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Introduction

Mustafa Jarrar: Lecture Notes on Artificial Intelligence Birzeit University, 2014

Artificial Intelligence

Dr. Mustafa JarrarSina Institute, University of Birzeit

mjarrar@birzeit.eduwww.jarrar.info

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Watch this lecture and download the slides from http://jarrar-courses.blogspot.com/2011/09/online-courses.html

Reference:

Mustafa Jarrar: Lecture Notes on Conceptual Analyses

University of Birzeit, Palestine, 2015

Online Course

Watch Download Slides

Mustafa Jarrar

Birzeit University, Palestine

mjarrar@birzeit.edu

www.jarrar.info

Mustafa Jarrar: Online Courses – Watch and Download Slides

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Part1: What is AI (Discussion)

Part2: Course Outline

Lecture Outline

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Reading and Discussion

Study the “Artificial Intelligence” article from the Wikipedia. Don’t read ch.1

You will answer one of the following questions.

This will be a quiz!

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Discussion

• What is the common definition of “AI”? Do you agree?

• Do you know any AI application?

• Should artificial intelligence simulate natural intelligence?

• What are the criticisms on the AI research? Do you agree?

• What is the relation between AI and logic? AI and philosophy? Logic and philosophy?

• Explain the meaning of logic? reasoning? ontology?

• What is Natural Language Processing? And how it is related to AI?

• Why and how Probabilistic and statistical methods are used in AI ?

• What are the major research approaches/schools in AI? Which one you think is more productive?

• Which Arabic philosophers contributed to logic in the past?

• Why Arabs chose to study logic in the past?

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Part1: What is AI (Discussion)

Part2: Course Outline

Lecture Outline

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Topics

Introduction to AI, and Intelligent Agents

Information Retrieval & Natural Language processing

Lexical Semantics and Lexical Resources

Knowledge Representation & Reasoning

Description Logic, Business Rules, and Ontologies

Uninformed Search

Informed Search

Games and Adversarial Search

Machine Learning & Neural Networks

Seminar: {Planning, Fuzzy logic and Probabilistic Reasoning, Decision Making, Constraint Satisfaction, NLP topics, History of Logic}.

Synthesis Paper: Every three student should write a synthesis paper (6-10 pages) about a research topic that will be assigned to them.

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Topics

Intelligent Agents

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Topics

Information Retrieval & Natural Language processing

Lexical Semantics and Lexical Resources

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Topics

Knowledge Representation & Reasoning

Description Logic, Business Rules, and Ontologies

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Topics

Uninformed Search

Informed Search

Games and Adversarial Search

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Topics

Machine Learning & Neural Networks

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Topics

Seminar:

{Planning, Fuzzy logic and Probabilistic Reasoning, Decision Making, Constraint Satisfaction, NLP topics, History of Logic}.

Every three students will select one of these topics and will be given 25 minutes to present it in front of all students. Students will be evaluated based on (i) their understanding of the topic and (ii) how much other students understood them.

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Topics

Synthesis Paper:

Every three student should write a synthesis paper (6-10 pages) about a research topic that will be assigned to them. Students are expected to read at least three recent articles related to the course topics; and summarize and criticize them. Discussion and guidance will be provided during the course.

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Grading

Med Exams (20%)

Final exam (35%)

Paper and Seminar (15%)

Projects (30%)

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Teaching Material:

Textbook: S. Russell and P. Norvig: Artificial Intelligence: A Modern Approach Prentice Hall, 2003, Second Edition 

Lecture Notes:All lecture notes will be published on Ritaj before or directly after each lecture.All lectures will be video recorded, and published online at: http://jarrar-courses.blogspot.com/2011/11/artificial-intelligence-fall-2011.html

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Rules

Smile and be cool: help be to make the course full of fun!!!!

Attendance. Attendance is mandatory. University regulations are strictly enforced.

Academic Honesty: Individual work must be each student’s own work. Plagiarism or cheating will result in official University disciplinary review.

Missed Exams: There are no makeup exams, and project deadlines are very hard.

Etiquette: Cell phones must be turned off. Don’t come late. If you must go out during the lecture go but don’t let me notice.

Ritaj: Official communicate through Ritaj. I assume you check it several times a day (other channels of communication are informal).

Facebook Group: students are encourage join this group (https://www.facebook.com/groups/1460847144188492/) to discuss and share related material among each other. (This is an informal communication channel, and does not replace Ritaj).