Bachelor of Information and Communication Technologies

Program length

4 years

Treshold score for state scholarship


Threshold score for paid department




Level of English

B1 (Intermediate)

This program includes a special Beta-Career program, which gives students an opportunity to work in software developing companies. A key feature here is that Beta-Careers are counted as 12-credit courses, and students are evaluated by a company representative. The program contains courses that are located at company offices and delivered by professionals. Currently, these modules are provided by Automato and GreetGo.
The main aim of this program is to enable student-centered learning of programming, analysis of algorithms and data structures, software design patterns, electronics, constructing digital devices and software engineering. 

  • Developing and designing software applications using relevant frameworks, and algorithms;
  • Designing and constructing IoT devices;
  • Implementing machine learning applications by analyzing and cleaning data, implementing algorithms, and analyzing and choosing relevant algorithms results;
  • Working in a group project, communicating effectively

Graduates of this specialty can be employed

  • at the enterprises of various industries;
  • in companies and enterprises which provide technical support and service of computer and microprocessor technology:
  • in companies engaged in information and telecommunication systems;
  • in companies that develop software, applications for mobile operating systems or develop games.

After finishing this specialty, student can work as any expert in IT, whether it is a programmer or a project manager.
Students can work in a large IT companies of Silicon Valley like Google, Facebook, Microsoft or start their startup.

Program Educational Objectives are broad statements that describe what graduates are expected to attain within a few years of graduation. Within a few years of graduation with a bachelor’s degree in Computer Science at SDU University, our graduates are expected to attain one or more of the following career and professional accomplishments in that they will be:

  • Experts in the field of Computer Science with a comprehensive understanding of computer systems and software design and development, their life-cycles, tools, techniques, and methodologies;
  • Highly qualified specialists who are competent, committed, and capable members and leaders of computer and software systems development teams;
  • Innovators who apply their conceptual knowledge and engineering skills and computing knowledge to the design, development, and delivery of state-of-the-art computer systems and software suites with ethical and legal considerations in mind to contribute positively to the betterment of society, and perhaps who even does start-ups and thereby contribute to the economy and provide employment for people;
  • Lifelong learners who advance their knowledge through various recognized academic and professional programs of study or certification programs and who in a timely manner analyze and remedy the gaps in their knowledge bases on their own.

Student Outcomes are narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the skills, knowledge, and behaviors that students acquire in their matriculation through the program.  By the time you graduate from our undergraduate program of Computer Science you will have achieved the following student outcomes:

  • Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions;
  • Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline;
  • Communicate effectively in a variety of professional contexts;
  • Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles;
  • Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline;
  • Apply computer science theory and software development fundamentals to produce computing-based solutions.

Zhumaniyaz Mamatnabiyev

Senior Lecturer



Senior Lecturer

Degree qualifications
BSc in Computing Systems and Software (2017). SDU University, Kaskelen
MSc in Computing Systems and Software (2019), SDU University, Kaskelen

Working Experience
Teacher, Al-Farabi High School for Gifted Children, Almalybak, Kazakhstan, 2016-2019, Robotics and Programming Teacher
Assistant-instructor, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2017-2019, Advisor
Senior Research Assistant, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2021-2023
Senior Lecturer, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2020-now, Hardware and Operating Systems Track Leader

CSS 356 Introduction to IoT, BS
CSS 524 Networking in IoT, MSc
CSS 641 IoT in Industry, MSc
CSS 372 IoT Data Management and Analytics, BSc
CSS 215 Introduction to algorithms, BSc
CSS 220, Advanced algorithms, BSc
INF 231 Web Programming: Front End, BSc
CSS 514, Advanced Digital Design, MSc
CSS 410, Research Tools and Methods, BSc

1. A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses. Computers, 2024, 13(4), 102.
2. Design and Implementation of an Open-Source Educational Robot for Hands-On Learning Experiences in IoT. Paper presented at 2023 17th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2023, pp. 1-4, doi: 10.1109/ICECCO58239.2023.10146599.
3. Animal Tracking System based on GPS sensor and LPWAN. Paper presented at 2022 International Conference on Smart Information Systems and Technologies (SIST), 2022, pp. 1-4, doi: 10.1109/SIST54437.2022.9945724.
4. Development of Attendance Monitoring System using IoT Technologies. Paper presented at the 16th International Conference on Electronics Computer and Computation (ICECCO 2021), 2021, pp. 1-6, doi: 10.1109/ICECCO53203.2021.9663827.
5. Application of Visible Light Communication (VLC) in various areas: Survey. SDU Bulletin: Natural and Technical Sciences, [S.l.], v. 55, n. 2, p. 11-16, June 2021. ISSN 2709-2631. doi:10.47344/sdubnts.v55i2.539.
6. Comparative Analysis of Sorting Algorithms Used in Competitive Programming. SDU Bulletin: Natural and Technical Sciences, [S.l.], v. 55, n. 2, p. 64-70, June 2021. ISSN 2709-2631. doi:10.47344/sdubnts.v55i2.546.
7. Project-Based Curriculum for Internet of Things Online Course. SDU University Bulletin: Pedagogy and Teaching Methods, [S.l.], v. 55, n. 2, p. 20-25, June 2021. ISSN 2709-264X. Doi: 10.47344/sdu bulletin.v55i2.562.
8. Heart Rate Sensor and Its Applications: Review. Paper presented at the International Conference on Digital World and Engineering Education (ICDWEE), 2021.
9. RFID Technology as a Part of Monitoring Systems. SDU Bulletin: Natural and Technical Sciences. 2020/1 (52), pp. 100-108, ISSN 2709-2631
10. Survey of IoT Hardware Platforms Used for Monitoring Systems. Vestnik KazNRTU, 2019, no. 6 (136), pp. 273-279, ISSN: 1680-9211
11. Development of House Automation System Controlled using IoT Technologies (with R. Suliyev). Paper presented at the 14th International Conference on Electronics, Computer and Computation, ICECCO 2018, pp. 206-212. doi:10.1109/ICECCO.2018.8634734.

