Natania Yasuo
Motivational GCSE Math lessons with problem solving




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Natania Yasuo
Bachelors degree
/ 55 min
Natania - Know your tutor
Hello! I am Natania or Nia for short. I have a background in Biochemical Engineering and I am deeply passionate in learning and helping students understand Math concepts. I have over 3 years of teaching experience, especially with the GCSE curriculum and i specialize in concept learning, grade improvement, practice exams and test preparation. When it comes to my teaching technique, I explain each process step by step and always go at the students' pace. Each session's pace will be determined by you and your needs, so there is absolutely no need to worry about needing to stop and retrace our steps. Whether you need help in completing homework or to prepare for a standardized Math test, I'm here to give you a thorough understanding for all your Mathematical inquiries. Outside teaching, I find enjoyment in reading, playing basketball and watching movies.
GCSE tutor skills
GCSE (UK)
Homework help
A-Levels (UK)
Concepts learning
AI modules
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GCSE prep overview
I am a dedicated and experience Math teacher with over 3 years of expertise in the field of education. I offer Math tutoring sessions for middle school to high school level students, and non-traditional students or returning adults are always welcome. With a passion for mathematics and a commitment to helping my students succeed, I honed my teaching skills to create engaging and effective online lessons. My adaptability and use of digital tools often prove to be a reliable resource for interactive learning. My tutoring sessions are customised to the needs and learning style of the student. I explain concepts which may be difficult to understand and promote asking questions whenever needed. I conclude each lesson by discussing lesson conclusions and ensuring all concepts are thoroughly understood. We can also go over homework and assignments together for test preparation. Let's understand the world of Maths together!
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GCSE concepts taught by Natania
The session focused on multivariable calculus, reviewing the calculation of first and second-order partial derivatives for various functions. The Student also learned and applied the Hessian matrix and its discriminant to classify critical points as relative minima, maxima, or saddle points. The Tutor and Student discussed plans for future sessions to cover constrained optimization and Lagrange multipliers.
The Hessian Discriminant Test for Critical Point Classification
Understanding Partial Derivatives (fₓ and fᵧ)
Higher-Order Partial Derivatives (fₓₓ
fᵧᵧ
fₓᵧ)
Locating Critical Points for Multivariable Functions
The Student and Tutor practiced finding first and second-order partial derivatives for a variety of multivariable functions. They applied differentiation rules such as the product rule, quotient rule, and chain rule to polynomial, exponential, rational, and square root expressions. The session concluded with a plan to review a specific challenging problem involving complex algebraic simplification in the next session.
Second-Order Partial Derivatives
Treating Variables as Constants in Partial Differentiation
Application of Advanced Differentiation Rules
Simplifying Partial Derivative Expressions
Mixed Partial Derivatives (fₓᵧ and fᵧₓ)
The Student and Tutor worked through 16 problems involving partial derivatives and critical points for functions of two variables. They practiced calculating derivatives and solving simultaneous equations to find critical points, as well as interpreting maxima, minima, and saddle points from contour plots. The session concluded with a plan to start a new topic after a short break.
Finding Critical Points: Algebraic Methods
Analyzing Contour Plots for Extrema
Interpreting 3D Surface Behavior: Extrema & Saddle Points
Advanced Partial Derivatives: Chain Rule & Logarithms
Fundamentals of Partial Derivatives
Student and Tutor engaged in an exam revision session covering key Mathematics concepts. They practiced finding equations of parallel and perpendicular lines, solved problems related to networks including the Handshaking Lemma and minimum spanning trees, and reviewed time calculations. The session focused on problem-solving techniques and understanding core principles for each topic.
Network Fundamentals: Vertices
Edges
and Degrees
The Equation of a Straight Line: y = mx + c
Parallel Lines: Identical Gradients
Perpendicular Lines: Negative Reciprocal Gradients
Finding the Equation of a Line: A Step-by-Step Guide
The Handshaking Lemma: Counting Network Connections
The Student and Tutor practiced solving problems involving partial derivatives to find marginal costs and production rates for multi-variable functions. They then learned the formula for finding the equation of a tangent plane to a surface and applied it to several examples, including identifying errors in a sample solution. The Tutor will send the practice file to the Student.
Marginal Analysis with Partial Derivatives
Equation of a Tangent Plane
Product and Chain Rules in Partial Differentiation
The Student and Tutor extensively practiced calculating first-order partial derivatives for various multivariable functions. They applied chain, product, and quotient rules to these calculations, interpreted partial derivatives from level curves, and analyzed real-world scenarios. They also discussed plans for an additional hour-long session on Sunday for further practice.
Introduction to Partial Derivatives
Contextual Interpretation of Partial Derivatives
Interpreting Partial Derivatives from Level Curves
Applying Differentiation Rules to Partial Derivatives
Learning tools used by GCSE tutor
Digital whiteboard
Practice worksheets
Assessments
Exam oriented GCSE classes
Open Q&A
Chat for quick help
Note taking
Mobile joining
Pets are welcomed

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