Search results for: TECHNO-ECONOMIC ANALYSIS

• 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...

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  e-Learning Courses

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• Management and economic of engineer projects

  e-Learning Courses

  • A. Ossowska

  Lectures  - 05 October-30 November, 2023 1. Project management: Engineers, projects, management, planning and scheduling, personnel and organizational, team building, project control, estimating and ordering. 2. Team building: personality types, team effectiveness. 3. Project management: WBS, Gantt, Earned Value Method, critical path, risk management. 4. Economic Engineering: Establishing economic equivalence, Interest: cost...

• Economic growth_winter2022_2023

  e-Learning Courses

  • J. Wolszczak-Derlacz

  By the completion of the course student should be able to: a) identify and use key concepts related to the growth theories and process of convergence, b) apply comparative analytical skills necessary for cross-cultural analysis, c) curry an independent research on selected topics and to present the results in a well-organized way.

• TIME SERIES MODELING (PG_00063724)

  e-Learning Courses

  • P. Paradowski

  Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

• Socio-economic development AG2 eng sem2

  e-Learning Courses

  • A. Sobiechowska-Ziegert

  Socio-economic development (Economic Analytics - Master Studies, sem. 2)

• ECONOMIC GROWTH AND CONVERGENCE THEORIES _AP

  e-Learning Courses

  • A. Parteka
  • J. Wolszczak-Derlacz

  ECONOMIC GROWTH AND CONVERGENCE THEORIES  Course run in summer semester 2023/2024

• Introduction to European Economic Integration - Nowy

  e-Learning Courses

  • J. Wolszczak-Derlacz

  The course is designed for students not familiar with concepts of European Integration, also for non-EU students. By the completion of the course, students will be able to define practical implications of the theory of economic integration.

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• 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...

• Economic Geography

  e-Learning Courses

• ECONOMIC LAW

  e-Learning Courses

  • K. Zawadzka-Wochyń

• Economic growth_winter_2024_2025

  e-Learning Courses

  • J. Wolszczak-Derlacz

• Economic growth_winter2023_2024

  e-Learning Courses

  • J. Wolszczak-Derlacz

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• 3. Economic Sociology

  e-Learning Courses

  • A. Karalus

• European Economic Development

  e-Learning Courses

  • R. Ślosarski

• Socio-economic development_summer2023

  e-Learning Courses

  • E. Lechman

• European Economic Integration

  e-Learning Courses

  • N. Daszkiewicz

• Macroeconomic analysis

  e-Learning Courses

  • M. Olczyk

• Market analysis

  e-Learning Courses

  • A. Kozłowska

  Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

• Financial Analysis

  e-Learning Courses

  • K. Kubiszewska

• Decision analysis

  e-Learning Courses

  • B. Woliński

• Economic History of Globalization

  e-Learning Courses

  • A. Sobiechowska-Ziegert

• Empirical research on household economic behaviour and well-being (MK_AGIIA_B16)

  e-Learning Courses

  • P. Paradowski

  Empirical research on household economic behaviour and well-being" - Analityka gospodarcza (studia w jęz. angielskim) (WZiE), II stopnia, stacjonarne, 2020/2021 - zimowy , LAB

• Decision analysis (l/lab) winter 2020/21

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

• [EiF] Economic theory - micro

  e-Learning Courses

  • A. Parteka

  {mlang pl} Dyscyplina:  Ekonomia i Finanse Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:   dr hab. Tomasz Brodzicki Liczba godzin: 30 h Forma zajęć: wykład {mlang} {mlang en} Discipline: Economics and Finance Obligatory course for 1st and 2nd year PhD students Academic teacher:  dr hab. Tomasz Brodzicki Total hours of training: 30 teaching hours Course type: lecture {mlang}

• [EiF] Economic theory - macro

  e-Learning Courses

  • E. Lechman

  {mlang pl} Dyscyplina:  Ekonomia i Finanse Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:   dr hab. Ewa Lechman, prof. F. Reganati Liczba godzin: 30 h Forma zajęć: wykład {mlang} {mlang en} Discipline: Economics and Finance Obligatory course for 1st and 2nd year PhD students Academic teacher:  dr hab. Ewa Lechman, prof. F. Reganati Total hours of training: 30 teaching hours Course type: lecture {mlang}

• [EiF] Economic theory - macro

  e-Learning Courses

  • E. Lechman

  {mlang pl} Dyscyplina: EiF Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  E. Lechman, F. Reganati Liczba godzin: 30 Forma zajęć: wykład {mlang} {mlang en} Discipline: EiF Obligatory course for 1st-year PhD students Academic teacher: E. Lechman, F. Reganati Total hours of training: 30 teaching hours Course type: lecture {mlang}  

• Visualization of Economic Data - 2022

  e-Learning Courses

  • O. Aydin

• Introduction to European Economic Integration

  e-Learning Courses

  • N. Daszkiewicz

• Selected aspects of modern X-ray structural analysis 2024

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Fundamentals of microscopic analysis

  e-Learning Courses

  • A. Zieliński

• Management and economic of engineer projects

  e-Learning Courses

  • A. T. Wiśniewska

• Management and economic of engineer projects

  e-Learning Courses

  • D. E. Zakrzewska

• Socio-economic development (summer 2021_22)

  e-Learning Courses

  • S. Szymczak

• European Economic Integration (2023/24)

  e-Learning Courses

  • L. Segreto

• ECONOMIC HISTORY OF GLOBALIZATION - summer semester2022

  e-Learning Courses

  • K. Flisikowski
  • L. Segreto

• Visualization of economic data 2024/2025

  e-Learning Courses

  • O. Aydin

• Introduction to European Economic Integration (BIM2)

  e-Learning Courses

  • N. Daszkiewicz

• Economic History of Globalization 2024/2025

  e-Learning Courses

  • F. Coriolano

• Visualization of Economic Data - 2023/24

  e-Learning Courses

  • O. Aydin

• Analiza decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński

• Market Analysis 2022/23

  e-Learning Courses

  • A. Kozłowska