Mark Blumenau
- Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Lecturer: Faculty of Physics
- Doctoral Student: Joint Department of Low Temperature Physics with the Kapitza Institute for Physical Problems (RAS)
- Programme Academic Supervisor: Smart Devices: Hardware Development
- Mark Blumenau has been at HSE University since 2024.
Education
2025
Master'sHSE University
2023
Bachelor's in PhysicsHSE University
Awards and Accomplishments
- Best Teacher — 2025–2026
Postgraduate Studies
1st year of study
Approved topic of thesis: Kinetics of Conductive Properties of Quantum Materials under Pulsed Laser Excitation
Academic Supervisor: Alexander Kuntsevich
Approved topic of thesis: Kinetics of Conductive Properties of Quantum Materials under Pulsed Laser Excitation
Academic Supervisor: Alexander Kuntsevich
Courses (2026/2027)
- Basics in computer vision (Mago-Lego; Faculty of Computer Science)Rus
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Deep Learning (Mago-Lego; Faculty of Computer Science; 3 module)Rus
- Deep Learning (Mago-Lego; Faculty of Computer Science)Rus
- Deep Learning (Mago-Lego; Faculty of Computer Science; 1, 2 module)Rus
- Deep Learning and Neural Networks (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Rus
- Deep Learning and Neural Networks (Mago-Lego; Faculty of Computer Science; 1, 2 module)Rus
- Experiment Automation with AI Instruments (Bachelor’s programme; Faculty of Physics field of study Physics; 1 year, 2 module)Rus
- GPU (Mago-Lego; Faculty of Computer Science)Rus
- Introduction to Deep Learning (Minor; Faculty of Computer Science)Rus
- MLOps (Mago-Lego; Faculty of Computer Science; 1, 2 module)Rus
- Machine Learning 2 (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Machine Learning 2 (Mago-Lego; Faculty of Computer Science; 2, 3 module)Rus
- Mentor's Seminar "Smart Devices: Hardware Development" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Modern Computer Vision (Mago-Lego; Faculty of Computer Science)Rus
- Past Courses
Courses (2025/2026)
- Applied Data Analysis Problems (Minor; Faculty of Computer Science)Rus
- Computer Science (Bachelor’s programme; Faculty of Physics field of study Physics; 1 year, 1 module)Rus
- Deep Learning (Mago-Lego; Faculty of Computer Science; 3 module)Rus
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3 module)Rus
- From Automating Experiments to Solving Equations (Python and Wolfram Mathematica) (Optional course (university); Faculty of Physics; 3, 4 module)Rus
- Introduction to Deep Learning (Minor; Faculty of Computer Science)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Optional course (faculty); Faculty of Computer Science; 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Rus
- Machine Learning 1 (Mago-Lego; Faculty of Computer Science)Rus
- Mentor's Seminar "Hardware Development of Smart Devices" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Modern Computer Vision (Mago-Lego; Faculty of Computer Science; 3 module)Rus
- Neural Networks and Deep Learning (Mago-Lego; Faculty of Computer Science; 2, 3 module)Eng
- Neural Networks and Deep Learning (Mago-Lego; Faculty of Computer Science; 2, 3 module)Rus
- Neural Networks and Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 2, 3 module)Rus
- Neural Networks and Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 2, 3 module)Eng
Courses (2024/2025)
- Applied Data Analysis Problems (Minor)Rus
- Deep Learning (Mago-Lego; 4 module)Rus
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
- Deep Learning (Master field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
- From automating experiments to solving equations (Python and Wolfram Mathematica) (Optional course (university); 3, 4 module)Rus
- Introduction to Deep Learning (Minor)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Mago-Lego; 1, 2 module)Rus
- Neural Networks and Deep Learning (Mago-Lego; 2, 3 module)Eng
- Neural Networks and Deep Learning (Master field of study Applied Mathematics and Informatics; 2 year, 2, 3 module)Eng
Courses (2023/2024)
- Applied Data Analysis Problems (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Introduction to Deep Learning (Minor; Faculty of Computer Science; 1, 2 module)Rus
11
Feb
2026
Educational Programmes on Robotics and Neural Network Technologies Launch at HSE University’s Faculty of Computer Science
Every year, in response to IT industry demands, the Higher School of Economics Faculty of Computer Science launches new educational programmes while updating existing ones. In 2026, the faculty introduced Bachelor’s and Master’s degree programmes in robotics for the first time.