Head of the Department

Akishev Karshiga Maksutovich

Candidate of Technical Sciences, Associate Professor (Associate Professor)

Internal:

164

Email address:

q.akishev@kaztbu.edu.kz

Office :

3/506

About the department

In 2025, the Department of Computer Engineering and Automation was separated from the Department of Information Technology of the Faculty of Technology at the Kazakh University of Technology and Business named after K. Kulazhanov.

The department trains highly qualified, competitive specialists of the new generation with modern knowledge and practical skills in the fields of artificial intelligence, automation, and digital energy systems.

The main goal of the department is to ensure the high quality of the educational process and to promote the development of scientific research in the field of computer engineering and automation.

The department sets the following tasks:

Improvement of educational programs in accordance with the requirements of the labor market and Industry 4.0 standards;
Development of partnerships with enterprises for practice-oriented learning;
Implementation of scientific developments in the real sector of the economy;
Training engineers capable of creating innovative solutions and contributing to the digital transformation of Kazakhstan.

The mission of the department is to train highly qualified specialists with modern knowledge and practical skills in computer engineering, automation of production and information processes, capable of developing and implementing innovative solutions for the digital transformation of industry, energy, transport, and other sectors of the economy.

Teaching staff

For the 2025–2026 academic year, the department has 22 employees, including 12 full-time teachers, 3 external part-time teachers, 3 internal part-time teachers, 4 practice instructors, and 2 educational support staff.

The full-time faculty of the department consists of 1 professor, 1 acting professor, 2 associate professors, 1 assistant professor, 1 PhD, and 6 masters.

The academic staff of the department has a 50% degree-holding rate.

All teachers of the department systematically undergo advanced training courses in both their subjects and teaching methodology.

In addition to educational activities, the department’s teachers are engaged in scientific and research work, publishing articles in international scientific journals indexed in the Scopus and Web of Science databases. Two teachers are heads of scientific and contractual projects.

Training and support staff:

Laboratory assistant – Otkenova D.
Laboratory assistant – Toktar A.

Practitioners:

Smanov T.D.
Bolpakov E.K.

Invited scientists:

Biibosynov B.Y.
Kochegarov I.I.
Karpov V.I.

Academic staff

№	Full Name	Academic Degree	Position
1	Akishev K.M.	Candidate of Technical Sciences (PhD equiv.)	Head of Department
2	Serimbetov	Candidate of Technical Sciences (PhD equiv.)	Dean, Acting Associate Professor
3	Tulegulov A.D.	Candidate of Physico-Mathematical Sciences	Associate Professor
4	Bektenov M.B.	Doctor of Technical Sciences	Professor
5	Nurmagambetov M.Sh.	Candidate of Agricultural Sciences	Acting Professor
6	Alimkhanova A.Zh.	PhD Doctor	Senior Lecturer
7	Zharmagambetova G.M.	Master of Technical Sciences	Senior Lecturer
8	Amangeldina M.A.	Master of Technical Sciences	Senior Lecturer
9	Kuzhukhanova Zh.A.	Master of Technical Sciences	Senior Lecturer
10	Tolegenova A.B.	Master of Technical Sciences	Senior Lecturer
11	Akbarova A.	Master of Technical Sciences	Senior Lecturer
12	Tleubayeva A.O.	Master of Technical Sciences	Senior Lecturer
13	Sattykova B.E.	Master of Technical Sciences	Assistant

Documents of the department

Resume

Resume Aikshev .docx

Resume Tulegulov A.docx

Resume Nurmagambetov.docx

Resume Bektenov L.docx

Resume Alimkhanova.docx

Resume Akbarakova A.docx

Resume Tolegenova A.docx

Resume Sattykova.docx

Resume Amangeldina.docx

Bachelor's Programs

6B06155 Artificial Intelligence

Duration of study: 4 years.

Objective: To train highly qualified specialists with knowledge and skills in the development, implementation and operation of artificial intelligence systems, machine learning and big data analysis. Specialists will be able to solve applied problems using modern AI technologies and automate intelligent processes in various fields.

Degree awarded: Bachelor's degree in Information and Communication Technologies in the educational program 6B06104 "Computer Engineering and Software".

List of specialist positions:

Developer of artificial intelligence systems
Machine Learning Specialist
Big Data Analyst
Natural Language Processing (NLP) Specialist
Computer Vision Engineer
Developer of intelligent systems
Specialist in robotics and automation
Data Scientist

Functions and activities:

Development and implementation of machine learning and deep learning algorithms;
Big data analysis and processing, knowledge extraction and creation of predictive models;
Design and development of intelligent systems and applications;
Testing and optimization of AI models for various applications;
Work with neural networks, computer vision, speech and text recognition;
Implementation and maintenance of intelligent automation systems for business processes.

