Business Information Systems
Degree
Bachelor of Information and Communication Technologies
Program length
4 years
Treshold score for state scholarship
120
Threshold score for paid department
85
ECTS
240
Level of English
B1 (Intermediate)
The aim of the double degree program between HOF University of Applied Sciences in Germany and Suleyman Demirel University in Kazakhstan is to provide students with a holistic educational experience in IT sphere combining educational methodologies of both universities. This program aims to develop a deep understanding of information systems and their role in modern organizations, establish a strong foundation in business principles, equip students with technical skills in database management, software development, and network infrastructure, enhance critical thinking and problem-solving abilities, cultivate effective communication and collaboration skills, instill a global perspective, teach students to evaluate risks and opportunities associated with emerging technologies, explore ethical and legal considerations related to information systems and data management, develop leadership and management skills, prepare students for various career opportunities in IT consulting, business analysis, project management, and technology entrepreneurship, and foster cultural understanding to navigate global collaborations effectively.
- To develop a comprehensive understanding of information systems and their role in modern organizations, including the ability to analyze, design, and implement effective information systems solutions.
- To gain a solid foundation in business principles and practices, with a focus on how information systems can be leveraged to support strategic decision-making and enhance organizational performance.
- To acquire technical skills related to database management, software development, and network infrastructure, along with the ability to apply these skills in a business context to solve real-world problems.
- To enhance critical thinking and problem-solving abilities through This coursework that integrates theoretical knowledge with practical applications in the field of information technology and business management.
- To cultivate effective communication and collaboration skills by working on interdisciplinary projects that require teamwork and coordination between technical and business-oriented team members.
- To develop a global perspective on information systems and business practices, with opportunities to study international business trends, cross-cultural communication, and the impact of globalization on technology-driven organizations.
- To learn how to evaluate and assess the risks and opportunities associated with emerging technologies such as artificial intelligence, blockchain, and the Internet of Things, and understand how these innovations can be harnessed to drive business growth and innovation.
- To explore ethical and legal considerations related to information systems and data management, including issues of privacy, security, intellectual property, and compliance with regulatory requirements.
- To acquire leadership and management skills that are essential for guiding technology projects, leading cross-functional teams, and making strategic decisions that align IT initiatives with organizational goals and objectives.
- To prepare for a wide range of career opportunities in areas such as IT consulting, business analysis, project management, systems development, and technology entrepreneurship, with the ability to adapt to the evolving demands of the digital economy and pursue lifelong learning and professional development in the field.
- To undestand the cultural fostered through exposure to diverse linguistic nuances, enabling IT students to navigate global collaborations and multicultural environments effectively.
| AE- Area Elective | |||||
| Code | Title | th | pr | cr | ects |
| CSS 216 | Mobile Programming | 2 | 1+0 | 3 | 5 |
| INF 228 | UX/UI design | 2 | 1+0 | 3 | 5 |
| INF 304 | Data collection and analysis | 2 | 1+0 | 3 | 5 |
