Courses


1–20 of 267

In-Person Educational Components


Classes with in-person instruction:

1st year of Bachelor's degree:

  • Fall semester:
    • Algebra and Geometry. Part 1
    • Architecture of computing systems (only sections)
    • Critical Thinking and Decision Making (only sections)
    • Mathematical Analysis. Part 1
  • Spring semester:
    • Algebra and Geometry. Part 2
    • Discrete Mathematics only sections)
    • Mathematical Analysis. Part 2

2nd year of Bachelor's degree:

  • Fall semester:
    • Prompt Engineering for Generative AI (only sections)
    • Mathematical Logic and the Theory of Algorithms (only sections)
    • Mathematical Analysis. Part 3
    • Probability Theory
  • Spring semester:
    • Differential Equations
    • Mathematical Statistics
    • Theory of Functions of a Complex Variable
    • Artificial Intelligence

3 year of Bachelor's degree:

  • Fall semester:
    • Databases and Information Systems (only sections)
    • Stochastic Processes (only sections)
    • Fundamentals of Machine Learning (only sections)
    • Numerical Methods (only sections)
  • Spring semester:
    • Data Analysis (only sections)
    • Operations Research and Methods of Optimisation (only sections)
    • Fundamentals of Geometric Modelling (only sections)
    • Functional Analysis (only sections)

Methodological Seminar


In June 2025, the Department of Applied Mathematics held a series of departmental methodological seminars to discuss the optimal content for new (or updated) Master's degree courses:

June 5, 2025 (Thursday) at 6:00 PM:

  • Numerical Methods in Mathematical Physics (Oryniak I.V.);

  • Geometric Modeling (Oryniak I.V.);

  • Fundamentals of Scientific Research (for research-focused Master's students) (Oryniak I.V.);

June 6, 2025 (Friday) at 6:00 PM:

  • Modeling Complex Systems (for research-focused Master's students) (Mazuryk R.V.);

  • Modeling Complex Systems (for professional Master's students) (Kostiushko I.A.);

June 10, 2025 (Tuesday) at 6:00 PM:

  • Applications of Generative AI (Liskin V.O., Shchoholiev M.O., Kovalchuk-Khymiuk L.O.);

  • Generative Artificial Intelligence (Buslaiev V.O.).