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    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 Calendar: Click Here


  • Student Attendance


  • Course Introduction

    • Students must
      Mark as done

  • Week 1 (Python Introduction)


    Lesson-1: 

    • Introduction to Python;
    • Variable; Arithmetic; Using print;
    • Input from User; Objects and
    • Dynamic Typing. (Ref. Text, 50-70)

    Lab 01: 

    • Working with Jupyter
    • Notebook and Google Colab (using Online editors)


    Assessment and Mapping with CLO1

  • Class Video (Google Meet) Week-1

  • Practice Problems (Week 1)

  • Week 2 (Python Control Statement)


    Lesson-2:  Operators; Control structures; Program development; Built-in functions; Augmented assignments. (Ref. Text, 74-108)

    Lab 02: Problem-solving using Python-based on discussion.

  • Practice Problems (Week 2)

  • Week 3 (Python Library)


    Lesson-3: Functions: define and using the function, Python standard library, Scope rules, Default parameter value. (Ref. Text, 120-148)

    Discussion on Course Projects.

    Lab 03: Working with functions

  • Week 4 (Python Lists and Searching)


    Lesson-4: Sequences: List and Tuples: Lists, Tuples, Unpacking Sequences, Sequence Slicing, Sorting List, Searching Sequences, Example Cases (Ref. Text, 156-175)

    Lab 04: Working with Sequences using Google Colab

  • Week 5 (Lists)


    Lesson-5: Sequences: List and Tuples: Stack with List, List comprehensions, Expression, Filter, Map and Reduce, Sequence processing function, 2-D lists (Ref. Text, 176-193)

    Lab 05: Working with Sequences using Google Colab

  • Week 6 (Dictionary)


    Lesson 6: Dictionaries and Sets: Create dictionary, Dictionary operations, Dictionary methods keys and values, Working with Set, Dynamic visualization (Ref. Text, 210-231)

    Lab 06: Working with Dictionaries and Sets using Google Colab/ Jupyter notebook

    • Students must
      Mark as done
      Course Content Link (Week-6):


      Assessment and Mapping with CLO1

    • Students must
      Mark as done
    • assign icon
      Assignment 2
      Students must
      Mark as done

      Assignment 2

      • Sequences and Tuples
      • Dictionaries and Sets


    • forum icon
      Discussion Thread (W-6): What you learn Today Forum
      Students must
      View
      Make forum posts: 1


    • url icon
      Google Meet Class Video-6 (PC-A) URL
      Students must
      Mark as done
    • url icon
      Google Meet Class Video-6 (G) URL
      Students must
      Mark as done

  • Midterm Course Survery


  • Week 7 (Midterm Exam)


    Topics to cover in mid exam:

    • Python Basic Code
    • List, Set and Tuple
    • Scenario based Question (Case-Study)
    • Dictionary

    • Students must
      Mark as done

      Midterm Open Book Examination Answer Script and Guideline [Click on the image]

               

    • Exam Started 09 March, 2021 from 9.00 AM to 11.30 PM

      MIDTERM EXAM QUESTION [Click Below Link]

    • Students must
      Mark as done

      MIDTERM ANSWER SCRIPT SUBMISSION LINK [CLICK BELOW]

    • url icon
      Midterm_AnswerScript_Submission_Spring_21 (PC-A) URL
      Not available unless: You belong to PC-A
    • url icon
      Midterm_AnswerScript_Submission_Spring_21 (A) URL
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    • url icon
      Midterm_AnswerScript_Submission_Spring_21 (Sec-G) URL
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  • Week 8 (OOP Concepts)


    Lesson 7: OOP Using Python: defines class and object, encapsulation and data hiding, controlling access to attributes, properties for data access, example cases (Ref. Text, 356-370)

    Lab 07: Working with OOP using Python in Google Colab/ Jupyter notebook

  • Week 9 (Inheritance)


    Lesson 8: OOP using Python: Inheritance in Python, Design Case Study, Design inheritance based on a real-life problem (Ref. Text, 370-391)

    Lab 08: Working with OOP using Python in Google Colab/ Jupyter notebook

  • Week 10 (Polymorphism and Exception)


    Lesson 9: OOP using Python: Operator overloading, Polymorphism, Handling exception, Named tuples, Using Card data types, design case study (Ref. Text, 390-410)

    Lab 09: Working with OOP using Python in Google Colab/ Jupyter notebook

  • Week 11 (Library)


    Lesson 10: Using NumPy: Array from existing data, array attributes, attay Operators, NumPy methods, Shallow copies, Deep copies, Examples (Ref. Text, 240-256)

    Lab 10: Working with NumPy using Python in Google Colab/ Jupyter notebook

  • Week 12 (Library Operations)


    Lesson 11: Using NumPy: Universal functions, Indexing and slicing, Reshaping and transposing, Examples (Ref. Text, 252-267)

    Lab 11: Group Project Presentation Sharing by Team Lead on behalf of the team

    • Students must
      Mark as done
      Course Content Link (Week-12):


      Assessment and Mapping with CLO1 , CLO3

    • Students must
      Mark as done


    • forum icon
      Discussion Thread (W-12): What you learn Today Forum
      Students must
      View
      Make forum posts: 1
    • assign icon
      Project Implementation Assignment
      Students must
      Mark as done

      Presentation by Team

  • Week 13 (Review)


    Lesson 12: Review class on topics discussed of Wk 8, Wk 9 and Wk 10 for preparing for the final exam

    Lab 12: Lab Performance Test and Project based assessment of course projects


    Assessment and Mapping with CLO1 , CLO2, CLO3

    • assign icon
      Lab Assessment Test Assignment
      Students must
      Mark as done

      Lab Assessment Test (based on course project presentation and final test)


    • forum icon
      Discussion Thread (W-13): What you learn Today Forum
      Students must
      View
      Make forum posts: 1

  • Week 14 (Final Exam)


    Topics: Week 8, 9, 10

    • Students must
      Mark as done

      Final Open Book Examination Answer Script and Guideline [Click on the image]

               

    • Fianl Assessment, Started 17 April, 2021 at 11AM

      FINAL ASSESSMENT [Click Below Link]

    • assign icon
      Final Assessment Question [Spring 21] Assignment
      Students must
      View

      Assessment Completion Time: 4 Hours

    • url icon
      Final_Assessment_Submission_Spring_21 (Sec-PC-A) URL
      Not available unless: You belong to PC-A
    • url icon
      Final_Assessment_Submission_Spring_21 (Sec-A) URL
      Not available unless: You belong to A
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      Final_Assessment_Submission_Spring_21 (Sec-G) URL
      Not available unless: You belong to G