Basic and specialized disciplines studied:

Introduction to Artificial Intelligence
Machine learning and deep learning
Data analysis and visualization
Natural Language Processing (NLP)
Computer Vision and Pattern Recognition
Python programming for AI
Neural networks and deep learning architectures
Algorithms and data structures
Big data and distributed computing
Robotics and intelligent systems
Ethical and legal aspects of AI
Cloud computing and virtualization
Application of AI in industry and medicine

6B07116 Automation and control

Duration of study: 4 years

Objective: To train competitive graduates with knowledge and skills in the development and implementation of software, administration, and operation of IT infrastructure of computing systems of varying scales.

Degree awarded: Bachelor's degree in Information and Communication Technologies under the educational program 6B07116 “Computer Engineering and Software”.

List of specialist positions:

Software developer
DevOps engineer
Software design specialist
Software testing specialist
System administrator
Mobile application developer
Computer game developer
Database administrator
Software maintenance specialist
Technical documentation specialist
Big data specialist
Quality management specialist

Functions and activities:

In the professional field of software engineering:

Software development, modification, and control;
Designing the structure and content and/or writing computer code;
Creation and maintenance of system software, application software, databases, mobile applications, and services;
Software performance testing under various load conditions;
Identification of security vulnerabilities.

In professional work on digital technologies and computer systems:

Use of software tools and environments for creating digital signal processing systems, robotic complexes, and smart systems;
Assembly and installation of the organization's server equipment;
Configuration and maintenance of the organization's server equipment.

Basic and specialized disciplines studied:

Algorithmization and programming
Algorithms and data structures
Programming in C++
Software development tools
Object-oriented programming: Java
Programming of game applications
Development of web-based applications
Mobile application development
Object-relational databases
Data analysis using R / Big Data
Machine learning using Python
Application development using Go
3D graphics / AR, VR
System programming
Parallel programming
Fundamentals of cybersecurity
Blockchain technology
IT project management
Information theory and coding
Computational algorithms for applied tasks
Machine-oriented programming (Assembler)
Architecture and organization of computer systems
Digital electronics
Network technologies
Programming of microcontrollers
Embedded systems
Architecture and algorithms of robotic systems
Virtualization technologies

6B07133 Digital energy

Duration of study: 4 years

Objective: To train specialists capable of designing, operating, and optimizing digital energy management systems, including intelligent power systems, distributed energy sources, and Smart Grid technologies. Providing competencies in digitalization and automation of energy processes using IT and IoT technologies.

Degree awarded: Bachelor's degree in Information and Communication Technologies in the educational program 6B06104 "Computer Engineering and Software".

List of specialist positions:

Digital Power Systems Engineer
Energy Automation Specialist
Energy Management Engineer
Analyst of Power Systems and Big Data
Internet of Things (IoT) Specialist in the Energy Sector
Designer of Smart Grid Systems
Cybersecurity Engineer of Power Systems
Technical Specialist in Renewable Energy Sources

Functions and activities:

Design and implementation of digital monitoring and management systems for power systems;
Automation and optimization of energy production and distribution processes;
Analysis and forecasting of energy consumption using digital technologies;
Integration of renewable energy sources and storage systems;
Ensuring the safety and sustainability of energy systems;
Development of software and hardware solutions for smart grids and IoT in the energy sector.

Basic and specialized disciplines studied:

Fundamentals of Digital Energy
Automation and Control of Energy Processes
Smart Grid Systems and Smart Grids
The Internet of Things (IoT) in the Energy Sector
Data Analysis and Machine Learning in the Energy Sector
Renewable Energy Sources and Storage
Electric Power Industry and Electric Machines
Cybersecurity of Energy Systems
Programming of Microcontrollers and Embedded Systems
Data Collection and Processing Systems (SCADA)
Digital Transformation Technologies in the Energy Sector
Architecture of Computer Systems and Digital Electronics

Master's Programs

7M07188 Automation and Control

Duration of study: 2 years

Objective: To train masters of technical sciences with engineering and scientific thinking, pedagogical skills, carrying out research and management activities based on methods of building computing and software systems in the field of software engineering.

Degree awarded: Master of Technical Sciences in the educational program 7M06104 "Computer Engineering and Software".

