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1 calculus teacher in Poznan

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1 calculus teacher in Poznan

Adeel - Moscow, RussiaC$11
C$11Mathematics Teacher | Expertise in Calculus, Algebra, Trigonometry, Linear Algebra, Geometry, and Data Science
I am a dedicated and passionate Mathematics Teacher with a robust foundation in teaching and a profound understanding of key mathematical disciplines. My expertise spans across six core areas: Calculus, Algebra, Trigonometry, Linear Algebra, Geometry, and Data Science. With a commitment to fostering a love for mathematics and empowering students to excel, I employ innovative teaching methods and personalized approaches to ensure each student reaches their full potential. Expertise Areas: 1. Calculus: Differential Calculus: Proficient in teaching the fundamentals of derivatives, rates of change, and optimization problems. Integral Calculus: Experienced in explaining integration techniques, area under curves, and applications in real-world scenarios. Multivariable Calculus: Skilled in handling advanced topics such as partial derivatives, multiple integrals, and vector calculus. 2. Algebra: Elementary Algebra: Adept at teaching basic algebraic concepts, including linear equations, polynomials, and factoring. Intermediate Algebra: Experienced in guiding students through quadratic equations, inequalities, and complex numbers. Advanced Algebra: Proficient in teaching topics such as matrices, determinants, and systems of equations. 3. Trigonometry: Basic Trigonometry: Skilled in teaching the fundamentals of trigonometric functions, identities, and their applications. Advanced Trigonometry: Experienced in handling more complex topics such as trigonometric equations, inverse functions, and polar coordinates. Geometry Integration: Proficient in integrating trigonometry with geometry to solve real-world problems and enhance understanding. 4. Linear Algebra: Matrix Operations: Proficient in teaching matrix addition, subtraction, multiplication, and determinants. Vector Spaces: Experienced in explaining vector spaces, subspaces, and linear transformations. Eigenvalues and Eigenvectors: Skilled in teaching the concepts of eigenvalues, eigenvectors, and their applications in various fields. 5. Geometry: Euclidean Geometry: Adept at teaching the fundamentals of points, lines, angles, and shapes. Coordinate Geometry: Experienced in guiding students through the use of coordinates and algebraic methods to solve geometric problems. Advanced Geometry: Proficient in teaching topics such as conic sections, transformations, and three-dimensional geometry. 6. Data Science: Data Analysis: Skilled in teaching statistical methods, data visualization, and interpretation of data. Machine Learning: Experienced in introducing basic machine learning concepts and algorithms. Programming for Data Science: Proficient in teaching programming languages such as Python and R, and their applications in data science. Teaching Philosophy: Interactive Learning: I believe in creating an interactive and engaging learning environment where students can actively participate and explore mathematical concepts. Personalized Instruction: Tailoring my teaching methods to meet the unique needs and learning styles of each student, ensuring they grasp difficult concepts with ease. Real-World Applications: Emphasizing the practical applications of mathematics to help students see the relevance and importance of what they are learning. Professional Achievements: Curriculum Development: Designed and implemented comprehensive curricula that align with educational standards and promote critical thinking. Student Success: A proven track record of helping students achieve significant improvements in their mathematical skills and test scores. Professional Development: Continuously engage in professional development to stay updated with the latest teaching methodologies and technologies.
Calculus · Algebra · Trigonometry
Sherman Siu Man - Tartu, EstoniaC$57
C$57Pure Mathematics Applied Mathematics Advanced Mathematics
Mathematics involves the description and manipulation of abstract objects that consist of either abstractions from nature or—in modern mathematics—purely abstract entities that are stipulated to have certain properties, called axioms. Mathematics uses pure reason to prove properties of objects, a proof consisting of a succession of applications of deductive rules to already established results. These results include previously proved theorems, axioms, and—in case of abstraction from nature—some basic properties that are considered true starting points of the theory under consideration.[1] Mathematics is essential in the natural sciences, engineering, medicine, finance, computer science, and the social sciences. Although mathematics is extensively used for modeling phenomena, the fundamental truths of mathematics are independent of any scientific experimentation. Some areas of mathematics, such as statistics and game theory, are developed in close correlation with their applications and are often grouped under applied mathematics. Other areas are developed independently from any application (and are therefore called pure mathematics) but often later find practical applications.[2][3] Historically, the concept of a proof and its associated mathematical rigour first appeared in Greek mathematics, most notably in Euclid's Elements.[4] Since its beginning, mathematics was primarily divided into geometry and arithmetic (the manipulation of natural numbers and fractions), until the 16th and 17th centuries, when algebra[a] and infinitesimal calculus were introduced as new fields. Since then, the interaction between mathematical innovations and scientific discoveries has led to a correlated increase in the development of both.[5] At the end of the 19th century, the foundational crisis of mathematics led to the systematization of the axiomatic method,[6] which heralded a dramatic increase in the number of mathematical areas and their fields of application. The contemporary Mathematics Subject Classification lists more than sixty first-level areas of mathematics.
Calculus · Algebra
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