Inference in uncertainty
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: 12566
The module status: mandatory for teaching programme
The position in the studies teaching programme: sem: 6 / W15 P15 / 2 ECTS / Z
The language of the lecture: Polish
The name of the coordinator: Mariusz Startek, PhD
office hours of the coordinator: Podane na stronie domowej.
The aim of studying and bibliography
The main aim of study:
The general information about the module:
Bibliography required to complete the module
| 1 | S.D. Silvey | Wnioskowanie statystyczne | PWN, Warszawa . | 1978 |
| 2 | W. Krysicki [i in.] | Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach. Cz. II. Statystyka matematyczna | PWN, Warszawa. | 2010 |
| 3 | P. Biecek. | Przewodnik po pakiecie R | GiS, Wrocław . | 2017 |
| 4 | J. K. Kruschke | Doing Bayesian Data Analysis | Elsevier, Amsterdam-London-New York. | 2015 |
| 1 | S.D. Silvey | Wnioskowanie statystyczne | PWN, Warszawa. | 1978 |
| 2 | P. Biacek | Przewodnik po pakiecie R | GiS, Wrocław. | 2017 |
Basic requirements in category knowledge/skills/social competences
Formal requirements: The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge:
Basic requirements in category skills:
Basic requirements in category social competences:
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 |
|---|---|---|---|---|---|
| 01 |
K_W01+ K_U06+ K_K05+ |
P6S_KO P6S_UW P6S_WG |
|||
| 02 |
K_W04+ K_U06+ |
P6S_UW P6S_WG |
|||
| 03 |
K_W04+ K_U05+ |
P6S_UW P6S_WG |
Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).
The syllabus of the module
| Sem. | TK | The content | realized in | MEK |
|---|---|---|---|---|
| 6 | TK01 | - |
W1-3 | MEK01 MEK02 |
| 6 | TK02 | - |
W4-8 | MEK01 MEK03 |
| 6 | TK03 | - |
W9-15 | MEK02 MEK03 |
| 6 | TK04 | - |
P1-11 | MEK03 |
| 6 | TK05 | - |
P12-15 | MEK01 MEK02 MEK03 |
The student's effort
| The type of classes | The work before classes | The participation in classes | The work after classes |
|---|---|---|---|
| Lecture (sem. 6) | contact hours:
15.00 hours/sem. |
complementing/reading through notes:
5.00 hours/sem. |
|
| Project/Seminar (sem. 6) | contact hours:
15.00 hours/sem.. |
Doing the project/report/ Keeping records:
10.00 hours/sem. |
|
| Advice (sem. 6) | The participation in Advice:
1.00 hours/sem. |
||
| Credit (sem. 6) | The preparation for a Credit:
5.00 hours/sem. |
The written credit:
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 | |
| Project/Seminar | |
| 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 : no