Faculty of Computer Science and Mathematics strives to theoretically and practically prepare graduates for independent modeling of reality and problem solving requiring the application of advanced information science techniques and methods of mathematical modeling. Education at the Faculty is in response to the demand of companies that are in need of IT technicians and mathematicians that can deal with the real problems of design, production, and management, as well as the creation of practical solutions for each of these problems.
Offer of courses
Please, note that the minimum number of students in a group required to open a course is 7. For more information regarding courses please contact Exchange Coordinator at FCST – Ms Margareta Wiciak, PhD, contact: erasmusfmi@pk.edu.pl
or visit faculty WWW
BSc Level FALL SEMESTER
- Computer Modelling
- Data Mining with R
- Differential Geometry
- Elements of Artificial Intelligence
- Introduction to Databases
- Mathematical Finance
- Neural Networks
- Number Theory
- Object-Oriented Programming
- Parallel and Distributed Programming
- Software Engineering
- Statistical Learning Models
- Theory and Application of Fourier Series
- Introduction to Machine Learning
- Problem Solving
BSc Level SPRING SEMESTER
- Actuarial Methods
- C++ Programming
- Calculus of Variations
- Computer Image Processing
- High Performance Computing
- Introduction to Databases
- Knot Theory
- Logic and Foundations of Computer Science
- MATLAB Programming
- Mobile Technologies and Programming
- Natural Language Processing
- Numerical Analysis
- Probability and Statistics
- Processing of Big Data using Apache Spark
- Python Programming
- Introduction to Machine Learning
- Problem Solving

MSc Level FALL and SPRING SEMESTER
- AI Methods in Cybersecurity (Master)
- Advanced Computer Image Processing (Master)
- Advanced Web Crawling and Cybersecutiy (Master)
- Game Programming with VR/AR (Master)
- Machine Learning in Medical Image Diagnosis (Master)
- Modelling and Simulation in DIC (Master)
- Robustness ML Models Adversarial (Master)
- Problem Solving in Data Sciences (Master)
- Evolutionary Computing (Master)
- Recommender Systems (Master)
- Quantum Computing (Master)