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Kurs Program Antal skrivande nybörjare 2023 Godkända 2023 Procent Antal skrivande nybörjare 2022 Godkända 2022 Procent Antal skrivande nybörjare 2021 Godkända 2021 Procent Antal skrivande nybörjare 2020 Godkända 2020 Procent Antal nybörjare 2019 Godkända 2019 Procent Endimensionell analys, delkurs A1 BME 45 40 89 42 37 88 43 40 93 43 39 91 48 39 81 M 128 112 88 28 25 89 128 104 81 127 108 85 134 1

https://www.maths.lu.se/fileadmin/maths/matematik_lth/ResultatOkt23.pdf - 2025-11-13

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Lund Course Proposal Title: Introduction to Optimal Transport and its applications Basic Details: Core Audience: Pure/App./Stats Course Format: 5x 2 hr lectures Course Description: Optimal transport is a powerful mathematical theory at the interface of probability theory, partial differential equations, optimization, fluid mechanics and functional analysis. Applications of Optimal Transport are in

https://www.maths.lu.se/fileadmin/maths/ovrigt/Cotar_Course._Proposal_Lund2026.pdf - 2025-11-13

Master Programme in Applied Computational Science, Chemistry, 120 credits

Master Programme in Applied Computational Science, Chemistry, 120 credits Page 1 of 5 Programme sheet Master Programme in Applied Computational Science, Chemistry, 120 credits September 2025 – June 2027 Computations are becoming more and more important in research and industry. To make predictions, analysis or to replace experiments, we make use of numerical simulations and machine learning on lar

https://www.maths.lu.se/fileadmin/maths/ovrigt/computational_science/Programme_sheet_Master_Programme_in_Applied_Computational_Science_Chemistry_2025-2027_120_credits.pdf - 2025-11-13

Master Programme in Applied Computational Science, Geology, 120 credits

Master Programme in Applied Computational Science, Geology, 120 credits Page 1 of 4 Programme sheet Master Programme in Applied Computational Science, Geology, 120 credits September 2025 – June 2027 Computations are becoming more and more important in research and industry. To make predictions, analysis or to replace experiments, we make use of numerical simulations and machine learning on large c

https://www.maths.lu.se/fileadmin/maths/ovrigt/computational_science/Programme_sheet_Master_Programme_in_Applied_Computational_Science_Geology_120_credits__4___2025_2027.pdf - 2025-11-13

Programme sheet_Master Programme in Applied Computational Science, Physical Geography, 120 credits

Programme sheet_Master Programme in Applied Computational Science, Physical Geography, 120 credits Page 1 of 4 Programme sheet Master Programme in Applied Computational Science, Physical Geography, 120 credits September 2025 – June 2027 Computations are becoming more and more important in research and industry. To make predictions, analysis or to replace experiments, we make use of numerical simul

https://www.maths.lu.se/fileadmin/maths/ovrigt/computational_science/Programme_sheet_Master_Programme_in_Applied_Computational_Science_Physical_Geography_2025-2027_120_credits__1_.pdf - 2025-11-13

2023 HT_LP1 FMSF10 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2023 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 202324 Study period the course was finishedHT_LP1 Programme all (PI) Registrated students 211 Number answers and response rate 69 / 33 % Number answers from males 46 Number answers from females 2

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSF10_2023_HT_LP1_arbetsrapport_en.pdf - 2025-11-13

2021 HT_LP2 FMSF80 CEQ-kursutvärdering ver 9.0 (2021-01-23) LTH

2021 HT_LP2 FMSF80 CEQ-kursutvärdering ver 9.0 (2021-01-23) LTH Arbetsrapport CEQ, FMSF80 Basfakta Kursnamn Matematisk statistik, allmän kurs Kurskod FMSF80 Högskolepoäng 9.0 hp Läsår 202122 Kursen slutade i läsperiod HT_LP2 Program samtliga Antal registrerade på kursen 271 Antal enkätsvar/svarsfrekvens 92 / 34 % Antal män som svarat 57 Antal kvinnor som svarat 32 Arbetstid enligt läro- och timpla

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSF80_2021_HT_LP2_arbetsrapport.pdf - 2025-11-13

2021 HT_LP2 FMSN20 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2021 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 202122 Study period the course was finishedHT_LP2 Programme all Registrated students 32 Number answers and response rate 6 / 19 % Number answers from males 4 Number answers from females 1

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN20_2021_HT_LP2_arbetsrapport_en.pdf - 2025-11-13

2023 HT_LP2 FMSN20 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2023 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 202324 Study period the course was finishedHT_LP2 Programme all Registrated students 17 Number answers and response rate 6 / 35 % Number answers from males 6 Number answers from females 0

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN20_2023_HT_LP2_arbetsrapport_en.pdf - 2025-11-13

2022 HT_LP2 FMSN45 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2022 HT_LP2 FMSN45 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSN45 Basic facts Course name Mathematical Statistics, Time Series Analysis Course code FMSN45 ECTS credits 7.5 hp Year 202223 Study period the course was finishedHT_LP2 Programme all Registrated students 90 Number answers and response rate 19 / 21 % Number answers from males 14 Number answers from f

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN45_2022_HT_LP2_arbetsrapport_en.pdf - 2025-11-13

