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 Discrete Mathematics
The code of the module: 12332
The module status: mandatory for teaching programme with the posibility of choice
The position in the studies teaching programme: sem: 3 / W15 L15 / 4 ECTS / E
The language of the lecture: Polish
The name of the coordinator: Dorota Bród, PhD
office hours of the coordinator: podane na stronie domowej
semester 3: Adrian Michalski, PhD , office hours on the home-page
semester 3: Paweł Bednarz, PhD , office hours on the home-page
The main aim of study:
The general information about the module: An introduction to difference equations. Main methods of solving difference equations and systems of difference equations.
1 | H. Levy, F. Lessman | Równania różnicowe skończone | Warszawa, PWN. | 1966 |
2 | S. Kanas | Podstawy ekonomii matematycznej | Warszawa, PWN. | 2011 |
3 | V. Bryant | Aspekty kombinatoryki | Warszawa, WNT. | 1997 |
1 | S. Kanas | Podstawy ekonomii matematycznej | Warszawa, PWN. | 2011 |
1 | S. Elaydi | An introduction to difference equations | New York, Springer. | 2005 |
Formal requirements: The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge: Student should know operations on matrices and theory of complex numbers.
Basic requirements in category skills: The student should know basic methods of solving polynomial equations in the set R and C.
Basic requirements in category social competences: Student understands the necessity of the systematic learning.
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 properties of difference operator and antidifference operator. | lecture, laboratory, e-learning | practical test, test, exam |
K_W01++ K_K01++ |
P6S_KK P6S_WG |
02 | Student knows methods of solving of linear difference equation of first and higher order. | lecture, laboratory, e-learning | practical test, test, exam |
K_K02++ |
P6S_KK P6S_KO |
03 | Student knows the method undetermined coefficients of solving linear nonhomogeneous difference equations. | lecture, laboratory, e-learning | practical test, test, exam |
K_W02++ K_U03++ |
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 |
---|---|---|---|---|
3 | TK01 | W1-W4, L1-L4 | MEK01 | |
3 | TK02 | W5-W8, L5-L7 | MEK02 MEK03 | |
3 | TK03 | W9-W10, L8-L9 | MEK02 | |
3 | TK04 | W11-W13, L10-L11 | MEK02 MEK03 | |
3 | TK05 | W14-W15, L12-L13 | MEK01 MEK02 | |
3 | TK06 | L14-L15 | MEK01 MEK02 MEK03 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 3) | The preparation for a test:
20.00 hours/sem. |
contact hours:
15.00 hours/sem. |
complementing/reading through notes:
6.00 hours/sem. Studying the recommended bibliography: 8.00 hours/sem. |
Laboratory (sem. 3) | The preparation for a Laboratory:
20.00 hours/sem. The preparation for a test: 8.00 hours/sem. |
contact hours:
15.00 hours/sem. |
|
Advice (sem. 3) | The preparation for Advice:
4.00 hours/sem. |
The participation in Advice:
4.00 hours/sem. |
|
Exam (sem. 3) | The preparation for an Exam:
6.00 hours/sem. |
The written exam:
2.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | Passing the lecture is based on the exam. |
Laboratory | Reports and test with using the computer (using software such as CAS Maxima). |
The final grade | The final grade is the grade from the laboratory and 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 : yes
Available materials : the list of formulas