10.90.136.11: Created page with "= Introduction to Artificial Intelligence = * '''Course name:''' Introduction to Artificial Intelligence * '''Course number:''' XYZ * '''Knowl..."

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Created page with "= Introduction to Artificial Intelligence = * '''Course name:''' Introduction to Artificial Intelligence * '''Course number:''' XYZ * '''Knowl..."

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= Introduction to Artificial Intelligence =

* '''Course name:''' Introduction to Artificial Intelligence
* '''Course number:''' XYZ
* '''Knowledge area:''' Algorithms and Complexity

== Administrative details ==

* '''Faculty:''' Computer Science and Engineering
* '''Year of instruction:''' 2nd year of BS
* '''Semester of instruction:''' 2nd semester
* '''No. of Credits:''' 4 ECTS
* '''Total workload on average:''' 144 hours overall
* '''Frontal lecture hours:''' 2 per week
* '''Frontal tutorial hours:''' 2 per week
* '''Lab hours:''' 2 per week
* '''Individual lab hours:''' 0
* '''Frequency:''' weekly throughout the semester
* '''Grading mode:''' letters: A, B, C, D

== Prerequisites ==

* Discrete Math/Logic
* English for Academic Purposes I

== Course outline ==

Have you ever wondered about how computers decide on what your credit worthiness is, or how they can play chess as good as a world master, or how world class circuits can be built with a minimal number of crossed wires? Perhaps you have wanted to build a human like robot, or have wanted to explore the stars with automated probes. Artificial Intelligence is the field which examines such problems. The goal is to provide a diverse theoretical overview of historical and current thought in the realm of Artificial Intelligence, Computational Intelligence, Robotics and Machine Learning Techniques.

== Expected learning outcomes ==

* Understand and apply the PEAS model of problem definition
* Understand and apply the Environment Model
* Understand the role of AI within computer science in a variety of fields and applications
* Gather an appreciation of the history of AI founders
* Solve simple problems using random, guided, and directed, search methods and be able to compare their abilities to solve the problem using a statistical argument
* Apply Evolutionary Algorithms, Neural Networks, Monte Carlo Tree Search to a number of problems

== Expected acquired core competences ==

* Automata
* Compiler design
* Formal methods
* Formal models and semantics
* Formal semantics
* Proof techniques

== Textbook ==

* Russell & Norvig - Artificial Intelligence: A Modern Approach, 3rd Edition
* Ashlock - Evolutionary Computation for Modeling and Optimization

== Reference material ==

NA

== Required computer resources ==

You will need a computer with a C/C++ and LISP compiler

== Evaluation ==

* Assignment 1 (20%)
* Assignment 2 (20%)
* Lab Participation (10%)
* Midterm (25%)
* Final (25%)

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10.90.136.11: Created page with "= Introduction to Artificial Intelligence = * '''Course name:''' Introduction to Artificial Intelligence * '''Course number:''' XYZ * '''Knowl..."