Research interests
Educational robots, IoT Application in education

Selcuk Cankurt

Senior lecturer


Senior lecturer

Degree qualifications
Engineering and Information Technologies Faculty in English(2015). International Burch University, Sarajevo, Bosnia and Herzegovina.
Master’s Degree Engineering and Information Technologies Faculty in English (2011). International Burch University, Sarajevo, Bosnia and Herzegovina.
Bachelor’s degree Information Technologies in English (1997), Technical Education Faculty, Marmara University, Istanbul, Turkey.
English Prep School (1992) Marmara University, Istanbul, Turkey.

Working Experience
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, 2021 till now as Senior Lecturer, Head of Information System Department, Coordinator of the PhD and Master Program at Engineering Faculty
Lecturer, Faculty of Engineering and Informatics Ala-Too International University, Bishkek, Kyrgyzstan, 2019 – 2021 as Senior Lecturer and Head of Computer Science Department
Lecturer, Engineering Faculty Tishk International University, Erbil, Iraq, 2015 – 2019 as Senior Lecturer, a founder member and the first coordinator of the School of Graduate Studies.
Senior Teaching Assistant, Engineering Faculty International Burch University, Department of Information Technologies, Sarajevo, Bosnia and Herzegovina, 2013 – 2015 as Senior Teaching Assistant and Department Welfare Coordinator.

INF 337 Deep Learning
CSS 619  Natural Language Processing
CSS 615 Big Data Analytics
CSS 516  Research Tools and Methods
CSS 507 Data Сollection, Wrangling, Analysis and Visualization
CSS 489 Diploma preparation

1. Cankurt, S. & Subaşi A. (2012). Comparison of linear regression and neural network models forecasting tourist arrivals to Turkey. Proceeding of 3rd International Symposium on Sustainable Development, ISSD. Sarajevo, Bosnia and Herzegovina.
2. Cankurt, S. (2016). Tourism Demand Forecasting using Ensembles of Regression Trees. Proceeding of IEEE 8th International Conference on Intelligent Systems, IS’16 (pp.702-708). Sofia, Bulgaria, doi: 10.1109/IS.2016.7737388 (Scopus Index)
3. Yıldırım M., Aksu C., Cankurt S. (2016). Performance evaluation of MIMO receivers in two-way decode and forward relaying. Proceeding of 2nd International Engineering Conference on Developments in Civil & Computer Engineering Applications, IEC2016 (pp. 154-161), ISSN 2409 – 6997 (Print). Erbil, Iraq.
4. Cankurt S.&Yasin M. (2018). Modelling energy demand forecasting using neural networks with univariate time series. Proceeding of 4th International Engineering Conference on Developments in Civil & Computer Engineering Applications, IEC2018 (pp.341-349). Erbil, Iraq, DOI : 10.23918/iec2018.26
5. Subasi A., Cankurt S.(2019) Prediction of default payment of credit card clients using Data Mining Techniques, Proceeding of IEEE International Engineering Conference (IEC2019) (pp.115-120) DOI : 10.1109/IEC47844.2019.8950597 (Scopus Index)
6. MS Gaso, S Cankurt, A Subasi (2021) Electromyography Signal Classification Using Deep Learning. Proceeding of IEEE 16th International Conference on Electronics DOI : 10.1109/ICECCO53203.2021.9663803 (Scopus Index)
7. M I Gulbarga, S Cankurt and et. al. (2023) Deep Learning (DL) Dense Classifier with Long Short-Term Memory Encoder Detection and Classification against Network Attacks.
Books: Database Basics with MS Access, Zambak press, Istanbul, 2012, ISBN: 978-605-112-382-0

Research interests
Data science, Data lake, Big data, Big data analytics, Deep learning and Natural language processing

Akerke Alseitova

Senior lecturer


Senior lecturer

Educational background
Candidate of PhD in Computer Sciences. SDU University, KZ
MSc in Computing systems and Software (2013).SDU University, KZ
BS in Information Systems(2011). SDU University, KZ

Working Experience
Senior Lecturer in SDU University, Kaskelen (since 2019)
Computer Sciences Instructor in NIS, Almaty (2018-2019)
Computer science teacher and alumni coordinator in BIL, Taraz (2013-2018)
Computer science teacher and alumni coordinator in BIL, Shymkent (2012-2013)
Teacher of computer science in International School of Nurorda, Oskemen (2011-2012)

CSS 105 – Bachalor level – Fundamentals of Programming
CSS 108 – Bachalor level – Programming Technologies and Educational Practice

Research interests
IT Education, Personalization, Gamification, Data Mining in Education

‘What Forces Us To Gamify The Programming In Higher Education: A Literature Review'(2023). 2023 17th International Conference on Electronics Computer and Computation (ICECCO).Lazzat Tolegen.