| INF 314 | Computer networks 2 | 1 | 2+0 | 3 | 5 |
| INF 316 | Web front | 2 | 1+0 | 3 | 5 |
| INF 317 | Python for data analysis | 2 | 1+0 | 3 | 5 |
| INF 318 | Introduction to Testing | 2 | 1+0 | 3 | 5 |
| INF 319 | Algorithms Advanced | 2 | 1+0 | 3 | 5 |
| INF 321 | Machine Learning | 2 | 1+0 | 3 | 5 |
| INF 322 | Graphic Design | 0 | 3+0 | 3 | 5 |
| INF 328 | 3D modeling | 1 | 2+0 | 3 | 5 |
| INF 330 | Information storage management and virtualization | 2 | 1+0 | 3 | 5 |
| INF 345 | Fundamentals of DevOps | 2 | 1+0 | 3 | 5 |
| INF 347 | Fundamentals of Cyber Security | 1 | 2+0 | 3 | 5 |
| INF 357 | Introduction to Unity programming | 2 | 2+0 | 4 | 5 |
| INF 359 | Game Design | 2 | 1+0 | 3 | 5 |
| INF 234 | Mobile Application Development 2 | 2 | 1+0 | 3 | 5 |
| INF 332 | Enterprise Architecture | 2 | 1+0 | 3 | 5 |
| INF 356 | Game Development 1 | 1 | 2+0 | 3 | 5 |
| INF 362 | Design for Manufacture | 1 | 2+0 | 3 | 5 |
| INF 367 | 3D Animation And Visual Effects | 1 | 2+0 | 3 | 5 |
| INF 368 | The Go programming language | 1 | 2+0 | 3 | 5 |
| INF 369 | Data visuallisation and storytelling | 2 | 1+0 | 3 | 5 |
| INF 371 | Automation in Testing | 2 | 1+0 | 3 | 5 |
| INF 373 | Web back | 2 | 1+0 | 3 | 5 |
| INF 374 | Business Process Modelling | 2 | 1+0 | 3 | 5 |
| INF 375 | Artificial Intelligence | 2 | 1+0 | 3 | 5 |
| INF 377 | Automation Testing (INF new)e | 1 | 2+0 | 3 | 5 |
| INF 379 | Introduction to self-driving cars | 2 | 1+0 | 3 | 5 |
| INF 390 | Advanced DevOps | 2 | 1+0 | 3 | 5 |
| INF 391 | Management in IT Ops | 3 | 0+0 | 3 | 5 |
| INF 392 | Blockchain technology | 2 | 1+0 | 3 | 5 |
| INF 423 | Statistics and Visualization for Data Analysis | 2 | 1+0 | 3 | 5 |
| INF 427 | Game Development 2 | 2 | 1+0 | 3 | 5 |
| INF 416 | Extended Reality | 2 | 1+0 | 3 | 5 |
| INF 452 | Engineering and computer graphics | 2 | 1+0 | 3 | 5 |
| CSS 486 | Industrial practice 3 | 0 | 3+0 | 3 | 6 |
| CSS 495 | Pre-graduation practice | 0 | 3+0 | 3 | 6 |
| NTE – Non Theoretical Elective | |||||
| Code | Title | th | pr | cr | ects |
| CSS 479 | Writing and defending a diploma thesis, diploma project or preparing and passing a comprehensive exam | 0 | 6+0 | 6 | 8 |
| CSS 487 | Writing and defending a diploma thesis, diploma project or preparing and passing a comprehensive exam | 0 | 6+0 | 6 | 8 |
| RC – Requisite Courses | |||||
| Code | Title | th | pr | cr | ects |
| MDE 001 | General English (A1 level) | 0 | 5+0 | 5 | 6 |
| MDE 002 | General English (A2 level) | 0 | 5+0 | 5 | 6 |
| MDE 003 | General English (B1 level) | 0 | 5+0 | 5 | 6 |
Graduates of the Business Information Systems program will be highly sought after in various IT and business sectors. With a strong foundation in both technical and business principles, they will be well-prepared for roles in IT consulting, business analysis, project management, and technology entrepreneurship. Their global perspective and expertise in emerging technologies will enable them to navigate complex, cross-cultural business environments and drive innovation in modern organizations.
The Business Information Systems program aims to equip students with a comprehensive understanding of information systems and their application in business environments. The program’s educational objectives include developing technical proficiency in database management, software development, and network infrastructure, while also fostering critical thinking, problem-solving, and leadership skills. Graduates will be prepared to excel in dynamic IT and business roles, driving innovation and effectively managing technology-driven projects in global settings.
Akerke Alseitova
Senior Lecturer
AKERKE ALSEITOVA
akerke.alseitova@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
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, 2019 – present
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
Courses
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
Research Interests
IT Education, Personalization, Gamification, Data Mining in Education
Publications
1. ‘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.
