The aim of studying and bibliography

The main aim of study: The main goal of education on the module is to present the basics of the Python programming language and the possibilities of using it, among others for data analysis and visualization.

The general information about the module: The lecture discusses Python. It presents the object-oriented character of the language. He discusses its various fields of application, including very important in the field of data analysis and visualization.

Teaching materials: MS Temams - kanał przedmiotu

Bibliography required to complete the module

Bibliography used during lectures

1	Michael Dawson	Python dla każdego. Podstawy programowania. Wydanie III	Helion.	2014
2	Alberto Boschetti, Luca Massaron	Python. Podstawy nauki o danych. Wydanie II	Helion.	2017
3	Rob Miles	Python. Zacznij programować!	Helion.	2018

Bibliography used during classes/laboratories/others

1

Mark Lutz

Python. Wprowadzenie.

Helion.

2020

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student should know the basic issues in the field of algorithms, data structures and programming. The student knows mathematics. The student satisfies the formal requirements set out in the study

Basic requirements in category knowledge: The student should be able to use mathematical knowledge to formulate and solve simple programming tasks.

Basic requirements in category skills: The student should be able to write a simple computer program.

Basic requirements in category social competences: The student should be able to work individually and in a team, present the results of the work on the group forum as well as in written form.

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 how to use the Python language to create general-purpose and specialized programs.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_W09+ K_U25+ K_K01+ K_K04+	P6S_KK P6S_KO P6S_KR P6S_UU P6S_WG
02	Knows the basic data structures and operators available in the Python language.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U13+ K_K03+	P6S_KO P6S_KR P6S_UW P6S_WG
03	Has basic knowledge and can apply simple I/O operations.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U10+ K_U13+ K_K03+	P6S_KO P6S_KR P6S_UW P6S_WG
04	Has basic knowledge and can define and call simple functions.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U06+ K_U07+ K_U10+ K_U13+ K_K03+	P6S_KO P6S_KR P6S_UW P6S_WG
05	Knows and understands the meaning of exceptions and errors in software and knows how to handle selected exceptions.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U13+ K_K03+	P6S_KO P6S_KR P6S_UW P6S_WG
06	Knows and understands the importance of object-oriented programming.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U10+ K_U13+ K_K03+	P6S_KO P6S_KR P6S_UW P6S_WG
07	Analyzes existing programs and makes modifications for new functionality.	Lecture, Project	Written test or oral exam, project presentation	K_W06+ K_W08+ K_U06+ K_U07+ K_U10+ K_U13+ K_K03+	P6S_KO P6S_KR 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	Organizational classes. Establishing the form of assessment and the scope of material. Getting acquainted with the rules of project realization and presentation.	W01, P
5	TK02	Introduction to the Python language. Areas of application of the Python language. Tools and work environment. Principle of interpreter operation.	W02, P	MEK01
5	TK03	Operators and variables in the Python language and examples of their use.	W03, P	MEK02
5	TK04	The use of loops in the Python language. Structure and meaning of lists, sorting and examples of their advanced use.	W04, P	MEK02
5	TK05	Creating functions, scopes, and using libraries.	W05, P	MEK03 MEK04
5	TK06	Use of modules, code errors, and exception handling.	W06, P	MEK05
5	TK07	The concept of object-oriented programming. Classes and methods in the Python language.	W07, P	MEK06
5	TK08	File handling and processing. Examples of specialized applications in Python language.	W08, P	MEK03 MEK07

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 5)		contact hours: 15.00 hours/sem.	complementing/reading through notes: 15.00 hours/sem.
Project/Seminar (sem. 5)		contact hours: 15.00 hours/sem..
Advice (sem. 5)		The participation in Advice: 2.00 hours/sem.
Credit (sem. 5)	The preparation for a Credit: 7.00 hours/sem.	The oral credit: 1.00 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 an oral exam.
Project/Seminar	Each student performs the design task in groups of up to 3 person. Students report the/presenting progress of design work on the design classes and consultation activities. The project is evaluated on the basis of the final presentation.
The final grade	The final grade is given as arithmetic mean of the final exam and project.

