PYTHON and MATLAB Programming
Course description sheet
Basic information
- Field of study
- Geospatial Computer Science
- Major
- Remote Sensing and GIS
- Organisational unit
- Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
- Study level
- Second-cycle (engineer) programme
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2024/2025
- Course code
- DGEITGS.IIi1.07196.24
- Lecture languages
- English
- Mandatoriness
- Obligatory
- Block
- Major Modules
- Course related to scientific research
- Yes
Lecturer
Mariusz Twardowski
|
Period
Semester 1
|
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures:
15
Project classes: 30 |
Number of ECTS credits
3
|
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | rules and differences of Python and Matlab programming language. | GEI2A_W02 | Test |
| Skills – Student can: | |||
| U1 | create programs using Python language. | GEI2A_U02 | Test |
| U2 | extend geoinformation tools functionality using Python language. | GEI2A_U02 | Test |
| Social competences – Student is ready to: | |||
| K1 | Creativity in programming. | GEI2A_K03 | Activity during classes |
Program content ensuring the achievement of the learning outcomes prescribed to the module
The module allows to acquire familiarity with Python language in comparison with Matlab for solving computing problems.
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 15 | |
| Project classes | 30 | |
| Realization of independently performed tasks | 25 | |
| Contact hours | 1 | |
| Preparation of project, presentation, essay, report | 10 | |
| Student workload |
Hours
81
|
|
| Workload involving teacher |
Hours
45
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
Lectures: 1. Introduction to Python Interpreter basics. Other programming languages comparison. Variable assignment, mathematical and logical operators. Base data types and their representation. Keywords and complex structures. Mutable objects. 2. Scripts and program flow control Correct script formatting. Conditional structures, loops and function definitions. Difference between interpreter and compiler. Exception handling. Input/output procedures. 3. Classes, objects, and modules Introduction to object-oriented programming in Python. Class, object and method construction, inheritance and polymorphism. Script modularisation methods and library import. 4. Language libraries selection Standard libraries and most important elements. Geospatial libraries GDAL, OGR, OSR. Reading, writing and processing raster and vector data. 5. QT interface introduction. Rapid Application Development tools, automatic code generation, connecting interface elements with implementation code. Event-driven programming. 6. Python as a Matlab replacement introduction to PIL and matplotlib libraries. Data Visualization algorithms. |
W1, K1 | Lectures |
| 2. |
Project classes: 1. Introduction to Python Active interpreter usage for variable assignment and expression evaluation. Type checking. String slicing. A list, set and dictionary allocation. Keyword usage. 2. Scripts and program flow control. Script authoring tools. Error correction and interpretation. Conditionals, loops and exception handling. 3. Classes, objects, and modules. Class creation and method implementation. Inheritance examples. Object initialization and designator usage in method calls. Module import. 4. Selected libraries. Common standard library examples. Spatial library usage. Raster, vector and text data operations. 5. QT interface design introduction. Basic GUI design tool usage. Tools for automatic code generation. Connecting basic interface elements with methods. Simple interface testing. 6. Visualization libraries. Connecting PIL and Matplotlib libraries with QT interface. Usage of libraries in geoinformation problems. |
U1, U2, K1 | Project classes |
Extended information/Additional elements
Teaching methods and techniques :
Lectures
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Activity during classes, Test | |
| Project classes | Activity during classes, Test |
Conditions and the manner of completing each form of classes, including the rules of making retakes, as well as the conditions for admission to the exam
Ćwiczenia zaliczane są na podstawie kolokwium. W przypadku braku zaliczenia kolokwium możliwa będzie jego poprawa.
Method of determining the final grade
Lectures and project classes final grade will be based on the final test at the end of the semester. In case of a failed attempt, there will be possible 2 more tries. Retrying failed attempt does not have the impact on final grade.
Manner and mode of making up for the backlog caused by a student justified absence from classes
W przypadku nieobecności na wykładach lub ćwiczeniach student zobowiązany jest nadrobić materiał samodzielnie.
Prerequisites and additional requirements
Ability to understand English.
Computer usage knowledge.
Any basic computer language familiarity.
Ability to use a web browser.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Project classes: Studenci wykonują prace praktyczne mające na celu uzyskanie kompetencji zakładanych przez syllabus. Ocenie podlega sposób wykonania projektu oraz efekt końcowy.
Literature
Obligatory- Literatura:
- 1. Lutz Mark: "Learning Python, 5th edition". 2013,
- 2. Dawson Michael: "Python Programming for the Absolute Beginner, 3rd Edition", 2010
- 3. Documentation and online courses: http://pl.python.org
- 4. Summerfield Mark: "Rapid GUI Programming with Python and Qt". Prentice Hall 2008
- 5. PyQt documentation: http://pyqt.sourceforge.net/Docs/PyQt4/
Scientific research and publications
Publications- 1. K. Pyka, M. Twardowski: “Miejsce wolnego oprogramowania w nauczaniu geoinformatyki”. Archiwum Fotogrametrii, Kartografii i Teledetekcji. 2007.
- 2. K.Pyka, M. Słota, M. Twardowski -“Usage of stereo orthoimage in GIS: old concept, modern solution”. XXII ISPRS congress. 2012