logo
Item card
logo

Chosen lectures IV - Computer science applications

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 : 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 aim of studying and bibliography

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.

Bibliography required to complete the module
Bibliography used during lectures
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
Bibliography used during classes/laboratories/others
1 Specyfikacje: http://www.w3.org/ ., .
Bibliography to self-study
1 http://www.w3schools.com/., .

Basic requirements in category knowledge/skills/social competences

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

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 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).

The syllabus of the module

Sem. TK The content realized in MEK
5 TK01 Rules for designing and creating websites. W01, L01, P01 MEK01 MEK03
5 TK02 HTML, PHP - Basics of creating websites. W02, L02, P02 MEK01 MEK02
5 TK03 Cascading CSS style sheets. W02, L03, P03 MEK02 MEK04
5 TK04 Creating dynamic websites. W03, L03, P03 MEK04 MEK05
5 TK05 Content management systems. W03, L03, P03 MEK02 MEK05
5 TK06 Creating web applications using selected ones Frameworks. W04, L04, P04 MEK04 MEK05
5 TK07 Designing web applications using JavaScript, AJAX, jQuery. W04, W05, L05, P05 MEK03 MEK04 MEK05
5 TK08 Data description and representation languages (XML, JSON). W06, L06, P06 MEK03 MEK04 MEK05
5 TK09 Testing and publishing websites. W07, L07, P07 MEK04 MEK05
5 TK10 Creating websites based on databases. W08, L08, P08 MEK04 MEK05

The student's effort

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 way of giving the component module grades and the final grade

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.

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

The contents of the module are associated with the research profile: yes

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