Creation and implementation of research and scientific projects WF-OB-PRBN
- https://teams.microsoft.com/l/team/19%3AGFLa0qDNq6Aa8YWqr-A5u5NQAd2amGZUawP_mmdNIw01%40thread.tacv2/conversations?groupId=52b773d7-5e48-43f8-a80f-ec5998fa3001&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2021/22_Z)
- https://teams.microsoft.com/l/team/19%3AGFLa0qDNq6Aa8YWqr-A5u5NQAd2amGZUawP_mmdNIw01%40thread.tacv2/conversations?groupId=52b773d7-5e48-43f8-a80f-ec5998fa3001&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2022/23_Z)
- https://teams.microsoft.com/l/team/19%3AGFLa0qDNq6Aa8YWqr-A5u5NQAd2amGZUawP_mmdNIw01%40thread.tacv2/conversations?groupId=52b773d7-5e48-43f8-a80f-ec5998fa3001&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2023/24_Z)
- https://teams.microsoft.com/l/team/19%3AGFLa0qDNq6Aa8YWqr-A5u5NQAd2amGZUawP_mmdNIw01%40thread.tacv2/conversations?groupId=52b773d7-5e48-43f8-a80f-ec5998fa3001&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2024/25_Z)
The first part of the course will be devoted to preparing an effective application for research funding:
Classes on the appropriate selection of statistical analysis methods in the context of solving a research problem and interpreting research results
range of possibilities and the most popular methods of financing scientific research (including NCN)
principles and rules of substantive preparation of grant applications
online libraries and scientific journals
constructing budgets and schedules of scientific projects
evaluation and settlement of scientific projects
commercialization of research results and management of your intellectual property
The extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package, including:
stages of scientific research (principles of goal formation, scientific hypotheses, falsification) statistics as a tool for testing hypotheses
parametric and nonparametric statistical methods (ANOVA, MANOVA, a priori and a posteriori hypotheses, simple and multiple regression analysis, Chi2 test, tests testing the sample distribution)
multidimensional statistical methods (cluster analysis, general linear model)
In addition to the application of the methods mentioned above, the emphasis will also be placed on the issue of conditions in which a given type of analysis is allowed to be performed, interpretation of results and methods of presenting the results of analyzes in MA theses, articles and other types of publications.
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Term 2021/22_Z:
The first part of the course will be devoted to preparing an effective application for research funding: The extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package, including: |
Term 2022/23_Z:
The first part of the course will be devoted to preparing an effective application for research funding: The extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package, including: |
Term 2023/24_Z:
The first part of the course will be devoted to preparing an effective application for research funding: The extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package, including: |
Term 2024/25_Z:
The first part of the course will be devoted to preparing an effective application for research funding: The extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package, including: |
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
(in Polish) Grupa przedmiotów ogólnouczenianych
(in Polish) Opis nakładu pracy studenta w ECTS
Subject level
Learning outcome code/codes
Type of subject
Course coordinators
Learning outcomes
In terms of knowledge:
OB2_W02 - the student knows research methods from selected sciences from the fields of natural, social and humanities sciences
OB2_W05 - the student knows statistical methods and tools in the field of formulating hypotheses, analyzing conclusions and drawing conclusions
OB2_W11 - the student knows the methodology of preparing a scientific paper
In terms of skills:
OB2_U01 - the student is able to perform and describe research tasks individually and in a team
OB2_U02 - the student is able to select the appropriate methodology to solve a research or practical problem
OB2_U03 - the student is able to apply the principles of scientific or project work, independently and in a team
OB2_U09 - the student is able to plan and use appropriate methods and techniques to
solve a given problem in environmental protection
In terms of competences:
OB2_K02 - the student expands and improves their professional skills
OB2_K08 - the student cares about the reliability and credibility of their work
Research project preparation including:
-the range of possibilities and the most popular ways of financing scientific research (e.g. NCN), principles and rules of substantive preparation of grant applications, scientific libraries and journals available via the Internet, construction of budgets and schedules for scientific projects, evaluation and accounting for scientific projects, commercialization of research results and management of one's intellectual property (OB2_W11, OB2_U01, OB2_U03, OB2_U09, OB2_K02, OB2_K08)
An extensive part of the course will be devoted to statistical methods - largely in the form of practical exercises using the STATGRAPHIC CENTURION package including:
- Classes on the appropriate selection of methods of statistical analysis in the context of solving a research problem and interpreting the results of research, stages of implementation of a scientific study (principles of forming objectives, scientific hypotheses, falsification) statistics as a tool for hypothesis testing, parametric and non-parametric statistical methods (ANOVA, MANOVA, a priori and a posteriori hypotheses, simple and multiple regression analysis, Chi2 test, tests examining sample distribution), multivariate statistical methods (cluster analysis, general linear model) (OB2_W02, OB2_W05, OB2_U02, OB2_U03, OB2_U09, OB2_K08)
In addition to the application of the listed methods themselves, emphasis will also be placed on the question of the conditions under which an analysis of a given type is allowed to be performed, the interpretation of the results, and how to present the results of the analyses in master's theses, articles and other types of publications.
