Filetype
Kurs Program Antal skrivande nybörjare 2023 Därav godkända 2023 Procent godkända 2023 Antal skrivande nybörjare 2022 Därav godkända 2022 Procent godkända 2022 Antal skrivande nybörjare 2021 Därav godkända 2021 Procent godkända 2021 Antal skrivande nybörjare 2020 Därav godkända 2020 Procent godkända 2020 Endimensionell analys, delkurs A2 BME 40 29 73 36 32 89 40 34 85 43 32 74 M 118 94 80 114 97 85
https://www.maths.lu.se/fileadmin/maths/matematik_lth/ResultatJan23.pdf - 2025-05-01
Skrivningsresultat, mars 2023 Kurs Program Antal skrivande nybörjare 2023 Därav godkända 2023 Andel godkända 2023 Antal Skrivande nybörjare 2022 Därav godkända 2022 Andel Godkända 2022 Antal Skrivande nybörjare 2021 Därav godkända 2021 Andel Godkända 2021 Endimensionell analys, delkurs A3 BME 38 26 68 33 28 85 35 29 83 M 113 99 88 115 103 90 115 93 81 MD 25 22 88 28 27 96 34 30 88 A3, totalt 176 1
https://www.maths.lu.se/fileadmin/maths/matematik_lth/ResultatMars2023.pdf - 2025-05-01
Master Programme in Applied Computational Science, Biology, 120 credits Page 1 of 5 Programme sheet Master Programme in Applied Computational Science, Biology, 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
Master Programme in Applied Computational Science, Environmental Science, 120 credits Page 1 of 5 Programme sheet Master Programme in Applied Computational Science, Environmental Science, 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
Master Programme in Computational Science, Physics, 120 credits Page 1 of 6 Programme sheet Master Programme in Computational Science, Physics, 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 computers. We gen
2023 HT_LP1 FMSF15 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSF15 Basic facts Course name Markov Processes Course code FMSF15 ECTS credits 7.5 hp Year 202324 Study period the course was finishedHT_LP1 Programme all Registrated students 68 Number answers and response rate 21 / 31 % Number answers from males 12 Number answers from females 7 Study hours accordin
https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSF15_2023_HT_LP1_arbetsrapport_en.pdf - 2025-05-01
2023 HT_LP2 FMSF50 CEQ-kursutvärdering ver 9.0 (2021-01-23) LTH Arbetsrapport CEQ, FMSF50 Basfakta Kursnamn Matematisk statistik, allmän kurs Kurskod FMSF50 Högskolepoäng 7.5 hp Läsår 202324 Kursen slutade i läsperiod HT_LP2 Program samtliga Antal registrerade på kursen 141 Antal enkätsvar/svarsfrekvens 16 / 11 % Antal män som svarat 11 Antal kvinnor som svarat 5 Arbetstid enligt läro- och timplan
https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSF50_2023_HT_LP2_arbetsrapport.pdf - 2025-05-01
2021 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 202122 Study period the course was finishedHT_LP2 Programme all Registrated students 111 Number answers and response rate 42 / 38 % Number answers from males 29 Number answers from
https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN45_2021_HT_LP2_arbetsrapport_en.pdf - 2025-05-01
2023 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 202324 Study period the course was finishedHT_LP2 Programme all Registrated students 100 Number answers and response rate 47 / 47 % Number answers from males 35 Number answers from
https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN45_2023_HT_LP2_arbetsrapport_en.pdf - 2025-05-01
2021 HT_LP2 FMSN65 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSN65 Basic facts Course name Quantitative Risk Management Using Copulas Course code FMSN65 ECTS credits 7.5 hp Year 202122 Study period the course was finishedHT_LP2 Programme all Registrated students 13 Number answers and response rate 3 / 23 % Number answers from males 2 Number answers from female
https://www.maths.lu.se/fileadmin/maths/utbildning_education/FMSN65_2021_HT_LP2_arbetsrapport_en.pdf - 2025-05-01
Kursutvärdering Kurs: Biostatistisk grundkurs:MASB11 Utvärderas ocks̊a p̊a LTH: Nej Lärare: Ullrika Sahlin Antal studenter: 42 Svarsfrekvens: 6/42 Betyg: 7 VG, 18 G, 7 U Sammanfattning: Studenterna verkar i stort sett nöjda. Dock var det lite l̊ag svarsfrekvens och lite d̊alig genomströmning. Kommentarer: Vi ska titta p̊a schemaläggingen av miniprojektet tills nästa g̊ang. 1 Course evaluati
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Biostatistisk_grundkursMASB11.pdf - 2025-05-01