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	M. Bolanowski; C. Ćwikła; M. Ganzha; M. Hodoň; M. Paprzycki; A. Paszkiewicz	Multifunctional clustering based on the LEACH algorithm for edge-cloud continuum ecosystem	2024
2	A. Bazan; G. Budzik; J. Cebulski; M. Dębski; T. Dziubek; J. Józwik; A. Kawalec; M. Kiełbicki; Ł. Kochmański; I. Kuric; M. Oleksy; A. Paszkiewicz; P. Poliński; P. Turek	Geometrical Accuracy of Threaded Elements Manufacture by 3D Printing Process	2023
3	A. Bełzo; M. Bolanowski; A. Dzierwa; A. Paszkiewicz; M. Salach	Application of VR Technology in the Process of Training Engineers	2023
4	A. Paszkiewicz; B. Pawłowicz; M. Salach; K. Siwiec; K. Strzępek; B. Trybus	Quantitative and Qualitative Analysis of Agricultural Fields Based on Aerial Multispectral Images Using Neural Networks	2023
5	K. Bogacka; M. Bolanowski; A. Danilenka; A. Dąbrowska; M. Ganzha; M. Kobus; M. Paprzycki; A. Paszkiewicz; K. Rachwał; P. Sowiński	Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites	2023
6	M. Bolanowski; A. Kraska; A. Paszkiewicz; M. Salach; J. Więcek	Network Aspects of Remote 3D Printing in the Context of Industry as a Service IDaaS	2023
7	M. Bolanowski; A. Paszkiewicz; G. Piecuch; D. Rączka; M. Salach; T. Żabiński	Estimation of Tool Life in the Milling Process—Testing Regression Models	2023
8	M. Bolanowski; A. Paszkiewicz; G. Piecuch; M. Salach; K. Tomecki; T. Żabiński	System Architecture for Diagnostics and Supervision of Industrial Equipment and Processes in an IoE Device Environment	2023
9	M. Bolanowski; G. Budzik; N. Cierpicki; M. Ganzha; M. Paprzycki; A. Paszkiewicz; M. Salach; J. Woźniak; D. Wydrzyński	Use of virtual reality to facilitate engineer training in the aerospace industry	2023
10	M. Bolanowski; H. Mazur; A. Paszkiewicz	Use of Traffic Sampling in Anomaly Detection for High-Throughput Network Links	2023
11	M. Bolanowski; M. Ganzha; A. Gerka; M. Paprzycki; A. Paszkiewicz	Application of Genetic Algorithm to Load Balancing in Networks with a Homogeneous Traffic Flow	2023
12	M. Bolanowski; M. Ganzha; J. Kumar; C. Palau; M. Paprzycki; A. Paszkiewicz; W. Pawłowski; J. Samriya; B. Solarz-Niesłuchowski; I. Úbeda; K. Wasielewska-Michniewska	Towards 6G-Enabled Edge-Cloud Continuum Computing – Initial Assessment	2023
13	A. Bădică; C. Bădică; M. Bolanowski; S. Fidanova; M. Ganzha; S. Harizanov; M. Ivanovic; I. Lirkov; M. Paprzycki; A. Paszkiewicz; K. Tomczyk	Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems	2022
14	G. Budzik; A. Nikodem; A. Paszkiewicz; M. Salach; D. Strzałka; M. Witek; H. Wójcik	VR Education Support System—A Case Study of Digital Circuits Design	2022
15	G. Budzik; J. Cebulski; M. Dębski; T. Dziubek; J. Jóźwik; A. Kawalec; M. Kiełbicki; Ł. Kochmański; I. Kuric; M. Oleksy; A. Paszkiewicz; P. Poliński; P. Turek	Strength of threaded connections additively produced from polymeric materials	2022
16	G. Budzik; K. Bulanda; D. Filip; J. Jabłoński; A. Łazorko; M. Oleksy; A. Paszkiewicz; Ł. Przeszłowski; J. Sęp; S. Snela; P. Turek; S. Wolski	Manufacturing Polymer Model of Anatomical Structures with Increased Accuracy Using CAx and AM Systems for Planning Orthopedic Procedures	2022
17	G. Budzik; M. Oleksy; R. Oliwa; A. Paszkiewicz; Ł. Przeszłowski; B. Sobolewski; M. Wieczorowski; J. Woźniak	The Place of 3D Printing in the Manufacturing and Operational Process Based on the Industry 4.0 Structure	2022
18	G. Budzik; T. Dziubek; P. Fudali; A. Paszkiewicz; Ł. Przeszłowski; J. Woźniak	Analysis of the quality of products manufactured with the application of additive manufacturing technologies with the possibility of applying the Industry 4.0 conception	2022
19	M. Bolanowski; C. Ćwikła; M. Ganzha; C. Palau; M. Paprzycki; A. Paszkiewicz; I. Úbeda	Network Load Balancing for Edge-Cloud Continuum Ecosystems	2022
20	M. Bolanowski; G. Budzik; M. Ganzha; F. Konstantinidis; C. Palau; M. Paprzycki; A. Paszkiewicz; M. Salach; H. Wójcik	Implementation of UI Methods and UX in VR in Case of 3D Printer Tutorial	2022
21	M. Bolanowski; M. Ganzha; I. Lacalle; C. Palau; M. Paprzycki; A. Paszkiewicz; P. Sowiński; K. Żak	Eficiency of REST and gRPC Realizing Communication Tasks in Microservice-Based Ecosystems	2022
