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medini bv

Interactive Physics tutoring with hands-on experiments for engaging and effective learning experiences.

4.7(77)

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Physics tutor - medini bv

Bachelors degree

/ 30 min

Rated 4.7 out of 5 stars.
★★★★★
Student Favorite
Highly rated by students for excellence
77 ratings
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medini - your physics tutor

I'm Medini BV, a Physics tutor with a Bachelors degree and a passion for making learning engaging. With years of experience, my expertise lies in Optics, Nuclear Physics, Relativity, and more. I offer personalized learning plans, real-world applications, and visual learning techniques. From Career guidance to Test prep strategies, I cover it all. My specialties include Physics experiments, lab skills, and review sessions. Whether you need homework help or want to ace your tests, I'm here for college students looking to excel in Physics. Let's explore the fascinating world of Physics together!

medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA

medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA

Physics class snapshot

My tutoring approach is centered on problem-solving, collaboration, conceptual understanding, and interactive learning. I specialize in subjects like Electricity, Magnetism, Mechanics, and more, catering to college-level students. By leveraging tech tools such as digital whiteboards, interactive 3D models, and video conferencing, I create engaging and personalized tutoring sessions. I follow curricula like A-Levels (UK) and Advanced Placement (AP) Program (USA) to ensure comprehensive coverage. My strengths lie in fostering a deep understanding of complex topics through hands-on experiments and interactive lessons, ultimately helping students excel in their academic pursuits.

Academic expertise of your physics tutor

Visual learning icon

Visual learning

Real world application icon

Real world application

Test prep strategies icon

Test prep strategies

Physics experiments icon

Physics experiments

keyLearning

Physics concept taught by medini

Student learned about 7 hours ago

The session focused on data preprocessing techniques in Python, including column selection, data transformation using encoding methods, scaling, normalization, and data grouping. The Student practiced implementing these techniques using Pandas and Scikit-learn on a sample dataset. The next steps involve further data transformation, visualization, and potentially implementing machine learning models.

Data Transformation: Encoding Categorical Variables

Data Transformation: Scaling and Normalization

Data Analysis: Grouping and Aggregation

Feature Selection: Dropping Irrelevant Columns

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Student learned about 2 months ago

The session involved debugging line sensor and encoder code for a robot. The student worked on resolving errors in the encoder code and troubleshooting issues with sensor readings. The tutor provided guidance and code modifications to achieve functional sensor readings. The next step is to integrate the sensor code with the motor control code for robot movement, planned for the next session.

Hardware Connections and Pin Assignments

Analog vs. Digital Readings

Library Integration and Troubleshooting

Understanding Sensor Calibration

Identifying and Resolving Code Errors

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Student learned about 2 months ago

The Student and Tutor worked on debugging the Student's line-following robot code by adjusting sensor pin configurations and integrating the code with the robot's hardware. They tested and modified code related to line sensor readings, motor control, and calibration routines to improve the robot's performance. The tutor will rewrite the code and share it for testing in the next session, focusing on assessment file requirements.

Line Sensor Pin Configuration

Library Integration and Management

Calibration Process for Line Sensors

Debugging Strategy: Step-by-Step Approach

Motor Speed Configuration

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Student learned about 2 months ago

The Student and Tutor discussed Python modules, packages, and libraries, focusing on installing external libraries with pip. The session covered pandas Series and DataFrames, demonstrating their creation and basic indexing. The Student began working on reading an Excel file into pandas and will continue practicing indexing and column name manipulation for homework.

Reading Data with Pandas

Modules

Libraries

and Packages

PIP - Python Package Index

Pandas: Series vs. DataFrame

Indexing with .loc and .iloc

Exploring Data: .head() and .tail()

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Student learned about 2 months ago

The Student reviewed voltage divider circuits and derived expressions for output voltage, including scenarios with variable resistance. They worked through problems involving sensitivity analysis and flex sensors, designing a circuit and deriving a formula for flex angle. The Student was assigned to complete the remaining questions as homework and email them for review.

Flex Sensor Application

Sensitivity Analysis

Resistance Perturbation & Linear Approximation

Voltage Divider Circuit Analysis

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Student learned about 2 months ago

The Student and Tutor reviewed the architecture of the Pololu 3pi robot and practiced basic programming using Arduino IDE. The Student worked on modifying LED control, bump sensor testing, and line sensor testing codes to understand sensor-based interaction and robotic programming. The next session is planned to recheck the line follower board code and to review the lab sheet.

Digital I/O and LED Control

Bump Sensor Interfacing

IR Line Sensors and Analog Input

Conditional Logic with `if`

`else if`

and `else`

Serial Communication and Debugging

Arduino Libraries and Namespace

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medini - Physics tutor also teaches

Optics

Optics

Electricity

Electricity

Magnetism

Magnetism

Relativity

Relativity

Nuclear Physics

Nuclear Physics

Thermodynamics

Thermodynamics

Student types for physics class

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College

Classroom tools used by physics tutor

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Interactive 3D models

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Video conferencing

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Practice worksheets

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Assessments

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Flashcards

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