IB Mathematics AI

Learn About The Subject

IB Mathematics: Applications and Interpretation (Math AI) helps students understand and apply mathematical concepts to solve real-world problems, especially in the context of technology and data analysis. The subject emphasizes the development of application skills rather than pure theory, serving as a crucial foundation for fields such as Social Sciences, Statistics, Economics, Business Administration, Design, Health Sciences, and related areas.

Common Challenges When LearningIB Mathematics AI

Course Content

1.1: Rounding & Significant Figures
1.2: Scientific Notation
1.3: Percentage Error
1.4: Arithmetic Sequences & Series
1.5: Geometric Sequences & Series
1.6: Sigma Notation
1.7: Compound Interest & Depreciation
1.8: Loans & Amortization
1.9: Annuities
1.10: GDC Tips: Finance Solver (TVM Solver)
1.11: Introduction to Complex Numbers
1.12: Forms of Complex Numbers (Rectangular, Polar, Euler)
1.13: Operations of Complex Numbers
1.14: GDC Tips: Complex Numbers
1.15. Introduction to Matrices
1.16. Solving Simultaneous Equations using Matrices
1.17. Eigenvalues, Eigenvectors & Matrix Powers
1.18. GDC Tips: Matrices
2.1: Forms of Linear Lines
2.2: Gradients & Intercepts of Linear Lines
2.3: Parallel & Perpendicular Gradients
2.4: Perpendicular Bisectors
2.5: GDC Tips: Intersection of Two Lines
2.6: Functions: Overview & Types
2.7: GDC Tips: Plotting Functions & Analysis Tools
2.8: GDC Tips: Using Solve to Solve Equations
2.9: Domain & Range, Composite, Inverse
2.10: Transformations of Functions
3.1: Geometry of 3D Shapes
3.2: Pythagoras Theorem
3.3: Right Angled Trig (Sin/Cos/Tan)
3.4: Sine & Cosine Rule, Area of a Triangle
3.5: Length of Arc, Area of Sector (Circles)
3.6: Degrees V Radians
3.7: Voronoi Diagrams
3.8: Unit Circle & Trig Ratios
3.9: Graphs of Trig Functions
3.10: Graph Theory
3.11: Vectors Basics
3.12: Vector Equation of a Line
3.13: Scalar Product & Angle Between Two Vectors
3.14: Vector Product
3.15. Geometric Transformations
4.1: Mean, Median, Mode
4.2: Quartiles, Interquartile Range, Box & Whisker
4.3: Outliers
4.4: Data Sampling Methods
4.5: Independent & Dependent Variables, Scatter Plots
4.6: Correlation: Pearson's & Spearman's
4.7: Line of Regression Equation (& Reliability)
4.8: Coefficient of Determination
4.9: Non-Linear Regression
4.10: Tree Diagrams (Probability)
4.11: Venn Diagrams (Probability)
4.12: Transition Matrices & Markov Chains
4.13: Probability Distribution
4.14. Binomial Distribution
4.15: Normal Distribution
4.16: Hypothesis Testing
4.17: Poison Distribution
4.18: Estimation & Confidence Intervals
4.19: Combination of Random Variables
5.1: Overview of Differential Calculus
5.2: Basics of Differentiation
5.3: Gradients of Tangents & Normals
5.4: Turning Points (Max/Min, Optimization)
5.5: Further Differentiation Rules
5.6: Related Rates
5.7: The Second Derivative
5.8: Overview of Integral Calculus
5.9: Basics of Anti-Differentiation
5.10: Finding Areas Under Curves
5.11: Trapezoidal Rule
5.12: Further Integration Rules
5.13: Integration by Substitution
5.14: Area Enclosed by a Curve and the x or y-axis
5.15: Volumes of Revolution about the x or y-axis
5.16: Kinematics
5.17: Introduction to Differential Equations
5.18: Separable Differential Equations
5.19: Slope Fields
5.20: Euler's Method"
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Set academic goals with a clear learning roadmap.

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Create A Learning Path

Develop a detailed and structured study plan.

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Implement And Optimize

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IB Mathematics AI
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Frequently Asked Questions

Frequently Asked Questions About

IB Mathematics AI

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Math AI focuses on applying mathematics to model and solve real-world problems, with a particular emphasis on statistics, probability, and the use of technology (GDC). Math AA delves deeper into abstract mathematical concepts, algebra, calculus, and proof, forming a foundation for natural sciences and engineering fields that require advanced mathematics.
Both levels cover 5 core topics. However, HL explores these topics at a greater depth and complexity, especially in the areas of Statistics & Probability and Calculus. HL also requires a higher level of GDC application and the ability to solve more complex problems.
The GDC is an indispensable tool in IB Math AI. Students are required to be proficient in using the GDC to perform complex calculations, graph functions, analyze statistical data, model, and solve various types of problems throughout the learning process and in Paper 2 and Paper 3 (HL) exams.
The Math AI IA is a "Mathematical Exploration." Students need to choose a real-world topic or problem they are interested in, then use the mathematical knowledge and skills learned (especially mathematical modeling, statistics, probability) to explore, analyze, and present their findings clearly and coherently.
Math AI provides excellent preparation for university programs and careers in fields such as Social Sciences, Business, Economics, Finance, Statistics, Health Sciences, Psychology, Design, Environmental Science, and some IT or data science fields that require strong mathematical application skills.
Yes. Intertu Education offers trial classes for IB Mathematics AI. This is a wonderful opportunity for you and your parents to directly experience our teaching methodology, get acquainted with our teachers, and assess suitability before deciding to enroll in the official course. Please contact our counseling department to learn more.
The tuition fee for IB Mathematics AI at Intertu Education depends on the chosen study hour package and the level of support service (Standard, Premium, Platinum) that parents select, aiming to best meet specific learning needs and goals. To receive a detailed fee quotation and receive advice on the most suitable study package, please contact Intertu's consulting team directly.