Faria Jaheen
Embark on a Math Adventure with a Data Enthusiast!




Show all photos
Faria Jaheen
Bachelors degree
/ 55 min
Faria - About your AP tutor
I am a solutions-driven and award-winning early career graduate student with over five years research activities in Asia and North America, that includes computer-assisted surgery training in the School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Canada. I was awarded an International Doctoral Scholarship to begin my PhD studies in Artificial Intelligence applied to surgical workflow data. Moreover, I received Admission Scholarship- Doctorate in my 3rd year of PhD studies. Prior to this I was the recipient of an Academic Scholarship at the American International University-Bangladesh where I graduated with Summa & Magna Cum Laude distinctions. I am a member of several organizations including being Vice President of Electrical Engineering Graduate Students' Association (EEGSA), former student representative at the EECS Faculty Council, and both Secretary & Treasurer and Web coordinator at uOttawa ACM-W Student Chapter – which supports, celebrates, and advocates for the full engagement of women in all aspects of the computing field, along with being a voice for equity, diversity, and inclusion (EDI).
Faria graduated from American International University- Bangladesh


AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Teaching methodology
As a tutor with extensive experience in mathematics, physics, engineering, and coding, my teaching methodology is designed to provide a comprehensive and adaptive learning experience. I aim to develop students' critical thinking, problem-solving skills, and conceptual understanding through a blend of traditional and innovative teaching techniques. Core Principles: 1. Student specific Learning 2. Conceptual Understanding 3. Problem-Solving Skills 4. Integration of Technology Teaching Strategies: 1. Interactive Lectures and Discussions 2. Hands-On Experiments and Projects 3. Collaborative Learning 4. Use of Multimedia Resources My teaching methodology is designed to create a dynamic and supportive learning environment that empowers students to achieve their full potential in mathematics, physics, engineering, and coding. By focusing on conceptual understanding, problem-solving, and the integration of technology, I aim to equip students with the skills and knowledge they need to succeed in their academic and professional endeavors.
Faria - also teaches
AP Calculus AB
AP Computer Science Principles
AP Precalculus
AP Statistics

AP concepts taught by Faria
Student and Tutor engaged in a detailed discussion on polymorphism in Python, covering both method overriding and method overloading. They worked through examples and completed two coding challenges in VS Code, applying these object-oriented programming concepts. The session concluded with a plan to continue with OOP topics before moving on to data structures in future classes.
Polymorphism: Many Forms in Programming
Runtime Polymorphism & Method Overriding
Method Overloading: Same Name
Different Parameters
Method Overloading with Default Arguments
Method Overloading with Variable Length Arguments (`*args`)
The student and tutor worked through challenges related to Python's object-oriented programming, focusing on inheritance and the diamond problem. They practiced modifying code to alter method resolution order and then built a "Superhero Game" by creating child classes that inherited from parent classes and overrode methods.
Instance Attributes vs. Class Attributes
Super() Function in Python
The Diamond Problem in Inheritance
Method Resolution Order (MRO)
Object-Oriented Programming (OOP) Inheritance
The Tutor and Student explored multiple inheritance in Python, covering its definition, practical examples like a `Duck` class, and the challenges posed by the diamond problem. They also practiced implementing multiple inheritance with a `SmartWatch` class and were introduced to Python's Method Resolution Order (MRO) for resolving inheritance ambiguities. The next session will delve deeper into the diamond problem and MRO.
Force Quitting Applications (Windows)
Method Resolution Order (MRO)
The Diamond Problem
Multiple Inheritance
The session covered the use of the `super()` function in Python for inheritance, demonstrating how child classes can leverage parent class methods and initialization. The student practiced implementing this concept through a coding challenge involving creating an `Avenger` class that inherited from a `Superhero` class, focusing on overriding methods and using `super()` to call parent class functionality.
The `super()` Function in Python
Method Overriding
Inheritance: Parent vs. Child Classes
The Student and Tutor worked on advanced Object-Oriented Programming concepts in Python. They focused on implementing static methods for power calculation, understanding inheritance by creating child classes for smart devices, and practicing method overriding with animal classes. The session concluded with successful implementation of these OOP principles.
Static Methods in OOP
Object-Oriented Inheritance Fundamentals
Benefits of Using Inheritance
Method Overriding
Student and Tutor continued their study of Python object-oriented programming, specifically focusing on different types of methods. They learned about and implemented class methods and static methods, completing coding challenges for a `Library` and `CurrencyConverter` class. A new challenge on implementing a power calculation system for a `Hero` class was set up for the next session.
Static Methods in Python
Class Methods in Python
Differentiating Instance
Class
and Static Methods
Python Dictionaries for Structured Data

AP tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
