Probability and statistics WM-FI-S1-E3-RPiS
The purpose of the course is to present the basic concepts, theorems and methods of probability theory and statistics and their applications.
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
Term 2021/22_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2024/25_Z: (in Polish) E-Learning | Term 2023/24_Z: (in Polish) E-Learning | Term 2022/23_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2020/21_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy |
(in Polish) Grupa przedmiotów ogólnouczenianych
(in Polish) Opis nakładu pracy studenta w ECTS
Term 2023/24_Z: Lecture
Estimated student workload
- participation in classes 30 h
- participation in the exam 3 hours
- consultations with the teacher 3 hours
- preparation for classes 5 h
- preparation for the exam 35 hours
Total 76 hours, which corresponds to 3 ECTS
Exercises
Estimated student workload
- participation in classes 30 h
- consultations with the teacher 2 hours
- homework 25 hours
- preparation for verification 19 h
Total 76 hours, which corresponds to 3 ECTS
| Term 2024/25_Z: Lecture
Estimated student workload
- participation in classes 30 h
- participation in the exam 3 hours
- consultations with the teacher 3 hours
- preparation for classes 5 h
- preparation for the exam 35 hours
Total 76 hours, which corresponds to 3 ECTS
Exercises
Estimated student workload
- participation in classes 30 h
- consultations with the teacher 2 hours
- homework 25 hours
- preparation for verification 19 h
Total 76 hours, which corresponds to 3 ECTS
| Term 2022/23_Z: Lecture
Estimated student workload
- participation in classes 30 h
- participation in the exam 3 hours
- consultations with the teacher 3 hours
- preparation for classes 5 h
- preparation for the exam 35 hours
Total 76 hours, which corresponds to 3 ECTS
Exercises
Estimated student workload
- participation in classes 30 h
- consultations with the teacher 2 hours
- homework 35 hours
- preparation for verification 9 h
Total 76 hours, which corresponds to 3 ECTS
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Subject level
Learning outcome code/codes
Type of subject
Preliminary Requirements
Course coordinators
Term 2023/24_Z: | Term 2019/20_Z: | Term 2021/22_Z: | Term 2020/21_Z: | Term 2022/23_Z: | Term 2024/25_Z: |
Learning outcomes
Lecture
Student
W1 - explains selected statistical models and methods of quantitative description of simple probabilistic phenomena (FIZ1_W14).
W2 - formulates and explains the basic definitions and theorems of probability theory and statistics (FIZ1_W01).
Exercises
Student
U1 - solves typical probabilistic and statistical problems (FIZ2_U10).
U2 - models random phenomena (FIZ2_U15).
Assessment criteria
For all
learning outcomes , the following assessment criteria are adopted for all forms of verification:
grade 5: fully achieved (no obvious shortcomings),
grade 4.5: achieved almost fully and criteria for awarding a higher grade are not met,
grade 4: largely achieved and the criteria for a higher grade are not met,
grade 3.5: largely achieved
with a clear majority of positives and the criteria for granting a higher grade are
not met,
grade 3: achieved for most of the cases covered by the verification and criteria for a higher grade are not met,
grade 2: not achieved for most of the cases covered by the verification.
14
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: