Sökning: "mathematical challenge"
Visar resultat 1 - 5 av 68 avhandlingar innehållade orden mathematical challenge.
1. Med uppgift att lära : om matematikuppgifter som en resurs för lärande
Sammanfattning : Elevers möjligheter att utveckla sin kunskap i matematik påverkas av de uppgifter de arbetar med. Det är möjligt att göra en distinktion mellan rutinuppgifter och matematiska problem. En rutinuppgift är en uppgift som en elev kan lösa genom att använda en välbekant metod, eller genom att imitera en förlaga. LÄS MER
2. Objects and objectivity : Alternatives to mathematical realism
Sammanfattning : This dissertation is centered around a set of apparently conflicting intuitions that we may have about mathematics. On the one hand, we are inclined to believe that the theorems of mathematics are true. LÄS MER
3. Numerical methods for wave propagation in solids containing faults and fluid-filled fractures
Sammanfattning : This thesis develops numerical methods for the simulation of wave propagation in solids containing faults and fluid-filled fractures. These techniques have applications in earthquake hazard analysis, seismic imaging of reservoirs, and volcano seismology. A central component of this work is the coupling of mechanical systems. LÄS MER
4. Orchestrating mathematical whole-class discussions in the problem-solving classroom : Theorizing challenges and support for teachers
Sammanfattning : Promising teaching approaches for developing students’ mathematical competencies include the approach of teaching mathematics through problem solving. Orchestrating a whole-class discussion of students’ ideas is an important aspect of teaching through problem solving. LÄS MER
5. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools
Sammanfattning : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. LÄS MER