Focus the object
Define the object, dataset, time period, variable or mathematical structure as precisely as possible.
Topics 476 to 500 with explanations, methods, course and equipment guidance.
The list mixes calculus, statistics, modelling, geometry, number theory, computer science, sport, environmental topics and other areas. Each entry includes a short explanation and visible methods such as differential calculus, integral calculus, statistics or regression.
Select an idea. Titles and areas are starting points, not finished research questions.
Check A and C. These codes give an initial indication of assessment type, course and level.
Read P, M and S. They show possible independent direction, tools, and safety or data-protection needs.
| No. | Topic idea | A | C | P | M | S |
|---|---|---|---|---|---|---|
| 476 | Financial mathematicsModelling exchange-rate fluctuations Turn “Modelling exchange-rate fluctuations” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 6 | 11 | 13 | 0 |
| 477 | Logic, set theory & proofProperties of relations: reflexivity, symmetry and transitivity Turn “Properties of relations: reflexivity, symmetry and transitivity” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 110 | 0 | 0 |
| 478 | Applied & interdisciplinary mathematicsModelling the amount of coffee needed to maximise caffeine extraction Turn “Modelling the amount of coffee needed to maximise caffeine extraction” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 9 | 1511 | 13 | 0 |
| 479 | ThermodynamicsTemperature changes in chemical hot and cold packs Turn “Temperature changes in chemical hot and cold packs” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 111 | 34113 | 2 |
| 480 | Material propertiesFiltration efficiency measured by suspended-solid mass in different water samples Turn “Filtration efficiency measured by suspended-solid mass in different water samples” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 6 | 1611 | 2 | 0 |
| 481 | ElectricityVoltage distribution in series and parallel circuits with identical lamps Turn “Voltage distribution in series and parallel circuits with identical lamps” into a focused research question and select a transparent dataset or your own measurements. Compare suitable models, examine residuals, and evaluate uncertainty, outliers, and limitations. |
1 | 3 | 11012 | 5 | 1 |
| 482 | Combined experimentsBattery discharge across different temperatures using safe manufacturer-approved conditions Turn “Battery discharge across different temperatures using safe manufacturer-approved conditions” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 112 | 235 | 2 |
| 483 | Algebra & number theoryThe mathematics of ISBN and IBAN check digits Turn “The mathematics of ISBN and IBAN check digits” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 7 | 1 | 13 | 0 |
| 484 | Analysis & calculusAreas between curves and their meaning in economics Turn “Areas between curves and their meaning in economics” into a focused research question and select a transparent dataset or your own measurements. Compare suitable models, examine residuals, and evaluate uncertainty, outliers, and limitations. |
1 | 3 | 1 | 1 | 0 |
| 485 | Statistics & probabilityComparing probabilities in different games of chance Turn “Comparing probabilities in different games of chance” into a focused research question and select a transparent dataset or your own measurements. Compare suitable models, examine residuals, and evaluate uncertainty, outliers, and limitations. |
1 | 9 | 112 | 13 | 0 |
| 486 | Mathematical modellingModelling climate change with simple climate models Turn “Modelling climate change with simple climate models” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 5 | 6911 | 13 | 0 |
| 487 | Geometry & topologyCalculating areas with Pick's theorem Turn “Calculating areas with Pick's theorem” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 3 | 1210 | 11320 | 0 |
| 488 | Financial mathematicsCalculating economic order quantity with the EOQ model Turn “Calculating economic order quantity with the EOQ model” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 6 | 111 | 13 | 0 |
| 489 | Logic, set theory & proofA proof of the fundamental theorem of arithmetic Develop “A proof of the fundamental theorem of arithmetic” through original examples, derivations, or a small computational exploration. State a precise conjecture, test it systematically, and compare alternative proof or modelling approaches. |
2 | 2 | 10 | 13 | 0 |
| 490 | Applied & interdisciplinary mathematicsThe mathematics of soap bubbles and minimal surfaces Turn “The mathematics of soap bubbles and minimal surfaces” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 3 | 1 | 1 | 0 |