Internal grant of SDU University, 2021

Assel Yembergenova

Teaching Assistant


Teaching Assistant

Degree Qualifications
BSc in Information Systems (2023). SDU University

Working Experience
Jas maman, SDU University, Kaskelen, 01.09.2023, Assistant instructor and Beta Carrot coordinator

Academic IELTS certification 6.0

MAT 122 – Algorithms and programming 1
MAT 124 – Algorithms and programming 2

Mohammed Alaa Fadhil Al-hadeethi

Assistant Professor



Assistant Professor

Degree qualifications
PhD in computer science (2023). University of Putra Malaysia, Malaysia
Master in computer science (2017). University of Putra Malaysia, Malaysia
BA (2014). University of Baghdad

Best paper award. (2017), International conference of cloud computing, Sarawak, Malaysia.

Working Experience
Senior lecturer, Al-Turath University, Iraq, Baghdad, Jan 2023, Computer fundamentals
Lecturer, University of Putra Malaysia, Malaysia, 2021, Teacher assistant
Network optimizer, HUAWEI Malaysia, 2016-2017, Drive test optimizer (2G, 3G, and 4G)

CSS-215 – Bachelor – Introduction to algorithms
CSS-228 – Bachelor – Advanced algorithms
CSS-350 – Bachelor – Cloud computing

Research interests
Cloud Computing, Energy Consumption, Data Center, Virtual Machines, Cloud Infrastructure, Cloud Providers, Greenhouse Gas, Heuristic Algorithm, Internet Of Things, Load Balancing, Number Of Migrants, Power Consumption, Task Scheduling, Allocation Algorithm, Allocation Scheme, Ant Colony.

1. Range wise busy checking 2-way imbalanced algorithm for cloudlet allocation in cloud environment, (2018), Journal of Physics: Conference Series, IOP Publishing, 1018, 1, 12018, Alanzy, Mohammed; Latip, Rohaya; Muhammed, Abdullah
2. Load balancing and server consolidation in cloud computing environments: a meta-study, (2019), IEEE Access, IEEE, 7, , 141868-141887, Ala’Anzy, Mohammed; Othman, Mohamed; . Dynamic energy efficient resource allocation strategy for load balancing in fog environment, (2020), IEEE Access, IEEE, 8, , 199829-199839, Rehman, Anees Ur; Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’Anzy, Mohammed Alaa; Othman, Mohamed; Umar, Arif Iqbal; Ahmad, Jamil
3. Optimising Cloud Servers Utilisation Based on Locust-Inspired Algorithm, (2020), 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, , , 23-27, Ala’anzy, Mohammed Alaa; Othman, Mohamed; Hasan, Sazlinah; Ghaleb, Safwan M; Latip, Rohaya
4. Scientific workflows management and scheduling in cloud computing: taxonomy, prospects, and challenges, (2021), IEEE Access, IEEE, 9, , 53491-53508, Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’anzy, Mohammed Alaa; Othman, Mohamed; Latip, Rohaya; Zaman, Sardar Khaliq Uz; Umar, Arif Iqbal
5. Mapping and Consolidation of VMs Using Locust-Inspired Algorithms for Green Cloud Computing, (2022), Neural Processing Letters, Springer US New York, 54, 1, 405-421, Ala’anzy, Mohammed Alaa; Othman, Mohamed
6. Fault-tolerant and data-intensive resource scheduling and management for scientific applications in cloud computing, (2021), Sensors, MDPI, 21, 21, 7238, Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’anzy, Mohammed Alaa; Othman, Mohamed; Umar, Arif Iqbal
7. Locust inspired algorithm for cloudlet scheduling in cloud computing environments, (2021), Sensors, MDPI, 21, 21, 7308, Ala’anzy, Mohammed Alaa; Othman, Mohamed; Hanapi, Zurina Mohd; Alrshah, Mohamed A
8. An exploration to graphics processing unit spot price prediction, (2022), Cluster Computing

Internal grant, SDU grant, 2024-2025

Scholarships  &  awards
“BOTA” Foundation”, Kazakh-British Technical University, Kazakhstan, 2011
JSC ”Center for International Programs”, Boston University, USA, 2018

Gulfarida Tulemissova

Associate Professor


Associate Professor

Degree qualifications
Nostrification as PhD in Computer Science
Doctor competition of a scientific degree, the candidate of technical sciences on a specialty 05.13.18 – «Mathematical modeling, numerical methods and program complexes», dissertation on the theme «Development of a mathematical model of characteristics’ calculation for the effective functioning of the multi-service network», Institute of Automation and Information Technologies of the National Academy of Sciences of the Kyrgyz Republic.
M.Sc. (Automated control systems), Kazakh s Polytechnic University, June 1978, Alma-Ata, USSR.

