Artificial intelligence (AI) is one of the most exciting and rapidly developing fields of technology today. AI is already having a major impact on our lives, and it is poised to play an even greater role in the future.

1. Shahzar Younas
Artificial Intelligence
Introduction to AI

2. Pre-requisites
 Discrete Structures
 Basic probability and statistics
 Basic algorithms and data structures
 Reasonable programming skills.

3. Course Description
 Introduction to the techniques and applications of artificial
intelligence (AI) including a study of:
 Intelligent agents.
 Search techniques.
 Logical agents.
 Knowledge representation and reasoning formalisms.
 Learning paradigms.
 Expert systems.
 Machine learning techniques like neural networks, genetic algorithms, Fuzzy logic, decision
trees etc.

4. Course Outcomes
 Demonstrate an understanding of the fundamental ideas of problem solving using AI.
 Demonstrate an understanding of the fundamental ideas of Knowledge
Representation and Reasoning.
 Demonstrate an understanding of the principles of a number of different approaches
to machine learning.
 Demonstrate the ability to apply AI and Computational Intelligence techniques to a
variety of research and application projects.

5. Book
 S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach,
fourth Edition, Pearson Education Series in AI Intelligent agents.

6. Tentative Grading Policy
• 30% Mid Tem Exam
• 40% Final Exam
• 10% Projects or Presentations
• 10% Assignments ( Best 3 )
• 10% Quizzes ( Best 3 )

7. What is Artificial Intelligence?

8. What is Artificial Intelligence?
 Artificial Intelligence is composed of two
words Artificial and Intelligence, where Artificial defines "man-
made," and intelligence defines "thinking power", hence AI means "a
man-made thinking power.”
So, we can define AI as:
• It is a branch of computer science by which we can create intelligent
machines which can behave like a human, think like humans, and able
to make decisions.
Artificial Intelligence exists when a machine can have human based skills such as
learning, reasoning, and solving problems

9. Why Artificial Intelligence?

10. Why Artificial Intelligence?
 Following are some main reasons to learn about AI:
 With the help of AI, you can create such software or devices which can solve real-
world problems very easily and with accuracy such as health issues, marketing,
traffic issues, etc.
 With the help of AI, you can create your personal virtual Assistant, such as
Cortana, Google Assistant, Siri, etc.
 With the help of AI, you can build such Robots which can work in an environment
where survival of humans can be at risk.
 AI opens a path for other new technologies, new devices, and new Opportunities.

11. What Comprises to Artificial
Intelligence?

12. What Comprises to Artificial Intelligence?
 What is Intelligence?
 It’s an intangible part of our brain which is a combination of Reasoning, learning,
problem-solving perception, language understanding, etc.

13. Advantages of Artificial Intelligence
 High Accuracy with less errors.
 High-Speed
 High reliability
 Useful for risky areas
 Digital Assistant
 Useful as a public utility

14. Disadvantages of Artificial Intelligence
 High Cost
 Can't think out of the box
 No feelings and emotions
 Increase dependency on machines
 Digital Assistant
 Useful as a public utility

15. Application of AI

16. Application of AI

17. Application of AI
AI in Astronomy AI in Social Media AI in Agriculture
AI in Healthcare AI in Travel & Transport AI in E-commerce
AI in Gaming. AI in Automotive Industry AI in education
AI in Finance AI in Robotics AI in Data Security

18. Introduction to Agents
Next Lecture

19. The End