Microsoft Word - NAMAT-NA-Courses-Eng.docx Appendix to Programme Syllabus established by the Board of the Faculty of Science on 2007-02-07. The Course requirements have been approved by the Study Programmes Board on 2012-03-29, with latest update on 2016-12-08. COURSE REQUIREMENTS FOR A GENERAL QUALIFICATION Degree of Master of Science 120 credits Major: Mathematics With specialization in Numerica

https://www.maths.lu.se/fileadmin/maths/Matematik_NF/Masterprogram/NAMAT-NA-Courses-Eng.pdf - 2025-07-31

CLOSING THE GAP BETWEEN SCHOLARSHIP AND PRACTICE TRACY S. CRAIG A great deal of research has been carried out on the teaching and learning of subspaces, linear independence, basis, span – concepts students struggle to understand. No clear route for that research to influence classroom practice. 05/11/22Øresundsdagen 3 - Lund, Sweden 2 November 2022 2 THE EXISTENCE OF A GAP LINEAR ALGEBRA AS AN EXA

https://www.maths.lu.se/fileadmin/maths/Oresundsdagen_3/craig.pdf - 2025-07-31

Group assignments in an online mathematics course Laura Fainsilber, Linnea Hietala Chalmers, Göteborgs universitet Group assignments in an online course for the Foundation Year (Tekniskt Basår) Goals: • social contact • bridging the gap between secondary school and university math • developing forms for group work • mathematical communication • learning to handle open-ended questions • using GeoGe

https://www.maths.lu.se/fileadmin/maths/Oresundsdagen_3/fainsilber_etal.pdf - 2025-07-31

Emne: An overview of the paper The challenges of basing a full mathematics course entirely on realistic examples about a two-year struggle with the development of a first-term course containing several new (or at least: rare) pedagogical elements. Focus will be on the use made of results obtained in pedagogical research carried out prior to, as well as along with, the writing process and the actua

https://www.maths.lu.se/fileadmin/maths/Oresundsdagen_3/ottosen.pdf - 2025-07-31

Syllabus Mathematics Page 1 of 12 International Office, LTH Reg. No. U 2020/679 Date 2020-09-08 General syllabus for third-cycle studies in Mathematics TEFMAF00 The syllabus was approved by the Board of the Faculty of Engineering/LTH 21 May 2008 and most recently amended 8 September 2020 (reg. no U 2020/679). 1. Subject description Mathematics is a science that uses logical inferences to study con

https://www.maths.lu.se/fileadmin/maths/forskarutbildning/Studieplaner/Matematik_en.pdf - 2025-07-31

Syllabus Mathematical Statistics Page 1 of 11 International Office, LTH Reg. No. U 2020/679 Date 2020-09-08 General syllabus for third-cycle studies in Mathematical Statistics TEFMSF00 The syllabus was approved by the Board of the Faculty of Engineering/LTH 24 September 2007 and most recently amended 8 September 2020 (reg. no U 2020/679). 1. Subject description Mathematical statistics encompasses

https://www.maths.lu.se/fileadmin/maths/forskarutbildning/Studieplaner/Matematisk_statistik_en.pdf - 2025-07-31

Dynamical Borel-–Cantelli Lemmas Alejandro Sponheimer 21/03/2023 The classical Borel-Cantelli lemma in probability theory concerns sequences of independent events and whether or not infinitely many of the events occur. In the context of dynamical systems though, one rarely works with independent sets. Nevertheless, it is sometimes possible to prove dynamical versions of the Borel-Cantelli lemma. I

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/alejandrosponheimer-phdseminar.pdf - 2025-07-31

Time difference of arrival estimation using neural networks Axel Berg 05/05/2022 In this talk I will go through the basics of time difference of arrival (TDOA) estimation using pairs of microphones, which can be used for acoustic sound source localization. Poor TDOA estimation is a common problem in adverse conditions where interference from noise and reverberation dominate the re- ceived signals.

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/axelberg-phdseminar.pdf - 2025-07-31

Fantastic inliers and where to find them Erik Tegler 06/12/2022 A brief introduction to some of the ideas behind the field of robust esti- mation. We will mainly discuss the ”Random sample consensus”-algorithm (RANSAC), which enables us to solve non-convex optimization problems by in- stead solving many subproblems. This will culminate with some examples of applications in computer vision. 1

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/eriktegler-phdseminar.pdf - 2025-07-31

Synchronization in the Kuramoto model Felix Augustsson 19/05/2022 One interesting class of ODE:s related to topics such as the brain, fireflies and people walking on bridges are networks of oscillators. Such networks exhibit interesting non-transient behaviors. However, the systems can generally not be solved exactly due to their complexity and size. In this talk, some classic results concerning t

