Basic information
- Field of study
- Social Informatics
- Major
- -
- Organisational unit
- Faculty of Humanities
- Study level
- First-cycle studies
- Form of study
- Full-time studies
- Profile
- Practical
- Didactic cycle
- 2025/2026
- Course code
- HIFSS.I4.05492.25
- Lecture languages
- Polish
- Mandatoriness
- Obligatory
- Block
- Foundation Modules
- Course related to scientific research
- Yes
|
Period
Semester 3
|
Method of verification of the learning outcomes
Exam
Activities and hours
Lectures:
30
Auditorium classes: 30 |
Number of ECTS credits
5
|
Goals
| C1 | To introduce students the basics of statistics and probability. |
| C2 | To transfer knowledge of statistics and data analysis methods. |
| C3 | Sensitivity to publicly available information in the analysis of statistical and social data. |
| C4 | Making students aware of the role of a conscious approach to the theses presented. |
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
|---|---|---|---|
| Knowledge – Student knows and understands: | |||
| W1 | Student zna podstawy kombinatoryki i rachunku prawdopodobieństwa. Student wie czym jest jedno i dwuwymiarowy rozkład prawdopodobieństwa, wie jakie parametry go charakteryzują oraz zna ich interpretację. Potrafi omówić najważniejsze rozkłady ciągłe i dyskretne. | IFS1P_W01 | Test, Examination, Oral answer |
| W2 | Student zna podstawowe zasady rządzące opracowaniem i prezentacją danych statystycznych | IFS1P_W04 | Test, Examination, Oral answer |
| Skills – Student can: | |||
| U1 | Student potrafi obliczyć lub oszacować prawdopodobieństwo różnych zdarzeń. | IFS1P_U05 | Execution of exercises |
| U2 | Student potrafi wyliczyć podstawowe charakterystyki rozkładów prawdopodobieństwa na podstawie pobranej próby. Umie przypisać im jeden z rozkładów teoretycznych. | IFS1P_U01 | Test, Case study, Oral answer |
| U3 | Student potrafi opracować dane empiryczne zarówno w przypadku małe jak i dużej próby. Potrafi prawidłowo przedstawić wyniki, również w postaci graficznej. | IFS1P_U10 | Test, Case study |
| Social competences – Student is ready to: | |||
| K1 | Student rozumie znaczenie znajomości tzw. matematyki obywatelskiej dla funkcjonowania społeczeństwa. | IFS1P_K03 | Oral answer |
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 30 | |
| Auditorium classes | 30 | |
| Preparation for classes | 28 | |
| Realization of independently performed tasks | 20 | |
| Examination or final test/colloquium | 2 | |
| Contact hours | 5 | |
| Preparation of project, presentation, essay, report | 14 | |
| Student workload |
Hours
129
|
|
| Workload involving teacher |
Hours
60
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
|---|---|---|---|
| 1. |
1. Combinatoric basics |
W1, W2, U1, U2, U3, K1 | Lectures |
| 2. |
Probabilistyka: *Podstawy kombinatoryki* |
W1, W2, U1, U2, U3, K1 | Auditorium classes |
Extended information/Additional elements
Teaching methods and techniques :
Lectures, Discussion, Group work, Problem Based Learning, Practice method (doing tasks at the blackboard), Lecture
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Execution of exercises, Test, Examination, Case study, Oral answer | Final exam |
| Audit. classes | Execution of exercises, Test, Case study, Oral answer | Quizzes, active participation in classes, and entry tests |
Conditions and the manner of completing each form of classes, including the rules of making retakes, as well as the conditions for admission to the exam
Tutorials (Auditorium Classes): At the beginning of each class, a short quiz will be conducted to assess students' knowledge of the theoretical material required for that day's exercises. During the semester, two 90-minute midterm tests will also be held. Active participation during classes will additionally contribute to the final grade.
The resit assessment is conducted in the form of a test.
A passing grade in the tutorials is a prerequisite for admission to the final exam.
Method of determining the final grade
Tutorials (Auditorium Classes): At the beginning of each class, a short 5-minute electronic quiz will be conducted to assess students' knowledge of the theoretical material required for that day's exercises. A maximum of 35 points can be earned from these quizzes.
During the semester, two 90-minute midterm tests consisting of problem-solving and calculation tasks will be conducted. Each test is worth a maximum of 25 points.
Additionally, students may earn up to 15 points for active participation during classes.
The total number of points available is 100. The final grade will be determined on the basis of the percentage of points obtained, in accordance with the AGH Study Regulations. In justified exceptional circumstances (e.g., hospitalization), alternative assessment arrangements may be established on an individual basis.
Prerequisites and additional requirements
Knowledge of the issues analyzed in the course "Quantitative methods in technical sciences" from the first and second semester of the first year.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: Students attend lectures and become familiar with the course content in accordance with the course syllabus. They are encouraged to actively participate by asking questions and seeking clarification whenever necessary. Audio or video recording of lectures requires the lecturer's prior consent.
Tutorials (Auditorium Classes): Students are required to prepare for each class within the scope indicated by the instructor. Assessment of learning outcomes may be based on oral responses, written assignments, and quizzes. Performance during tutorials contributes to the final grade for this form of instruction in accordance with the AGH Study Regulations. Attendance at tutorials is mandatory.
Literature
Obligatory- Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach. - W. Krysicki, J. Bartos, W. Dyczka, K. Królikowska, M. Wasilewski
- Podstawy statystyki. Podręcznik dla humanistów - Roman Sidorski
- Rozum na manowcach - Stuart Sutherland
- Krótki kurs samoobrony intelektualnej - Norman Baillargeon
Scientific research and publications
Publications- B. Bacroix, J. Tarasiuk, K. Wierzbanowski, K. Zhu, Misorientations in rolled and recrystallized zirconium compared with random distribution. A new scheme of misorientation analysis, Journal of Applied Crystallography, 43, 134–139 (2010)
- K. Piękoś, J. Tarasiuk, K. Wierzbanowski and B. Bacroix, Use of Stored Energy Distribution in Stochastic Vertex Model of Recrystallization, Materials Science Forum, 571-572, 231-236 (2008)
- M.Jedrychowski, J.Tarasiuk, B.Bacroix, S.Wroński, An alternative method of grain boundary characterization, Materials Science Forum, 753 (2013) 93-96
- Zimnoch, M., Necki, J., Chmura, L., Jasek, A., Jelen, D., Galkowski, M., Kuc, T., Gorczyca, Z., Bartyzel, J., Rozanski, K., Quantification of carbon dioxide and methane emissions in urban areas: source apportionment based on atmospheric observations, Mitigation and Adaptation Strategies for Global Change Volume 24, Issue 6, 15 August 2019, Pages 1051-1071