Faria Jaheen
Math Mavens Unite: Dive into Numbers with a Twist!
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Faria Jaheen
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
Faria - Know your 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


Student types for classes
College
School
All Levels
Adult / Professional
Class overview
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
Elementary School Math
Geometry
High School Math
Middle School Math
Algebra
Math
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Mathematics concepts taught by Faria
The tutor guided the student through advanced programming concepts in Python, focusing on game development. They implemented features like game start conditions, game over mechanics, dynamic ball acceleration based on paddle interaction, and a scoring system. The session concluded with a review of the completed bouncing ball game and a look ahead to more complex game development projects.
Game Initialization and Control Flow
Implementing Game Over and Delays
Dynamic Ball Acceleration
Score Tracking and Display
The student and tutor worked through a Python programming session, focusing on building a game with the Tkinter library. They debugged code, explained program logic line by line, and discussed game mechanics like movement and collision detection. The next session will involve further enhancements to the game.
Object-Oriented Programming (OOP) in Python
Tkinter for GUI Development
Game Loop and Event Handling
Coordinate System and Movement in Graphics
Python Control Flow: If
Elif
Else
The tutor and student worked extensively to troubleshoot Python and environment setup issues within VS Code. They attempted to diagnose and fix problems with Python installation, pip, and virtual environments, which proved to be challenging. The plan for the next session is to focus on theoretical concepts before revisiting the setup.
Visual Studio Code (VS Code) Environment
Python Installation and Environment Setup
Using the Terminal and Command Line Interface (CLI)
Jupyter Notebooks and Kernels
The Tutor guided the Student in installing and configuring Visual Studio Code for Python development. They explored VS Code's interface, installed necessary extensions like Python and Jupyter, andTroubleshooted environment setup issues for running Python code and notebooks. The next steps involve resolving the kernel selection problem.
Visual Studio Code (VS Code) Setup
VS Code Extensions and Environments
Working with Jupyter Notebooks in VS Code
Source Control and Git
The Tutor and Student worked on developing a Python game, focusing on code modifications within Jupiter Lab. They discussed theoretical concepts like Python environments and boolean variables, and implemented features such as random ball positioning and mouse event bindings for game control. The Tutor outlined that completing the game will require moving to subsequent chapters.
Event Binding in Game Development
Random Number Generation in Python
Python Variables: True and False
Anaconda and Environments
The Student and Tutor worked on creating a "bouncy ball" animation in Python using the Tkinter library. They focused on object-oriented programming concepts by defining a `Ball` class, implementing animation logic, and debugging the code. The session concluded with saving the program, with plans to address remaining bugs in the next class.
Object-Oriented Programming: Class Definition and Instance Creation
Random Color Selection with `random.choice`
Jupyter Notebook Kernel Management
Tkinter Window and Canvas Setup for Animation

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