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: 12296
The module status: mandatory for teaching programme
The position in the studies teaching programme: sem: 2 / W15 C15 L15 / 3 ECTS / Z
The language of the lecture: Polish
The name of the coordinator: Andrzej Włoch, DSc, PhD
semester 2: Adrian Michalski, PhD
semester 2: Paweł Bednarz, PhD
The main aim of study:
The general information about the module:
1 | A. Włoch, I. Włoch | Matematyka dyskretna- podstawowe metody i algorytmy teorii grafów | Oficyna Wydawnicza Politechniki Rzeszowskiej, Rzeszów. | 2004. |
2 | K. Ross, Ch. Wright | Matematyka dyskretna | PWN, Warszawa. | 1996. |
3 | P.N. de Souza, R.J. Fateman, J. Moses, C. Yapp | The Maxima Book | http://maxima.sourceforge.net. |
Formal requirements: The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge: Basics of linear algebra and mathematical analysis
Basic requirements in category skills:
Basic requirements in category social competences:
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 | Student knows basic combinatorial objects, methods and tools of counting and generating. | lecture, laboratory, exercises | written work |
K_W01+ K_U02+ K_U03+ K_K02+ |
P6S_KK P6S_KO P6S_UW P6S_WG |
02 | Student is able to calculate the quantity of combinatorial objects using induction, permanent, solving recurrence relations. | lecture, exercises, laboratory | written work |
K_W01+ K_W02+ K_U02+ K_U03+ K_K02+ |
P6S_KK P6S_KO P6S_UW P6S_WG |
03 | Student is able to apply CAS MAXIMA to generate combinatorial objects and count quantity of such objects. | laboratory | written work |
K_W02+ K_U02+ K_U03+ K_K01+ K_K02+ |
P6S_KK 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 |
---|---|---|---|---|
2 | TK01 | W1-W2, C1-C2 | MEK01 MEK02 | |
2 | TK02 | W3-W8, C3-C8, L1-L5 | MEK01 MEK02 MEK03 | |
2 | TK03 | W9-W10, C9-C10, L6-L8 | MEK01 MEK02 MEK03 | |
2 | TK04 | W11-W12, C11-C12, L9-L11 | MEK01 MEK02 MEK03 | |
2 | TK05 | W13-W15, C13-C15, L12-L15 | MEK01 MEK02 MEK03 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 2) | The preparation for a test:
5.00 hours/sem. |
contact hours:
15.00 hours/sem. |
|
Class (sem. 2) | The preparation for a Class:
5.00 hours/sem. The preparation for a test: 2.00 hours/sem. |
contact hours:
15.00 hours/sem. |
|
Laboratory (sem. 2) | The preparation for a Laboratory:
10.00 hours/sem. The preparation for a test: 3.00 hours/sem. |
contact hours:
15.00 hours/sem. |
Finishing/Making the report:
3.00 hours/sem. |
Advice (sem. 2) | The participation in Advice:
2.00 hours/sem. |
||
Credit (sem. 2) | The preparation for a Credit:
3.00 hours/sem. |
The written credit:
2.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | |
Class | |
Laboratory | |
The final grade |
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