Item card
Statistical data analysis
Some basic information about the module
Cycle of education:
2019/2020
The name of the faculty organization unit:
The faculty Mathematics and Applied Physics
The name of the field of study:
Engineering and data analysis
The area of study:
sciences
The profile of studing:
The level of study:
first degree study
Type of study:
full time
discipline specialities :
The degree after graduating from university:
engineer
The name of the module department :
Departament of Mathematical Modelling
The code of the module:
12327
The module status:
mandatory for teaching programme
The position in the studies teaching programme:
sem: 4 / W30 C15 L15 P15 / 5 ECTS / E
The language of the lecture:
Polish
The name of the coordinator 1:
Liliana Rybarska-Rusinek, DSc, PhD
office hours of the coordinator:
podane w harmonogramie pracy jednostki.
The name of the coordinator 2:
Mariusz Startek, PhD
The aim of studying and bibliography
The main aim of study:
The aim of the module is to present the basics of data analysis: descriptive statistics, elements of probability calculus and mathematical statistics, and familiarizing students with the methodology of elaborating the results of statistical surveys and statistical inference.
The general information about the module:
The module is implemented in the fourth semester. It consists of 30 hours of lectures and 15 hours of tutorials, 15 hours of laboratory and 15 hours of project.
Bibliography required to complete the module
| 1 | J. Koronacki, J. Mielniczuk | Statystyka dla studentów kierunków technicznych i przyrodniczych | WNT, Warszawa. | 2010 |
| 2 | M. Sobczyk | Statystyka | PWN, Warszawa. | 2005 |
| 3 | M. Startek | Podstawy rachunku prawdopodobieństwa z elementami statystyki matematycznej | Oficyna Wydawnicz PRz. | 2005 |
| 1 | 1. J. Koronacki, J. Mielniczuk | Statystyka dla studentów kierunków technicznych i przyrodniczych | WNT, Warszawa. | 2010 |
| 2 | M. Startek | Podstawy rachunku prawdopodobieństwa z elementami statystyki matematycznej | Oficyna Wydawnicza PRz. | 2005 |
| 1 | A. i E. Plucińscy | Probabilistyka | WNT, Warszawa. | 2003 |
Basic requirements in category knowledge/skills/social competences
Formal requirements:
Passing the module Probability Calculus. The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge:
Knowledge of the basics of probability and mathematical analysis.
Basic requirements in category skills:
Knowledge of the R environment at the basic level.
Basic requirements in category social competences:
Willingness to take objectively justified mathematical operations in order to solve the task .
Module outcomes
| MEK | The student who completed the module | Types of classes / teaching methods leading to achieving a given outcome of teaching | Methods of verifying every mentioned outcome of teaching | Relationships with KEK | Relationships with PRK |
|---|---|---|---|---|---|
| MEK01 | He knows and can use statistical characteristics of the population and their sample equivalents. | lecture, exercises | written test, written exam |
K-W01+ K-U02+ |
P6S-UW P6S-WG |
| MEK02 | knows and employs distributions used in statistical practice. | lecture, exercises | written test, written exam |
K-W01+ K-U02+ |
P6S-UW P6S-WG |
| MEK03 | can make simple statistical inferences. | lecture, exercises, project | .written test, written exam, project presentation |
K-W01+ K-U02+ K-U05+ K-U18+ K-K01+ K-K05+ |
P6S-KK P6S-KO P6S-UW P6S-WG |
| MEK04 | can make simple statistical inferences using statistical packages in R. | lecture, laboratory, project | observation,, project presentation |
K-W02+ K-U03+ K-U07+ K-K01+ K-K05+ |
P6S-KK P6S-KO P6S-UW P6S-WG |
The syllabus of the module
| Sem. | TK | The content | realized in | MEK |
|---|---|---|---|---|
| 4 | TK01 | W1-W8, C1-C4, L1-L4 | MEK01 MEK04 | |
| 4 | TK02 | W9-W16, C5-C8, L5-L8 | MEK02 MEK04 | |
| 4 | TK03 | W17-W22, C9-C10, L9-L10, P1-P5 | MEK01 MEK03 MEK04 | |
| 4 | TK04 | W23-W30, C11-C15, L11-L15, P6-P15 | MEK03 MEK04 |
The student's effort
| The type of classes | The work before classes | The participation in classes | The work after classes |
|---|---|---|---|
| Lecture (sem. 4) | The preparation for a test:
5.00 hours/sem. |
contact hours:
30.00 hours/sem. |
complementing/reading through notes:
4.00 hours/sem. Studying the recommended bibliography: 4.00 hours/sem. |
| Class (sem. 4) | The preparation for a Class:
5.00 hours/sem. The preparation for a test: 5.00 hours/sem. |
contact hours:
15.00 hours/sem. |
Finishing/Studying tasks:
2.00 hours/sem. |
| Laboratory (sem. 4) | The preparation for a Laboratory:
8.00 hours/sem. |
contact hours:
15.00 hours/sem. |
Finishing/Making the report:
10.00 hours/sem. |
| Project/Seminar (sem. 4) | The preparation for projects/seminars:
10.00 hours/sem. |
contact hours:
15.00 hours/sem.. |
Doing the project/report/ Keeping records:
10.00 hours/sem. The preparation for the presentation: 2.00 hours/sem. |
| Advice (sem. 4) | The preparation for Advice:
1.00 hours/sem. |
The participation in Advice:
2.00 hours/sem. |
|
| Exam (sem. 4) | The preparation for an Exam:
5.00 hours/sem. |
The written exam:
2.00 hours/sem. |
The way of giving the component module grades and the final grade
| The type of classes | The way of giving the final grade |
|---|---|
| Lecture | Written test. Solve the obvious exercisses gives the grade 3.0. Solve extra exercisses gives better note. |
| Class | Written test. The obvious exercises and the extra exercises. The obvious exercises must be solved. Only the obvious exercises - 3.0. |
| Laboratory | credit by observation of laboratory tasks |
| Project/Seminar | presentation and passing the prepared project |
| The final grade |
Sample problems
Required during the exam/when receiving the credit
(-)
Realized during classes/laboratories/projects
(-)
Others
(-)
Can a student use any teaching aids during the exam/when receiving the credit : yes
Available materials : Simple statistical tables.