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 : Department of Complex Systems
The code of the module: 12551
The module status: mandatory for teaching programme with the posibility of choice
The position in the studies teaching programme: sem: 5 / W15 L15 P15 / 4 ECTS / Z
The language of the lecture: Polish
The name of the coordinator: Mirosław Mazurek, PhD, Eng.
The main aim of study: The main goal of education on the module is the presentation of the principles of creating websites and web applications, using selected scripting languages.
The general information about the module: The module is devoted to the presentation of basic technologies used for the purposes of the web. Technologies are discussed that allow the construction of a web site, web application and web service. The aim of education is realized during lectures and laboratory exercises.
1 | Peter Lubbers, Brian Albers, Frank Salim | HTML5. Zaawansowane programowanie | Wydawnictwo Helion, Gliwice. | 2013 |
2 | McFarland, David Sawyer | JavaScript i jQuery | Wydawnictwo Helion, Gliwice. | 2013 |
3 | Luke Welling, Laura Thomson | PHP i MySQL. Tworzenie stron WWW. Vademecum profesjonalisty | Wydawnictwo Helion. | 2009 |
4 | Eric A. Meyer: | CSS. Kaskadowe arkusze stylów. Przewodnik encyklopedyczny | Wydawnictwo Helion, Gliwice. | 2008 |
1 | Specyfikacje: http://www.w3.org/ ., | . |
1 | http://www.w3schools.com/., | . |
Formal requirements: The student should know the basic issues in the field of coding and programming. The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge: The student should have knowledge of the basics of programming and coding in HTML
Basic requirements in category skills: The student is able to create a project in a chosen programming environment
Basic requirements in category social competences: The student should be able to work individually as well as in a team of programmers
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 | Knows the basic principles of creating websites. | lecture, laboratory, project | pass part written, credit part oral, written report |
K_W06+ K_W07+ K_U06+ K_U22+ |
P6S_UK P6S_UW P6S_WG |
02 | He knows the basic scripting languages used to implement web applications. | lecture, laboratory, project | pass part written, credit part oral, written report |
K_W06+ |
P6S_WG |
03 | Is able to design and implement a website using any scripting language. | lecture, laboratory, project | pass part written, credit part oral, written report |
K_W06+ K_W08+ K_U13+ K_K01+ |
P6S_KK P6S_UW P6S_WG |
04 | He can use languages, Internet technologies such as CSS, JavaScript, jQuery, PHP, etc. | lecture, laboratory, project | pass part written, credit part oral, written report |
K_W06+ K_W07+ K_U06+ K_U10+ K_U13+ |
P6S_UW P6S_WG |
05 | Has knowledge of selected web application architectures. | lecture, laboratory, project | pass part written, credit part oral, written report |
K_W07+ K_W08+ K_U18+ |
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 |
---|---|---|---|---|
5 | TK01 | W01, L01, P01 | MEK01 MEK03 | |
5 | TK02 | W02, L02, P02 | MEK01 MEK02 | |
5 | TK03 | W02, L03, P03 | MEK02 MEK04 | |
5 | TK04 | W03, L03, P03 | MEK04 MEK05 | |
5 | TK05 | W03, L03, P03 | MEK02 MEK05 | |
5 | TK06 | W04, L04, P04 | MEK04 MEK05 | |
5 | TK07 | W04, W05, L05, P05 | MEK03 MEK04 MEK05 | |
5 | TK08 | W06, L06, P06 | MEK03 MEK04 MEK05 | |
5 | TK09 | W07, L07, P07 | MEK04 MEK05 | |
5 | TK10 | W08, L08, P08 | MEK04 MEK05 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 5) | The preparation for a test:
15.00 hours/sem. |
contact hours:
15.00 hours/sem. |
|
Laboratory (sem. 5) | The preparation for a Laboratory:
