medini bv
Collaborative Computer Science & coding lessons with creativity
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medini bv
Bachelors degree
/ 55 min
medini - Know your tutor
Hello, I'm Medini BV, a Computer Science and Robotic Engineer and tutor with a Bachelors in Electronics and Masters in Robotics. Am Having 3+ years of Industrial experience and 2+ years of tutoring. In this journey i have poured knowledge to 200+ students including working professional, Engineering, College and School students. My teaching philosophy revolves around making complex concepts simple for students and give depth knowledge with practical implementation. I specialize in teaching Python, Artificial Intelligence, Machine Learning. Deep Learning, Computer Vision, Data Science, C, C++, Embedded Systems, Electronics, Arduino programming, ROS and STEM for kids. I believe in engaging students through interactive learning methods to ensure they grasp the subject thoroughly. Let's embark on a learning journey together!
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA


Programming tutor specialities
Next Generation Science Standards - NGSS (USA)
Job readiness
Debugging
Common Core State Standards - CCSS (USA)
State-Specific Standards (USA)
Paired coding
Exam prep
Advanced Placement (AP) Program (USA)
Assignment help
Learner for programming class
All Levels
College
Adult / Professional
School
Programming class overview
As a Computer Science and Programming tutor, I believe in making learning engaging and collaborative. I personalize classes based on students' interests, level of understanidng making the session more interactive. My teaching style is empathetic and practical, focusing on real-world applications of concepts. I also incorporate creative methods to enhance learning, such as gamified activities. I create a structured plan with exercises to help students build their skills gradually. I aim not only to help them academically but also to prepare them for internships and jobs in leading tech companies giving them industrial exposure and requirements.
Your programming tutor also teaches
Artificial Intelligence
C
C++
Coding for kids
Computer Science
Matlab

15 days Refund
Free Tutor Swap

Computer Science concepts taught by medini
The student and tutor reviewed and practiced applying Thevenin's theorem to solve complex electrical circuits. They worked through multiple examples involving different circuit configurations, including those with multiple voltage sources, current sources, and various resistor combinations, and briefly touched upon converting between Thevenin and Norton equivalents. The tutor plans to send more practice questions to the student.
Thévenin's Theorem
Norton's Theorem
Superposition Theorem (Implicit Application)
Circuit Analysis Techniques for Multiple Sources
The Tutor and Student reviewed Thevenin's and Norton's theorems, practicing the conversion between the two equivalent circuits. They worked through example problems, focusing on calculating equivalent resistance, Thevenin voltage (V_TH), and understanding voltage division in different circuit configurations. The session aimed to solidify the student's understanding of these network reduction techniques.
Norton's Theorem Fundamentals
Thevenin's Theorem vs. Norton's Theorem
Calculating Equivalent Resistance (R<0xE2><0x82><0x99> / R<0xE2><0x82><0x97><0xE2><0x82><0x9B>)
Determining Thevenin Voltage (V<0xE2><0x82><0x97><0xE2><0x82><0x9B>) and Norton Current (I<0xE2><0x82><0x99>)
The class covered Thevenin's and Norton's theorems for simplifying electrical circuits. The student practiced applying these theorems to calculate equivalent voltage/current sources and resistances in given circuits, with further concepts like AC circuit analysis and phasors mentioned for future sessions.
Series vs. Parallel Resistances and Voltage/Current Behavior
Circuit Reduction and Equivalence
Norton's Theorem
Thévenin's Theorem
The session covered mesh analysis, including super mesh analysis for circuits with current sources bridging loops. The tutor and student also reviewed the superposition theorem, practicing its application to calculate currents and voltages by considering each source independently and then summing the results. The student was assigned practice problems for both mesh and superposition theorems.
Mesh Analysis
Superposition Theorem
Supermesh Analysis
The Tutor and Student reviewed advanced regression models, focusing on XGBoost as a superior alternative to Decision Trees and Random Forests due to its gradient boosting approach. They implemented XGBoost using Python, discussed key parameters and ensemble methods (bagging vs. boosting), and explored visualization techniques for model importance and tree structure. The next steps will involve moving to classification models.
Ensemble Learning: Bagging vs. Boosting
XGBoost (Extreme Gradient Boosting)
XGBoost Regressor vs. Ranker
The student and tutor practiced applying nodal analysis and the supernode concept to solve complex electrical circuits. They worked through several example problems, focusing on identifying nodes, formulating equations, and solving for unknown voltages and currents. The next topic planned is supermesh analysis.
Supermesh Analysis
Nodal Analysis
Supernode
Ideal vs. Practical Components
Teaching tools used by tutor
Jupyter Notebook
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