This repository is for storing my handwritten or LaTeX notes, labs, and projects of Higher Mathematics during my studies at ITMO University.

During this course I gained deep understanding of the fundamental concepts of mathematical analysis, including limits, derivatives, integrals, series, it goes on.. . The rigorous training helped me develop strong analytical and problem-solving skills, which are essential for any advanced study in mathematics and its applications in programming. The course projects and assignments also improved my ability to apply theoretical knowledge to practical problems.

Note that not all noted and projects made it up there. 80% of notes i have handwritten laying at home, but at 1st semester i had some energy and enthusiasm to upload it here :)

• Lectures
• Practical classes
• Homework
• Team project - Computational & Graphic work
• Online Test Pad answers

The Linear Algebra course was pivotal in understanding vector spaces, linear transformations, and matrix theory. This knowledge is crucial for fields such as computer graphics, machine learning, and systems theory. Through this course, I enhanced my computational skills and learned how to approach and solve complex problems systematically.

Note that not all noted and projects made it up there. 80% of notes i have handwritten laying at home, but at 1st semester i had some energy and enthusiasm to upload it here :)

• Lectures
• Practical classes
• Homework
• Online Test Pad answers

In this course, I learned and implemented various optimization methods, including genetic algorithms and techniques for solving the traveling salesman problem and transport network optimization problems. This hands-on experience with optimization algorithms greatly enhanced my programming skills in Rust and Python and my understanding of efficient algorithm design. Hopefully it would help me in developing my own neural networks and solving practical transportation problems in the future.

• Course Repository

it's okay to not understand
it's not okay to not try to understand)
©Boris Dvorkin