Search results for: INTERNATIONAL COMPETITIVENESS BIBLIOMETRICS HISTORIOGRAPHY CITATION NETWORK TERM CO-OCCURRENCE KEY-ROUTES MAIN PATH ANALYSIS - Bridge of Knowledge

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Search results for: INTERNATIONAL COMPETITIVENESS BIBLIOMETRICS HISTORIOGRAPHY CITATION NETWORK TERM CO-OCCURRENCE KEY-ROUTES MAIN PATH ANALYSIS

Search results for: INTERNATIONAL COMPETITIVENESS BIBLIOMETRICS HISTORIOGRAPHY CITATION NETWORK TERM CO-OCCURRENCE KEY-ROUTES MAIN PATH ANALYSIS

  • 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

  • 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.

  • International Trade - winter 2023

    e-Learning Courses
    • Z. H. Zarach
    • 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.

  • Basics of Data Warehouses Path

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka
    • K. Goczyła

    Within this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) -  Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.

  • 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. 

  • 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

  • Decisions Analysis STAC 22/23

    e-Learning Courses
    • G. Musiatowicz-Podbiał

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

  • Elective design I: Cultural Heritage Routes – Gdańsk Fortification System - 2022/2023 Project PROMETHEUS

    e-Learning Courses
    • J. Badach
    • J. Borucka
    • J. Szczepański
    • L. Nyka
    • S. Kowalski

    Elective design I:Cultural Heritage Routes – Gdańsk Fortification Systemfor MSc in Arch. Seminars & assignments: 30 hTeacher: akub Szczepański, Justyna Borucka,  Robert Hirsch  Piotr Samól,  Szymon Kowalski, Joanna Badach + Visiting Prof. Sandro Parrinello (from Pavia University) Cultural Heritage Routes – Gdańsk Fortification System This course explores challenges, conflicts and concepts of cultural heritage preservation...

  • International management_2022_2023

    e-Learning Courses
    • M. Zięba
    • E. Johansson
    • M. Gonsiorowska

  • International management_2021_22

    e-Learning Courses
    • M. Zięba
    • E. Johansson

  • International management_2023_24

    e-Learning Courses
    • M. Zięba

  • SUMMER SCHOOL: Arch Drawing 2/ Elective design II: CULTURAL HERITAGE ROUTES – GDAŃSK FORTIFICATION SYSTEM _2023

    e-Learning Courses
    • A. Azadgar
    • J. Badach
    • J. M. Józekowski
    • J. Gorzka
    • J. Borucka
    • P. Samól
    • S. Kowalski
    • D. Cyparski
    • A. Orchowska
    • K. Życzkowska
    • M. Kwasek

    Cultural Heritage Routes – Gdańsk Fortification System This course explores challenges, conflicts and concepts of cultural heritage preservation and protection in urban level, their connection to architectural and urban design in the time of digitalisation and their importance for a future of the cities. The aim of this course, based on the case study city of Gdańsk, is to understand the problem of cultural heritage and...

  • Data Analysis 2023/24

    e-Learning Courses
    • K. Flisikowski

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

  • ENTREPRENEURSHIP AND CREATIVITY - summer term 2021/22

    e-Learning Courses
    • M. Popowska

    The aim of the course is to acquaint students with entrepreneurship as a phenomenon,  increase their pro-entrepreneurial attitudes and develop skills necessary in entrepreneurship process. Special emphasis will be placed on fashion business as representing creative industry. The main objectives are as follows: Learn how to prepare a business model canvas and business plan. Know the backstage of the fashion industry. Identify...

  • ENTREPRENEURSHIP AND CREATIVITY - summer term 2023/24

    e-Learning Courses
    • M. Popowska

    The aim of the course is to acquaint students with entrepreneurship as a phenomenon,  increase their pro-entrepreneurial attitudes and develop skills necessary in entrepreneurship process. Special emphasis will be placed on fashion business as representing creative industry. The main objectives are as follows: Learn how to prepare a business model canvas and business plan. Know the backstage of the fashion industry. Identify...