Certificate of IELTS – 09/09/2023, 16. Central Asia University Partnerships Program (UniCEN), Advanced Research Methodology Workshop, April 27-28, 2023, Tashkent. Uzbekistan, 15. Certificate of AceSJRI. Course of Academy English, April 2022

Working Experience
28 years of academic experience in leading Kazakh universities.
18 years of technical experience in the IT-structures of various companies in Kazakhstan.
10 years of business cooperation with the companies of the Federal Republic of Germany and the Principality of Liechtenstein, Japan in the professional field of computer technology and electronics.
10 years of international academic and public activity in professional field of computer technologies and electronics.
Multilingual: Kazakh, Russian, English (Certificate IELTS), and communication skills in Central Asian languages.
September 2018 – present – SDU University, Faculty of Engineering and Natural Sciences, Associate professor of Department Computer Sciences
2017 September – 2018 May, Non-profit joint stock company “K. Satbayev Kazakh National Research Technical University, Ass. professor of Information defence, Military Department
2016 January – 2017 January Non-profit joint stock company “K. Satbayev Kazakh National Research Technical University, Head of the research and technological laboratory “Development and support of the distance education system”, Associate Professor of Computer and programming Engineering.
2013 – 2016 – Almaty Management University, Associate Professor of “Informational Technologies” Department, Staff Research Lab “IT in Education”.
2009-2013 – Kazakh Academy of Labour and Social Relations, Position: Head of the Section “Computer Science and Software”.
2007-2009 Consulting company “Plankion Coach”, Position: IT – manager, coaching manager.
2004 – 2006 – TOO “Mercury”, Almaty, Position: Head of the Department of Information Technology Holding.
Responsibilities: coordination and control of the department, information projects, contracts, quality of the documentation provided. Implementation of technical solutions, preparation of specifications, cost efficiency of automation projects, services, installation, working with design and estimate documentation.
Administration of electronic document management in corporations, preparation of documentation for the implementation of ISO 9001 quality system, IT – audit of the central office and subsidiaries of the holding company, controlling the activities of IT – services holding company. Analysis of Information Systems. Development of normative documents, regulations, job descriptions for IT – department.
Purchase of software and hardware for the holding. Drafting and control IT – budget holding. Work on standards ITIL.
2003 – 2004 – Regional Office for Central Asia, the company «HITACHI», Japan, Position: Manager with corporate customers.
Responsibilities: conclusion and management of contracts with corporate customers for the supply of computer technology, organization of presentations the company’s products in Kazakhstan and Kyrgyzstan, preparation and participation in exhibitions, consulting, advertising, marketing, market for the company.
2001 – 2003 – Regional Office for Central Asia, the international provider company «I-Sat AG», Liechtenstein, Position: Regional Manager.
Responsibilities: conclusion and management of contracts with corporate customers. Development of projects for Kazakhstan wireless Internet users. Advertising and consulting users on the wireless Internet. Advertising Equipment Group Nortell DASA – Germany

CSS – 345 – bachelor level – Advanced computer architecture
CSS – 345 – bachelor level – FPGA programming
CSS 410 – bachelor level -Research tools and methods

Research interests
Internet of Things, FPGA programming, Embedded systems, Artificial Intelligence, Digital Twin.

1. Tulemissova G., Dauren Rakhmetolla, Conceptual approach to the formation of the digital twin of the Destination Earth (first glance) , ICECCO 2023 (The seventeenth International Conference on Electronics Computer and Computation) 1-2 june 2023, SDU- Scopus
2. L. Atymtayeva, M. Kanatov, A. M. A Musleh, Tulemissova G., Fast Facial Expression Recognition System: Selection of Models, International Journal, Applied Mathematics and Information Sciences, Scopus N.17, No. 2, p.375-383, 2023.
3. Altynbekova A., Digital Design: Textbook, Almaty, SDU University, ISBN 978-601-7647-18-6, 2022, 267 p.
4. Gulfarida Tulemissova, Olimzhon Baimuratov, Review of electronic industry in Kazakhstan: conditions and opportunities, International Conference on Electronics Computer and Computation, ICECCO, SDU University, November 25-26, 2021, Kaskelen, Kazakhstan, Scopus
5. Gulfarida Tulemissova, Olimzhon Baimuratov, Using the FPGA platform to protect the multi-agent wireless pipeline sensor network, Proceedings of the 19th European Conference on Cyber Warfare and Security, ECCWS, University of Chester, UK, 25-26 June, 2020. Scopus
6. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev. An Intelligent Approach and Data Management in Active Security Auditing Processes for Web Based Applications, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p.136. – Springer
7. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev and Ardakbek Kungaliyev, Some Issues in the Re-Engineering of Business Processes and Models by Using Intelligent Security Tools, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p. 199. Scopus.
8. Gulfarida Tulemissova,”Case Method for the Conditions of Development of Startups Analysis in the IT Industry in Kazakhstan”, ICMLG 2017, Proceedings of the 5th International Conference on Management Leadership and Governance, University of Witwatersrand, Johannesburg, South Africa, 16-17 March 2017, p.443-452. Scopus.
9. Tulemissova Gulfarida, “Sharing of teaching staff information via QR-code usage”, Proceedings of the 10th European Conference on Information Systems Management (ECISM 2016), University of Évora, Portugal, 8-9 September 2016, p.195-203. Scopus.
10. Tulemissova Gulfarida, The Impact of the IoT and IoE Technologies on Changes of Knowledge Management Strategy, Proceedings of the 8th European Conference on Intellectual Capital, Ca’ Foscari University of Venice, Italy, 12 – 13 May 2016, V.1 ,p.317-325. Scopus.
Books: Tulemissova G. , Altynbekova A., Digital Design: Textbook, Almaty, Suleyman Demirel University, ISBN 978-601-7647-18-6, 2022, 267 p.