ECTS 3
task 1: active participation in classes- 30h
task 2: preparation of a research project- 30h
task 3: own work - 25h
Assessment criteria
Project part: preparation of a research project.
The condition for passing the project part is to prepare a research project together with a research cost estimate in the form of a Word or PDF file. Submitting the project before the start of the exam session. Criteria for assessing the research project:
Very good - the project was prepared correctly in its entirety, containing all structural elements with a well-prepared cost estimate.
Good plus - the project was prepared correctly but with minor errors in the cost estimate
Good - the project was prepared correctly but with basic errors in the cost estimate
Satisfactory plus - Minor errors in the content of the project together with basic errors in the cost estimate
Satisfactory - Errors in the project summary (methods/objectives of the work), errors in the preparation of research tasks, errors in the cost estimate.
Insufficient mark – no project submitted or formal and structural errors in the cost estimate, no literature, no research objectives, no research hypotheses, no description of the research method/methodology and the impact of the expected results on the development of science, civilization, society, no concept and research plan.
Statistical part: an exam to check whether the student has acquired the ability to select the appropriate statistical test for analyzing the structure of data and processing this data using the STATGRAPHIC CENTURION program. During the course, there will be partial assessments of the material in the form of practical application of the procedures learned (presentation on computers). This part of the exam is conducted in real time, at a computer station using the STATGRAPHIC CENTURION statistical package. The condition for passing the statistical part is to obtain a positive grade from at least one statistical test - performing a statistical analysis using the indicated statistical test according to the following grading scale:
Very good grade - flawless and independently performed statistical analysis with its interpretation
Good plus grade - independently performed statistical analysis and interpretation of results (minor errors allowed)
Good grade - independently performed statistical analysis and interpretation of results with little help from the instructor
Satisfactory plus grade - independently performed statistical analysis but interpretation performed with great help from the instructor
Satisfactory grade - statistical analysis and interpretation of results performed with the instructor's help
Unsatisfactory grade - The student is unable to perform a statistical test with the interpretation of results.
The final grade for the subject is the average of the design and statistics parts
The student should not miss more than two classes.
Bibliography
The lecturer provides assistance in selecting literature
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987.
2. Marek T, Analiza skupień w badaniach empirycznych – Metody SAHN. PWN, 1989.
3. Łomnicki A. Wprowadzenie do statystyki dla przyrodników, PWN, 2016
4. Blalock H., Statystyka dla socjologów, PWN, 1977.
5. Stanisz A. Biostatystyka, Wyd. UJ, 2005
6. Statgraphics, Inrtersoftland.
7. Szostek K., i inni. 2005. Metody opracowania i prezentacji wyników. [w:] Dziecko Żywieckie, K. Kaczanowski (ed.), Wyd. PiT Kraków. pp. 17-19.
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Term 2021/22_Z:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2022/23_Z:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2023/24_Z:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2024/25_Z:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Notes
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Term 2021/22_Z:
Basic knowledge of statistical methods |
Term 2022/23_Z:
Basic knowledge of statistical methods |
Term 2023/24_Z:
Basic knowledge of statistical methods |
Term 2024/25_Z:
Basic knowledge of statistical methods |
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: