- What is programming and why Python?
- Writing Python programs from scratch
- Variables and data types
- Making decisions using if–else
- Repeating tasks naturally with loops
- Organizing logic using functions
- Hands-on activities:
- 🎮 Simple interactive programs
- 🎮 Logic-based mini challenges
Object Oriented Programming
Fee: 12,000 /- PKR
per month
- Duration: 4.5 Months
- Starting From: 26 January, 2026
- Mode: Online
- Days: Wednesday & Thursday
- Timing: 1:00 PM - 2:30PM
- Location: ITU 6th Floor Arfa Tower
About Course
Object Oriented Programming is a comprehensive one-semester course that strengthens students’ foundations in C++ programming while introducing core Object-Oriented Programming (OOP) concepts. The course begins with a revision of arrays, pointers, and structs, then gradually moves into classes, encapsulation, constructors, inheritance, polymorphism, and operator overloading. Students gain hands-on experience through real-world projects such as a text editor, calculator, chess game, and huge integer system, along with STL-based data structures and template programming. The course also covers debugging techniques, memory management, exception handling, and software design principles. By the end of the semester, learners develop strong problem-solving skills, write well-structured OOP code, and understand how to design scalable and efficient software systems.
Course Outline
Lecture 1: Build confidence with core Python concepts
Lecture 2: Apply Python basics to real applications
- Writing clean and modular Python code
- Using randomness to simulate real-world events
- Introduction to tensors using PyTorch (numbers in multiple dimensions)
- Creating and manipulating tensors for experiments
- Mini-project:
- 🎲 Dice game simulation
- 🎲 Probability experiments using tensors
Lecture 3: Turn numbers into meaningful visuals
- Why data visualization matters
- Introduction to Matplotlib & Seaborn
- Creating: Bar graph, Pie charts
- Understanding and explaining charts
- Mini-project:
- 📊 Visualize game results or survey data
Lecture 4: Help students understand how computers see images
- What images are made of (pixels & colors)
- Applying filters and transformations to images
Lecture 5: Explore modern AI tools in a guided way
- What AI models are and how they learn
- Introduction to Vision tasks(Classification, Detection)
- Using pretrained AI models on real images
- Mini-project:
- 🚦 Recognizing traffic signs
- 📚 Real-time Traffic Analysis
Lecture 6: Develop awareness beyond coding
- Introduction to transformer models
- Building and customizing a simple chatbot
- Using models like GPT-2 safely and responsibly
- Final-project:
- 🤖 Create your own AI assistant
- How AI answers questions using knowledge
- Responsible and ethical use of AI
- Combine Python + visuals + AI into one mini application
🎓 Outcomes
- Core Python programming: variables, loops, functions, and decision-making.
- Building interactive games and implementing game logic with scoring systems.
- Creating visualizations using Matplotlib and Seaborn to represent data.
- Understanding image processing and applying AI models for object detection.
- Introduction to AI and transformer models for building chatbots and smart applications
- Combining Python, visuals, and AI into mini-projects while learning ethical and responsible AI use