Focus the object
Define the object, dataset, time period, variable or mathematical structure as precisely as possible.
Topics 376 to 400 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 |
|---|---|---|---|---|---|---|
| 376 | Time series & forecastingComparing random-walk and mean-reversion models for exchange rates Turn “Comparing random-walk and mean-reversion models for exchange rates” 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. |
2 | 8 | 91012 | 13 | 0 |
| 377 | Geospatial & cartographic mathematicsApproximating watersheds from a digital elevation model Turn “Approximating watersheds from a digital elevation 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 | 7911 | 13 | 0 |
| 378 | Engineering design & optimisationComparing catenary, parabolic and circular-arc bridge models Turn “Comparing catenary, parabolic and circular-arc bridge 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. |
2 | 2 | 261012 | 1713 | 0 |
| 379 | ThermodynamicsThermal conductivity of metal rods measured by the time taken for wax to melt Turn “Thermal conductivity of metal rods measured by the time taken for wax to melt” 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 | 3613 | 1 |
| 380 | Epidemiology & public healthHerd immunity under heterogeneous contact rates Turn “Herd immunity under heterogeneous contact rates” 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 | 7101112 | 13 | 0 |
| 381 | Material propertiesSublimation of dry ice: mass loss over time at constant conditions Turn “Sublimation of dry ice: mass loss over time at constant conditions” 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 | 23621 | 2 |
| 382 | Sports analytics & tacticsAnalysing volleyball rotations as Markov transitions Turn “Analysing volleyball rotations as Markov transitions” 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 | 9 | 13711 | 713 | 0 |
| 383 | ElectricityThermoelectric voltage as a function of temperature difference using a Peltier element Turn “Thermoelectric voltage as a function of temperature difference using a Peltier element” 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 | 3513 | 1 |
| 384 | Recreational games & mathematicsDesigning escape-room routes as a directed graph Turn “Designing escape-room routes as a directed graph” 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 | 27811 | 1320 | 0 |
| 385 | Combined experimentsThermocouple voltage as a function of hot-to-cold water-bath temperature difference Turn “Thermocouple voltage as a function of hot-to-cold water-bath temperature difference” 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 | 351316 | 1 |
| 386 | Combinatorics & discrete probabilityTesting the Poisson approximation for rare events Develop “Testing the Poisson approximation for rare events” through original examples, derivations, or a small computational exploration. State a precise conjecture, test it systematically, and compare alternative proof or modelling approaches. |
3 | 9 | 791012 | 13 | 0 |
| 387 | Kitchen & everyday lifeHand surface-temperature recovery after a safe cold-water exposure Turn “Hand surface-temperature recovery after a safe cold-water exposure” 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 | 4136 | 3 |
| 388 | EnvironmentWater mass loss from plastic and glass containers over time Turn “Water mass loss from plastic and glass containers over time” 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 | 216 | 0 |
| 389 | Algebra & number theoryPerfect numbers and their rarity Develop “Perfect numbers and their rarity” through original examples, derivations, or a small computational exploration. State a precise conjecture, test it systematically, and compare alternative proof or modelling approaches. |
3 | 3 | 10 | 13 | 0 |
| 390 | Analysis & calculusOptimising the flight path of a paper aeroplane Turn “Optimising the flight path of a paper aeroplane” 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 | 1311 | 17 | 0 |
| 391 | Statistics & probabilityGrade distributions across different school subjects Turn “Grade distributions across different school subjects” 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 | 1 | 0 | 0 |
| 392 | Mathematical modellingOptimising seating arrangements in a classroom Turn “Optimising seating arrangements in a classroom” 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 | 1411 | 14 | 3 |
| 393 | Geometry & topologySymmetry in Islamic art Turn “Symmetry in Islamic art” 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 | 128 | 7 | 0 |
| 394 | Financial mathematicsInsurance models and premium calculations Turn “Insurance models and premium calculations” 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 | 5 | 13 | 0 |
| 395 | Logic, set theory & proofAn introduction to Gödel's incompleteness theorems Turn “An introduction to Gödel's incompleteness theorems” 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 | 1 | 0 | 0 |
| 396 | Discrete mathematics & computer scienceError-detecting codes and Hamming distance Turn “Error-detecting codes and Hamming distance” 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 | 138 | 0 | 0 |
| 397 | Applied & interdisciplinary mathematicsAnalysing the stability of towers built from blocks Turn “Analysing the stability of towers built from blocks” 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 | 1211 | 1520 | 0 |
| 398 | Transport & mobility mathematicsAn accessibility index for public-transport stops using weighted distances Turn “An accessibility index for public-transport stops using weighted distances” 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 | 6911 | 813 | 0 |
| 399 | Biomathematics & medicineMathematical modelling of visual acuity and corrective-lens power Turn “Mathematical modelling of visual acuity and corrective-lens power” 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 | 111 | 1319 | 3 |
| 400 | Operations research & logisticsConflict-minimising exam timetabling with graph colouring Turn “Conflict-minimising exam timetabling with graph colouring” 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 | 4711 | 13 | 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.