Unlocking the Potential of ABACUS and Mental Math K-5

Sharanya Narra

$200

Engaging and highly effective training designed to build strong foundational numeracy skills through visualization and mental computation using abacus techniques. This course goes beyond rote learning, fostering a deep understanding of numbers and enhancing cognitive abilities crucial for early mathematical success.

Key Skills:

Proficient Abacus operation (Addition, Subtraction, with multi-digit numbers)
Advanced mental visualization and manipulation of numbers
Significant improvement in calculation speed and accuracy
Introduction to Multiplication and Division concepts (for advanced learners)
Enhanced concentration, memory, and logical reasoning

Learning Outcomes:

Develop exceptional mental math capabilities and numerical fluency
Cultivate stronger focus, attention span, and photographic memory
Build a robust number sense, understanding place value and quantity intuitively
Gain confidence in solving complex arithmetic problems without external tools

Assessment:

In-class participation, regular practice assignments, and speed tests.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Vedic Mathematics (Basic Level) K-5

Sharanya Narra

$200

Explore the fascinating world of ancient Indian mathematical techniques, presented in an engaging, puzzle-like format. This course introduces students to a unique system of mental calculation that promotes creativity, pattern recognition, and an intuitive approach to numbers.

Key Topics:

High-speed addition and subtraction using various Vedic Sutras
Unique multiplication tricks (e.g., "Vertically and Crosswise")
Rapid squaring and cubing techniques
Simplified division methods for quick mental answers
Efficient answer-checking strategies to ensure accuracy

Learning Outcomes:

Achieve significantly faster mental math capabilities for everyday calculations
Develop a deeper appreciation for mathematical patterns and symmetry
Acquire alternative and intuitive problem-solving techniques
Boost confidence and reduce math anxiety through simplified approaches

Assessment:

Regular practice problem sets and application-based quizzes.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Foundations of Algebra Grades 4-6

Sharanya Narra

$150

An essential course designed to prepare students in grades 4-6 for pre-algebra. This program focuses on building core algebraic concepts and problem-solving strategies, ensuring students gain confidence and a solid foundation for advanced middle school math topics. Through engaging activities and practical examples, students will learn to understand variables, equations, and basic algebraic expressions.

Key Concepts to be Discussed:

Understanding Variables & Expressions
Solving Basic One-Step Equations
Introduction to Inequalities
Number Patterns & Sequences
Order of Operations (PEMDAS/BODMAS)
Properties of Operations (Commutative, Associative, Distributive)

Best suited for: Students in grades 4-6 looking to build a strong pre-algebra foundation.

Max 6 Students/Batch

8 Sessions (4 Weeks), 1.5 Hrs/Session

Algebra I Readiness (Bridge Program & MAP Prep) Grades 6-8

Sharanya Narra

$220

This essential bridge program is designed to solidify foundational pre-algebraic skills, ensuring students are fully prepared for success in Algebra I. Through focused instruction and targeted practice, students will develop critical thinking, problem-solving, and reasoning abilities vital for higher-level mathematics. This course also serves as excellent preparation for standardized tests like MAP (Measures of Academic Progress).

Key Topics:

Operations with integers and rational numbers (fractions, decimals)
Understanding variables, algebraic expressions, and properties of real numbers
Solving multi-step linear equations and systems of equations
Introduction to inequalities and their graphical representation
Basic data analysis, statistics, and probability concepts
Ratios, proportions, and percentages in real-world contexts

Learning Outcomes:

Achieve a solidified and confident understanding of all pre-algebraic concepts
Significantly enhance problem-solving, logical reasoning, and critical thinking skills
Be fully prepared and confident to excel in the Algebra I curriculum
Improve performance on standardized math assessments (e.g., MAP test)

Assessment:

Weekly quizzes, problem sets, and a comprehensive final assessment.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Intro to Coding for Middle School (Python-based) Grades 6-8

Sharanya Narra

$200

Embark on an exciting journey into the world of programming with Python! This interactive course uses hands-on coding projects to introduce fundamental concepts, fostering logical thinking, problem-solving skills, and computational creativity. Students will build simple games, interactive stories, and practical tools.

