Filters
total: 1613
filtered: 21
-
Catalog
Chosen catalog filters
Search results for: monte carlo simulations
-
Monte Carlo simulations
e-Learning CoursesVirtual platform for the project "Monte Carlo simulations of energetic electrons and positrons in condensed matter".
-
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.
-
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.
-
[IMe] Advanced numerical methods in mechanics
e-Learning Courses{mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....
-
Podstawy metod numerycznych 2024
e-Learning Courses1.(0,5 godz.) Zasady dobrego programowania. Testowanie i usuwanie błedów. 2. (2 godz.) Metody znajdowania miejsc, zerowych funkcji, w tym: metoda bisekcji, metoda Newtona-Raphsona, metoda fałszywych pozycji, metoda Secansa i metody hybrydowe. 3. (2 godz.) Interpolacja, w tym, interpolacja Lagrange"a i interpolacja Hermite"a.4. (2 godz.) Interpolacja cd., funkcje gięte.5. (2 godz.) Rozwiązywanie układów równań liniowych: metoda...
-
Podstawy metod numerycznych
e-Learning Courses1.(0,5 godz.) Zasady dobrego programowania. Testowanie i usuwanie błedów. 2. (2 godz.) Metody znajdowania miejsc, zerowych funkcji, w tym: metoda bisekcji, metoda Newtona-Raphsona, metoda fałszywych pozycji, metoda Secansa i metody hybrydowe. 3. (2 godz.) Interpolacja, w tym, interpolacja Lagrange"a i interpolacja Hermite"a.4. (2 godz.) Interpolacja cd., funkcje gięte.5. (2 godz.) Rozwiązywanie układów równań liniowych: metoda...
-
Theoretical Principles of Nanotechnology 2022/2023
e-Learning CoursesThis is the webpage for Theoretical Principles of Nanotechnology for (Nanostructures and computer simulations in material science)
-
Spectroscopy Methods in Nanotechnology - laboratory 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
-
Spectroscopy Methods in Nanotechnology - laboratory 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
-
Introduction to quantum mechanics 2022/2023
e-Learning CoursesIntroduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1
-
Introduction to quantum mechanics 2024/2025
e-Learning CoursesIntroduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1
-
Diploma seminar - 2022
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
-
Diploma seminar - 2023
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
-
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.
-
Team Strategies - sem. 2022/23
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
-
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.
-
Team Strategies - sem. 2023/24
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
-
Team Strategies - sem. 2024/25
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
-
DAYLIGHT IN ARCHITECTURE (Elective Project I: MSc term 1) - 23-24
e-Learning CoursesThe objectives of this course are: To familiarize students with the role and importance of daylight in shaping building spaces and interiors. To learn about the basics of daylight simulations in the context of complex design decisions and for LEED and BREEAM, integrated design purposes. Proposed assignments 1 & 2: 1. Daylight analysis exterior, the interior of the iconic building (sunlight provision, daylight factor, and...
-
Daylight in Architecture 2022/23
e-Learning CoursesTutor: Professor Claudia Naves David Amorim (University of Brasilia) Project: 60 h (lectures + online platform + individual consultations) With a support of e-platform NLITED educational content; http://lms.nlited.eu/, Students will become familiar with the different methods of daylight assessment within the built environment. Innovative daylight design is understood as a better user-centred and energy-efficient design strategy. The...