10.00 hours/sem. |
contact hours:
15.00 hours/sem. |
Finishing/Making the report:
5.00 hours/sem. |
Project/Seminar (sem. 5) | contact hours:
15.00 hours/sem.. |
Doing the project/report/ Keeping records:
15.00 hours/sem. |
|
Advice (sem. 5) | The participation in Advice:
3.00 hours/sem. |
||
Credit (sem. 5) | The preparation for a Credit:
5.00 hours/sem. |
The written credit:
2.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | The lecture ends with a credit. The condition of admission to pass the lecture is obtaining a positive final grade from the laboratory and the project. |
Laboratory | The laboratory will implement topics in accordance with the CR. The condition of getting credit will be passing a written test. |
Project/Seminar | The implementation will consist of designing and publishing on the web a website that meets the requirements given in class. |
The final grade | The final grade is the arithmetic average of the grades for lectures and laboratory and project grades. |
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
1 | P. Dymora; M. Jucha; M. Mazurek | Examining the possibility of short-term prediction of traffic volume in smart city control systems with the use of regression models | 2024 |
2 | P. Dymora; G. Lichacz; M. Mazurek | Performance Analysis of a Real-Time Data Warehouse System Implementation Based on Open-Source Technologies | 2023 |
3 | P. Dymora; M. Jucha; M. Mazurek | Regression Models Evaluation of Short-Term Traffic Flow Prediction | 2023 |
4 | P. Dymora; M. Mazurek; M. Nycz | Comparison of Angular, React, and Vue Technologies in the Process of Creating Web Applications on the User Interface Side | 2023 |
5 | P. Dymora; M. Mazurek; M. Nycz | Modeling and Statistical Analysis of Data Breach Problems in Python | 2023 |
6 | W. Koczkodaj; A. Kowalczyk; M. Mazurek; W. Pedrycz; G. Redlarski; E. Rogalska; D. Strzałka; A. Szymanska; A. Wilinski; O. Xue | Peer Assessment as a Method for Measuring Harmful Internet Use | 2023 |
7 | K. Doerffer; P. Doerffer; P. Dymora; P. Flaszynski; S. Grigg; M. Jurek; D. Kordos; B. Kowal; M. Mazurek; T. Rogalski; R. Śliwa; R. Unnthorsson | The Latest Advances in Wireless Communication in Aviation, Wind Turbines and Bridges | 2022 |
8 | P. Dymora; K. Łyczko; M. Mazurek | The effectiveness analysis of selected IT tools for predictions of the COVID-19 pandemic | 2022 |
9 | S. Bomba; P. Dymora; M. Mazurek | A Comparative Analysis of Selected Predictive Algorithms in Control of Machine Processes | 2022 |
10 | W. Koczkodaj; M. Mazurek; W. Pedrycz; E. Rogalska; R. Roth; D. Strzałka; A. Szymanska; A. Wolny-Dominiak; M. Woodbury-Smith; O. Xue; R. Zbyrowski | Combating harmful Internet use with peer assessment and differential evolution | 2022 |
11 | P. Dymora; B. Kowal; M. Mazurek; R. Śliwa | The effects of Virtual Reality technology application in the aircraft pilot training process | 2021 |
12 | P. Dymora; M. Mazurek | Comparison of Selected Algorithms of Traffic Modelling and Prediction in Smart City - Rzeszów | 2021 |
13 | P. Dymora; M. Mazurek | Influence of Model and Traffic Pattern on Determining the Self-Similarity in IP Networks | 2021 |
14 | P. Dymora; M. Mazurek | Personal Data as a Critical Element of Sustainable Systems—Comparison of Selected Data Anonymization Techniques | 2021 |
15 | P. Dymora; M. Mazurek; B. Sudek | Comparative Analysis of Selected Open-Source Solutions for Traffic Balancing in Server Infrastructures Providing WWW Service | 2021 |
16 | P. Dymora; M. Mazurek; K. Smalara | Modeling and Fault Tolerance Analysis of ZigBee Protocol in IoT Networks | 2021 |
17 | P. Dymora; W. Gołda; M. Mazurek | Analysis of the Impact of Gamification on Learning Efficiency on the Example of a Mobile Application | 2021 |
