This beginner math course follows the Beast Academy 2 curriculum. Students will build a strong foundation in core math concepts including place value, addition, subtraction, comparing numbers, expressions, odd and even numbers, and problem-solving strategies. The class also introduces shapes, patterns, and basic measurements to strengthen math reasoning. Through engaging activities and step-by-step instruction, students will gain confidence and develop essential problem-solving skills.

This course follows the Beast Academy Level 4 curriculum, designed to challenge and inspire advanced elementary learners. Topics include: 4A: Shapes, multiplication, and exponents 4B: Counting strategies, division, and logic puzzles 4C: Factors, fractions, and integers (including negative numbers) 4D: Fractions, decimals, and basic probability Through engaging problems and visual learning, students will strengthen their conceptual understanding and problem-solving skills.

The course is designed for motivated students aiming to score 18+ on the January 2026 AMC 8 exam. Honor Roll (top 5% nationally) threshold is typically around 18. Each session targets one or two high-frequency concepts found in the most challenging portion of the exam — questions 18–25 — with a focus on multiple methods and time-saving strategies. Topics include (but are not limited to): • Ratios • Speed/time problems • Averages & weighted means • Arithmetic sequences • Area of triangles and circles • Prime factorizations • Diophantine equations • Combinatorics • Probability Prerequisites: • Foundation in Prealgebra • Ability to score 15+ on a past AMC 8 exam within 90 minutes (official exam time is 45 minutes).

Beast Academy Math Level 3 is a dynamic math program designed for advanced Grade 2 and Grade 3 students. With engaging activities and real-life problem-solving, students will strengthen their math skills and build a solid foundation for further learning. MAT301 (for students aged 8-10) will follow Beast Academy 3 curriculum.

Formal Probability & Statistics A Rigorous Course for Advanced Middle-School Students Course Format: Emphasis on definitions, reasoning, and problem solving Course Focus: This course presents probability and statistics as a formal mathematical discipline. Students learn to reason about uncertainty using precise definitions, logical structure, and carefully stated assumptions. The course builds a foundation for advanced study in mathematics, science, and quantitative fields. ⸻ Section I — Foundations of Probability Students begin by developing the formal language of probability. Experiments are described in terms of sample spaces and events, which are treated as sets. Fundamental set operations are introduced and used to combine and analyze events. The axioms of probability are then presented, establishing probability as a mathematical function governed by strict rules. Counting techniques, including permutations and combinations, are developed to systematically enumerate outcomes. These ideas culminate in the classical definition of probability for equally likely outcomes. Core concepts include: • Sample spaces and outcomes • Events and set operations • Axioms of probability • Counting principles • Classical (uniform) probability models ⸻ Section II — Conditional Probability and Random Variables Building on the foundational framework, students examine how probabilities change when additional information is known. Conditional probability is introduced through restricted sample spaces, leading naturally to the formal concept of independence. The course then shifts from events to numerical descriptions of randomness through discrete random variables. Students study probability mass functions and learn how distributions encode probabilistic behavior. Expectation is introduced as a weighted average, providing a rigorous notion of “long-run average.” Core concepts include: • Conditional probability • Independence • Discrete random variables • Probability mass functions • Expected value ⸻ Section III — Variability, Data, and Statistical Reasoning In the final section, attention turns to variability and the connection between probability models and observed data. Students study variance and standard deviation as measures of spread, followed by empirical distributions derived from data. The informal Law of Large Numbers explains how theoretical probabilities emerge through repeated experiments. The course concludes with sampling and estimation, emphasizing bias, variability, and careful interpretation of results. Throughout, students are trained to state assumptions clearly and evaluate statistical claims critically. Core concepts include: • Variance and standard deviation • Empirical distributions • Law of Large Numbers (informal) • Sampling and estimation • Statistical interpretation and assumptions ⸻ Academic Outcomes Students completing this course will be able to: • Apply precise mathematical definitions to probabilistic problems • Reason logically about uncertainty and randomness • Distinguish between theoretical models and empirical data • Interpret statistical results with clarity and rigor

This class provides a clear and structured introduction to the core topics of high school geometry. Over 13 lessons, students will explore basic geometric objects, triangles, right triangles, polygons, perimeter and area, circles, transformations, and 3D solids. The course emphasizes rigorous proofs and develop strong logical reasoning skills.