Filters
total: 7242
filtered: 250
-
Catalog
- Publications 5879 available results
- Journals 614 available results
- Conferences 35 available results
- Publishing Houses 4 available results
- People 255 available results
- Projects 7 available results
- e-Learning Courses 250 available results
- Events 6 available results
- Open Research Data 192 available results
Chosen catalog filters
Search results for: mathematical methods in physics
-
[ILiT, IŚGiE] Mathematical methods in engineering
e-Learning Courses{mlang pl} Dyscyplina: ILiT, IŚGiE Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: P. Kłosowski Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: ILiT, IŚGiE Obligatory course for 1st-year PhD students Academic teacher: P. Kłosowski Total hours of training: 15 teaching hours Course type: lecture {mlang}
-
[ILiT, IŚGiE] Mathematical methods in engineering
e-Learning Courses{mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: dr inż. Roger Sauer, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr...
-
Mathematical Methods in Engineering 2023/2024
e-Learning CoursesJest to pomocnicza formatka do tworzenia kursów wspomagających nauczanie stacjonarne na WILiŚ. Formatka została utworzona i udostępniona przez CNE. Uwaga: W celu wykorzystania i modyfikacji należy: 1) skopiować kurs wzorcowy 2) dopiero w kopii nanosić zmiany.
-
[NF] Physics research methods Part II
e-Learning Courses{mlang pl} Dyscyplina: nauki fizyczne Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: dr hab. Julien Guthmuller, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: physical sciences Obligatory course for 1st-year PhD students Academic teacher: dr hab. Julien Guthmuller, prof. PG Total hours of training: 15 teaching hours Course type: lecture {mlang}
-
[NF] Physics research methods. Part III
e-Learning CoursesKurs realizowany wspólnie dla doktorantów szkoły doktorskiej i studiów doktoranckich The course is conducted jointly for PhD students of the doctoral school and doctoral studies Franco Bagnoli, University of Florence, Italy - "Thermodynamics, Statistical Mechanics, and Kinetic Gas Theory https://enauczanie.pg.edu.pl/moodle/course/view.php?id=5259 Course type: lecture Total hours of training (part III): 15 teaching hours
-
[NF] Physics research methods. Part II.
e-Learning CoursesKurs realizowany wspólnie dla doktorantów szkoły doktorskiej i studiów doktoranckich The course is conducted jointly for PhD students of the doctoral school and doctoral studies Franco Bagnoli, University of Florence, Italy - "Thermodynamics, Statistical Mechanics, and Kinetic Gas Theory with a computational perspective. https://enauczanie.pg.edu.pl/moodle/course/view.php?id=5259 Course type: lecture Total hours of training...
-
Numerical Methods
e-Learning CoursesNumerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...
-
Introduction to Numerical Simulation
e-Learning CoursesCourse description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...
-
Mathematical Statistics (2022/23)
e-Learning CoursesMathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23
-
Mathematical Statistics (2023/24)
e-Learning CoursesMathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24
-
Mathematical Statistics 2024/25
e-Learning CoursesMathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2024/25
-
Physics of Materials
e-Learning CoursesPhysics of Materials: Doctoral School
-
Technical Physics
e-Learning CoursesTechnical Physics, ćwiczenia grupa 1 (Inżynieria Danych, 3 semestr)
-
Technical Physics 22
e-Learning CoursesTechnical Physics, ćwiczenia (Inżynieria Danych, 3 semestr)
-
Thermodynamics and statistical physics - 2022
e-Learning CoursesThermodynamics and statistical physics (TerStaEN)- WFTIMS studenci erasmusa
-
Technical Physics 2024/25
e-Learning CoursesField of study: Data Engineering; Subject: Technical physics; Lecture notes and other course materials.
-
Technical physics (Data Engineering)
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
-
Physics II - 2021/2022
e-Learning CoursesLECTURE "Physics II - 2021/2022" Kierunek: Green Technology and Monitoring Wydział Chemiczny stopień I, semestr 2
-
Research Methods
e-Learning CoursesThis course on research methods is intended for 5th semester students of BiM Programme.