18 | G. Dunkan; P. Dymora; W. Koczkodaj; B. Kowal; M. Mazurek; D. Strzałka | Open Government issues and opportunity: a case study based on a medium-sized city in Poland | 2020 |
19 | P. Dymora; B. Kowal; M. Mazurek | Analysis of Selected Characteristics of Open Data Inception Portals in the Context of Smart Cities IoT Data Accessibility | 2020 |
20 | P. Dymora; B. Kowal; M. Mazurek | Pozyskiwanie dowodów ingerencji w system z wykorzystaniem programu Snort jako darmowego systemu IDS | 2020 |
21 | P. Dymora; D. Łannik; M. Mazurek | Analiza wpływu wybranych implementacji algorytmu drzewa decyzyjnego na wydajność systemu komputerowego | 2020 |
22 | P. Dymora; M. Mazurek | An innovative approach to anomaly detection in communication networks using multifractal analysis | 2020 |
23 | P. Dymora; M. Mazurek | Opinia o innowacyjności pt. Usługi internetowe nowej generacji oparte o standard XGS-PON | 2020 |
24 | P. Dymora; M. Mazurek | Opinia o innowacyjności pt. Wdrożenie innowacji w zakresie badań sprawności i wydolności fizycznej dla sportowców celem zwiększenia konkurencyjności firmy LC Lab Sp. z o.o. | 2020 |
25 | P. Dymora; M. Mazurek | Performance assessment of selected techniques and methods detecting duplicates in data warehouses | 2020 |
26 | P. Dymora; M. Mazurek | Wdrożenie nowej usługi zdalnej rehabilitacji poprzez implementację innowacyjnej technologii „Doctor Kinetic” celem zwiększenia konkurencyjności firmy LC Lab Sp. z o.o.” | 2020 |
27 | W. Koczkodaj; F. Liu; V. Marek; J. Mazurek; M. Mazurek; L. Mikhailov; C. Ozel; W. Pedrycz; A. Przelaskowski; A. Schumann; R. Smarzewski; D. Strzałka; J. Szybowski; Y. Yayli | On the use of group theory to generalize elements of pairwise comparisons matrix: A cautionary note | 2020 |
28 | M. Bolanowski; P. Dymora; B. Kowal; M. Mazurek; M. Salach | Raport dotyczący: analizy uwarunkowań technicznych wdrażania technologii VR w dydaktyce na kierunkach automatyka i robotyka oraz informatyka prowadzonych przez WEiI z potencjalnymi zastosowaniami dla Przemysłu 4.0 | 2019 |
29 | P. Dymora; B. Kowal; M. Mazurek | Dydaktyczne aspekty projektowania aplikacji w środowisku Unity 3D | 2019 |
30 | P. Dymora; B. Kowal; M. Mazurek | Multifractal properties of network communication traffic | 2019 |
31 | P. Dymora; B. Kowal; M. Mazurek | Ocena skutków wykorzystania technologii wirtualnej i rozszerzonej rzeczywistości w pracesie edukacyjnym | 2019 |
32 | P. Dymora; B. Kowal; M. Mazurek | Opinia o innowacyjności usługi Innowacyjne Mobilne Centrum Digitalizacji | 2019 |
33 | P. Dymora; B. Kowal; M. Mazurek | The effectiveness of the use of R-language in anonymizing open data | 2019 |
34 | P. Dymora; B. Kowal; M. Mazurek; M. Totoń | Opinia o innowacyjności dla projektu MARBER | 2019 |
35 | P. Dymora; D. Łannik; M. Mazurek | Badanie efektywności tworzenia wielowymiarowych zestawów danych w wybranych środowiskach analitycznych | 2019 |
36 | P. Dymora; M. Koryl; M. Mazurek | Process discovery in business process management optimization | 2019 |
37 | P. Dymora; M. Mazurek | Anomaly detection in IoT communication network based on spectral analysis and Hurst exponent | 2019 |
38 | P. Dymora; W. Koczkodaj; M. Mazurek; D. Strzałka | Consistency-Driven Pairwise Comparisons Approach to Software Product Management and Quality Measurement | 2019 |
39 | W. Koczkodaj; J. Masiak; M. Mazurek; D. Strzałka; P. Zabrodskii | Massive health record breaches evidence by the office for civil rights data | 2019 |
40 | W. Koczkodaj; M. Mazurek; D. Strzałka; A. Wolny-Dolniak; M. Woodbury-Smith | Electronic health record breaches as social indicators | 2019 |