Key Topics:

Core programming fundamentals: variables, data types, and basic input/output
Control structures: understanding and implementing loops (for, while) and conditional statements (if/else)
Introduction to functions for modular and efficient code
Basic algorithms and computational problem-solving strategies
Hands-on coding challenges and guided mini-projects (e.g., simple calculators, guess-the-number games)
Introduction to Python syntax and essential built-in libraries

Learning Outcomes:

Acquire foundational Python programming skills applicable to various fields
Significantly improve logical thinking, computational abilities, and debugging skills
Gain the ability to design and build simple interactive projects from scratch
Develop a strong interest in computer science and future coding endeavors

Prerequisites:

Basic computer literacy. No prior coding experience required.

Tools:

Online Python interpreter or local Python installation (guidance provided).

Assessment:

Completion of coding challenges and final project submission.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Algebra the Eastern Way: High-Speed Problem Solving & Patterns Grades 7-9

Sharanya Narra

$220

This is not your typical algebra course. A popular and high-impact summer bootcamp designed to bridge the often-missed depth in traditional U.S.-based algebra courses. Drawing on algebraic traditions from India, Singapore, and Europe, this course introduces students to rapid problem-solving methods, creative algebraic identities, and non-routine puzzles.

Students solve 200+ carefully curated problems sourced from NCERT (India), GCSE (UK), and Singaporean curricula, along with select problems proposed by Prof. Vinay Kodipelly and Sharanya Narra from their years of teaching in both the U.S. and India. These exercises are strategically chosen to strengthen areas commonly underemphasized in U.S. classrooms—such as algebraic pattern fluency, deep factorization strategies, and equation manipulation.

This is a guided 12-session bootcamp, not a lecture-style class. Students collaborate in small groups, work independently outside class, and actively participate in ongoing discussion through a dedicated WhatsApp group.

Key Topics:

Advanced factorization and identity tricks
Non-routine algebra puzzles and brainteasers
Visual and pattern-based approaches
Strategy-based speed solving
Foundational prep for AMC, MathCounts, and Olympiads

Learning Outcomes:

Mastery of algebraic manipulation beyond standard curriculum
Improved speed, pattern recognition, and problem-solving stamina
Exposure to international math styles and strategies
Readiness for future competition-level math challenges

Best suited for:

Students with a strong Pre-Algebra foundation or currently taking Algebra I
9th graders looking to deepen algebra skills before progressing to Geometry or Algebra II
Motivated learners seeking to gain a competitive edge for problem-solving contests like AMC or AoPS-based math circles

Assessment:

Problem set completion, in-class participation, and challenge problem solutions.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

AP Statistics Prep & R Programming Grades 9-12

Prof. Vinay Kodipelly

$299

This course provides a practical introduction to statistical concepts and their application using the powerful R programming language. It is specifically designed to benefit students planning to take AP Statistics, covering key concepts and methodologies aligned with the AP curriculum. Students will learn to manipulate, visualize, and draw insights from data, building a strong foundation for data science and analytical careers.

Key Topics:

R programming fundamentals (data types, control structures, functions) for statistical analysis
Exploring Data: graphical displays (histograms, box plots, scatter plots) and numerical summaries (mean, median, standard deviation) - *aligned with AP Statistics Unit 1*
Data wrangling and manipulation with essential R packages (e.g., `dplyr`, `tidyr`)
Data visualization techniques using `ggplot2` for creating informative graphs
Basic statistical inference: descriptive statistics, probability distributions (Normal, Binomial, Geometric) - *aligned with AP Statistics Units 2 & 3*
Sampling methods and experimental design - *aligned with AP Statistics Unit 4*
Introduction to hypothesis testing and confidence intervals for means and proportions - *aligned with AP Statistics Units 6 & 7*

Learning Outcomes:

Ability to use R for essential data analysis tasks and statistical computing
Strong understanding of basic statistical concepts and their practical application, particularly those relevant to AP Statistics
Skills in creating compelling and informative data visualizations
Enhanced preparedness and confidence for AP Statistics coursework and the AP exam
Foundation for further study in statistics, data science, and analytics

Prerequisites:

Basic algebra knowledge. No prior coding experience required.