List of specialist positions:

Specialist in the development of high-load applications
Architect of the IT infrastructure
Information technology infrastructure engineer
Cloud IoT systems engineer
IoT systems software engineer
Cloud computing specialist
Project manager in the field of information technology
Software engineer
System engineer
Computer hardware design engineer
Engineer-developer of embedded systems
Programmer-analyst
QA engineer
System architect
System analyst
Software architect
Scientific researcher in the field of ICT

Functions and activities:

Design and development of high-load systems
Administration and operation of software and hardware of highly loaded systems
Ensuring the interaction and management of IoT devices
Organization and coordination of IT projects
Project management of the organization's IT infrastructure
Analysis of software requirements
Software engineering
Writing code and developing software programs
Management of system architecture development

Basic and specialized disciplines studied:

Cloud technologies
Big Data management
Software development technologies for real-time systems
Distributed computing technology
Software testing
Computer vision
Machine learning algorithms
Algorithmic foundations of intelligent systems
Development of decentralized applications
Digital signal processing
Embedded software and systems
Design of mechatronic systems
Organization and planning of scientific research
Theory and technique of scientific experiment in computer engineering

Scientific activity

Faculty members, master’s students, and undergraduates of the department are actively engaged in research activities aimed at advancing modern technologies in automation, computer engineering, and digital control systems.

Main research areas of the department:

Digitalization of industrial and energy systems;
Development and implementation of intelligent control systems;
Modeling and optimization of technological processes;
Industrial IoT platforms and cyber-physical systems;
Artificial intelligence and machine learning methods in control systems;
Security and reliability of automated systems.

The teaching staff of the department effectively use modern digital tools and conduct research and applied projects aligned with the industrial and innovative development priorities of Kazakhstan’s economy.

The results of their research are integrated into the educational process, enriching laboratory and practical training, and contributing to the development of course materials, diploma projects, and master’s theses.

Scientific works of the department’s faculty members — Akhishev K.M., Tulegenov A.D., and Serimbetov B.A. — have been published in national and international journals, including those indexed in Scopus and Web of Science. Their research focuses on the digitalization of control systems, implementation of intelligent technologies, and the development of industrial automated complexes.

Material and technical equipment

Department of Computer Engineering and Automation (C.E.A.) has a modern material and technical base for conducting the educational process. In total, there are 6 classrooms, including:

3 laboratory rooms;
1 computer lab;
2 general-purpose classrooms.

The total area of the educational and laboratory facilities is 319.7 m². All laboratories and classrooms are equipped with the necessary instruments and devices for conducting both educational and research activities.

Laboratory classes are held within the educational programs “Automation and Control,” “Digital Energy,” and “Artificial Intelligence.” The computer lab is equipped with up-to-date computers and has access to the Internet.

The department also has multimedia projectors, interactive whiteboards, and an electronic database of teaching materials actively used by faculty and students in the learning process.

Department classrooms and laboratories:

1/404 — Laboratory of Physics and Electrical Engineering;
1/413 — Classroom;
1/414 — Classroom;
3/505 — Training Laboratory “CHP and Automation”;
3/506 — Training Laboratory “CHP and Automation”;
3/504 — Computer Lab.

Professional practice

In the field of science, innovation and education, the Department of Computer Engineering and Automation cooperates with a number of leading companies, such as: Ekibastuzskaya GRES-1 LLP, Astana Ceramic LLP, EcostroyNII-PV LLP, AG Tech LLP, as well as with universities – L.N. ENU Gumilyov University, ATU, PSU (Russia), RGGU (Russia), Lucknow University (India) and other educational and scientific institutions.

The basis of the production and pre-graduate practices of the students of the department are enterprises and organizations with which contracts have been concluded for the internship of students in educational programs.:

6В07155 – Artificial intelligence;
6В07116 – Automation and control;
6В07133 – Digital energy;
7М07188 – Automation and Control.

Among the department's partners: Ekibastuzskaya GRES-1 LLP, Astana Ceramic LLP, EcostroyNII-PV LLP, AG Tech LLP and others

Internship places are determined depending on the specifics of educational programs and taking into account the possibility of further employment of students.

The department pays great attention to the formation of a list of practice bases, carefully choosing organizations where managers are highly responsible for teaching and accompanying students during practice.

In order to harmonize the content of educational programs of leading Kazakhstani and foreign universities, the university implements an academic mobility program for students.

Academic mobility

Academic mobility is one of the key areas of the university’s international activity. It contributes to improving the quality of education, increasing the effectiveness of research activities among students and academic staff, enhancing their professional, cultural, and educational levels, improving management systems, and establishing both external and internal integration links of the Kazakh University of Technology and Business named after K. Kulazhanov.

To optimize the educational process and ensure student mobility, the formation of curricula provides for the maximum unification of study plans in related specialties, as well as the possibility for students to complete part of their educational program (field of study) at other universities, including foreign partner institutions.

Academic mobility of undergraduate and graduate students includes the mandatory transfer of earned academic credits in accordance with established procedures and may also include the completion of educational or industrial internships at partner institutions.

Department of "Computer Engineering and Automation"