Course evaluation Course:Design of experimemts:MASC05 Evaluated on LTH: Yes Lecturer:Fredrik Olsson Number of students: 14 Grades: 5 VG, 6 G, 3 U Summary: Overall the students were satisfied although there were some technical issues due the distance education. Comments: The course work overall well. The problems that occured due to the Corona pandemic will be reoslved until next time. 1 Course eva
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Design_of_experimentsMASC05.pdf - 2025-05-01
Course evaluation Course: Linear and logistic regression:MASM22 Evaluated on LTH: Yes Lecturer:Anna Lindgren Number of students:18 Grades: 6 VG, 9 G, 3 U Summary: The students were to a great extent really satisfied. Comments: The course works well and will essentially be given in the same way next time. 1 Course evaluation report - CEQ, FMSN30 Basic facts Course name Linear and Logistic Regressio
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Linear_and_Logistic_Regression__3_.pdf - 2025-05-01
Kursutvärdering Kurs: Matematisk statistik:MASA02 Utvärderas ocks̊a p̊a LTH: Nej Lärare:: Dragi Anevski Antal studenter: 56 Svarsfrekvens: 10/56 Sammanfattning: En del av studenterna hade kritiska kommentarer. Det fanns bland annat kommentarer kring tiden det tog för tentarättning som bör åtgärdas. Även kurslitteraturen fick en del kritik. Kommentarer: Åtgärder till nästa g̊ang: Tentor
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Matematisk_statistik_MASA02.pdf - 2025-05-01
Kursutvärdering Kurs: Matematisk statistik:MASA02 Utvärderas ocks̊a p̊a LTH: Nej Lärare:: Dragi Anevski Antal studenter: 37 Svarsfrekvens: 10/37 Sammanfattning: Kursen fick lite blandad kritik. Det fanns bland annat kommentarer kring organisationen av övningar och labbar. Kommentarer: Åtgärder till nästa g̊ang: Vi kommer att se över kursslitteratur samt övningar och labbar till nästa g̊a
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Matematisk_statistik_MASA02_HT21.pdf - 2025-05-01
Kursutvärdering Kurs: Matematisk statistik:MASA02 Utvärderas ocks̊a p̊a LTH: Nej Lärare:: Dragi Anevski and Stanislav Volkov Antal studenter: 71 Svarsfrekvens: 6/71 Sammanfattning: Kursen fick lite blandad kritik. Det fanns bland annat synpunkter kring en av övningsledarna/labhandledarna. Kommentarer: Åtgärder till nästa g̊ang: Vi kommer att ändra övningsledare/labhandledare samt se över
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Matematisk_statistik_MASA02_HT23.pdf - 2025-05-01
Kursutvärdering Kurs: Matematisk statistik för fysiker:MASB03 Utvärderas ocks̊a p̊a LTH: Ja Lärare: Joakim Lübeck Antal studenter: 4 Svarsfrekvens: 1/4 Betyg: 0 VG, 0 G, 1 U Sammanfattning: En student svarade. För litet underlag för analys. Kommentarer: P̊a kursutvärderingen fr̊an LTH finns dock lite kritik om hur omställningen till distan- sundervisning mitt i kursen gjordes. Dettta prob
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Matematisk_statistik_foer_fysikerMASB03.pdf - 2025-05-01
Course evaluation Course:Monte Carlo Methods for Statistical Inference:MASM11 Evaluted on LTH: Yes Lecturuier: Magnus Wiktorsson Number of students: 16 Grades: 10 VG, 2 G, 4 U Summary: The students were overall satisfied. Some students had issues regarding the grading of the projects. Comments: The course works in general well. However, next time we should be more clear about what we expect from t
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Monte_Carlo_Methods_for_Statistical_Inference.pdf - 2025-05-01
Course evaluation Course: Probability theory MASC01 Evaluated on LTH: Yes Lecturer: Tatyana Turova Number of students: 39 Response frequency: 13% Grades 14 VG, 13 G, 12 U Summary: Students who answered were overall satisfied. There was a very low response frequency so the reults are uncertain. Comments: The course will essentially be held in the same way next time. 1 Report Course Evaluation, FMSF
https://www.maths.lu.se/fileadmin/maths/utbildning_education/KU_Probability_theoryMASC01.pdf - 2025-05-01
2024 VT_LP1 FMSF05 CEQ Course evaluation ver 9.0 (2021-01-23) LTH Course evaluation report - CEQ, FMSF05 Basic facts Course name Probability Theory Course code FMSF05 ECTS credits 7.5 hp Year 202324 Study period the course was finishedVT_LP1 Programme all Registrated students 55 Number answers and response rate 6 / 11 % Number answers from males 3 Number answers from females 1 Study hours accordin
https://www.maths.lu.se/fileadmin/maths/utbildning_education/Kursutv_VT24/FMSF05_2024_VT_LP1_arbetsrapport_en.pdf - 2025-05-01