Tools:

RStudio (free, open-source IDE)

Assessment:

Coding assignments, data analysis mini-projects, and a final data visualization project.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Accelerated Algebra I Grades 9-12

Prof. Vinay Kodipelly

$299

This intensive course covers the entire Algebra I curriculum at an accelerated pace, focusing on conceptual understanding and advanced problem-solving techniques. Ideal for motivated students looking to get ahead or reinforce their foundational algebraic skills, preparing them for higher-level mathematics with confidence.

Key Topics:

Linear equations, inequalities, and functions (graphing, solving, applications)
Systems of linear equations and inequalities (graphical and algebraic methods)
Polynomials: operations, factoring techniques, and polynomial equations
Quadratic functions and equations (graphing parabolas, solving by factoring, completing the square, quadratic formula)
Introductory data analysis and statistics (measures of central tendency, spread, data representation)
Exponents and radicals

Learning Outcomes:

Achieve a comprehensive and deep understanding of all Algebra I concepts
Develop a strong foundation for advanced mathematics courses like Geometry and Algebra II
Gain proficiency in algebraic problem-solving, reasoning, and critical thinking
Build confidence in tackling complex mathematical challenges

Prerequisites:

Strong pre-algebra skills or completion of a pre-algebra course.

Assessment:

Regular problem sets, quizzes, and a comprehensive final exam.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Accelerated Algebra II Grades 9-12

Prof. Vinay Kodipelly

$299

Building upon Algebra I, this rigorous course delves into more complex algebraic functions, including advanced quadratics, polynomials, exponential and logarithmic functions, and an introduction to trigonometry. Students will develop sophisticated problem-solving strategies and a deeper understanding of mathematical relationships.

Key Topics:

Advanced quadratic functions, complex numbers, and the Fundamental Theorem of Algebra
Polynomial functions: graphing, roots, and theorems (Rational Root Theorem, Remainder Theorem)
Exponential and logarithmic functions: properties, equations, and applications (growth/decay)
Rational functions and their graphs (asymptotes, holes)
Sequences, series, and summation notation (arithmetic, geometric)
Introduction to trigonometry: unit circle, trigonometric functions, basic identities
Conic sections (circles, parabolas, ellipses, hyperbolas)

Learning Outcomes:

Achieve mastery of advanced Algebra II concepts and their applications
Gain thorough preparation for Pre-Calculus and Calculus courses
Develop advanced algebraic reasoning, analytical thinking, and problem-solving skills
Understand the connections between algebraic and graphical representations of functions

Prerequisites:

Completion of Algebra I or equivalent.

Assessment:

Problem sets, unit tests, and a comprehensive final examination.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Pre-Calculus Mastery Grades 9-12

Prof. Vinay Kodipelly

$299

This comprehensive course provides a deep dive into advanced functions, trigonometry, and analytic geometry, serving as a critical bridge to calculus. Students will master essential concepts and techniques required for success in AP Calculus and beyond, developing a robust mathematical toolkit.

Key Topics:

Advanced trigonometry: identities, equations, inverse trigonometric functions, laws of sines/cosines
Analytic geometry: conic sections in depth, polar coordinates, parametric equations, vectors
In-depth analysis of functions: polynomial, rational, exponential, logarithmic, and piecewise functions
Sequences, series, and probability (advanced topics)
Limits and an introduction to core calculus concepts (rates of change, area under curves)
Matrices and determinants (introduction)

Learning Outcomes:

Achieve a thorough and confident grasp of all Pre-Calculus topics
Gain excellent readiness and a strong advantage for AP Calculus AB/BC
Develop an advanced understanding of mathematical functions, their behavior, and geometric principles
Enhance analytical and problem-solving skills for complex mathematical scenarios

Prerequisites:

Completion of Algebra II or equivalent.

