Course Overview
The course introduces students to programming in Python, programming environments, and cloud computing tools for solving engineering, design, and research problems. Students learn version control (git), environment setup and management, and use of tools such as Jupyter Notebook, VS Code, PyCharm, and Google Colab. Core programming concepts include data types, control structures, object-oriented programming, and key Python libraries (NumPy, Pandas, Matplotlib, SciPy, SymPy, Scikit-learn). The course emphasizes exploratory data analysis, numerical methods, symbolic computation, and introductory machine learning, with practical tasks implemented in Python and cloud-based environments.
Main Goal
To equip students with knowledge and practical skills in Python programming, computational tools, and cloud technologies for solving analytical, design, and research problems in engineering.
Skills To Be Gained
On completion of this module the learner will gain:
- Proficiency in Python programming and use of programming environments
- Competence in exploratory data analysis and visualization
- Skills in numerical and symbolic computations using Python libraries
Practical Notes
Contact details: patryk.jasik@pg.edu.pl
Requirements
Basic knowledge of mathematics and physics.
Teaching And Assessment
Lectures (15h), laboratories (45h), and project (15h). Assessment based on project (50%) and two programming tests (50%).
Course Staff
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