Classes with in-person instruction:

1st year of Bachelor's degree:

• Fall semester:
  • Algebra and Geometry. Part 1
  • Architecture of computing systems
  • Critical Thinking and Decision Making
  • Mathematical Analysis. Part 1
  • Programming. Part 1 (Lectures)
• Spring semester:
  • Algebra and Geometry. Part 2
  • Algorithms and Data Structures
  • Discrete Mathematics
  • Mathematical Analysis. Part 2
  • Programming. Part 2 (Lectures)

2nd year of Bachelor's degree:

• Fall semester:
  • Prompt Engineering
  • Mathematical Logic and the Theory of Algorithms (Recitations)
  • 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 (sections)
  • Stochastic Processes (sections)
  • Fundamentals of Machine Learning (sections)
  • Numerical Methods (sections)
• Spring semester:
  • Data Analysis (sections)
  • Operations Research and Methods of Optimisation (sections)
  • Fundamentals of Geometric Modelling (sections)
  • Functional Analysis (sections)

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.).