Membership of professional organisations
Member of the “Internet of Things” committee of the international non-profit association of the Institute of Electrical and Electronics Engineers – IEEE (Institute of Electrical and Electronics Engineers). 2016 – 2018 – member of the British Academy of Engineering

Maksat Maratov

Teaching Assistant


Teaching Assistant

Degree Qualifications
BA. Software engineering (2023). Astana IT University, KZ

Working Experience
Android developer. MN Partners. Astana KZ 2022-2023

CSS 108 Fundamentals of Programming 2
CSS 105 Fundamentals of Programming 1
CSS 217 Software Architecture and Design Patterns

Research interests

Cemil Turan

Assistant Professor


Senior Research Fellow

Degree qualifications
BCs in Electrical Engineering (1995), Yildiz Technical University, Istanbul, Turkey
MSc in Educational Mathematics, Suleyman Demirel University, Almaty, Kazakhstan
PhD in Electrical and Computer engineering, Mevlana University, Konya, Turkey

Nostrification by Kz as Radiotechnics, Electronics and Telecommunication

Working Experience
PhD, Assoc. Professor-Senior research fellow, SDU, Almaty/KZ, 2022
PhD, Assoc. Professor-Computer Science Department Chair, SDU, Almaty/KZ, 2021-2022
PhD, Assoc. Professor-Instructor, SDU, Almaty/KZ, 2020-2021
PhD, Assoc. Prof. Graduate School Program Coordinator, SDU, Almaty/KZ, 2019-2020
PhD, Assistant Professor-Instructor, SDU, Almaty/KZ, 2016-2019
Senior Lecturer-Instructor, SDU, Almaty/KZ, 2014-2016
PhD Student-Assistant, Mevlana Rumi University, Konya/TR, 2012-2014
Lecturer-Instructor, SDU University (SDU), Almaty/KZ, 2008-2012
Physics Teacher, Kazakh-Turkish Educational Foundation, Kazakhstan (KZ), 1995-2008

2008- : Instructor of ‘Basic Circuit Theory’, ‘Digital Design’, ‘Basic Electronics’, ‘Fundamentals of Electric Circuits’, ‘Microelectronics’, ‘Circuit Technologies’, ‘Linear Algebra and Analytical Geometry’, ‘Research Tools and Methods’ for bachelors; ‘Digital Signal Processing’, ‘Research Tools and Methods in Computer Science’, ‘Writing MSc Thesis’, for MSc; ‘Research Methods and Writing Academic Paper’, ‘Writing PhD Thesis’, ‘Scientific Research Methods’, ‘Academic Writing Essentials’ for PhD.; ‘Computer Vision and Image Analysis’ for MSc.
1995-2008: Teacher of Physics for middle and high school including full content. Teacher of Mathematics and Geometry for high school (partial content), English Terminology of Science for prep classes.

Research interests
Digital Signal Processing, Adaptive Filtering, Computer Vision