Projects
Internal grant of SDU University, 2021
Aliya Zhunis
Senior Lecturer
ALIYA ZHUNIS
aliya.zhunis@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
MA of Electronics and Communication Engineering, Kocaeli University, Turkey, 2019
BA of Radioengineering, Electronics and Telecommunications, International Information Technology University, KZ, 2
Working Experience
Lecturer at Computer Sciences Department, SDU University, Kaskelen, KZ, 2020 – present
Internalization coordinator of Engineering and Natural Sciences Faculty, SDU University, Kaskelen, KZ, 2021 – 2023
Certificates
Certified Peer Reviewer Course; Researcher Academy; 23 February 2024; 4 hours
Wintered 2024: Transform Teaching, Inspire Learning; SDU University; 9-23 January 2024; 72 hours
Reviewer of papers at 16th ICECCO Conference; SDU University; 25-26 November 2021
Participated in Organization of 16th ICECCO Conference; SDU University; 25-26 November 2021
Courses
NF 106 Information and Communications Technologies (CS and IS faculty), Bs
INF 313 Computer Networks 1, Bs
INF 440 Digital Image Processing, Bs
INF 425 Wireless networks, Bs
CSS 230 Digital Design, Bs
CSS 250 Electronics, Bs
MAT 122 Algorithms and Programming 1, Bs
MDE 173 Information and Communications Technologies, Bs
Research Interests
Aftificial Intelligence
Publications
1. Epileptic Seizure Prediction in EEG Signals using EMD and DWT (2019), IEEE, 1-4, M. Bekbalanova and Z. Duisebekov
Ali Baigelenov
Senior Lecturer
ALI BAIGELENOV
ali.baigelenov@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD Candidate in Technology (2024). Purdue University, USA
MS in Computer Graphics Technology (2017). Purdue University, USA
BS in Computer Graphics Technology (2015). Purdue University, USA
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Feb 2024 – present
Courses
INF 232 Web programming: back end, Bs
CSS 206 Database Management Systems 1, Bs
CSS 489 Diploma preparation, Bs
Research Interests
Human-computer interaction, information visualization, cognition, design, education
Publications
1. Parsons, P. C., Shukla, P. C., Baigelenov, A., & Gray, C. M. (2023). Developing Framing Judgment Ability: Student Perceptions from a Graduate UX Design Program. In Proceedings of the 5th Annual Symposium on HCI Education (pp. 23-32).
2. Parsons, P., Gray, C. M., Baigelenov, A., & Carr, I. (2020). Design judgment in data visualization practice. arXiv preprint arXiv:2009.02628.
3. Parsons, P., Baigelenov, A., Hung, Y. H., & Schrank, C. (2020). What Design Methods do DataVis Practitioners Know and Use?. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-8).
4. Parsons, P., Hung, Y. H., & Baigelenov, A. (2018). Toward an Analysis of Practitioner-Oriented Resources for Visualization Design. In IEEE VIS ’18: Proceedings of the 2018 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2
5. Baigelenov, A., & Parsons, P. (2018). Interactivity Factors in Visualization-Based Exploratory Search.
6. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA ’18). ACM, New York, NY, USA, Paper LBW009, 6 pages. DOI: https://doi.org/10.1145/3170427.3188558 (Acceptance rate: 39.8%)
7. Saenz, M., Baigelenov, A., Hung, Y. H., & Parsons, P. (2017). Reexamining the cognitive utility of 3D visualizations using augmented reality holograms. In Workshop on Immersive Analytics: Exploring Future Interaction and Visualization Technologies for Data Analytics (Immersive 2017), pp. 5.
8. Baigelenov, A., Saenz, M., Hung, Y. H., & Parsons, P. (2017). Toward an Understanding of Observational Advantages in Information Visualization. In IEEE VIS ’17: Proceedings of the 2017 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2.
Projects
Sriver Award | USA, August 2018
Daniel and Martina Lewis Graduate Award | USA, August 2018
Kazakhstan’s Governmental Scholarship “Bolashak” | Kazakhstan, January 2010
Binara Imankulova
Senior Lecturer
BINARA IMANKULOVA
binara.imankulova@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MS in Electronics and nanoelectronics. Tomsk State University of Control Systems and Radioelectronics, RF
BS in Radiotechnics, telecommunication and electronics. Almaty University of Power Engineering and Telecommunications, KZ
Certificates
IoT Fundamentals: IoT Security, Cisco, 2019
CCNA Cybersecurity Operations, Cisco, 2019
Linux for Developers, Coursera, 2022
Robotic Process Automation, IBM, 2023
Blockchain engineering training, Blockchain center, 72 hours, 2023
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2023 – present
Scientific Intern, Hochschule Schmalkalden, Germany Senior Lecturer, IIT University, Almaty, Kazakhstan, Aug 2018 – present
IT Project Manager, Documentolog, Almaty, KZ Lecturer, Satbayev University, Almaty, Kazakhstan, Aug 2017 – May 2023
Project Manager, Green Rise, Almaty, KZ
IPTV Engineer, Eltex Alatau, Almaty, KZ
Junior Researcher (Intern), Crystal T., Tomsk, Russia
Courses
CSS 252 Electronics, Bs
CSS 254 Digital Design, Bs
INF 106 ICT, Bs
Research Interests
Internet of Things, Robotics
Publications
1. B.B. Imankulova. Transmission, storage and preprocessing of data received from sensors using lora technology. (2024) AUPET Bulletin. 1(64), 16-24. Co-authors: L.A. Kozina, N.T. Duzbayev, S.T. Amanzholova. https://doi.org/10.51775/2790-0886_2024_64_1_16
2. Imankulova B. Development And Research of A Two-Contour Solar System In The Lorawan Network. (2023). WSEAS Transactions on Heat and Mass Transfer. 18 (5). 51-58 pp. Co-authors: Kunelbayev M., Sundetov T., Tyulepberdinova G., Issabayeva S., Sagimbayeva L..
