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-ALL-COURSES-

Data Science courses here: https://github.com/TheFebrin/DataScience

Semester 1

  • Mathematical Analysis (lecture: Maciej Paluszyński, class: Yuriy Kryakin)

  • Logic for Computer Science (lecture: Witold Charatonik, class: Antoni Kościelski)

  • Introduction to Programming in C (lecture: Marek Piotrów, workshop: Krystian Bacławski)

  • Introduction to Computer Science (lecture: Tomasz Jurdziński, class: Artur Kraska)

  • Java course (lecture: Paweł Rzechonek, workshop: Przemysław Gospodarczyk)

Semester 2

  • Algebra (lecture: Artur Jeż, class: Witold Karczewski)

  • Programming Methodology (lecture: Filip Sieczkowski, Maciej Piróg class: Dariusz Biernacki)

  • Object-Oriented Programming (lecture: Marcin Młotkowski, workshop: Robert Kraus)

  • English B2-II

Semester 3

  • Numerical Analysis (B) (lecture: Paweł Woźny, class: Witold Karczewski)

  • Discrete Mathematics (B) (lecture: Katarzyna Paluch, class: Szymon Dudycz)

  • Efficient Implementation of Algorithms

  • Protection of Intelectual Property (lecture: Julian Jezioro)

  • Development of the Enrollment System (workshop: Jan Marcinkowski)

Semester 4

  • Algorithms and Data Structures (M) (lecture: Krzysztof Loryś, class: Szymon Dudycz)

  • Artificial Intelligence (lecture: Paweł Rychlikowski, class: Paweł Rychlikowski)

  • Probability and Statistics (lecture: Witold Karczewski, class: Pratik Ghosal)

  • Programming in C++ (lecture: Paweł Rzechonek, workshop: Przemysław Uznański)

  • Another View of Economy (lecture: Witold Kwaśnicki)

  • Sport Programming in Practice

Semester 5

  • Machine Learning (lecture: Jan Chorowski, workshop: Piotr Wieczorek)

  • Data Mining (lecture: Piotr Wnuk-Lipiński, class: Piotr Wnuk-Lipiński)

  • Selected Areas of Practical Software Development (lecture: Wiktor Zychla, class: Piotr Wieczorek)

  • Advanced techniques in C++ and STL (lecture: Paweł Rzechonek, workshop: Paweł Rzechonek)

  • Advanced Python Programming (lecture: Marcin Młotkowski, workshop: Adam Kaczmarek)

  • Human-Computer Interaction (lecture: Zdzisław Płoski, workshop: Leszek Grocholski)

  • Efficient Implementation of Algorithms 2

Semester 6

  • Neural Networks and Deep Learning (lecture: Jan Chorowski, class: Paweł Laskoś-Grabowski)

  • Evolutionary Algorithms (lecture: Piotr Wnuk-Lipiński, class: Piotr Wnuk-Lipiński)

  • Computer Networks (lecture: Marcin Bieńkowski, workshop: Szymon Dudycz)

  • Computer Systems (lecture: Piotr Witkowski, workshop: Piotr Polesiuk)

  • Data Bases (lecture: Piotr Wieczorek, class: Robert Ferens)

  • Workshops: Deep Learning (companies: AlphaMoon, EY, MicroscopeIT, NeuroSys and Tooploox)

Semester 7

  • Artificial Intelligence for Games

  • Natural Language Processing

  • Seminar: Data Mining

Semester 8

  • Project: Deep Learning

  • Thesis


Data Science

Semester 1

  • Algorithmic Trading

  • Numerical Optimization

  • Design and Implementation of Systems in the Cloud

  • Intelligence Services in State Security System and International Relations

Semester 2

  • Statistical learning
  • Algorithmic Trading
  • Object-oriented Software Development
  • Using Convolutional Neural Networks to Analyze 1D, 2D, and 3D Data
  • Modern web development

Semester 3

  • Modeling financial derivatives using F#
  • Statistics and Linear Models
  • Conversational bots and question answering
  • Algorithmic Causality with Applications