International Journals:
1. Sadyk U., Baimukashev R., Bozshina A. and Turan C. “KZ-BD: Dataset of Kazakhstan banknotes with annotations”, Data in Brief (DiB), Volume 53, 2024.
2. Sadyk U., Baimukashev R. and Turan C. “State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem”, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 15, No 1, pp 848-856, 2024.
3. Sadyk U., Makhambet Y., Baimukashev R. and Turan C. ” Comparative Analysis of Machine Learning Approaches in Kazakh Banknote Classification”, Bulletin of Electric Engineering and Informatics (BEEI), newly accepted, 2024.
4. Bazatbekov B., Turan C., Kadyrov S. and Aitimov A. “2D face recognition using PCA and triplet similarity embedding”, Bulletin of Electric Engineering and Informatics (BEEI), Volume 12, No 1, pp 580–586, 2023.
5. Turan C. and Salman M. S. “Zero-Attracting Function Controlled VSSLMS Algorithm with Analysis”, Circuits, Systems, and Signal Processing (CSSP), Springer, Volume 34, Issue 9, pp 3071–3080, 2015.
6. Turan C. and Amirgaliev Y. “A Robust Leaky-LMS Algorithm for Sparse System Identification” Lecture Notes in Computer Science (LNCS), Springer, pp 538-546, 2016.
7. Turan C. and Salman M. S. “A Transform Domain Function Controlled VSSLMS Algorithm for Sparse System Identification”, in World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 11(7), pp 720-724, 2017.
8. Aitimov A., Duisebekov Z., Kadyrov S. and Turan C. “PCA and Projection Based Hand Gesture Recognition”, Journal of Theoretical and Applied Information Technology (JATIT), Volume 99, No 15, pp 3801-3811, 2021.

International Conferences:
1. Ibrahim M. and Turan C. “Deep Learning in Crowd Analysis A Survey of Current Research Trends “, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
2. Sadyk U., Turan C. and Baimukashev R. “Overview of Deep Learning Models for Banknote Recognition”, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
3. Turan C., Orazbayeva N. and Kali V. “Kazakh Facial Phenotype”, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
4. Izbassarov T. and Turan C. “Understanding Authorship Attributions of Kazakh Texts via Distance Measures”, in International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2022.
5. Amenova S., Turan C. and Zarkynbek D. “Android Malware Classification by CNN-LSTM”, in International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2022.
6. Kongratbyev K., Turan C. and Tursunmamatov B. ” Computer Vision Based Pre-processing of Microscopic Images “, in 16th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2021.
7. Kadyrov S., Turan C., Amirzhanov A. and Ozdemir C. ” Speaker Recognition from Spectrogram Images”, in IEEE Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021.
8. Meraliyev B., Kongratbayev K., Bekbalanova M. and Turan C. ” A Computer Vision Supported Investigation on Anxiety-Success Relationship in Educational Processes”, in IEEE Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021.
9. Turan C., Aitimov A., Kynabay B. and Aldabergen A. ” An Enhanced Face Recognition Method for Lighting Problem”, in 15th IEEE International Conference on Electronics Computer and Computation (ICECCO), Abuja, Nigeria, 2019.
Adaptive Filtering for Sparse System Identification, SDU, Kaskelen, Almaty, 2020.

Local researcher in ERASMUS project of Advanced Centre for PhD Students and Young Researchers in Informatics (ACeSYRI), 2020-2023.
PI of state grant project titled ‘Building Efficient Delivery Systems with Neural Combinatorial Optimization’ with a budget of 86M Tenge (~190K $), 2023
PI of SDU internal grant project titled ‘Machine Learning Solutions for the Same Day Delivery Services’ with a budget of 1M Tenge (~2200$), 2023
I won grant and scholarship for Science Lyceum (state) when there are only five of them throughout the country (Turkey), 1986
My student won the 3rd place of Republican Physics Olympiads among 10th classes and 2nd place of Zhautykov Asian Physics Olympiads, 2005
I won the 1st place of Physics Olympiads among physics teachers of Kazakh-Turkish High Schools (~50 teachers), 2006
I won grant and scholarship for Ph.D. in Mevlana Rumi University (Turkey), 2012

Membership of professional organisations
IEEE, 2013

Mukhtar Amirkumar

Teaching Assistant


Teaching Assistant

Degree qualifications
MA in Computer Science (Expected 2024). SDU University, KZ
BA in Computer Systems and Software (2022). Kazakh-British Technical University, KZ
High School Diploma (2018). Kazakh Turkish High School, KZ

Working Experience
Assistant-Instructor, SDU University, Almaty, Sep 2022 – Present
Responsibilities and Achievements: Delivering personalized instruction in SQL and Python courses, providing academic advising, managing departmental responsibilities, offering personalized support to students.

INF 202 – Bs -DBMS1
INF 305 – Bs – DBMS2
CSS 206 – Bs – Database Management Systems 1
MAT 122 – Bs – Algorithms and programming 1
MMS 106 – Bs – Computer graphics programming and Educational Practice

Research interests
Natural Language Processing, Machine Learning.


Program Coordinator

Support the faculty (professors)

1. Support Research Internship Program. Faculty members develop academic curriculum and research at the University. Within the framework of this program SDU provides faculty members with the opportunities to do research abroad. Your donations will cover flight expenses, accommodation and monthly salary from 6 months up to 1 year. SDU also invites professors from abroad to share their knowledge and experience with local faculty and students.
2. Support “Zhas maman” Program. “Zhas maman” program is aimed at developing university human capital by selecting the best SDU graduates and helping them start their academic career as teaching assistants. Young specialists are encouraged to do PhD abroad and get rich research experience from prestigious universities. Teaching assistants are provided with scholarships and professional advise from the faculty.

