MOONSHOT ACADEMY

MOONSHOT ACADEMY

Yiming Zhang

Math Teacher

Yiming graduated from UCLA with BSc Applied Mathematics and BA Economics. He became part of MSA in 2023.

He primarily teaches AP Calculus AB/BC, AP Statistics, and IG/A-level Mathematics as a math instructor. His classes focus on developing a solid academic foundation while fostering students' critical thinking and communication skills.

He is deeply passionate about teaching and learning, with a wide range of interests, including mathematical modeling, music, and sports. Dedicated to ensuring students fully grasp concepts and think critically, he often incorporates group collaboration and class presentations into his teaching methods.

Curriculums2

MATH2901: Integrated Math 2: Analysis

This course is a continuation of MATH1901. It is designed to prepare learners for advanced studies in mathematics, engineering, or related fields. In the first semester, learners study probability and distribution, covering sets, Venn diagrams, conditional probability, and the binomial theorem. They explore permutations, combinations, and distributions such as binomial and normal. Next, the focus shifts to exponential and logarithmic functions, including their properties, equations, and real-world applications. The semester concludes with conic sections, exploring parabolas, circles, ellipses, and hyperbolas. The second semester dives into trigonometry, starting with radian and degree measures, the unit circle, and trigonometric functions. The course advances to analytical trigonometry, including trigonometric identities, inverse functions, and sum/difference formulas, with a section on polar coordinates. The final units cover sequences and series, focusing on arithmetic and geometric sequences, infinite series, and convergence/divergence. The course ends with a comprehensive review and final exams, offering solid preparation for AP-level mathematics and beyond.

MATH5004: Advanced Statistics

This course is for learners who have a solid foundation in basic algebra and sufficient interest to explore statistics as a tool for causal analysis and research. The first term of the course covers one-variable and two-variable data, probability, random variables and distributions, and estimation. The topics in the second term include hypothesis testing for one sample and two sample distributions and regression. Also, we will equip you with any necessary training for the AP statistics test and an exploration report using statistical methods will be required.

Projects1

Exploring Statistical Methods Through Real-World Data

Disciplines/Subjects: Statistics, Data Analysis, Research Methods Key Themes: Statistical Testing, Data Collection, Sampling Methods, Data Visualization In this project, learners will choose a topic of personal interest and conduct a statistical research study using real-world data. The project will involve collecting data through appropriate sampling methods, applying statistical tests learned throughout the course (such as z-tests, t-tests, chi-square tests, and tests for slope), and analyzing the data using mathematical calculations and graphical representations. Learners will interpret the results to identify patterns and relationships and present their findings in a clear, organized statistical report.