medini bv
Engaging Science Tutor using interactive tools for immersive learning experiences and conceptual understanding.
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School Science tutor - medini bv
Bachelors degree
/ 30 min
About your science tutor
I'm Medini BV, a Bachelors-educated tutor with a focus on School Science for college students. With years of experience, I offer tutoring in Health Science, Astronomy, and Environmental Science. My specialities range from Career guidance to French pronunciation skills and Math Tricks. I excel in personalized learning plans, ensuring each student benefits from tailored approaches. Let's embark on a learning journey together to conquer science subjects with ease and confidence!
Specialities of your science tutor
Career guidance
Visual learning
Real world application
Science experiments
Personalized learning plans
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA
Science class overview
My teaching methodology revolves around laying a strong foundation by focusing on fundamentals first, followed by hands-on learning experiences. I engage students through interactive and visually stimulating lessons, incorporating data analysis to enhance comprehension. Specializing in subjects like Environmental Science, Health Science, Astronomy, and School Science, I cater to college-level students. Through a blend of online platforms like digital whiteboards, interactive quizzes, and game-based learning tools along with offline resources, I ensure personalized tutoring that aligns with various curricula such as A-Levels, AP Program, and IB standards. This approach not only fosters a deeper understanding of the subjects but also cultivates critical thinking skills for academic success.
School Science concept taught by medini
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
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
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
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()
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
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
Your science tutor also teaches
Environmental Science
Astronomy
Health Science
School Science
Student types for science class
Learning Disabilities
College
Teaching tools used by science tutor
Digital whiteboard
Quizzes
Flashcards
Interactive 3D models
Interactive diagrams
Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
