Search results for: ALGORITHMIC JOURNALISM

• Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022

  e-Learning Courses

  • K. Pastuszak

  In real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...

• Data Structures (Doctoral Studies) - New

  e-Learning Courses

  • K. Goczyła

  The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

• Algorithms and Data Structures 2022

  e-Learning Courses

  • R. Ostrowski
  • K. Manuszewski
  • T. Pikies
  • K. Wereszko
  • A. Jastrzębski
  • M. Jurkiewicz
  • T. Goluch

  WETI, DS, Algorithms and Data Structures

• Image Processing in Robotics (2021/2022)

  e-Learning Courses

  • P. Chudziak

  For ISD M.Sc. (II degr.) 2 sem. Participants are to learn image processing algorithms related to transformation, filtration, feature detection (image descriptors), image processing algorithms in robotic industrial systems.

• Virtual team collaboration - Spring'24

  e-Learning Courses

  • J. Dembski
  • B. Wiszniewski

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• Virtual team collaboration - Spring'24

  e-Learning Courses

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• Data Structures (Doctoral Studies)

  e-Learning Courses

  • K. Goczyła

  The course covers basic data structures and computer algorithms used in information tehcnology applications. 

• Algorithms & Data Structures 2022/23

  e-Learning Courses

  • R. Janczewski
  • K. Manuszewski
  • M. Jurkiewicz

• Algorithms & Data Structures 23/24

  e-Learning Courses

  • R. Ostrowski
  • K. Manuszewski
  • A. Jastrzębski
  • M. Jurkiewicz
  • T. Goluch

• Team Strategies - sem. 2022/23

  e-Learning Courses

  • T. Białaszewski

  The 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. 2023/24

  e-Learning Courses

  • T. Białaszewski

  The 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

• Algorytmy równoległe i rozproszone/Parallel and distributed >> algorithms

  e-Learning Courses

  • J. Cychnerski
  • M. Matuszek
  • P. Kaczmarek
  • P. Czarnul

• Monte Carlo Methods

  e-Learning Courses

  • J. Franz

  This 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 Courses

  • J. Franz

  This 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.

• Deep Learning Basics 2023/24

  e-Learning Courses

  • K. Draszawka

  A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

• Diploma Seminar (PG_00042079) D&PE 2023 Winter Semester

  e-Learning Courses

  • M. Deja

  Presentation of the topic, the main issues of the diploma thesis and the tasks of the diploma thesis completed so far. The topic of the presentation is the same as the topic of the diploma thesis. Presentation of a literature analysis, including, among others: 10 papers from journals related to the topic of the work. Submitting to e-learning platform: - pdf version of the presentation - printed description (max 4 pages) a  of the...

• Projektowanie układów VLSI

  e-Learning Courses

  • A. Bekasiewicz
  • A. Pietrenko-Dąbrowska

  The lecture tackles the problem of VLSI circuits design. In particular, emphasis is put on the physical design stage and more in-depth discussion of its sub-components. The lecture also focus on detailed explanation of selected numerical algorithms that are utilized in the course of physical design. Specialization: Microelectronic Systems

• [soft skills] Scientific databases and information skills

  e-Learning Courses

  • A. Klej
  • M. Szuflita-Żurawska

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   Liczba godzin: 5 Forma zajęć: wykład {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher: Total hours of training: 5 teaching hours Course type: lecture {mlang} Soft skills Area II - researcher's workshop "Scientific databases and information skills" The training...

• [soft skills] Scientific databases and information skills

  e-Learning Courses

  • R. Jankowski
  • A. Klej
  • M. Szuflita-Żurawska

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  Magdalena Szuflita-Żurawska, Biblioteka PG Liczba godzin: 5 Forma zajęć: wykład {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher: Magdalena Szuflita-Żurawska, GUT Library Total hours of training: 5 teaching hours Course type: lecture {mlang} Soft skills Area...

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• CCS-lecture-2023-2024

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...