Alternate Text

Department history

At the behest of the time, the Faculty of Information Technology was opened at the Al-Farabi KazNU on January 15, 2018. This was accompanied by a message from the President of Kazakhstan N.A. Nazarbayev dedicated to the implementation of the "Digital Kazakhstan" program, in which the lion's share was devoted to the digitalization of Kazakhstan, in particular, an increase in the number of graduates trained in information technology, work with artificial intelligence and "big data". In Kazakhstan, the State Program "Digital Kazakhstan" has been adopted, in which the basic motive is the development and application of Information Technologies in all spheres of life. In this regard, a new department called Artificial Intelligence and BigData was opened at the new faculty to train specialists in this field.

   The department "AI and BigData" actually originates from the department "Computer software", abbreviated as "MO COMPUTER", opened in 1973. The first head was Doctor of Physical and Mathematical Sciences K.A. Kasymov. After him, the department was headed by Doctor of Physical and Mathematical Sciences, Professor M.M. Telemtaev.

   In 1989 was opened a new department of "Computers and Cybernetics"  and "Mathematical Cybernetics". The head of the department was Doctor of Physical and Mathematical Sciences, Associate Professor T.N. Biyarov.

   In 1997, after the merger of the department "Computer Mathematical Support" and "Mathematical Cybernetics" the department was renamed "Computer and Mathematical Support Mathematical Cybernetics". And, the head of the department by competition was chosen Doctor of Physical and Mathematical Sciences, Associate Professor T.N.Biyarov. According to the requests on the labor market, which have arisen at the department, referred to in the new profession as "information systems in Business".

  In November 2001, "Computers and Mathematical Support Mathematical Cybernetics" was again divided into two departments "Mathematical Cybernetics and Information Systems" and "Informatics".

  Since October 2002, the Department of Mathematical Cybernetics and Information Systems was headed by Doctor of Physical and Mathematical Sciences, Professor N.T. Danaev.

  At the end of 2003, the department of "Mathematical Cybernetics and Information Systems" was renamed to "Information Systems" and the head was Doctor of Technical Sciences, Professor U. A. Tukeyev.

  On January 15, 2018, the Department of "Information Systems" was divided into two departments "Information Systems" and "Artificial Intelligence and Big Data".

 

Head of Department

Mansurova Madina Esimkhanovna

e-mail: Madina.Mansurova@kaznu.edu.kz

mansurova.madina@gmail.com

Tel .: 8 (727) 221 15 87

Department address: al-Farabi ave. 71, building 23, room 225

 

ARTIFICIAL INTELLIGENCE AND BIG DATA

The educational program prepares specialists for work in business, helps to understand processes and implement technical solutions, increases the company's profit and reduces its costs. A graduate of this program can engage in the design and analysis of automation systems, understand and use Big Data tools and machine learning.

For successful training, applicants need a good understanding of the school course in mathematics and physics, as well as problem solving. In the first and second years, students master programming, electronics and higher mathematics. Business Analytics and Fundamentals of Artificial Intelligence from the third year. in addition, students have the opportunity to receive additional education.

MACHINE LEARNING AND DATA ANALYSIS

  The purpose of the educational program is to strengthen the analytical information of undergraduates and prepare them for work in the field of data analysis using machine learning tools. After graduation, graduates can work in any field, including business, manufacturing, government service, etc.Applicants need skills in algebra and geometry, programming, and critical thinking to succeed. At the first stage of training, undergraduates master the theoretical foundations (setting tasks, developing and transforming algorithms, evaluating its work, etc.) and tools (Python, Anaconda, etc.). In the second year, undergraduates have the opportunity to develop the acquired skills by completing projects. The second year he conducts the experiments under consideration.

BUSINESS ANALYSIS AND BIG DATA

The goal of the study program is to prepare undergraduates for work in business intelligence using big data. After graduation, graduates can work in any field, including business, manufacturing, government service, etc.Applicants need skills in algebra, programming, and criticism to succeed. In the first year of study, undergraduates master the basic (introduction to big data, tools for collecting and analyzing data, decision-making, etc.) and basic equipment. In the second year, undergraduates get the opportunity to carry out projects and develop the acquired skills. For the second year he has been conducting an experiment.

 

Main specialties of the Department of Artificial Intelligence and Big Data

Bachelor's specialties:

6В07113 - Intelligent control systems

Master's specialties:

1) 7M0712 Intelligent control systems

Field of education:

7M07 Engineering, manufacturing and construction industries

Direction of training:

7M071 – Engineering and engineering

Group of the educational program:

M100 – automation and control

2) 7M07113 - Business analytics and Big data

Field of education:

7M07 Engineering, manufacturing and construction industries

Direction of training:

7M071 – Engineering and engineering

Educational program group:

M100 – automation and control

Doctoral specialties:

8D07116 - Intelligent control systems

Field of education:

 8D07 – Engineering, manufacturing and construction industries

Direction of training:

8D071 – Engineering and engineering

Group of educational programs:

D100 – automation and control

 

Contacts 

Al-Farabi Kazakh National University

Address: 050040, Republic of Kazakhstan, Almaty, 71/23 al-Farabi ave.

Tel.: +7 (727) 377-33-30

Faculty of Information Technology, room 222

Department of Artificial Intelligence and Big Data, room 225

Tel.: +7(727)2211587