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Regular version of the site
ФКН
Contacts

3 Kochnovsky Proezd (not far from the metro station 'Airport'), room 514

Phone: 8 (495) 772-95-90*23269

Administrations
Department Head Nikolay Filipenkov
Anna Grigorieva
Manager Anna Grigorieva
Article
The New Age of Credit Scoring and Decisioning

Filipenkov N., Siddiqi N., Akhadov A.

Risk and Compliance. 2019. No. JAN-MAR. P. 3-14.

Book chapter
Data Mining of Changing Rules in Time Series

Filipenkov N., Petrova M.

In bk.: 7th International conference "Problems of Mathematical Physics and Mathematical Modelling” (2018) Book of abstracts. M.: National Research Nuclear University "MEPhI", 2018. P. 167-169.

The SAS specialized department has already launched a course on "Business data analysis"

The most successful students will get certificates and may be offered the opportunity to become interns.

Course training agenda is ready. The following themes of the next lectures and workshops as part of the "Customer analytics" section: "Model building and data visualization" and "Financial rationale for projects based on data analysis." The most successful students will get certificates and may be offered the opportunity to become interns.

The course contains two modules.

The first one is for 3rd–4th year students of the Faculty of Computer Science majoring in "Applied Mathematics and Computer Science" who chose the course voluntarily. The students will study the following sections:

Customer analytics;

Purpose of data analysis in retail networks;

Risk assessment basics;

Presentation technique.

Participants of the course will study the specifics of data analysis and analytic model building for each module section. They will get familiarized with the following tools: SAS BASE, SAS Enterprise Guide, SAS Enterprise Miner, and SAS Forecast Server.

The second module is a team project that is only designed for 3rd year students. Students will be divided into groups of 2–3 students, and each group will be given a practical task. This module will enable the students to get practical experience in analyzing data as well as developing and constructing analytical models based on real-world data.

As a result, students will get an idea of real-world business objectives. Due to the knowledge acquired from the course along with SAS products experience, students will become professionals in high demand on the job market who are optimally prepared for their work. The most successful students will get certificates and may be offered the opportunity to become interns.