Assessment:

Regular homework assignments, quizzes, and a comprehensive final exam.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

AP Calculus Readiness (AB/BC) Grades 9-12

Prof. Vinay Kodipelly

$399

Designed to prepare students for the rigor of AP Calculus AB and BC, this course reinforces key pre-calculus topics and introduces fundamental calculus concepts such as limits, derivatives, and integrals. Emphasis is placed on conceptual understanding and problem-solving strategies essential for success on the AP exam.

Key Topics:

Comprehensive review of key Pre-Calculus concepts (functions, trigonometry, logarithms)
Introduction to limits and continuity: graphical, numerical, and algebraic approaches
Fundamentals of differentiation: definition of derivative, differentiation rules (power, product, quotient, chain rule), applications (rates of change, optimization)
Basic integration concepts and techniques: Riemann sums, definite/indefinite integrals, Fundamental Theorem of Calculus
Introduction to differential equations (for BC readiness)

Learning Outcomes:

Achieve a solidified Pre-Calculus knowledge base, bridging the gap to Calculus
Gain a foundational understanding of core Calculus ideas (limits, derivatives, integrals)
Develop problem-solving strategies specifically tailored for AP Calculus questions
Increase confidence and preparedness for the challenges of AP Calculus AB/BC coursework and exams

Prerequisites:

Completion of Pre-Calculus or strong Algebra II background.

Assessment:

Practice problems, AP-style multiple-choice and free-response questions, and mock exams.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

ACT Math Readiness Grades 9-12

Prof. Vinay Kodipelly

$250

This intensive bootcamp is tailored to maximize students' scores on the ACT Math section. Through a comprehensive review of all tested content areas and extensive practice with over 500 ACT-style problems, students will develop effective test-taking strategies, time management skills, and problem-solving shortcuts necessary for success.

Key Topics:

Comprehensive review of ACT math content areas: Pre-Algebra, Elementary Algebra, Intermediate Algebra, Coordinate Geometry, Plane Geometry, and Trigonometry
Effective test-taking strategies, pacing, and time management skills for the ACT format
Problem analysis, pattern recognition, and shortcut techniques to solve problems efficiently
Extensive practice with over 500 authentic ACT-style problems and full-length practice tests
Error analysis and targeted review based on individual performance

Learning Outcomes:

Achieve significant improvement in ACT math section scores
Increase speed, accuracy, and efficiency in solving a wide range of math problems
Develop enhanced test-taking confidence and strategic approaches for the ACT
Identify and address individual areas of weakness for targeted improvement

Prerequisites:

Strong Algebra I and Geometry foundation.

Assessment:

Diagnostic tests, timed practice sections, and full-length mock ACT exams.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Math in Computer Graphics & Animation Advanced/Thematic

Prof. Vinay Kodipelly

$449

Explore the fascinating intersection of mathematics and visual arts! This project-based course teaches students how fundamental mathematical concepts like coordinate geometry, matrix transformations, and trigonometry are applied to create stunning computer graphics and animations using industry-standard software like Blender. Unleash your creativity while solidifying your math skills!

Key Topics:

Coordinate geometry in 2D and 3D spaces: points, lines, planes, and transformations
Matrix transformations: understanding and applying scaling, rotation, and translation matrices
Trigonometry for motion, lighting, and camera control: angles, vectors, and curves
Basic animation principles and workflows in Blender: keyframing, rendering, and physics simulations
Introduction to shaders and rendering pipelines (conceptual)

Learning Outcomes:

Ability to apply mathematical concepts (linear algebra, trigonometry) to create computer graphics and animations
Gain practical skills in using Blender for basic 3D modeling and animation projects
Develop a deeper understanding of the mathematical foundations behind visual effects and game development
Cultivate creativity and problem-solving skills in a visual, hands-on environment

Prerequisites:

Strong Algebra II or Pre-Calculus background. No prior Blender experience required.

