Nikita Lukianenko
- Senior Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Nikita Lukianenko has been at HSE University since 2020.
Education
2020
Master'sHSE University
Courses (2024/2025)
- Calculus (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Research Seminar "Theoretical Informatics 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
- Research Seminar "Theoretical Informatics" (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Rus
- Statistical Learning Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Past Courses
Courses (2023/2024)
- Calculus (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2 module)Eng
- Calculus (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Computational Complexity Theory (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
- Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 3, 4 module)Rus
- Probability Theory (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Theory of Computation (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
Courses (2022/2023)
- Calculus (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering, field of study Applied Mathematics and Information Science; 1 year, 1-4 module)Rus
- Calculus (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Eng
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 1 year, 1-3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Economic Sciences; 1 year, 1-3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Tools in Calculus: An Introductory Course (Optional course (faculty); Faculty of Computer Science; 4 module)Rus
Courses (2021/2022)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 1 year, 1-3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Statistical Learning Theory (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Statistical Learning Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Statistical Learning Theory (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Eng
Courses (2020/2021)
- Calculus (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Statistical Learning Theory (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Eng
- Statistical Learning Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Statistical Learning Theory (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng