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Topic outline
- Welcome to Object-Oriented Programming II - Lab
Welcome to Object-Oriented Programming II - Lab
Object-Oriented Programming II Lab
Course Code: CSE234 || Credits: 2
Welcome my dear students to the course of Object-Oriented Programming-II Lab(CSE-234). 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. You will find all the necessary materials for learning to start with right here on this page. Let's get started!
Instructor Information:
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Course Teacher: Majidur Rahman
Designation: Lecturer
Contact: +8801975291437
Email: majidur.cse@diu.edu.bd
Office Address: Room #903, Daffodil Tower-05, 4/2, Sobhanbag, Dhanmondi, Dhaka-1207
Appointment in Google Calendar: Click Here
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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 rationale 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
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Able to solve the computational problem using Python programming
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CLO2
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Able to develop an object-oriented solution using Python
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CLO3
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Able to apply OOP and Python knowledge in solving a problem
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Teaching and Learning Activities (TLA):
TLA1
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Interactive discussion using Online/multimedia or whiteboard.
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TLA2
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Group presentation regarding related problems and assigned tasks.
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TLA3
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Evaluation of class performances to reach each student in a class for
every topic.
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Text Books:
Reference Books:
1. Programming with Python, T.R. Padmanabhan, Springer, 2016
2. Python for Data Analysis, Wes McKenny, O’Reilly, 2018
Online LAB
- Topic 1
Topic 1
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
Course Content Link:
- Topic 2
Topic 2
Lesson-2:
- Operators;
- Control structures;
- Program development;
- Built-in functions;
- Augmented assignments. (Ref. Text, 74-108)
Lab 02:
- Problem-solving using Python-based on the discussion.
Course Content Link:
Assessment and Mapping with CLO1
- Topic 3
Topic 3
Lesson-3:
- Functions: define and using the function,
- Python standard library,
- Scope rules,
- The default parameter value. (Ref. Text, 120-148),
- Discussion on Course Projects.
Lab 03:
Course Content Link:
Assessment and Mapping with CLO1
- Topic 4
Topic 4
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
Course Content Link:
Assessment and Mapping with CLO1
- Topic 5
Topic 5
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
Course Content Link:
Assessment and Mapping with CLO1
- Topic 6
- Topic 7
Topic 7
Topics: Week 3 – Week 6
- Topic 8
Topic 8
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 08:
- Working with OOP using Python in Google Colab/ Jupyter notebook
Course Content Link:
Assessment and Mapping with CLO1 , CLO2
- Topic 9
Topic 9
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
Course Content Link:
Assessment and Mapping with CLO1, CLO2
- Topic 10
Topic 10
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
Course Content Link:
Assessment and Mapping with CLO1 , CLO2
- Topic 11
This topic
Topic 11
Lab 12:
Assessment and Mapping with CLO1 , CLO2, CLO3
- Topic 12
Topic 12
Dear Student,
You are required to submit the project considering the following things:
- You should submit the code file of the project.
- You should submit the video presentation file of the project as a group through Google Meet Recording.
- Only one member of the group should submit the files.
- Maintain the deadline(15 December 2020, 11:59 PM) strictly.
- Topic 13
- Topic 14