Section outline

    • Welcome Message:

      In this Software Project II lab, we will introduce a new term, which is Artificial Intelligence(AI). Are you wondering about the future world? Yes, of course, Artificial Intelligence is going to rule in industries all over the world. Not only that, but it will play its role in household works also. This course aims to introduce yourself to the world of Artificial Intelligence. The focus of this lab course will include basics knowledge of python, ML algorithm, and neural network. These will be some of the essential fundamental knowledge for every computer scientist in the future.

      You are welcome to browse the page.

      Hope we will have a memorable journey together.

       Name Md. Zabirul Islam
       Lecturer, Dept of CSE
       Daffodil International University
       Email: zabirul.cse@diu.edu.bd
       Cell: 01521-307471 
       

       Course Objectives:

       After completing the course students will be able to:

      - Explain fundamentals of Python Language

      - Solve real-life problems using Python

      - Implement a few basic ML algorithms


      Assessment Policies:

      Class Attendance

                    10

      Quiz 

                  25

      Lab test

                     25

      Project + Assignment

                       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
















      Reference Book: 

      1)Hands on Machine Learning with Scikit Learn and Tensorflow.pdf

      2) Python 3 Pdf - Tutorialspoint


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