Focus the object
Define the object, dataset, time period, variable or mathematical structure as precisely as possible.
Topics 201 to 225 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 |
|---|---|---|---|---|---|---|
| 201 | Astronomy & spaceflightModelling a rocket trajectory with air resistance Turn “Modelling a rocket trajectory with air resistance” 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. |
2 | 2 | 1711 | 13 | 1 |
| 202 | Economic models & marketsHow basket weights affect a consumer price index Turn “How basket weights affect a consumer price index” 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 | 6 | 5912 | 13 | 0 |
| 203 | Psychology & cognitionThe Stroop effect analysed with statistical hypothesis tests Turn “The Stroop effect analysed with statistical hypothesis tests” 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 | 14 | 0 | 3 |
| 204 | Time series & forecastingCross-correlation between search trends and sales Turn “Cross-correlation between search trends and sales” 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. |
3 | 6 | 91112 | 13 | 0 |
| 205 | Probability & riskPerceived risk versus measured risk: air travel and driving Turn “Perceived risk versus measured risk: air travel and driving” 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. |
3 | 6 | 1412 | 14 | 3 |
| 206 | Geospatial & cartographic mathematicsInterpolating local temperatures with inverse-distance weighting Turn “Interpolating local temperatures with inverse-distance weighting” 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 | 16711 | 381213 | 0 |
| 207 | Culinary mathematicsAnalysing bubble distributions in bread and sparkling drinks with a Poisson model Turn “Analysing bubble distributions in bread and sparkling drinks with a Poisson model” 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. |
3 | 6 | 125 | 7 | 0 |
| 208 | Engineering design & optimisationOptimising bottle shape for material use and stability Turn “Optimising bottle shape for material use and stability” 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 | 251112 | 11320 | 0 |
| 209 | ThermodynamicsTemperature gradients in a classroom from floor to desk height and ceiling over a day Turn “Temperature gradients in a classroom from floor to desk height and ceiling over a day” 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 | 14 | 3416 | 0 |
| 210 | Epidemiology & public healthCovering a contact-tracing network with a minimum number of tests Turn “Covering a contact-tracing network with a minimum number of tests” 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. |
2 | 8 | 7911 | 13 | 0 |
| 211 | Material propertiesAbsorption rates of toilet paper, kitchen roll and newspaper Turn “Absorption rates of toilet paper, kitchen roll and newspaper” 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 | 15 | 26 | 0 |
| 212 | Sports analytics & tacticsOptimal substitution timing using a hazard model Turn “Optimal substitution timing using a hazard 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. |
2 | 8 | 791112 | 13 | 0 |
| 213 | ElectricityCharging and discharging capacitors of different capacitances Turn “Charging and discharging capacitors of different capacitances” 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 | 2 | 1 | 5 | 0 |
| 214 | Recreational games & mathematicsWordle strategies using entropy and information gain Turn “Wordle strategies using entropy and information gain” 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 | 781011 | 13 | 0 |
| 215 | Combined experimentsEvaporation: mass loss versus surface temperature in wind, sun and shade Turn “Evaporation: mass loss versus surface temperature in wind, sun and shade” 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 | 1 | 2413 | 0 |
| 216 | Combinatorics & discrete probabilityCatalan numbers in parenthesisations and lattice paths Develop “Catalan numbers in parenthesisations and lattice paths” 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 | 710 | 13 | 0 |
| 217 | Kitchen & everyday lifeYoghurt fermentation: temperature profile and mass change Turn “Yoghurt fermentation: temperature profile and mass change” 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 | 15 | 2316 | 1 |
| 218 | Climate, Earth & ocean mathematicsRiver rating curves from water level and discharge Turn “River rating curves from water level and discharge” 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 | 161112 | 1681213 | 1 |
| 219 | EnvironmentHeat loss from buildings using facade surface-temperature measurements Turn “Heat loss from buildings using facade surface-temperature measurements” 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 | 26 | 413 | 0 |
| 220 | PhysiologyReaction time and naturally observed body-temperature variation Turn “Reaction time and naturally observed body-temperature variation” 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 | 110 | 31319 | 3 |
| 221 | MaterialsElectrical conductivity of pencil lines with grades from 2H to 6B Turn “Electrical conductivity of pencil lines with grades from 2H to 6B” 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 | 12 | 513 | 1 |
| 222 | Algebra & number theoryFibonacci numbers and the limiting ratio of consecutive terms Turn “Fibonacci numbers and the limiting ratio of consecutive terms” 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 | 16 | 13 | 0 |
| 223 | Analysis & calculusThe mathematics of rainbow formation: Snell's law, refraction and optimisation Turn “The mathematics of rainbow formation: Snell's law, refraction and optimisation” 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 | 611 | 0 | 0 |
| 224 | Statistics & probabilityStatistical bias in media reporting Turn “Statistical bias in media reporting” 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 | 912 | 0 | 0 |
| 225 | Mathematical modellingTraffic flow at roundabouts or traffic lights Turn “Traffic flow at roundabouts or traffic lights” 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 | 2 | 16 | 0 | 1 |
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.