Tools:

Blender (free, open-source 3D creation suite)

Assessment:

Completion of weekly animation projects and a final creative animation showcase.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Intro to Data Science using R Programming (Project-Based) Advanced/Thematic

Prof. Vinay Kodipelly

$349

Embark on a hands-on journey into the exciting field of Data Science! This project-based course introduces high school students to the core concepts of data analysis, visualization, and interpretation using the versatile R programming language. Through real-world datasets and guided projects, students will develop practical skills to extract insights, tell stories with data, and build a foundational portfolio for future STEM pursuits.

Key Topics:

Introduction to Data Science workflow: data collection, cleaning, analysis, and communication
R programming for data science: data structures, control flow, and essential packages (`dplyr`, `tidyr`, `readr`)
Exploratory Data Analysis (EDA): summarizing and visualizing data to uncover patterns and anomalies
Advanced data visualization with `ggplot2`: creating complex and compelling statistical graphics
Basic statistical modeling: linear regression and correlation for understanding relationships in data
Introduction to machine learning concepts: supervised vs. unsupervised learning (conceptual overview)
Project-based learning: applying learned skills to analyze real-world datasets (e.g., public health data, sports statistics, environmental data)

Learning Outcomes:

Gain a practical understanding of fundamental data science principles and methodologies
Achieve proficiency in using R for data manipulation, analysis, and advanced visualization
Develop strong analytical and critical thinking skills through hands-on data projects
Build a foundational portfolio of data analysis projects showcasing practical skills
Prepare for further studies in data science, statistics, computer science, and related fields

Prerequisites:

Strong Algebra I skills. Basic computer literacy. No prior R or data science experience required.

Tools:

RStudio (free, open-source IDE)

Assessment:

Weekly coding assignments, data analysis mini-projects, and a final comprehensive data science project presentation.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Interactive Problem-Solving for Competition Math Advanced/Thematic

Prof. Vinay Kodipelly

$349

This advanced course is designed for highly motivated students passionate about competitive mathematics. Through interactive problem-solving sessions, students will tackle challenging, non-routine problems from various mathematical domains, honing their critical thinking, creativity, and strategic approaches for Olympiad-style contests like AMC, AIME, and USAMO.

Key Topics:

Advanced number theory: divisibility rules, modular arithmetic, congruences, Diophantine equations
Combinatorial reasoning and techniques: counting principles, permutations, combinations, generating functions, recurrence relations
Challenging geometry problems: Euclidean geometry, coordinate geometry, transformations, properties of triangles and circles
Algebraic inequalities and functional equations
Problem-solving strategies specific to math Olympiads (e.g., pigeonhole principle, invariants, extremal principle)

Learning Outcomes:

Significantly enhanced problem-solving skills for high-level math competitions
Develop a deeper understanding of advanced mathematical concepts and proof techniques
Improve logical reasoning, creative thinking, and mathematical intuition under pressure
Gain exposure to a wide range of non-routine problems and elegant solutions

Prerequisites:

Strong Algebra II and Geometry skills; prior experience with math competitions (e.g., AMC 8/10/12) is recommended but not required.

Assessment:

Participation in problem-solving sessions, submission of challenging problem solutions, and mock competition tests.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Financial Math and Management Advanced/Thematic

Prof. Vinay Kodipelly

$349

Gain practical, real-world financial literacy through the lens of mathematics. This course introduces students to the mathematical models and principles underlying personal finance, investments, loans, and budgeting. Students will develop essential skills for managing money effectively and making informed financial decisions that impact their future.

