Al-Farabi Kazakh National University

Faculty of Information Technology

Department of Artificial Intelligence and Big Data

 

Educational program

8D07116 - Intelligent control systems

 

Field of education:

• 8D07 - Engineering, manufacturing and construction industries

Training direction:

• 8D071 - Engineering and Engineering

Group of educational programs:

• D100 - Automation and Control

 

Our employers

• DSE "Research Institute of Mathematics and Mechanics" KazNU named after Al-Farabi.

• "Institute of Information and Computing Technologies".

• State and private educational institutions of secondary and higher education.

• LLP "GooStroi".

• LLP "KKTS".

• InterGas Central Asia LLP.

• Suntelcity LLP.

• LLP "Avant Garde Solutions".

• LLP YugPromGaz.

• Association of Innovative Companies (AIC) of FEZ "PIT".

• Technopark Alatau LLP.

• Alem Research LLP.

• LLP “Almaty A.I. Lab ".

 

Academic mobility:

• Novosibirsk State Technical University, Russia

• Technical University "Lublin Polytechnic", Poland.

• University of Lisbon, Portugal.

• Higher Engineering Institute of Lisbon, Portugal

• St. Petersburg State Technical University, Russia.

• University of Stuttgart, Germany.

• St. Petersburg National Research University of Information Technologies, Mechanics and Optics, Russia

 

Accreditation

International accreditation of ASIIN agency (Germany)

Leading positions in national ratings

Independent Agency for Accreditation and Rating (IAAR), Independent Agency for Quality Assurance in Education (NAOKO).

Our partners:

• IT Academy Microsoft;

• Cisco Academy;

• Oracle Academy;

• Educational platform Coursera;

• Siemens laboratory.

 

Activities

• Machine learning specialist;

• Specialist in neural networks;

• DataMining Specialist;

• Artificial Intelligence Engineer;

• Specialist in artificial intelligence;

 

 

The purpose of the educational program

Providing high-quality training of specialists for scientific, educational and industrial spheres associated with the implementation of intelligent management systems and solutions of "Industry 4.0", capable of carrying out independent scientific research on various IoT platforms using methods of big data and cloud analysis technologies.

Learning outcomes:

• Design and develop highly efficient algorithms and data structures for computational tasks in various fields;

• Manage the infrastructure of the collective environment for the development of software for artificial intelligence systems, train and apply deep neural networks;

• Create applications for predictive modeling, use methods and applications of pattern detection in data mining;

• Apply the principles of construction and organization of modern software solutions for processing big data;

• Apply managed cloud services to create and deploy predictive analytics solutions based on machine learning methods;

 

Sphere of professional activity:

• Design, implementation and use of modern intellectualized collective wireless sensors and devices (Internet of Things - IoT devices) in industry and everyday life;

• Development, maintenance of software for IoT devices;

• Management and intellectualization of existing automated technological processes in industry, small and medium-sized businesses;

• Application of cloud computing for Big Data analysis for large business centers.

 

Laboratories

• Laboratory of industrial controllers Siemens

• CISCO Networking Academy Laboratory

• IT Academy (Microsoft, Oracle)

• HP Lab

• National Instruments laboratory

 

Educational program

8D06114 - Artificial intelligence in medicine

 

Field of education:

• 8D06 - Information and communication technologies

Training direction:

• 8D061 - Information and communication technologies

Group of educational programs:

• D094 - Information Technology

 

Our employers

• DSE "Research Institute of Mathematics and Mechanics" KazNU named after Al-Farabi.

• "Institute of Information and Computing Technologies".

• State and private educational institutions of secondary and higher education.

• LLP "GooStroi".

• LLP "KKTS".

• InterGas Central Asia LLP.

• Suntelcity LLP.

• LLP "Avant Garde Solutions".

• LLP YugPromGaz.

• Association of Innovative Companies (AIC) of FEZ "PIT".

• Technopark Alatau LLP.

• Alem Research LLP.

• LLP “Almaty A.I. Lab ".

 

Academic mobility:

• Novosibirsk State Technical University, Russia

• Technical University "Lublin Polytechnic", Poland.

• University of Lisbon, Portugal.

• Higher Engineering Institute of Lisbon, Portugal

• St. Petersburg State Technical University, Russia.

• University of Stuttgart, Germany.

 

Accreditation

International accreditation of ASIIN agency (Germany)

Leading positions in national ratings

Independent Agency for Accreditation and Rating (IAAR), Independent Agency for Quality Assurance in Education (NAOKO).

Activities

• Machine learning specialist;

• Specialist in neural networks;

• Data Mining Specialist;

• Artificial Intelligence Engineer;

• Specialist in artificial intelligence;

• Software engineer of IoT systems;

• Engineer of cloud IoT systems;

• Researcher;

• Teacher in the system of higher and postgraduate education;

• Manager in education.

 

Material and technical base of the OP:

• Laboratory of industrial controllers Siemens.

• CISCO Networking Academy Laboratory.

• Microsoft IT Academy.

• HP laboratory.

• National Instruments laboratory.

• Laboratory of technical safety systems

 

The purpose of the educational program

Providing high-quality training of highly qualified scientific and scientific-pedagogical personnel for the system of higher and postgraduate education and scientific research in the interdisciplinary field of artificial intelligence and healthcare, capable of making an original contribution to expanding the boundaries of knowledge in the field of healthcare using artificial intelligence technologies, -systems and applications using embedded systems to solve health problems.

Modules for the educational program

• Research tools;

• Deep learning for medical imaging;

• Applied electrical engineering and electronics in medicine;

• Artificial intelligence and signal processing;

• Machine learning for medical diagnostics;

• Embedded systems and their applications in health care.

 

Learning outcomes

After completing this educational program, specialists will be able to:

• Build mathematical models of various tasks of creating a public good, determine the methodology for applying artificial intelligence methods to them;

• To compare and implement the selection of digital signal processing algorithms for various medical applications, implement digital signal processing algorithms and design methods on embedded devices.

• Perform the main stages of preparation of medical imaging data in the development of artificial intelligence algorithms, explore new approaches to solving data availability problems.

• Apply machine learning methods for medical analytics and diagnostics based on medical data, create tools for data mining.

• Evaluate how embedded systems, artificial intelligence tools for health care delivery can be used to identify and assess the health impact of behavioral and environmental factors.

 

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