3. B. Imankulova. Data security, modeling and visualization of data from IoT devices. (2022) Scientific Journal of Astana IT University. 10, Co-authors: S. Alpar, S. Amanzholova. DOI: 10.37943/ACWT2121
4. Imankulova B.B.. Software and technical aspects of data collection from end nodes: problems and prospects. (2020) AUPET Bulletin. 4(51), 164-172. doi: 10.51775/1999-9801_2020_51_4_164. Co-authors: Amanzholova S.T., Duisebekova K.S.
5. Imankulova B.B. Research of data transmission problems in automated systems of commercial accounting energy resources. (2019) Herald of the Kazakh-British technical university. 16(3), 249-252.
Projects
Grant funding for scientific research on the topic: “Software and hardware complex for analysis and monitoring of climatic and ecological changes in the environment” AR05134597, 2020
Assem Kaliyeva
Senior Lecturer
ASSEM KALIYEVA
assem.kaliyeva@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD Physics-Pedagogy, Kazakh National Pedagogical University named after Abai, KZ , 2019
MA Physics, D.Serikbayev East Kazakhstan State Technical University, KZ, 2005
BA Engineer-Physics, S.Amanzholova East Kazakhstan State University, KZ, 2003
Certificates
National conference’ Astana – 29 Mart 2019.
Working Experience
Physics teacher, D.Serikbayev University, Oskemen, 2003-2005
Senior Lecturer, S.Amanzholov University, Oskepen, 2005-2012
Senior Lecturer, SDU University, Kaskelen, 2012-present
Courses
CSS 112 – Bachelor level – Physics
CSS 152 – Bachelor level – Physics 1
Research Interests
Physics
Publications
1. University Improving the Problem of In-depth learning in the Electrodynamics Department // Improving the problem of in-depth training of the Department of electrodynamics of the University, Abai Kazakh National Pedagogical University. “Messenger”. -2018. -№1(61). P.181-186.
2. Methodology for solving problems of electrodynamics using vectors in the course of physics// Methodology for solving problems in electrodynamics using vectors in the course of physics, Abai Kazakh National Pedagogical University. “Messenger”. -2023.- №2(402). Pp. 134-147
3. Computer-assisted methods of physical calculations at a higher education institution // Computer methods of physical experiments in higher educational institutions, “Bulletin of the Kazakh Academy of transport and Communications named after M. Tynyshbayev” scientific journal -2023. – December.
4. The Development of Education Methods of Electricity and Magnetism Discipline in Higher Educational Institutions / / electricity and magnetism in Higher Education development of educational methods of the discipline. Conference ICECCO. -2018. -P. 14. Conference ICECCO. -2018. -P. 14. ISBN 978-1-7281-0133-0
5. General characteristics of teaching methods in electrodynamics // General solutions of teaching methods of the discipline electrodynamics. “URALIntellects.r.XVI International materials of the scientific and practical conference. – Prague, 2018.”ASP-Inter”. – Tyumen, Russia. P.65-67.
Conference
National conference’ Astana – 29 Mart 2019
Books
Physics 1(2016), Kaskelen, SDU, Guverdzhin S.