  • 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

  • INTERNATIONAL MARKETING IM, sem. 2 - summer 2023/2024

    e-Learning Courses
    • E. Gołąb-Andrzejak

    The aim of the course is to familiarise the student with the tools used in international marketing, their specificities and strategies for operating effectively in international markets.

  • Corporate Governance summer term 2024

    e-Learning Courses
    • L. Segreto

  • INTERNATIONAL MARKETING 2022/2023 IM, sem. 2 - summer

    e-Learning Courses
    • E. Gołąb-Andrzejak

     The aim of the course is to familiarize a student with tools used in International Marketing, their specificity and strategies for an effective functioning on international markets.

  • INTERNATIONAL MARKETING 2021/2022 IM, sem. 2 - summer

    e-Learning Courses
    • E. Gołąb-Andrzejak

     The aim of the course is to familiarize a student with tools used in international marketing, their specificity and strategies for an effective functioning on international markets.

  • International financial management

    e-Learning Courses
    • K. Zawadzki

  • International Finance (2023)

    e-Learning Courses
    • K. Kubiszewska

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

    e-Learning Courses
    • B. Woliński

    Decision analysis (l/lab)_winter 2020/21

  • DAYLIGHT IN ARCHITECTURE (Elective Project I: MSc term 1) - 23-24

    e-Learning Courses
    • N. Sokół

    The 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...

  • 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:...

  • INTERNATIONAL MARKETING 2022/2023 IM, sem. 2 - summer - KOPIA

    e-Learning Courses
    • E. Gołąb-Andrzejak

     The aim of the course is to familiarize a student with tools used in International Marketing, their specificity and strategies for an effective functioning on international markets.

  • 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 

  • Organisation Science - winter term 22/23

    e-Learning Courses
    • M. Popowska

    This course is intended for students of the first semester of Bachelor in Management  program at the Faculty of Management and Economics.

  • Organisation Science - winter term 23/24

    e-Learning Courses
    • M. Popowska
    • M. Mustafayev

    This course is intended for students of the first semester of Bachelor in Management  program at the Faculty of Management and Economics.

  • 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

  • International Financial Management (2022)

    e-Learning Courses
    • K. Kubiszewska

  • International Management (FK) - 2022

    e-Learning Courses
    • F. Kutrzeba

  • International financial markets AGIIENG

    e-Learning Courses
    • A. Marszk

  • Polyolefins, commercial and alternative routes toward the world’s most important polymer

    e-Learning Courses
    • M. Bagiński
    • M. Sienkiewicz
    • L. Jasińska-Walc

    The course will consist of lectures followed by discussions. Based on the gained knowledge the Students will be asked to prepare in teams a short essay how to economically produce a selected polyolefin and how to introduce the new product into the market.   

  • Analiza decyzyjna/Decision analysis

    e-Learning Courses
    • B. Woliński

  • Market Analysis 2022/23

    e-Learning Courses
    • A. Kozłowska

  • Financial Analysis (lectures, 2022)

    e-Learning Courses
    • M. Mushafiq
    • K. Kubiszewska

  • Financial Analysis (22/23)

    e-Learning Courses
    • M. Mushafiq
    • K. Kubiszewska

  • Financial Analysis (summer 2024)

    e-Learning Courses
    • P. Figura

  • Market Analysis 2023/24

    e-Learning Courses
    • N. Przybylska
    • E. Gołąb-Andrzejak
    • A. Kozłowska

  • Foundations of Capital Market Analysis

    e-Learning Courses
    • M. Gnyba

  • Foundations of Capital Market Analysis

    e-Learning Courses
    • M. Gnyba

  • Economics and Organisation of Enterprises - winter term 22/23

    e-Learning Courses
    • M. Popowska

    This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)