Topic outline

  • Welcome to the world of Artificial Intelligence


    • 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.

    •     

      Instructor's Information



      Instructor: Md Montasir Bin Shams(MBS)
      Designation: Lecturer
      Email: montasir.cse@diu.edu.bd
      Office: 111 DT5 
      Appointment in Google Calendar: Click here 
      Website: https://sites.google.com/view/diptomontasir

    • 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.

    • Course Objectives:

      The main objective of this course is to 

      1. Provide an introduction to the basic principles and applications of artificial intelligence.

      2. Get acquainted with cutting-edge technology.

      3. Get familiar with state-of-the-art research activities.


    • Course Outcomes:

      CO1:  Understand the concepts of Artificial intelligence, Intelligent Agents, and issues in the design of search programs. 
      CO2:   Explain the role of agents and how it is related to the environment and the way of evaluating it and how agents can act by establishing goals.
      CO3:    Analyze and simulate various searching techniques, constraint satisfaction problems, and example problems- game playing techniques. 
      CO4:  Explain the concepts of Logical Agents, Uncertainty, Natural Language Processing, and Expert Systems.
      CO5:  Analyze and design a real-world problem for implementation and understand the dynamic behavior of a system.

    • Assessment:

       Class Attendance

                     07

       Assignment

                     05

       Class Test

                     15

       Presentation

                       08

       Mid Term Exam

                    25

       Semester Final Exam

                    40

      Total:    

      100



    • 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

    • Text Book:

      Artificial Intelligence: A Modern Approach

      - Stuart Russel & Peter Norvig

      Edition: 3rd


  • Forum

    • All live class recorded video (section-A) Page
      Restricted Not available unless: You belong to Group-A

  • Week 1

    • Lesson 1: Introductory Class

      Formal introduction between students and teacher. Outline of the course will be shared and the course-related topics will be discussed in order to make students familiar about the outcome of the course.

    • Lesson 2:

      Topic Name: Introduction to AI

      After completing the lesson students will be able to:

      • Understand the fundamental ideas of AI
      • Understand the foundational concepts of AI
      • Know about the initial experiments and and future scopes of AI


    • Live recorded class [ Section- B]

      Restricted Not available unless: You belong to Group-B

    • Live recorded class [ Section- C]

      Restricted Not available unless: You belong to Group-C

  • Week 2

  • Week 3

    • Lesson 7 and 8:

      Learning Objectives:

      After completing this lecture students will be able to:

      • Formulate AI program
      • Apply Uninformed search algorithms on given problems

    • Lecture on Uninformed Search[chapter 3][Section-A] Page
      Restricted Not available unless: You belong to Group-A

    • Lecture on Uninformed Search(Section-B and C)

      Restricted Not available unless any of:
      • You belong to Group-B
      • You belong to Group-C

  • Week 4

  • Week 5

  • Week 6: A* search and Greedy Search

  • Quiz

    Quiz 01:

    Topics:

    1. Introduction to AI
    2. Uninformed Search


    • Quiz_1 Assignment
      View Make a submission

      Dear Students

      This is a 15 marks exam. You need to write your answers on white paper or you can create a document file. You need to upload your answer scripts in BLC. You have given 50 minutes to complete the exam. Hope all of you will maintain the exam etiquette. It is worth mentioning that plagiarism checking will be strictly followed. 

      ###Have a great exam!!!

  • Week7: Miderm Exam

  • Week 8


    • Lesson 13:

      Learning Objectives:

      After completing this lecture students will be able to:

      - Explain Genetic algorithms

      - Apply Genetic Algorithm to a given problem

      -8 queen problem

  • Week 9

  • Week 10

  • Assignment

  • Final Assessment

  • Topic 18