Physics 2(2017), Kaskelen, SDU
Membership of professional organisation
EMCD 2015-2017
Zhumaniyaz Mamatnabiyev
Senior Lecturer
ZHUMANIYAZ MAMATNABIYEV
zhumaniyaz.mamatnabiyev@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MSc in Computing Systems and Software, SDU University, Kaskelen, Kazakhstan, 2019
BSc in Computing Systems and Software, SDU University, Kaskelen, Kazakhstan, 2017
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
Courses
CSS 356 Introduction to IoT, Bs
CSS 524 Networking in IoT, Ms
CSS 641 IoT in Industry, Ms
CSS 372 IoT Data Management and Analytics, Bs
CSS 215 Introduction to algorithms, Bs
CSS 220 Advanced algorithms, Bs
CSS 514 Advanced Digital Design, Ms
CSS 410 Research Tools and Methods, Bs
INF 231 Web Programming: Front End, Bs
Research Interests
Educational robots, IoT Application in education
Publications
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. Suleyman Demirel 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. RFID Technology as a Part of Monitoring Systems. SDU Bulletin: Natural and Technical Sciences. 2020/1 (52), pp. 100-108, ISSN 2709-2631
9. Survey of IoT Hardware Platforms Used for Monitoring Systems. Vestnik KazNRTU, 2019, no. 6 (136), pp. 273-279, ISSN: 1680-9211
10. 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.
Conference
‘Investigating the Effectiveness of Robotics in Computer Science Education.’ ERASMUS+ ACeSYRI Workshop under the Int. Conf. on Information and Digital Technologies at the University of Zilina, Zilina, Slovakia, June 20-22, 2023
Yelnur Mutaliyev
Senior Lecturer
YELNUR MUTALIYEV
yelnur.mutaliyev@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MS in Computer Science, 2023
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2023 – present.
Assistant-Instructor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2021 – Sep 2023.
Courses
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
INF 106 Information and Communications Technologies, Bs
Sadyk Ualikhan
Senior Lecturer
SADYK UALIKHAN
sadyk.ualikhan@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD in Computer Science, SDU University, Kaskelen, Kazakhstan, 2022-2025
PhD in Data Science, Shanghai Jiao Tong University,Shanghai, China, 2021-2023
MSc in Computer Science, SDU University, Kaskelen, Kazakhstan, 2019-2021
BSc in Radioengineering, Electronics and Telecommunications, Karaganda State University,Karaganda, Kazakhstan
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2022 – present.
Assistant-Instructor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2019 – Sep 2022.
Courses
CSS 152 Physics 1, Bs
CSS 112 Physics 1, Bs
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
CSS 410 Research tools and methods, Bs
CSS 489 Diploma preparation, Bs
MAT 370 Methods of Scientific research, Bs
INF 405 Personal Development in Computer Science, Bs
Research Interests
Data Science, Machine Learning, Deep Learning, Computer Vision
Publications
1. Sadyk, U., Turan, C., & Baimukashev, R. (2023, June). Overview of Deep Learning Models for Banknote Recognition. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-5). IEEE.
2. Sadyk, U., Baimukashev, R., Bozshina, A., & Turan, C. KZ-BD: Dataset of Kazakhstan Banknotes with Annotations. Available at SSRN 4606449.
3. Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023, June). Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
4. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). MBTI-based recommendation system for extracurricular activities for high school students. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
5. Kutzhan, A., Shaikym, A., & Sadyk, U. (2023, June). A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
6. Sadyk, U., Duisebekov, Z., Sapargali, N., & Amirzhanov, A. (2021, November). Effective Ways to Pass Exams in Programming Disciplines and Optimize the Process of Analyzing Results. Case Study: Suleyman Demirel University. In 2021 16th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-3). IEEE.
