Harvard University

Courses and sample materials:

Mathematical Elements of Artificial Intelligence (Summer 2025).
- Final Projects
Math 21b: Linear Algebra and Differential Equations (Spring 2025).
- PCA Project Poster
Mathematical Elements of Artificial Intelligence (Summer 2024).
- Final Projects
Mathematical Modeling for Life Sciences (Summer 2024).
- Final Projects
Math21a: Multivariable Calculus (Spring 2024).
- 3D-Logo Modeling Poster
Mathematical Elements of Artificial Intelligence (Summer 2023).
- Final Projects
Mathematical Modeling for Life Sciences (Summer 2023).
- Final Projects
Math21a: Multivariable Calculus (Spring 2023).
- 3D-Logo Modeling Project
Math21a: Multivariable Calculus (Fall 2022)
Mathematical Elements of Artificial Intelligence (Summer 2022).
- Final Projects
Math21b: Differential Equations (Spring 2022).
Math1b: Integration, Series and Differential Equations (Fall 2021).
Math21a: Multivariable Calculus (Fall 2021).

Ukrainian Biological Data Science Summer School

Courses and sample materials:

Machine Learning Lecture Series (Summer 2025). Introduction to Machine Learning algorithms with an emphasis in biology. Topics covered range from PCA, linear and logistic regressions to neural networks. The course was taught in Python.
- Course Repository

Boston University

Courses and sample materials:

MA226: Differential Equations (2018, 2019, 2020):

MA412: Complex Variables (2018, 2019):

MA224: Calculus II (2017):

MA 223: Calculus I (2016):

Teaching Seminar (Spring 2017):

Krantz: Steven G. Krantz How to Teach Mathematics

School of Molecular and Theorerical Biology

The School of Molecular and Theoretical Biology is aimed for highschool students interested in science in general and specifically in Biology. Students combine small biology-realted projects with other free-topic courses. This is some material from past courses:

Easy Nets (Summer 2021). An introduction to neural networks and convolutions through the basics of multivariate function calculus in Python.

Course Repository.

Topological Data Analysis in Python (Summer 2019). Topological understanding of persistent homology and applications in Python.

Course Repository.

Fractals, Chaos and Dynamical Systems (Summer 2016). Complex dynamical systems using Python. From iterative maps to plots of Mandelbrot and Julia sets.