Support the University

SDU campus is a central place for students educational and recreational activities. University aims to renew its basic infrastructure by building new facilities and substantially renovating existing ones. This includes buildings, roads, utilities, grounds and landscaping, student housing, and information technology resources needed to fully support the University mission. Maintaining up-to-date library resources and research facilities, equipment, and technological tools are also important.

Support talented students

This program is for outstanding students regardless of their welfare. Eligible students have to demonstrate outstanding academic and social achievements. This program is designed to foster professional and personal development of students by giving full or partial grants or providing dormitory. In order to keep the grant during the whole period of its validity the recipient has to meet certain minimum GPA each semester.


Question? Contact us!

Since Infomatrix Asia is an international project competition and current lingua franca is English language, we decided that everything(documentation, presentation, submission) will be in English.

Starting from this year, participation doesn’t give opportunity get max at ENT.

All participants who study at secondary school must participate with their supervisors. Due to the security concerns of the participants.

Mail to (Only technical questions)

Look carefully at category requirements, but common thing is: great presentation, clear documentation, completed project, short video demonstrating your knowledge of English Participants from Kazakhstan should have participated on regional, city, republic project competitions before.

Infomatrix Asia is an independent competition. Therefore, you are free to submit your project to any other competitions.

The participation fee is a required fixed cost that covers: transportation, medals, t-shirts, certificates, food, lodging and so on…


We are inviting participants to stay in our comfortable and modern “Student House” located on the territory of SDU.

The student house of Suleyman Demirel University offers students not only accommodation and meals on the territory of the Smart Campus during their studies, but also the opportunity to improve their social skills and strengthen international relationships.

Do you need help? Contact us!

Бонус ұпай қалай жинауға болады?

Қатысушылардың Instagram желісіндегі парақшасында SPT олимпиадасы туралы қызықты әрі креатив пост жариялау арқылы 1-ден 5-ке дейін бонус ұпайға ие болу мүмкіндігі бар. Пост сурет, мәтін немесе видео сияқты кез келген форматта бола алады.

Шығармашылық шектеу жоқ, қиялыңа ерік бер!
Арманыңды жаз, әңгіме құрастыр, видео түсір, достарыңа мотивация бер,  оларды да қатысуға шақыр!

Бұл – тіпті қосымша 0,5 ұпайдың грант иесі атануда шешуші рөл атқара алатын тұсы. Сондықтан мұндай тамаша мүмкіндікті міндетті түрде пайдалануға кеңес береміз.


  • Қызықты және креативті пост жариялау (мәтін 50 cөзден кем емес, қатысышының өз атынан жазылады)
  • Cуретте @sdukz белгілеу (tag)
  • Хэштег – #spt2020 #sdukz
  • Пост соңында аты-жөнін, кластер мен ЖСН соңғы 6 цифрін хэштег арқылы көрсету (мысалы, Ахметов Айбек, #Кластер5, #123456).
  • Қатысушы парақшасы 10 наурызға дейін ашық болуы керек.

*Посттарды олимпиада ұйымдастырушылары былай бағалайды (жалпы ереже):

▫️1 ұпай:
— Пост жарияланған, талаптарға сай;
▫️2 ұпай:
— Мәтіні өте жақсы жазылған пост;
▫️3 ұпай:
— сапалы түсірілген және монтаждалған видео-пост;
▫️4 және 5 ұпай:
— Көп қаралым жинаған, лайк пен комментарий саны көп сапалы пост. 

Алайда баға беруші посттың сапасына көбірек қарайды. Яғни, тек қана мәтінмен-ақ +5 балл алу мүмкіндігі де бар. Немесе керісінше, көп лайк жинаған пост сапасыз болғандықтан 1 ұпай ғана жинауы мүмкін.

Посттар онлайн тіркелу аяқталғанға дейін қабылданады.

Как заработать бонусные баллы?

Участники имеют возможность заработать от 1 до 5 бонусных баллов, написав интересный и креативный пост об олимпиаде SPT на своей странице в Instagram. Пост может быть в любом формате, как текст, фото или видео.

Творчеству нет предела, дай волю своим фантазиям!
Напиши мечту, сочини рассказ, сними видео, мотивируй своих друзей, пригласи их участвовать вместе!

Это тот самый момент, когда даже 0,5 баллов решают, достоин ты гранта или нет. Поэтому очень советуем воспользоваться этой  возможностью.


  • Опубликовать интересный и креативный пост (с текстом не менее 50 слов, от имени участника)
  • Отметить @sdukz на фото (tag)
  • Хэштег #spt2020 #sdukz
  • Указать в посте ФИО, кластер и последние 6 цифр своего ИИН через хэштег (например, Ахметов Айбек, #кластер2, #123456.
  • Страница участника должна быть открытой до 10 марта.

Посты оцениваются организаторами олимпиады таким образом:

▫️1 балл:
— есть пост, выполнены все условия;
▫️2 балла:
— пост с хорошо написанным текстом;
▫️3 балла:
— интересный пост с качественно снятым и смонтированным видео;
▫️4 и 5 баллов:
— качественные посты с хорошим охватом, количеством лайков и комментариев.

