Section outline


  • Course Code: CSE233 & CSE234  ||  Credits: 1+2  || CIE Marks: 60 ||  SEE Marks: 40 

    Dear Students,

    Welcome to the 2021 Spring Semester!

    Welcome back, Students. I can’t wait to see all your smiling faces again! . I am here to support you every step of the way.

    I encourage you to make the most of your time here.

    Remember to make it a great year. I will see you soon.


    Course Description (from syllabus)/Rational:
    Content will be based on upcoming popular and modern programming languages having demand in jobs for local and international markets at the time of offering. In the Fall 2020 semester, the course rational is defined from the context of Python-based Object-Oriented Programming with the basic skills of programming with Python. Introduction to Python programming; Control Statements and Program Development; Functions; Lists and Tuples; Dictionaries and Sets; Using Numpy for numerical computation; Using String; File and Exception Handling; Object-Oriented Programming: Introduction, Using Class and Method, Inheritance, Operator Overloading, Name Space and Scopes, Polymorphism; Named Tuples, Design Case Study.

    Course Learning Outcome:

    CLO1 Able to solve computational problem using Python programming
    CLO2 Able to develop object oriented solution using Python
    CLO3 Able to apply OOP and Python knowledge in solving problem

    Teaching and Learning Activities (TLA)
    TLA1 Interactive discussion using Online/multimedia or whiteboard.
    TLA2 Group presentation regarding related problems and assigned task.
    TLA3 Evaluation of class performances to reach each student in a class for
    every topic.

    Text Books:
    1. Intro to Python for Computer Science and Data Science, Daitel & Daitel, Pearson 2020
    Intro to Python for Computer Science and Data Science: Learning to Program  with AI, Big Data and The Cloud | 1st edition | Pearson

    Reference Books:
    1. Programming with Python, T.R. Padmanabhan, Springer, 2016
    2. Python for Data Analysis, Wes McKenny, O’Reilly, 2018 


    Course Content Google Drive Link

    Google Drive logo vector

    Online LAB

    An Absolute Beginner's Guide To Google Colaboratory | by digitaldina |  Medium



    Appointment in Google CalendarClick Here