-
Technical Physics 24/25
e-Learning CoursesTechnical Physics, ćwiczenia grupa 1 (Inżynieria Danych, 3 semestr)
-
Physics I - 2021/2022
e-Learning CoursesLECTURE "Physics I - 2021/2022" Kierunek: Green Technology and Monitoring Wydział Chemiczny stopień I, semestr 1
-
Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
-
Monte Carlo Methods
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
-
Physics I for GT 2024/25
e-Learning CoursesThe course is designed for Students of the Faculty of Chemistry, field of study Green Technologies sem. 1, academic year 2024/25. It contains materials for tutorials and the laboratory in physics.
-
Technical physics (Data Engineering)_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
-
Technical physics (Data Engineering)_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
-
PG_00042018_ PHYSICS I - ET- 2021/22
e-Learning CoursesPhysics I lecture for students from both faculties, course number PG_00042018 Lecture runs on 2021/22 academic year
-
PG_00042018_ PHYSICS I - ET- 2022/23
e-Learning CoursesPhysics I lecture for students from both faculties, course number PG_00042018 Lecture runs on 2022/23 academic year
-
PG_00042018_ PHYSICS I - ET- 2023/24
e-Learning CoursesPhysics I lecture for students from both faculties, course number PG_00042018 Lecture runs on 2023/24 academic year
-
PG_00055087 & PG_00055138_ PHYSICS - DaPE- 2024/25
e-Learning CoursesPhysics I (PG_00055087) and Introduction to Higher Physics (PG_00055138) for students of DAPE Courses run in academic year 2024/25
-
Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
-
PG_00040165_ PHYSICS II - DaPE- 2023/24
e-Learning CoursesPhysics II lecture for students of DAPE, course number PG_00040165 Lecture runs in academic year 2023/24
-
PG_00055087_ PHYSICS II - DaPE- 2022/23
e-Learning CoursesPhysics II lecture for students of DAPE, course number PG_00055087 Lecture runs in academic year 2022/23
-
PG_00042031_ PHYSICS 2 - ET- 2022/23
e-Learning CoursesPhysics 2 lab for students of ET, course number PG_00042031 lab runs on academic year 2022/23
-
PG_00042018_ PHYSICS I - DaPE- 2022/23
e-Learning CoursesPhysics I lecture for students of DAPE, course number PG_00055087 Lecture runs on academic year 2022/23
-
PG_00042031 PHYSICS 2-ET- 23/24
e-Learning CoursesPhysics 2 lab for students of ET, course number PG_00042031 lab runs on academic year 2022/23
-
PG_00055087_ PHYSICS I - DaPE- 2023/24
e-Learning CoursesPhysics I lecture for students of DAPE, course number PG_00055087 Lecture runs in academic year 2023/24
-
PG_00042031 PHYSICS 2-ET- 24/25
e-Learning CoursesPhysics 2 lab for students of ET, course number PG_00042031 lab runs in academic year 2024/25
-
Physics 2, DaPE, sem. 2, W, lato 2021/2022
e-Learning CoursesPhysics 2
-
Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
-
Monte Carlo Methods - 2023/24
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
-
Monte Carlo Methods - 2024/25
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
-
Numerical methods in heat and fluid flow
e-Learning CoursesPresentation of issues concerning mathematical modelling of power installations, including thermodynamic cycles and selected devices of power installations using commercial codes, so that the student is able to properly model the process and interpret the results. Presentation of capabilities of CFD code.
-
Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)
e-Learning CoursesProject on Mathematical and numerical modelling.
-
Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)
e-Learning CoursesProject on Mathematical and numerical modelling.
-
Spectroscopy Methods in Nanotechnology 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
-
Spectroscopy Methods in Nanotechnology 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
-
Numerical Methods for Partial Differential Equations
e-Learning CoursesCourse description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...
-
Multiscale Methods Summer School 2023
e-Learning CoursesSummer school on Multiscale Methods at Gdańsk University of Technology. 3. - 7. July: 10 hours online10. - 14. July: 10 hours online17. - 21. July: 10 hours online24. - 28. July: 30 hours online or in Gdańsk (you choose) Participation is for free! More info and registration: https://ftims.pg.edu.pl/en/science-app/summer-schools-2023/multi-scale-methods-summer-school
-
[ILiT, IŚGiE] Numerical Methods
e-Learning Courses{mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: prof. dr hab. inż. Paweł Kłosowski Liczba godzin: 30 Forma zajęć: wykład/laboratoria {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic...