Al-Farabi Kazakh National University

Faculty of Information Technology

Department of Artificial Intelligence and Big Data

 

Machine learning and data analysis

 

The purpose of the educational program is to strengthen the analyticalapparatus of undergraduates and prepare them for work in the field of data analysisusing machine learning tools. After graduation, graduates can work in any field,including business, manufacturing, public service, etc. The Main emphasis is on theformation of synthesis skills to solve the problems of data search and analysis,extracting from them non-obvious facts and patterns

 

For successful learning applicants need knowledge of algebra and geometry,programming skills and critical thinking. In the first year of study undergraduateswill master the theoretical foundations (problem setting, selection and modificationof the algorithm, evaluation of its work, etc.) and tools (Python, Anaconda, etc.). Inthe second year, undergraduates will have the opportunity to develop their skills bycompleting projects. Classes in the second year are invited to practice.

 

More detailed information about the program and subjects is presented in thefollowing files:

 

Business Analytics and Big Data

 

The purpose of the educational program is to prepare undergraduates towork in the field of business Analytics using big data. Upon graduation, graduatescan work in any field, including business, manufacturing, public service, etc.theMain emphasis is on the formation of synthesis skills to solve the problems ofincreasing profits, reducing costs and improving the operating activities of firmsand structures.

 

For successful learning applicants need knowledge of algebra, programmingskills and critical thinking. In the first year of study, undergraduates will master thebasic component (introduction to big data, tools for data collection andconsolidation, decision-making, etc.) and basic tools. In the second year,undergraduates will have the opportunity to develop their skills by completingprojects. Classes in the second year are invited to practice.

 

More detailed information about the program and subjects is presented in thefollowing files:

 

Educational program

7M0712 - Intelligent control systems

Field of education:

• 7M07 Engineering, manufacturing and construction industries

Training direction:

• 7M071 - Engineering and Engineering

Educational program group:

• M100 - Automation and Control

 

Our employers

• RSE "Institute of Information and Computing Technologies" KN MES RK

• JSC NC "KazMunayGas"

• Kazakhtelecom JSC

• Siemens Kazakhstan LLP

• LLP "InterGas Central Asia"

• LLP "Suntelcity"

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

• LLP "Technopark Alatau"

• LLP "Camozzi Pneumatic Kazakhstan"

• Philip Morris Kazakhstan LLP

• Kazakhmys Corporation LLP

• LLP "Alem Research"

• 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 ASIIN International Accreditation 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 Kazakhstan

 

The purpose of the educational program

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

Learning outcomes

• Design and use decision support systems in automated systems based on the principles of Industry 4.0.

• Ensure the security of IoT systems.

• Design models of collective touchscreen smart M2M devices and prototypes of virtual models.

• Develop models of IoT systems.

 

Modules for OP ISU

• Intelligent control systems and solutions "Industry 4.0";

• IoT systems and analysis of algorithms;

• Mathematical methods and object management;

• Machine-to-machine communication and IoT design systems;

• Security of control systems;

• Intelligent control systems;

• Robots and technological processes;

• IoT and automated systems.

• Use software tools for processing, storing and transferring cloud data.

 

Graduate professions

• Software engineer of IoT systems;

• Engineer of cloud IoT systems;

• Researcher;

• Teacher in the system of secondary specialized, higher and postgraduate education;

• Manager in education.

 

Professional activities

• 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 business;

• 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

 

Educational program

7M07113 - Business analytics and Big data

Field of education:

• 7M07 Engineering, processing and construction industries

Training direction:

• 7M071 - Engineering and Engineering

Educational program group:

• M100 - Automation and Control

Our employers

• RSE "Institute of Information and Computing Technologies" KN MES RK

• JSC NC "KazMunayGas"

• Kazakhtelecom JSC

• Siemens Kazakhstan LLP

• LLP "InterGas Central Asia"

• LLP "Suntelcity"

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

• LLP "Technopark Alatau"

• LLP "Camozzi Pneumatic Kazakhstan"

• Philip Morris Kazakhstan LLP

• Kazakhmys Corporation LLP

• LLP "Alem Research"

• LLP “Almaty A.I. Lab "

academic mobility

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)

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;

• DataMining Specialist;

• Artificial Intelligence Engineer;

• Specialist in artificial intelligence;

Our partners:

• IT Academy Microsoft;

• Cisco Academy;

• Oracle Academy;

• Educational platform Coursera;

• Siemens laboratory.

The purpose of the educational program

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

Learning outcomes

• Apply modern methods of economic and mathematical modeling and Big Data processing;

• Design and develop software taking into account the basic functional requirements;

• Analyze the specifics of economic and technological processes and input data streams;

• Design, implement and use automated business process management systems at enterprises;

• Create software tools for manipulating, storing, analyzing big data;

Modules for the educational program

• Business and data analysis, algorithms;

• Theory of queuing and enterprise management;

• Computation models and big data analytics;

• Data analytics and entrepreneurship;

• Legal regulations in IT enterprise;

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 business;

• 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

7M07115 - Machine Learning and Data Analysis

 

Field of education:

• 7M07 Engineering, manufacturing and construction industries

Training direction:

• 7M071 - Engineering and Engineering

Group of the educational program:

• M100 - Automation and Control

 

Our employers

• RSE "Institute of Information and Computing Technologies" KN MES RK

• JSC NC "KazMunayGas"

• Kazakhtelecom JSC

• Siemens Kazakhstan LLP

• LLP "InterGas Central Asia"

• LLP "Suntelcity"

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

• LLP "Technopark Alatau"

• LLP "Camozzi Pneumatic Kazakhstan"

• Philip Morris Kazakhstan LLP

• Kazakhmys Corporation LLP

• LLP "Alem Research"

• 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)

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;

• DataMining Specialist;

• Artificial Intelligence Engineer;

• Specialist in artificial intelligence;

 

Our partners:

• IT Academy Microsoft;

• Cisco Academy;

• Oracle Academy;

• Educational platform Coursera;

• Siemens laboratory.

 

 

The purpose of the educational program

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

Learning outcomes

• Apply modern methods of economic and mathematical modeling and Big Data processing;

• Design and develop software taking into account the basic functional requirements;

• Analyze the specifics of economic and technological processes and input data streams;

• Design, implement and use automated business process management systems at enterprises;

• Create software tools for manipulating, storing, analyzing big data;

 

Modules for the educational program

• Business and data analysis, algorithms;

• Theory of queuing and enterprise management;

• Computation models and big data analytics;

• Data analytics and entrepreneurship;

• Legal regulations in IT enterprise;

 

 

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 business;

• 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

 

 

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