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Peter
- Rate R597
- Response 24h

R597/h
1st lesson free
- Maths
- Algebra
- Statistics
- Algorithms
Bilingual (English/Chinese) tutor with 20 years of software development experience, specializing in math, statistics, algebra, and algorithms for high school and university students.
- Maths
- Algebra
- Statistics
- Algorithms
Lesson location
About Peter
I graduated from Tsinghua University—China’s top-ranked university—with a degree in Mechanical Engineering and over the past 20 years I’ve designed, built, and led software projects across Network and Security. I’m fluent in both English and Chinese, and I’m currently enhancing my skills as a student at the British Columbia Institute of Technology (BCIT), where I’m deepening my expertise in applied algorithms, data analysis, and software architecture.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +9
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Undergraduate
Masters
Doctorate
Other
MBA
- English
- Mandarin
Languages in which the lesson is available :
English
Mandarin
High-School Algebra & Functions • Linear and quadratic equations, inequalities, and systems • Polynomial factorization, exponents, radicals, and logarithms • Function properties, transformations, and inverse functions Pre-Calculus & Trigonometry • Polynomial, rational, exponential and logarithmic functions • Unit circle, trigonometric identities, solving trig equations • Sequences, series, and introductory limits First-Year Calculus • Limits and continuity—ε-δ definitions and intuitive interpretations • Derivatives: rules, implicit differentiation, and applications (optimization, related rates) • Integrals: antiderivatives, definite integrals, area/volume applications, and FTC Linear Algebra Foundations • Vectors, matrices, and systems of linear equations (Gaussian elimination) • Matrix operations, inverses, determinants, and Cramer’s rule • Vector spaces, bases, dimension, and eigenvalues/eigenvectors overview Introductory Statistics & Probability • Descriptive statistics: measures of central tendency and dispersion • Probability rules, random variables, discrete & continuous distributions (Binomial, Normal) • Sampling, confidence intervals, and basic hypothesis testing Algorithmic Thinking & Basic Data Structures • Algorithm analysis: Big-O notation and complexity • Fundamental data structures: arrays, linked lists, stacks, queues, trees, and graphs • Core algorithms: sorting (bubble, insertion, merge, quick), searching (linear, binary), and simple recursion
Rates
Rate
- R597
Package rates
- 5h: R2984
- 10h: R5969
free lesson
The free first lesson with Peter allows you to get to know the tutor and discuss your needs and expectations.
- 45min
online
- R597/h
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