Mathematics Applications & Interpretation (Math AI) IA Guide
Understanding What Makes a Great IA Topic
Key Elements of a Strong IA Topic
Personal Interest
Choose something you're genuinely curious about
Select a topic that motivates you to explore deeper
Consider your hobbies, passions, or career aspirations
Mathematical Relevance
Must connect to Math AI syllabus content
Should demonstrate understanding of key concepts
Can extend slightly beyond syllabus, but stay within reach
Callout
Topic Categories and Examples
1. Statistical Analysis and Real-World Data
Analyzing sports performance statistics
Investigating climate change patterns
Studying economic trends
Callout
Shot accuracy vs. distance from basket
Player performance correlation with rest days
Team winning percentages based on various factors
2. Mathematical Modeling
Population growth models
Disease spread predictions
Financial market behavior
3. Optimization Problems
Business efficiency studies
Environmental impact minimization
Resource allocation challenges
Callout
Developing Your IA Idea
Initial Research Phase
Brainstorming
List potential topics of interest
Research available data sources
Consider feasibility of mathematical analysis
Scope Definition
Narrow down your focus
Ensure manageable complexity
Define clear objectives
Callout
Evaluation Checklist
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What is a key element of a strong IA topic?
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Note
Introduction to IA
The Internal Assessment (IA) is a significant part of the Math AI course, allowing students to explore a mathematical topic of their choice.
It accounts for 20% of the final grade, emphasizing personal engagement and independent research.
The IA is an opportunity to apply mathematical concepts to real-world situations or areas of personal interest.
AnalogyThink of the IA as a mini-research project where you are the scientist exploring a question that fascinates you.
ExampleA student interested in music might explore the mathematical patterns in different genres.