2021 HT_LP2 FMSN60 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2021 HT_LP2 FMSN60 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSN60 Basic facts Course name Financial Statistics Course code FMSN60 ECTS credits 7.5 hp Year 202122 Study period the course was finishedHT_LP2 Programme all Registrated students 32 Number answers and response rate 6 / 19 % Number answers from males 5 Number answers from females 0 Study hours accord

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN60_2021_HT_LP2_arbetsrapport_en.pdf - 2025-11-13

2023 HT_LP2 FMSN60 CEQ Course evaluation ver 9.0 (2021-01-23) LTH

2023 HT_LP2 FMSN60 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSN60 Basic facts Course name Financial Statistics Course code FMSN60 ECTS credits 7.5 hp Year 202324 Study period the course was finishedHT_LP2 Programme all Registrated students 27 Number answers and response rate 6 / 22 % Number answers from males 4 Number answers from females 2 Study hours accord

https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN60_2023_HT_LP2_arbetsrapport_en.pdf - 2025-11-13

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Kursutvärdering Kurs: Biostatistisk grundkurs:MASB11 Utvärderas ocks̊a p̊a LTH: Nej Lärare: Ullrika Sahlin Antal studenter: 37 Svarsfrekvens: 15/37 Betyg: 15 VG, 8 G, 14 U Sammanfattning: Studenterna verkar i stort sett nöjda. Det fanns dock lite kring den digitala undervisnin- gen och återkopplingen till studenterna som beh0̈ver följas upp. Det var ocks̊a lite d̊alig genomströmning. Kommen

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Biostatistisk_grundkurs_MASB11_VT21.pdf - 2025-11-13

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Kursutvärdering Kurs: Biostatistisk grundkurs:MASB11 Utvärderas ocks̊a p̊a LTH: Nej Lärare: Ullrika Sahlin Antal studenter: 39 Svarsfrekvens: 12/39 Betyg: 15 VG, 11 G, 2 U Sammanfattning: Studenterna verkar delvis nöjda. Det fanns lite praktiska problem kring datorlaborationerna och miniprojekten. Kommentarer: Vi ska titta p̊a genomförandet av datorlaborationerna och miniprojektet tills näst

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Biostatistisk_grundkurs_MASB11_VT23.pdf - 2025-11-13

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Kursutvärdering Kurs: Matematisk statistik:MASA02 Utvärderas ocks̊a p̊a LTH: Nej Lärare:: Dragi Anevski and Stanislav Volkov Antal studenter: 60 Svarsfrekvens: 9/60 Sammanfattning: Kursen fick lite blandad kritik. Det fanns bland annat kritiska synpunkter kring organisa- tionen av övningar och labbar. Kommentarer: Åtgärder till nästa g̊ang: Vi kommer att se över kursslitteratur samt övnin

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Matematisk_statistik_MASA02_HT22.pdf - 2025-11-13

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Course evaluation Kurs:Nonparametric inference:MASM27 Evaluated on LTH: No Lecturer:Dragi Anevski Number of students: 11 Response freq: 2/18 Summary: The students seems satisfied with the course. Comments: Continue in the same way as before. 1 MAS27 Non Parametric inference VT23 Respondents: 11 Answer Count: 2 Answer Frequency: 18,18 % I have studied this course as part of  I have studied this cou

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Non_parametric_inference_MASMASM27_VT23.pdf - 2025-11-13

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Kursutvärdering Kurs: Nonlinear Time series analysis:MASM12 Utvärderas ocks̊a p̊a LTH: Nej Lärare: Erik Lindström Antal studenter: 4 Svarsfrekvens: 1/4 Sammanfattning: Den student som svarade var väldigt nöjd. Kommentarer: Det ser bra ut. Vi fortsätter i samma anda. 1 MASM12 Nonlinear Time series analysis HT21 Respondents: 5 Answer Count: 1 Answer Frequency: 20,00 % I have studied this cour

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Nonlinear_Time_series_analysis_MASM12.pdf - 2025-11-13

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Course evaluation Course : Stationary and non stationary spectral analysis:MASM26 Evaluated on LTH: Yes Lecturer: Maria Sandsten and Andreas Jakobsson Number of students: 9 Grades 7 VG, 2 G, 0 U Summary: One student wanted a more precise description of what was expected in the projects. Over all the students were satified and we did well on the course. Comments: We will try to give a more precise

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Stationary_and_non_stationary_spectral_analysisMASM26.pdf - 2025-11-13

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Course evaluation Course : Statistical Modelling of Extreme Values:MASM15 Evaluated on LTH: Yes Lecturer: Nader Tajvidi Number of students: 15 Grades 2 VG, 4 G, 9 U Summary: There were some issues regarding the examination of the course due to distance education otherwise the course works well. Comments: The issues related to distance eduation will be resolved the next time the course is given. 1

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Statistical_Modelling_of_Extreme_ValuesMASM15.pdf - 2025-11-13

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Course evaluation Kurs:Statistical inference heory:MASC02 Evaluated on LTH: No Lecturer:Dragi Anevski Number of students: 31 Response freq: 7/31 Grades 8 VG, 12 G, 1 U Summary: Students did complain about that some problem sessions were cancelled and that some lectures were postponed until the end of the course. Comments: Due to Corona there clearly was some issues regarding the structure of the c

https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Statistisk_inferensteoriMASC02__1_.pdf - 2025-11-13