Оценивая посты, организаторы в первую очередь обращают внимание на качество поста. То есть, даже с текстом можно получить максимальный балл. Или наоборот, посты которые набрали тысячи лайкав, могут получить только 1 балл из за плохого качества.

Посты принимаются до завершения онлайн регистрации.


ISPT Registration


«Болашақ» халықаралық стипендиясының екі дүркін иегері. 2011 жылы Англияның Newcastle университетінің магистратурасын Халықаралық мультимедиалық журналистика мамандығы бойынша бітірген. Ал 2021 жылдың наурыз айында Шотландияның Glasgow университетінде үш жылдан астам уақыт бойы жазған докторлық диссертациясын мерзімінен бұрын сәтті қорғап шықты. 1 айдан кейін оған Медиа және мәдени саясат мамандығы бойынша ресми түрде Философия докторы ғылыми атағы берілді. Dr Әсел негізі 1451 жылы қаланған университеттің Мәдени саясатты зерттеу орталығында (Centre for Cultural Policy Research) қызмет еткен. Аты әлемге әйгілі, nationalism ұғымының Ұлыбританияда негізін қалаушылардың бірі Эрнест Геллнерден тәлім алған Филип Слесинджердің шәкірті. Сондай-ақ, ол  магистратура студенттеріне Зерттеу әдістері (Research Methods) пәнінен дәріс оқып, Қазақстаннан тұңғыш рет PhD дәрежесін иеленген маман атанады. 

Докторлық диссертациясы, «Қазақ киносы және ұлт: сыни талдау» тақырыбы, ұлт құрылысы (nation building)  тәсілімдемесі арқылы зерттелген (Kazakh cinema and the nation: a critical analysis – Enlighten: Theses ( Ғылыми еңбекте ол қазақ киносына британ әлеуметтанушы Энтони Смиттің энтосимволизм концепциясы бойынша талдау жасап, қазақ халқының ұлт болып қалыптасуына атажұрттық фильмдердің әсері қаншалықты деген сұраққа жан-жақты жауап беруге ұмтылады. 

Диссертацияның жаңалығы – бұл отандық Еуразия Халықаралық  кинофестивалін академиялық тұрғыдан алғаш рет зерттеп, ғылымның фильм фестивальдері (film festival studies) атты жаңа саласына EurIFF ұғымын тұңғыш рет енгізді (бұл турасында ағылшын тілді ғылымда бір де бір диссертацияны айтағанның өзінде,  ғылыми орта назар аударарлық мақала да жоқтың қасы). Сонымен қатар, осы саланы зерттеп жүрген әлем зерттеушілеріне қазақ киносын, Қазақстанның халықаралық фестивалін ғылыми еңбегі арқылы танымалдандырды. 

Бұған дейін Әсел Қамза «Хабар» арнасында 2006-2010 жж. аралығында  «Азамат» жастар бағдарламасының редакторы, кейіннен продюсері, «Біз айтсақ…» ток-шоуының шеф-редакторы, қазақ және орыс тілінде хабар таратқан «Бизнес мекен» таңғы бағдарламасының сценарисі қызметін атқарып, ондаған тікелей эфирлерде жұмыс жасап, практик-журналист ретінде тәжірибесін толықтырды. Оның ішінде 2008-2009 жылдары «Қазақстанда жасалған» атты отандық өндірушілерді қолдау мақсатында ашылған тележобаның сценарист-редакторы әрі жүргізушісі болып жұмыс істеген. 2011-2014 жылдары «Қазақстан темір жолы» ҰК» АҚ Ішкі протокол және бұқарамен байланыс департаментінде маман деңгейінен бастап, жарнама бөлімінің бастығы позициясына дейін көтеріліп, 160 000-нан астам қызметкері бар  ұлттық компанияның  PR стратегиясын дамытып, үйлестіруге үлес қосқан. 

Сулейман Демирель Университетінде бакалавриат және магистратура шәкірттеріне қазақ және ағылшын тілдерінде Масс коммуникация теориясы, Зерттеу әдістері, Масс коммуникациядағы зерттеу әдістері, Медиа Социология және Бейне композиция пәндерінен сабақ береді. Ұлыбританияда 5 жылға жуық уақыт ішінде жинаған бүкіл өнегесі мен бар тәжірибесін күнделікті дәрісінде пайдалануға тырысады. Студенттеріне сыни ойлауға, сындарлы пікір білдіруге жөн сілтейді. Ғылыми жұмыс жазған кезде, кеңестік кезден келе жатқан дәстүрлі жүйе бойынша, тек ғылыми жетекшінің жөн-жобасын ғана басшылыққа алуды ғана үйретпей, шын мәнінде бүкіл жауапкершілікті өз мойнына алуға, өз бетінше, еркін және тәуелсіз жұмыс істеуге дағдыландырады. 

Мақалалары отандық ғылыми журналдарда жарық көрген. Қазіргі таңда толерантты журналистика, автобиографиялық фильмдерге қатысты зерттеу жұмыстарымен айналысады. 

Өмірлік ұстанымы – талап, сапа, нәтиже!

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