Search results for: STATISTICAL TUNING

• Statistics 21/22

  e-Learning Courses

  • W. Artichowicz

  During the course students will get familiar with the basics of probability and statistics applied to environmental cases.

• Thermodynamics and statistical physics - 2022

  e-Learning Courses

  • P. Weber

  Thermodynamics and statistical physics (TerStaEN)- WFTIMS studenci erasmusa

• StatisticsZB

  e-Learning Courses

  • Z. Bartoszewski

  Statistics

• Statistics for Management

  e-Learning Courses

  • B. Kochański

  Statistics for IM, 2020

• Statistics II 2019

  e-Learning Courses

  • B. Kochański

  Statistics II for International Management

• Statistics II

  e-Learning Courses

  • B. Kochański

  Statistics II - Błażej Kochański

• Statistics

  e-Learning Courses

  • W. Artichowicz

  Statystyka dla inżynierów środowiska.

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Thermodynamics and statistical physics - 2023

  e-Learning Courses

  • P. Weber

• Thermodynamics and statistical physics -2024

  e-Learning Courses

  • P. Weber

• Statistics 2022_23

  e-Learning Courses

  • S. M. Kot

  1.Elements of probability. The axioms of the probability theory 2. Random  variables and their distributions. Discrete and continuous random variables 3. Parameters of random variables: expected value, moments 4. Selected distributions of random variables (Bernoulli, Poison, Gaussian) 5.The distribution in the sample. Visualisation by histograms 6. Measures of statistical location: arithmetic mean, median, quantiles. 7. Measures...

• Statistics II

  e-Learning Courses

  • K. Tura-Gawron

• Essentials of statistics

  e-Learning Courses

  • K. Tura-Gawron

• Essentials of statistics

  e-Learning Courses

  • K. Tura-Gawron

• Interactive Decision Making, Inżynieria Środowiska, Environmental Engineering, 2023/2024 (summer semester)

  e-Learning Courses

  • A. Jakubczyk-Gałczyńska
  • A. Siemaszko

  The course is designed for students of MSc Studies in Environmental Engineering (studies in Polish and English) Person responsible for the subject, carrying out lectures and tutorials: mgr inż. Agata.Siemaszko; agata.siemaszko@pg.edu.pl The person conducting the lectures and tutorials: dr inż. Anna Jakubczyk-Gałczyńska; anna.jakubczyk@pg.edu.pl The course is conducted using the Project-Based Learning (PBL) method. It provides...

• Statistics (EE, MSc, sem. I)

  e-Learning Courses

  • W. Artichowicz

  Statistics course. Kurs statystyki w inżynierii środowiska realizowany w języku angielskim.

• CAD. Integrated Architectural Design BSc in Arch., sem 3 2022/2023

  e-Learning Courses

  • J. Badach
  • D. Cyparski

  During the course students will learn how to use BIM (Building Information Modelling) tools to model the project site and to develop preliminary design concept.Students will work in pairs or groups, using Autodesk Revit software for terrain, site and building modelling.

• Statistics II - lecture

  e-Learning Courses

  • M. Kuc-Czarnecka

• Statistics II - LAB

  e-Learning Courses

  • O. Aydin
  • M. Kuc-Czarnecka

• Statistics II 2024

  e-Learning Courses

  • O. Aydin
  • S. M. Kot

• Descriptive Statistics 2024

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24

• Descriptive Statistics with R

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

• Essentials of statistics 2022_23

  e-Learning Courses

  • S. M. Kot

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Data Mining Path

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Karpus
  • M. Wróbel
  • A. Przybyłek
  • W. Waloszek
  • A. Landowska

  Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

• Descriptive Statistics - summer 2022

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

• Statistics laboratory 2022/2023

  e-Learning Courses

  • B. Kochański
  • Y. Lu

• Statistics II - summer 2022

  e-Learning Courses

  • O. Aydin

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Statistics for Management 2021/22

  e-Learning Courses

  • B. Kochański

• Essentials of statistics 2023/24

  e-Learning Courses

  • S. M. Kot

• Essentials of Statistics - 2023/24

  e-Learning Courses

  • O. Aydin

• Data Mining 2022/2023

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• Data Mining 2021/2022

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• DATA MINING NSTAC 2022

  e-Learning Courses

  • N. Rizun

  NSTAC

• Data Mining 2023/24

  e-Learning Courses

  • P. Weichbroth
  • A. Karpus
  • W. Waloszek

• Official Statistics (AGII) – ang. stacjonarne

  e-Learning Courses

  • M. F. Kaszubowski

• Statistics II - Lab 2023/24

  e-Learning Courses

  • O. Aydin

• Essentials of Statistics (lab winter2023/24)

  e-Learning Courses

  • S. Szymczak

• European Economic Development 2023

  e-Learning Courses

  • A. Parteka
  • R. Ślosarski

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of economic development in Europe.  Key topics: •concepts of economic development, alternative measures of development •factors of economic growth and development (‘determinants of growth’) •history of economic development in Europe •cross-country and cross-regional comparisons •sources: where to find information and data needed for empirical...

• [NF] Physics research methods. Part III

  e-Learning Courses

  • P. Możejko

  Kurs 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 Courses

  • P. Możejko

  Kurs 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...

• Spatial and Regional Planning Studies

  e-Learning Courses

  • I. Haxhiaj
  • Ł. Pancewicz

  The course objective is to teach the basic, practical skills of planning for the architects. Three aspects of planning will be taught during the course: building control, regulatory planning and operational planning. The students will explore the role of planning in granting the building permissions, how to prepare the planning (zoning) regulations and finally what are urban design tools, which can be used to coordinate the development...

• DATA MINING STAC 2022/2023

  e-Learning Courses

  • N. Rizun

  STAC

• Advanced Data Mining 2022/23

  e-Learning Courses

  • P. Weichbroth
  • A. Kołakowska
  • G. Gołaszewski
  • K. Flisikowski
  • A. Karpus
  • K. Goczyła

• Advanced Data Mining 2023/24

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• Statistics I (Zarządzanie II st) - stacjonarne

  e-Learning Courses

  • M. F. Kaszubowski

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

  • T. Zawadzka
  • A. Karpus
  • W. Waloszek
  • K. Goczyła

• DATA MINING NSTAC 2022 ON-LINE

  e-Learning Courses

  • N. Rizun

  NSTAC

• International Trade winter 2022

  e-Learning Courses

  • A. Parteka

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of international trade. During the lectures we will cover patterns of international trade, main models of international trade and topics related to trade policy. During labs students will analyze current issues concerning trade flows in globalized world economy.