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/felixaugustsson-phdseminar.pdf - 2025-07-31

Representations of Quivers and Normalform Problems for Matrices Jan Thomm 08/11/2022 We give a short introduction to quivers and their representation theory. With this, we aim to "classify" certain configurations of matrices. In particular, we will see that it is extremely hard to classify two endomorphisms of a vector space simultaneously. 1

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/janthomm-phdseminar.pdf - 2025-07-31

My mama always said a matrix was like a box of numbers Magnus Fries 22/11/2022 A short introduction to the correspondence between topological spaces (geo- metric things) and commutative C∗-algebras (algebraic things) as well as spec- trum of linear operators (space of eigenvalues). This will culminate in the neat tool of continuous functional calculs with which we can, in a sense, treat any normal

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/magnusfries-phdseminar.pdf - 2025-07-31

Camera Calibration and 2D-3D Mapping for Safer Traffic and Saving Lives and Stuff Martin Ahrnbom 31/03/2022 Data driven traffic safety research has previously been difficult due to a lack of an efficient way of collecting large amounts of accurate, non-biased 3D road user statistics. Computer Vision is a promising approach for solving this problem. This seminar will explore how camera calibration

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/martinahrnbom-phdseminar.pdf - 2025-07-31

Best approximations in different settings Olof Rubin 07/02/2023 In this presentation I will discuss how to best approximate a function using polynomials. The answer to the question of what is “best” is different depending on who you ask. To some it may be the approximation that can be explicitly computed in finite time, but here we will search for the actual best approxima- tion. This is an old su

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/olofrubin-phdseminar.pdf - 2025-07-31

Mathematical-Ecological Model for the Evolution of Sand Filters (MEMES-F) Jaime R. Manríquez March 7, 2023 Abstract In this seminar we will look at the mathematical modelling of an eco- logical system present in a slow sand filter (SSF), a water purification system used in the treatment of raw water. From the deduction of a mathematical model from physical balance laws and the incorporation of eco

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/phdseminar_abstract.pdf - 2025-07-31

Discrete Fourier uncertainty Raul Hindov 11/10/2022 In this talk we’ll show how the Fourier transform of the discrete derivative of a compactly supported sequence cannot be too small. 1

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/raulhindov-phdseminar.pdf - 2025-07-31

Inverse resonance problem for Love elastic waves Samuele Sottile 16/06/2022 An Inverse resonance problem consists in the (unique) retrieval of a dif- ferential operator from its eigenvalues and resonances. Using a semi-classical approach, we are able to decouple the elastic wave equation into a Love scalar equation and into a Rayleigh matrix equation. There are only few examples of inverse resonan

https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/samuelesottile-phdseminar.pdf - 2025-07-31

2024 HT_LP1 FMSF10 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSF10 Basic facts Course name Stationary Stochastic Processes Course code FMSF10 ECTS credits 7.5 hp Year 202425 Study period the course was finishedHT_LP1 Programme all (PI) Registrated students 229 Number answers and response rate 46 / 20 % Number answers from males 25 Number answers from females 1

https://www.maths.lu.se/fileadmin/maths/utbildning_education/Kursutv_HT24/FMSF10_2024_HT_LP1_arbetsrapport_en.pdf - 2025-07-31

2024 HT_LP1 FMSF70 CEQ-kursutvärdering ver 9.0 (2021-01-23) LTH Arbetsrapport CEQ, FMSF70 Basfakta Kursnamn Matematisk statistik Kurskod FMSF70 Högskolepoäng 7.5 hp Läsår 202425 Kursen slutade i läsperiod HT_LP1 Program samtliga Antal registrerade på kursen 173 Antal enkätsvar/svarsfrekvens 42 / 24 % Antal män som svarat 13 Antal kvinnor som svarat 28 Arbetstid enligt läro- och timplaner Föreläsni

https://www.maths.lu.se/fileadmin/maths/utbildning_education/Kursutv_HT24/FMSF70_2024_HT_LP1_arbetsrapport.pdf - 2025-07-31

2024 HT_LP2 FMSN20 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSN20 Basic facts Course name Spatial Statistics with Image Analysis Course code FMSN20 ECTS credits 7.5 hp Year 202425 Study period the course was finishedHT_LP2 Programme all Registrated students 21 Number answers and response rate 6 / 29 % Number answers from males 6 Number answers from females 0

https://www.maths.lu.se/fileadmin/maths/utbildning_education/Kursutv_HT24/FMSN20_2024_HT_LP2_arbetsrapport_en.pdf - 2025-07-31