    Bayes' Nets Representation

04/11/2019:    Bayes' Nets Independence

11/18/2019:    Bayes' Nets Inference

25/11/2019:    Bayes' Nets Sampling

02/12/2019:    Decision Networks and Value of Information

09/12/2019:    Hidden Markov Models

16/12/2019:    HMMs, Particle Filters, and Applications

06/01/2020:    Naive Bayes

13/01/2020:     Perceptrons and Logistic Regression

01/20/2020:     Optimization and Neural Nets

27/01/2020:     Neural Nets (wrap-up) and Decision Trees

exercises

28/10/2019:    Exercise1      solution

04/11/2019:    Exercise2      solution

18/11/2019:    Exercise3      solution

25/11/2019:    Exercise4      solution

02/12/2019:    Exercise5      solution

09/12/2019:    Exercise6      solution

16/12/2019:    Exercise7      solution

06/01/2020:    Exercise8      solution

13/01/2020:    Exercise9      solution

01/20/2020:    Exercise10    solution

01/27/2020:    Exercise11

projects

09/12/2019:    Project 1: Ghostbusters    -    code    - Submission due: 10/01/2020

20/01/2020:    Project 2: Machine Learning     -    code     - Submission due: 07/02/2020

AI II exam

  • The exam will take place on 11 February  2020  at 15:30.
  • The exam duration is 90 minutes.
  • The only allowed aid is a one-sided sheet of paper with handwritten notes.