• A Dimensionality Reducing Extension of Bayesian Relevance Learning 

  Heimsæter, Sandra Vervik (Master thesis, 2021-02-11)

  When modeling with big data and high dimensional data, the ability to extract the most important information from the data set and avoid overfitting is crucial. However, by using well developed sparse methods, we can ...

• A Statistical Study on the Non-linear Properties of Shoaling Ocean Waves 

  Cervantes, Stevie Louise (Master thesis, 2021-03-01)

• Programmering og algoritmisk tenkning i matematikkundervisning på videregående skole 

  Dahle, Egil Johnsen (Master thesis, 2021-02-08)

  Etter at den nye læreplanen "Fagfornyelsen" har blitt iverksatt, skal algoritmisk tenkning og programmering bli en integrert del av skolehverdagen til elever og lærere i den norske skole. Dette innebærer at elever skal ...

• Discrete hidden Markov modelswith application to stock tradingalgorithms 

  Hansen, Andreas (Master thesis, 2021-01-31)

• Programmering som inngangsport til algoritmisk tenking - Ein mixed methods studie av 1P-elevars erfaringar, forståing og syn knytt til programmering i matematikkundervisninga 

  Hirth, Stian (Master thesis, 2020-12-20)

  Målet med denne studien var å kartlegge tre aspekt knytt til 1P-elevar sitt fyrste møte med bruk av programmering i matematikkundervisninga; deira erfaringar med programmering før undervisninga tek til, og deira forståing ...

• Simulering av grunne geotermiske systemer med naturlig konveksjon i borehull 

  Dyrhovden, Joel (Master thesis, 2020-12-19)

  Introduksjon: Grunne geotermiske systemer benyttes til oppvarming og kjøling av husholdninger og større bygg. I etableringsfasen av slike systemer anvendes det modelleringsverktøy for ̊a beregne optimal dimensjonering av ...

• Commutability of Control Materials - Statistical Methods of Evaluation. 

  Fauskanger, Pernille Kjeilen (Master thesis, 2020-12-15)

• Differentiability of Products of Formal Power Series 

  Palmstrøm, Mathias Sperre (Master thesis, 2020-12-10)

• Simulation of injection-induced deformation for a stimulation experiment at the Grimsel underground laboratory 

  Ervik, Haakon Ludvig Langeland (Master thesis, 2020-11-06)

  Numerical models have increasingly become important tools to complement planning, testing, and implementation of technologies and strategies for geothermal reservoir projects in basement and crystalline igneous rock. Access ...

• Dynamical modeling of pathogenic bacteria in surface drinking water 

  Omar, Farhan Ahmad (Master thesis, 2020-10-08)

  Dynamisk modellering av økologiske systemer har vært et interessant verktøy for å forstå samspillet mellom arter i naturen. I denne oppgaven konstruerer vi et dynamisk system for interaksjon mellom patogene bakterier og ...

• Markov-switching GARCH models with application to insurance claims 

  Bjørnøy, Eivind (Master thesis, 2020-09-11)

• Hidden Markov and Hidden Semi-Markov models on Financial Timeseries 

  Eilertsen, Emil Lund (Master thesis, 2020-09-11)

• Mathematical and numerical methods for physical regulations of medical images 

  Nymo, Victoria (Master thesis, 2020-08-25)

• Gradient Methods for Source Identification Problems 

  Banshoya, Shin Irgens (Master thesis, 2020-08-19)

  In this thesis we are interested in the problem of identifying point sources in an advection-diffusion model, given some measurements. By writing the problem as a minimization problem, we use a non-linear conjugate gradient ...

• Kombinatoriske Hopf-algebraer og Loday-Ronco Hopf-algebraen av plane binære trær 

  Østhus, Andreas (Master thesis, 2020-07-07)

• Geometry of embedded CR manifolds 

  Holmen, Daniel Førland (Master thesis, 2020-07-03)

  The reader is introduced to the geometry of CR manifolds, which are real submanifolds of complex space with a complex structure on a subbundle of its tangent bundle. Explicit formulas for the geometrical aspects of CR(1,1) ...

• Solving Maxwell's Equations by a Discontinuous Galerkin Method 

  Olsen, Morten Reinskau (Master thesis, 2020-07-01)

• Geometric reconstruction and persistence methods 

  Garcia Pascual, Belen (Master thesis, 2020-07-01)

  In the present work we reconstruct the homotopy type of an unknown Euclidean subspace from a known sample of data. We carry out such reconstruction through generalized Čech complexes, by choosing radii which are less or ...

• Model selection in time series by Deep Learning 

  Evensen, Benedikte (Master thesis, 2020-06-30)

  In this thesis, we will explore the use of deep learning techniques for model selection in time series. We compare the results from this with more traditional approaches for model selection, namely the Akaike and Bayesian ...

• The Shock Structure Problem and Svärd's New Eulerian Model 

  Flatlandsmo, Josef (Master thesis, 2020-07-01)

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