13E054VI - Artificial Intelligence

Course specification
Course title Artificial Intelligence
Acronym 13E054VI
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition none
    The goal This course provides a broad technical introduction and a survey of core concepts of artificial intelligence, including search, planning and reasoning under uncertainty. The goal is to provide students with both theoretical and practical tools to model, design and test artificial intelligence systems, with practical implementation of agents in Python and Matlab.
    The outcome Students will be able to independently analyze the environment the agent is to operate in and the goals it should attain, to choose adequate artificial intelligence algorithms for the problem at hand and to design, practically implement and test these algorithms using Python and/or Matlab.
    Contents of lectures History, definition and overview of basic concepts in artificial intelligence. Search and planning: classical, local and adversarial search, constraint satisfaction problem. Probabilistic reasoning: Bayes nets, exact and Monte Carlo inference. Temporal models: hidden Markov models, dynamic Bayes nets, Kalman and particle filter.
    Contents of exercises Detailed solutions to problems which demonstrate the mechanics and important aspects of algorithms covered in lectures. Interactive demonstrations and analysis of practical implementations of these algorithms applied to illustrative problems.
    1. Artificial Intelligence: A Modern Approach. 3rd Edition, S. Russell and P. Norvig. Prentice Hall, 2010
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1 1
    Methods of teaching oral lectures, blackboard exercises, computer demonstrations
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 60
    Practical lessons 0 Oral examination 0
    Colloquia 20
    Seminars 20