MICROQUALIFICATION EDUCATIONAL PROGRAM «ARTIFICIAL INTELLIGENCE SPECIALIST. BASIC LEVEL»

Educational program passport

Field of education: Information and communication technologies
Field of study: Telecommunications
Group of educational programs: Communications and communication technologies
License number for the direction of training: KZ67LAA00019559
Volume of credits: 21
Registration number: MCCE-2023/0006
Registration date: 05/04/2023
Languages of instruction: Russian, English
Partner organization: Samsung Electronics Central Eurasia

Brief description of the microqualification educational program

Main direction of the EP:
mastering the principles of organization and functioning of intelligent systems using machine learning methods and algorithms, in particular the basic level when working with a robot, as well as obtaining practical skills in their design.

The purpose of the microqualification EP:
Training in modern technologies in the field of artificial intelligence and their application in robotic systems

Objectives of the EP microqualification:
– studying the methodology of logical, functional, object-oriented programming in high-level languages;
– develop expert intelligent systems using robot-based machine learning methods;
– study neural network design methods in artificial intelligence problems;
– development of skills in working with industrial robots at the level of creating intelligent systems;
– acquire theoretical and practical knowledge in the field of artificial intelligence in general and, in particular, in the field of creating algorithms capable of learning.

FORMED LEARNING OUTCOMES

PO1. Be able to create software products in the field of artificial intelligence using machine learning methods.
PO2. Be able to manage intelligent systems based on robotic complexes.
PO3. Be able to apply the methodologies of modern programming languages when working with intelligent systems using neural network methods.
PO4. Be able to use artificial intelligence technologies and navigate various types of intelligent systems and methods of knowledge representation;
PO5. Be able to develop neural network technologies for various tasks when working with robotic devices.
PO6. Be able to create intelligent systems and use modern software tools to collect, organize, process and present data.
PO7. Be able to understand, process and reflect on new and established research results in the field of artificial intelligence in working with robotic systems.

INFORMATION ABOUT DISCIPLINES

№	Name of the discipline	Brief description of the discipline	Credits	Acad.hours	Formed competencies (codes)
1.	Introduction to Programming (С++)	The course is designed to learn the basics of programming and debugging programs. The informal definition of the concept of algorithm, variables, data types of the C++ language, iterative constructions, branching in the code, gaining access to local and remote files, working with functions in the C++ language are considered.	5	150	ПК1, ПК4, ПК6
	Advanced programming on C/C++	Algorithms and data structures in C/C++ programming, the syntax of a modern programming language, control statements, functions, procedures and working with files are studied. The fundamental principles of developing program texts and their translation in modern programming environments are considered. The fundamental principles and skills of designing programs with a multi-window interface, methods and methods for eliminating errors if they exist in the process of writing algorithms and program codes are given. Explores advanced programming in C/C++ using a systematic approach to multitasking, file system, interprocessor communication and error handling.	5	150	ПК1, ПК4, ПК6
2.	Introduction to Intelligent Systems	The course is aimed at developing students’ understanding of digital electronics, the basics of digital circuitry, the principles of operation and design of digital devices. The course examines the basic methods of describing and synthesizing logic circuits, modern means of developing digital devices.	5	120	ПК2, ПК4, ПК6
	Machine learning	The purpose of the course is to gain theoretical and practical knowledge in the field of artificial intelligence in general, and in particular in the construction of algorithms that can learn. The course examines the basic algorithms of machine learning, various approaches and technologies for data analysis, their qualities, features and influence in various fields of science and technology. As a result of mastering the course, students will be able to use machine learning methods to visualize their data, build graphs, and present results qualitatively.	5	120	ПК2, ПК4, ПК5, ПК6
3.	Final examination	The purpose of the student’s final certification is to evaluate the learning outcomes and professional competencies achieved upon completion of the study of the microqualification educational program	1	30