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    • Welcome Message for Artificial Intelligence

      Are you wondering about future world? Yes, of course Artificial Intelligence is going to rule in industries all over the world. Not only that, it will play its role in household works also. An this course aims to introduce yourself with world of Artificial Intelligence. The focus of this course will include Intelligent Agent, Solving problems by searching, Game playing, Logical agents, Uncertainty, Natural language processing and neural network. These will be some of the essential fundamental knowledge for every computer scientists in future.

      You are welcome to browse the page.

      Hope we will have a memorable journey together.

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      Instructor's Information

      Name: ABU KHALID MUBASHSHIR MAHMUD

      Designation: LECTURER
      email: khalid.cse@diu.edu.bd
      Office Address: Room no. 111, DT-5
      Contact number: 01878653709

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      Course Rationale:

      Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Although AI has been studied for more than half a century, we still cannot make a computer that is as intelligent as a human in all aspects. In this course, we will study the most fundamental knowledge for understanding AI. We will introduce some basic search algorithms for problem solving; knowledge representation and reasoning; game playing theories; Uncertainty; natural language processing and neural networks.

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      Course Objectives:

      The main objective of this course is to provide an introduction to the basic principles and applications of artificial intelligence.


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      After Completing the course students will be able to:

      CO1: Understand the concepts of Artificial intelligence, Intelligent Agents And issues in the design of search programs. 

      CO 2: Explain the role of agents and how it is related to environment and the way of evaluating it and how agents can act by establishing goals.

      CO 3: Analyze and simulate various searching techniques, constraint satisfaction problem and example problems- game playing techniques.. 

      CO 4: Explain the concepts of Logical Agents, Uncertainty,Natural Language processing and Expert Systems.

      CO 5: Analyze and design a real world problem for implementation and understand the dynamic behavior of a system.

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      Assessment:

       Class Attendance

                     07

       Assignment

                     5

       Class Test

                     15

      Presentation

                       8

       Mid Term Exam

                    25

       Semester Final Exam

                    40

      Total:    

      100



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      Grading Policy:

      Numerical Grade

      Letter Grade

      Grade Point

      80% and above

      A+

      (A Plus)

      4.0

      75% to less than 80%

      A

      (A regular)

      3.75

      70% to less than 75%

      A-

      (A minus)

      3.5

      65% to less than 70%

      B+

      (B Plus)

      3.25

      60% to less than 65%

      B

      (B regular)

      3.0

      55% to less than 60%

      B-

      (B minus)

      2.75

      50% to less than 55%

      C+

      (C Plus)

      2.5

      45% to less than 50%

      C

      C (regular)

      2.25

      40% to less than 45%

      D

       

      2.0

      Less than 40%

      F

       

      0.0

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      Text Book:

      Artificial Intelligence: A Modern Approach

      - Stuart Russel & Peter Norvig

      Edition: 3rd


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      Resources

      All slides

      Text Book