Key Topics:

Simple and compound interest calculations: understanding growth and decay of money
Annuities, perpetuities, and their applications in savings and retirement planning
Loan amortization schedules and mortgage calculations: understanding debt and repayment
Investment analysis: basics of stocks, bonds, mutual funds, and risk assessment
Mathematical models for budgeting, financial planning, and net worth calculation
Introduction to basic economic principles and financial markets

Learning Outcomes:

Develop a strong understanding of core mathematical principles in personal finance
Gain the ability to make informed financial decisions and analyze various financial instruments
Acquire practical skills in budgeting, loan management, and investment evaluation
Build a foundation for future studies in economics, finance, or business

Prerequisites:

Strong Algebra I skills. Basic understanding of percentages and decimals.

Assessment:

Problem sets, case study analyses, and a personal financial planning project.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

Math for Machine Learning (Project-Based) Advanced/Thematic

Prof. Vinay Kodipelly

$549

Dive into the mathematical bedrock of Machine Learning! This project-based course provides a rigorous yet accessible introduction to the linear algebra and statistical concepts essential for understanding and building ML models. Through hands-on mini-projects, students will apply theoretical knowledge to practical problems, gaining insights into how AI works and preparing for advanced studies in the field.

Key Topics:

Essential linear algebra: vectors, matrices, matrix operations, dot products, eigenvalues, eigenvectors, Singular Value Decomposition (SVD)
Core statistical concepts for ML: probability, random variables, common distributions (Gaussian, Bernoulli), Bayes' theorem
Introduction to optimization: convex functions, gradient descent, and its variants
Mathematical underpinnings of common ML algorithms: linear regression, logistic regression, principal component analysis (PCA), k-Nearest Neighbors (k-NN)
Data preprocessing and feature engineering (mathematical aspects)

Learning Outcomes:

Gain a solid grasp of fundamental mathematical concepts that underpin Machine Learning algorithms
Acquire practical experience in implementing and understanding basic ML models from a mathematical perspective
Develop problem-solving skills applicable to real-world data science challenges
Build a strong foundation for further study and application in AI, Machine Learning, and Data Science fields

Prerequisites:

Strong Pre-Calculus or Calculus I knowledge. Basic Python programming experience is highly recommended.

Tools:

Python with essential libraries: NumPy, Pandas, Scikit-learn (all free and open-source).

Assessment:

Weekly coding assignments, mathematical problem sets, and a final project involving building and explaining a simple ML model.

Certification:

A certification of completion will be provided once a student completes all assignments within the program timeline or demonstrates mastery of the concepts, at the instructor's discretion.

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Our Programs & Courses

Elementary (K-5)

Middle School (Grades 6-8)

High School (Grades 9-12)

Advanced or Thematic Programs

Unlocking the Potential of ABACUS and Mental Math K-5

Key Skills:

Learning Outcomes:

Assessment:

Certification:

Vedic Mathematics (Basic Level) K-5

Key Topics:

Learning Outcomes:

Assessment:

Certification:

Foundations of Algebra Grades 4-6

Key Concepts to be Discussed:

Algebra I Readiness (Bridge Program & MAP Prep) Grades 6-8

Key Topics:

Learning Outcomes:

Assessment:

Certification:

Intro to Coding for Middle School (Python-based) Grades 6-8

Key Topics:

Learning Outcomes:

Prerequisites:

Tools:

Assessment:

Certification:

Algebra the Eastern Way: High-Speed Problem Solving & Patterns Grades 7-9

Key Topics:

Learning Outcomes:

Best suited for:

Assessment:

Certification:

AP Statistics Prep & R Programming Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Tools:

Assessment:

Certification:

Accelerated Algebra I Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Assessment:

Certification:

Accelerated Algebra II Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Assessment:

Certification:

Pre-Calculus Mastery Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Assessment:

Certification:

AP Calculus Readiness (AB/BC) Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Assessment:

Certification:

ACT Math Readiness Grades 9-12

Key Topics:

Learning Outcomes:

Prerequisites:

Assessment:

Certification:

Math in Computer Graphics & Animation Advanced/Thematic

Key Topics:

Learning Outcomes:

Engage. Discover
Excel.