Фонд «Интеллект»
Фонд «Интеллект»
The course “Neural Networks and Their Applications in Research” is aimed at graduate students across all faculties of Lomonosov Moscow State University, as long as they possess programming skills and neural network methods can be used in their research for data mining purposes.
Duration: 2 semesters (one academic year):
- Spring semester: 15 lectures combined with practical programming assignments on a previously studied topic.
- Fall semester: the graduate student writes an article on a subject of their choice under the supervision of a course instructor acting as a second research advisor.
In class, graduate students are introduced to the most up-to-date neural network topics, such as:
Top achievers in the course will be eligible for a personal scholarship.
Course Leaders:
Sergei Yelizarov
Senior Research Associate, Faculty of Physics, Lomonosov Moscow State University,
Candidate of Physics and Mathematics,
Research advisor on the course “Neural Networks and Their Applications in Research”. Administers research supervision, delivers research consultancy, and designs course curriculum.
Sergei Zapunidi
Research Associate, Faculty of Physics, Lomonosov Moscow State University,
Candidate of Physics and Mathematics,
Head of the faculty team on the course “Neural Networks and Their Applications in Research”. Coordinates the work of the course's faculty members, peer-reviews the methodology material they prepare for their lectures.
Course Instructors:
Anton Ganichev
Education
Automated Systems for Data Processing and Management
Moscow State Aviation Technological University
Areas of Expertise
Development of computer vision systems
Andrei Marakulin
Education
Bachelor's degree in Physics
Lomonosov Moscow State University
Areas of Expertise
Development of neural networks
Dmitry Penzar
Education
Bioengineering and Bioinformatics
Lomonosov Moscow State University
Areas of Expertise
Bioinformatics, statistical data processing, machine learning in biology
Dmitry Ivanov
Education
Applied Mathematics and Information Science
Lomonosov Moscow State University
Areas of Expertise
Development of neural networks
Ilya Konyushok
Education
Project Specialization and Implementation in Numerical Rows (Including Sound) and Natural Language Processing
Artificial Intelligence University
Areas of Expertise
Development of neural networks
Artemy Novosyolov
Education
Geology, Earth Sciences
Lomonosov Moscow State University, Norwegian University of Science and Technology
Areas of Expertise
Neural network applications in signal processing, seismology, and acoustics
TThe admission consists of 2 stages:
50 graduate students will be admitted: 5 study groups of 10 students each.
Prerequisites:
The first class was held online on Discord on January 22, 2021.
The course ends in the winter of 2021/2022.
There are currently no new admissions to the course.
(if the general state of affairs is favorable and the course proves successful, new admissions will be announced in the fall/winter of 2021).
Selection of the new intake will be open from June 1, 2021, to August 10, 2021, inclusive of both dates.
50 graduate students of Lomonosov Moscow State University will be admitted: 5 study groups of 10 students each.
Prerequisites:
The first class is tentatively scheduled offline on September 6, 2021.
The course ends in the spring of 2022.
Click here to fill out your application form.
Click here to take a mock competence test in mathematics and programming.
Selection of the new intake will be open from June 1, 2021, to August 10, 2021, inclusive of both dates.
50 graduate students of Lomonosov Moscow State University will be admitted: 5 study groups of 10 students each.
Prerequisites:
The first class is tentatively scheduled offline on September 6, 2021.
The course ends in the spring of 2022.
Click here to fill out your application form.
Click here to take a mock competence test in mathematics and programming.
FRIDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Ganichev
THURSDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Marakulin
MONDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: D. Penzar
SATURDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: I. Konyushok