| 491 | ThermodynamicsThermal radiation from matte black and shiny metal surfaces at the same temperature Turn “Thermal radiation from matte black and shiny metal surfaces at the same temperature” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 1 | 413 | 0 |
| 492 | Material propertiesComparing fat content in crisps by supervised solvent extraction Turn “Comparing fat content in crisps by supervised solvent extraction” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 112 | 21621 | 2 |
| 493 | ElectricitySurface resistance of wood, metal, plastic and water Turn “Surface resistance of wood, metal, plastic and water” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 1 | 51 | 1 |
| 494 | Combined experimentsDrying curves of wet clay or paper: mass loss and surface temperature Turn “Drying curves of wet clay or paper: mass loss and surface temperature” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 6 | 112 | 2413 | 0 |
| 495 | Algebra & number theoryNumber sequences and their explicit formulae Turn “Number sequences and their explicit formulae” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 3 | 110 | 0 | 0 |
| 496 | Analysis & calculusModelling oscillations with damped harmonic oscillators Turn “Modelling oscillations with damped harmonic oscillators” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 2 | 111 | 13 | 0 |
| 497 | Statistics & probabilityCorrelation between weather and mood Turn “Correlation between weather and mood” into a focused research question and select a transparent dataset or your own measurements. Compare suitable models, examine residuals, and evaluate uncertainty, outliers, and limitations. |
1 | 6 | 1610 | 1214 | 3 |
| 498 | Mathematical modellingThe propagation of light through different media Turn “The propagation of light through different media” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 3 | 1 | 10 | 0 |
| 499 | Geometry & topologyVoronoi diagrams in natural structures Turn “Voronoi diagrams in natural structures” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
3 | 9 | 16 | 0 | 0 |
| 500 | Financial mathematicsDepreciation methods in accounting Turn “Depreciation methods in accounting” into a measurable or mathematically precise research question. Develop an appropriate model, test it with your own data, constructions, or examples, and evaluate assumptions, errors, and possible improvements. |
1 | 6 | 1 | 0 | 0 |
No topic ideas match this combination.
The table stays narrow on a phone by replacing long descriptions with numeric codes. Entries may contain several P and M codes.
The table is designed to speed up the first step. The actual research question emerges through focus, mathematical choice and critical checking.
Define the object, dataset, time period, variable or mathematical structure as precisely as possible.
Decide which models, proofs, statistical procedures or optimisation steps can genuinely answer the question.
Use your own data, comparisons, modelling choices, extensions or proof ideas rather than reproducing a standard procedure.
Examine assumptions, sources of error, data quality, model limitations, safety and possible improvements.
The P codes indicate possible ways to shape an investigation independently. Independent thinking becomes visible through justified decisions, appropriate data selection, personal model variants, meaningful comparisons and critical reflection. A code does not guarantee a particular mark.
Review the IA requirementsNo. They name a possible direction. A question for assessed work must be focused more narrowly, matched to the course and level, and connected to a clear mathematical method.
The broad direction could be developed as an IA or Mathematics EE, depending on focus and depth. An EE will normally require a substantially deeper mathematical argument and an appropriate research scope.
No. C is editorial guidance for Mathematics AA or Math AI and SL or HL. Final suitability depends on the specific research question and the current requirements.
No. M indicates typical or possible tools. Many topics can use open data, a spreadsheet, CAS, GeoGebra, Desmos or Python. Adapt the topic to resources that are genuinely available.
Prefer anonymised or publicly available secondary data. Original data collection needs consent, data protection, school approval and a low-risk method. Diagnosis, medication changes and invasive self-experimentation do not belong in a Mathematics project.
The same 900 entries are available as plain text and bilingual JSON for search, accessibility and AI systems.
The catalogue complements the PreLearning explanations. Current official IB documents and the school's instructions remain authoritative.