22	M. Bolanowski; M. Ganzha; M. Kumar; J. Kumar Samriya; M. Paprzycki; A. Paszkiewicz	An Energy Aware Clustering Scheme for 5G-Enabled Edge Computing Based IoMT Framework	2022
23	M. Bolanowski; P. Krogulski	Rapid remote access system for heterogeneous laboratory resources	2022
24	A. Paszkiewicz	Modeling and Analysis of Anomalies in the Network Infrastructure Based on the Potts Model	2021
25	A. Paszkiewicz; B. Pawłowicz; M. Salach; B. Trybus	Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication	2021
26	G. Budzik; K. Bulanda; M. Magniszewski; M. Oleksy; R. Oliwa; A. Paszkiewicz; Ł. Przeszłowski	Torsional strength tests of spline connections made of polymer materials (Rapid communication)	2021
27	G. Budzik; M. Dębski; T. Dziubek; A. Paszkiewicz; Ł. Przeszłowski; J. Woźniak	Methodology for the Quality Control Process of Additive Manufacturing Products Made of Polymer Materials	2021
28	G. Budzik; M. Kiełbicki; A. Paszkiewicz; P. Poliński; M. Przytuła	Analiza rozwiązań zdalnych aplikacji sterowania i monitoringu procesu druku 3D	2021
29	J. Dajda; W. Dzwinel; B. Hnatkowska; M. Idzik; P. Jabłecki; W. Kania; E. Majerz; M. Malawski; A. Pasternak; A. Paszkiewicz; W. Pawłowski; M. Sikora; M. Smołka; J. Sroka; F. Ślazyk; J. Świebocka-Więk; W. Thomas	Current Trends in Software Engineering Bachelor Theses	2021
30	M. Bolanowski; A. Kraska; A. Paszkiewicz	Integration of the elements of a distributed IT system with a computer network core using island topology	2021
31	M. Bolanowski; A. Paszkiewicz	Sustainable development in the field of IoT-focused network engineer education based on simulation tools	2021
32	M. Bolanowski; A. Paszkiewicz; B. Rumak	Coarse Traffic Classification for High-Bandwidth Connections in a Computer Network Using Deep Learning Techniques	2021
33	M. Bolanowski; G. Budzik; M. Kiełbicki; Ł. Kochmański; A. Paszkiewicz; P. Poliński; M. Przytuła; J. Woźniak	Incremental processing of polymer materials using the INDUSTRY 4.0 network structure	2021
34	M. Bolanowski; G. Budzik; P. Dymora; P. Kubiak; A. Paszkiewicz; M. Salach	Methodology of Implementing Virtual Reality in Education for Industry 4.0	2021
35	A. Paszkiewicz; J. Węgrzyn	Responsiveness of the Sensor Network to Alarm Events Based on the Potts Model	2020
36	G. Budzik; J. Jóźwik; M. Oleksy; A. Paszkiewicz; P. Turek; J. Woźniak; D. Żelechowski	Analysis of Wear of the Polymer Mold in the Production of Wax Casting Models of Aircraft Engine Blades	2020
37	G. Budzik; J. Jóźwik; Ł. Kochmański; M. Oleksy; A. Paszkiewicz; Ł. Przeszłowski; J. Sęp; P. Turek; D. Żelechowski	An Analysis of the Casting Polymer Mold Wear Manufactured Using PolyJet Method Based on the Measurement of the Surface Topography	2020
38	K. Iwaniec; A. Paszkiewicz	Evolutionary approach based on the ising model to analyze changes in the structure of the IT networks	2020
39	M. Bolanowski; A. Paszkiewicz	Software for Integration of Manufacturing Resources in the Hybrid Cloud Model for Industry 4.0	2020
40	M. Bolanowski; G. Budzik; M. Oleksy; A. Paszkiewicz; T. Pisz; Ł. Przeszłowski; P. Sowa	Remote Design and Manufacture through the Example of a Ventilator	2020
41	M. Bolanowski; G. Budzik; M. Oleksy; A. Paszkiewicz; Ł. Przeszłowski	Process of Creating an Integrated Design and Manufacturing Environment as Part of the Structure of Industry 4.0	2020
42	P. Dymora; A. Paszkiewicz	Performance Analysis of Selected Programming Languages in the Context of Supporting Decision-Making Processes for Industry 4.0	2020
43	A. Paszkiewicz; R. Pękala; J. Węgrzyn	Możliwości zastosowania oprogramowania Scilab do projektowania i modelowania sieci komputerowych	2019
44	K. Iwaniec; A. Paszkiewicz	Use of ising model for analysis of changes in the structure of the IT network	2019
45	M. Bolanowski; A. Paszkiewicz; P. Zapała	Phase Transitions in Wireless MESH Networks and Their Application in Early Detection of Network Coherence Loss	2019
46	M. Bolanowski; G. Budzik; D. Mazur; M. Oleksy; A. Paszkiewicz	Analysis of possible SDN use in the rapid prototyping process as part of the Industry 4.0	2019
47	M. Bolanowski; G. Budzik; M. Oleksy; A. Paszkiewicz	Przemysł 4.0 cz. II. Uwarunkowania w obszarze technologii wytwarzania i architektury systemu informatycznego w przetwórstwie tworzyw polimerowych	2019
48	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