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: 12529
The module status: mandatory for teaching programme
The position in the studies teaching programme: sem: 6 / W30 C30 L15 / 4 ECTS / E
The language of the lecture: Polish
The name of the coordinator: Mariusz Startek, PhD
office hours of the coordinator: Podane na stronie domowej.
semester 6: Dawid Jaworski, PhD, Eng.
The main aim of study: The aim of the module is to present the basics of stochastic processes.
The general information about the module: Typical stochastic processes and computer simulations of their.
1 | A. Plucińska, E. Pluciński | Rachunek prawdopodobieństwa. Statystyka matematyczna. Procesy stochastyczne. | WNT, Warszawa. | 2009 |
2 | J.F.C. Kingman | Procesy Poissona | PWN, Warszawa. | 2002 |
3 | M. Matalytski, O. Tikhonenko | Procesy stochastyczne | EXIT, Warszawa . | 2011 |
1 | P. Biacek | Przewodnik po pakiecie R | Oficyna Wydawnicza GiS, Wrocław. | 2017 |
Formal requirements: The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge: Knowing the method of probability.
Basic requirements in category skills: Knowledge of the method of probability, analysis and 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 .
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 | He knows and can use the conditional expectation of random variable. | class, exercises | exam, test |
K_W01++ K_U06+++ |
P6S_UW P6S_WG |
02 | He can describe some stochastic process.. | class, exercises | exam, test |
K_U06+++ |
P6S_UW |
03 | He can calcul the covarince of stochastic prcess. | class, exercisses | exam, test |
K_W01++ |
P6S_WG |
04 | He can to form and analyse the model of random phenomenon. | Laboratory | Numerical analysys of simulation in R . |
K_W02++ K_W04+++ K_U09+++ K_K05++ |
P6S_KO 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).
Sem. | TK | The content | realized in | MEK |
---|---|---|---|---|
6 | TK01 | W1-W12, C1-C12 | MEK01 | |
6 | TK02 | W13-W30, C13-C30 | MEK02 MEK03 | |
6 | TK03 | L1-L5 | MEK04 | |
6 | TK04 | L6-L15 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 6) | The preparation for a test:
5.00 hours/sem. |
contact hours:
30.00 hours/sem. |
Studying the recommended bibliography:
8.00 hours/sem. |
Class (sem. 6) | The preparation for a test:
10.00 hours/sem. |
contact hours:
30.00 hours/sem. |
|
Laboratory (sem. 6) | contact hours:
15.00 hours/sem. |
||
Advice (sem. 6) | The participation in Advice:
1.00 hours/sem. |
||
Exam (sem. 6) | The preparation for an Exam:
10.00 hours/sem. |
The written exam:
2.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | Written exam. The obvious exercises and the extra exercises. The obvious exercises must be solved. Only the obvious exercises - 3.0. Exam only after the credit of classes and laboratory. |
Class | Written test. The obvious exercises must be solved. Only the obvious exercises - 3.0. |
Laboratory | On the base of simulation constructed in R. |
The final grade | After the credit of all types of classes the final grade is the average of grade of classes, laboratory and grade of exam. |
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