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(in Polish) Metody statystyczne w biologii I

General data

Course ID: WB-BI-42-27ćw
Erasmus code / ISCED: (unknown) / (unknown)
Course title: (unknown)
Name in Polish: Metody statystyczne w biologii I
Organizational unit: Faculty of Biology and Environmental Sciences
Course groups: (in Polish) Przedmioty dla specjalności BC dla I roku II stopnia biologii
(in Polish) Przedmioty dla specjalności BSIM dla I roku II stopnia biologii
ECTS credit allocation (and other scores): 2.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się:

biological sciences

Subject level:

elementary

Learning outcome code/codes:

BI2_W02, BI2_U01, BI2_U03, BI2_K05


Preliminary Requirements:

(in Polish) Brak.

Short description: (in Polish)

Celem kursu jest zapoznanie studentów z podstawowymi metodami analizy danych oraz wypracowanie przez studentów umiejętności przeprowadzania analiz i interpretowania ich wyników.

Full description: (in Polish)

Celem kursu jest zapoznanie studentów z podstawowymi metodami analizy danych oraz wypracowanie przez studentów umiejętności przeprowadzania analiz i interpretowania ich wyników. Uczestnicy zajęć zapoznają się z obsługą programów statystycznych, obliczaniem miar statystycznych położenia i zmienności, formułowaniem hipotez statystycznych, wykonywaniem parametrycznych i nieparametrycznych testów dla jednej i dwóch prób (niezależnych i zależnych). Ponadto, zdobędą umiejętność przeprowadzania analizy wariancji oraz testów post hoc dla wielu prób, analizy korelacji i analizy regresji liniowej.

Efekty kształcenia i opis ECTS:

Subject effects in the field of knowledge:

Objective effect 1 - the student knows and understands the legitimacy of using empirical data in the interpretation of biological phenomena and processes,

Subject effect 2 - the student knows and understands the legitimacy of using an appropriate statistical method, understands and is able to present the validity of the selection of an appropriate statistical method, is able to interpret the obtained results

Skills subject effects:

Subject effect 3 - the student is able to use his theoretical knowledge and implement it to collect, analyze and interpret empirical data, and can also use statistical programs for this purpose

Subject effects in the field of social competences:

Subject effect 4 - the student is ready to critically evaluate his knowledge and systematically update his knowledge of statistics and its practical applications

Assessment methods and assessment criteria:

2 partial tests and final test; open-ended questions (students will formulate research questions, hypotheses, and then perform subsequent tasks in the statistical program. Assessment criteria:

2 partial tests and final test; open questions (students will formulate research questions, hypotheses, then perform subsequent tasks in the statistical program and provide the obtained result along with its interpretation): the correctness and clarity of the research questions and hypotheses will be scored, correctness of the obtained result and correctness of its interpretation

2. carrying out a research project, based on the available databases, students will perform a statistical analysis of the obtained data; the type of research questions asked, the method of performing the statistical analysis (correctness of formulating hypotheses, correctness of the selection of the statistical test and justification of the choice), correctness of the interpretation of the results will be assessed

The final grade will be the weighted average of the grades obtained from the partial tests (weight 1), the final test (weight 2) and the performed statistical analysis (weight 1). A student may have 1 unexcused absence.

Scoring tests and final project:

100-94% - 5

93-88% - 4.5

87-80 - 4

79-70% - 3.5

69-60% - 3

59 and less - 2

Knowledge:

for the grade 2 (Ndst.): the student does not understand the need to use empirical data in the interpretation of biological phenomena and processes, the student does not know and does not understand the validity of the use of an appropriate statistical method in the interpretation of empirical data, cannot choose an appropriate statistical method, cannot interpret the results obtained

to grade 3 (dst): the student understands the need to use empirical data in the interpretation of biological phenomena and processes, but understands to a limited extent the legitimacy of using an appropriate statistical method in the interpretation of empirical data, the choice of an appropriate statistical method is not clear to him, he is poorly informed about the method interpreting the results

to grade 4 (db): the student understands the need to use empirical data in the interpretation of biological phenomena and processes, knows and understands the legitimacy of using an appropriate statistical method in the interpretation of empirical data, is able to choose an appropriate statistical method, is familiar with the method of interpreting the results

to grade 5 (very good): the student understands the need to use empirical data in the interpretation of biological phenomena and processes, is very well versed in statistical methods and is able to make an appropriate choice of the method depending on the analyzed data (can justify his choice), he is very good at interpretation of the obtained results

Skills

for the grade 2 (ndst.): the student is not able to use theoretical knowledge on basic statistical methods and implement it to collect, analyze and interpret empirical data, and cannot use statistical programs for this purpose

to grade 3 (dst): the student can use theoretical knowledge on basic statistical methods to a limited extent and implement it to collect, analyze and interpret empirical data, can, although not fluently, use statistical programs for this purpose

to grade 4 (db): the student is able to use theoretical knowledge on basic statistical methods and implement it to collect, analyze and interpret empirical data, can use statistical programs

to grade 5 (very good): the student very well uses the theoretical knowledge of basic statistical methods and uses it very well to collect, analyze and interpret empirical data, very well uses statistical programs for this purpose

Social competence:

For the grade 2 (ndst): the student is not able to critically assess his knowledge and systematically update the knowledge in the field of statistics and its practical applications

For the grade 3 (dst): the student has a limited ability to critically evaluate his knowledge, and it is difficult for him to update it and understand the practical applications of statistics

To grade 4 (db): the student is able to make a critical assessment of his knowledge of statistics, he is good at updating and extending it, he is good at using it in practice

To grade 5 (very good): the student is very good at critically assessing his knowledge in the field of statistics, he is very good at updating it, is very good at using it in practice

Practical placement:

not applicable

Classes in period "Summer semester 2022/23" (past)

Time span: 2023-02-01 - 2023-06-30
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Coordinators: Piotr Kiełtyk, Justyna Marchewka-Długońska
Group instructors: Piotr Kiełtyk, Justyna Marchewka-Długońska, Joanna Nieczuja-Dwojacka
Students list: (inaccessible to you)
Examination: graded credit
(in Polish) Opis nakładu pracy studenta w ECTS:

(in Polish) Udział w ćwiczeniach – 30 godz.

Przygotowanie do kolokwiów – 10 godz.

Przygotowanie projektu badawczego –20 godz.

Łącznie 60h/30=2 ECTS


Wymagania wstępne: (in Polish)

-

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-15 - 2024-06-30
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Coordinators: Piotr Kiełtyk, Justyna Marchewka-Długońska
Group instructors: Piotr Kiełtyk, Justyna Marchewka-Długońska
Students list: (inaccessible to you)
Examination: graded credit
(in Polish) Opis nakładu pracy studenta w ECTS:

(in Polish) Udział w ćwiczeniach – 30 godz.

Przygotowanie do kolokwiów – 10 godz.

Przygotowanie projektu badawczego –20 godz.

Łącznie 60h/30=2 ECTS


Type of subject:

obligatory

(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Wymagania wstępne: (in Polish)

-

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