Conference
1. “Transfer Learning in Banknote Classification: A Comparative Analysis of Fine-tuned CNNs – AlexNet, GoogLeNet, and VGG16 on the Kazakhstan Banknotes Dataset”. The 4th International Workshop on ACeSYRI: Modern Experience for PhD students and Young Researchers, Paris, France, September 25-29, 2023
2. “Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
3. “MBTI-based recommendation system for extracurricular activities for high school students”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
4. “A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
Projects
Bolashak 2023 scholarship
Membership of professional organisations
Expert in Computer Science & Data Science Accreditation by ASIIN Accreditation Agency in Dusseldorf, Germany, and ACQUIN Accreditation Agency in Bayreuth, Germany
Duman Telman
Senior Lecturer
DUMAN TELMAN
duman.telman@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
BS in Computer Sciences, SDU University, KZ, 2021
MS in Computer Sciences, SDU University, KZ, 2023
PhD in Software Engineering, Satbayev University, KZ, current
Working Experience
Cybersecurity track leader, , SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Senior Lecturer, , SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Coordinator of Practice in Computer Science department, , SDU University, Kazakhstan, Kaskelen,2021 – 2023
Assistant teacher, SDU University, Kazakhstan, Kaskelen, Sep 2021 – Aug 2023
Courses
INF 231 Web programming: front end, Bs
INF 106 Information and Communications Technologies, Bs
INF 228 UX/UI design, Bs
INF 370 User Interface Design, Bs
MAT 122 Algorithms and programming 1, Bs
MAT 122 Algorithms and programming 1, Bs
MCM 104 Algorithms and programming 1, Bs
MDE 173 Information and Communication Technologies, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Natural language processing (NLP)
Projects
ACeSYRI project, Europe, 2023-2024
Zhadyra Zhalgassova
Teaching Assistant
ZHADYRA ZHALGASSOVA
zhadyra.zhalgassova@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, 2024
BS in Information Systems, SDU University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
INF 202 Database Management Systems 1, Bs
MAT 122 Algorithms and programming 1, Bs
MAT 106 Information and Communication Technologies, Bs
CSS 152 Physics 1, Bs
CSS 328 Introduction to Data Analysis, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Machine learning, Data Science
Publications
1. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). “MBTI-based recommendation system for extracurricular activities for high school students.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
2. Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023, June). “Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
3. Serek, A., Saimassay, G., Zhaparov, M., Giang, C. N., Hoang, V. T., & Zhalgassova, Z. (2023, June). “Analysis of Self-esteem on Students’ Performance in Online Programming Competition.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
4. Saimassay, G., Zhaparov, M., & Zhalgassova, Z. (2023, June). “Analysis of Programming Education at the Primary Education Level.” SDU Bulletin: Natural and Technical Sciences, 63(2), 14-23. ISSN 2709-2631.
5. Sarsenbay, S., Turan, C., Varlamis, I., & Zhalgassova, Z. “A Novel Job Recommendation System Using the Benefits of the Gallup Test.” Available at SSRN 4687922. (preprint)
Yernar Akhmetbek
Teaching Assistant
YERNAR AKHMETBEK
yernar.akhmetbek@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BS in Computer Science, SDU University, KZ, 2022
Certificates
Coursera Certificate, Machine learning specialization
Coursera Certificate, Deep learning specialization
Working Experience
Research Assistant, SDU University, Kazakhstan, Kaskelen, Sep 2022 – Present
Junior Android Developer, DNA Payments, England, Oct 2022 – Oct 2023
Intern Android Developer, Dev House, Kazakhstan, Almaty, Jan 2022 – Apr 2022
Courses
NF 106 ICT, Bs
INF 423 Statistics and Data visualization, Bs
CSS 226 Backend programming, Bs
CSS 328 Introduction to Data analysis, Bs
CSS 324 Introduction to Machine Learning, Bs
Research Interests
Machine learning
Publications
1. Mustakhov, T., Akhmetbek, Y., & Bogyrbayeva, A. (2023). “Deep Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problem.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO). IEEE.
2. Akhmetbek, Y., & Mustakhov, T. (2023). “Stochastic Dynamic Vehicle Routing Problem Survey.” SDU Khabarwysy.
Projects
Kazakhstan Ministry Grant funding, Kazakhstan, 2023
Mukhtar Amirkumar
Teaching Assistant
MUKHTAR AMIRKUMAR
mukhtar.amirkumar@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BA in Computer Systems and Software, Kazakh-British Technical University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
INF 202 DBMS 1, Bs
INF 305 DBMS 2, Bs
CSS 206 Database Management Systems 1, Bs
MAT 122 Algorithms and programming 1, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Natural Language Processing, Machine Learning
Publications
1. Amirkumar, M., Orynbekova, K., Talasbek, A., Ayazbayev, D., & Cankurt, S. (2024, May). Comparative Effectiveness of Rule-Based and Machine Learning Methods in Sentiment Analysis of Kazakh Language Texts. Scientific Journal of Astana IT University.
2. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). MBTI-based Recommendation System for Extracurricular Activities for High School Students. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
Zhaniya Medeuova
Teaching Assistant
ZHANIYA MEDEUOVA
zhaniya.medeuova@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Intern Frontend Developer, Pimmer Company, Almaty, KZ, Jan 2023 – Jun 2023
Courses
MAT 122 Algorithms and programming 1, Bs
MAT 124 Algorithms and programming 2, Bs
Research Interests
Machine Learning, Deep Learning
Amina Shaiky
Teaching Assistant
AMINA SHAIKY
amina.shaikym@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BA in Computer Science, Nazarbayev University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
CSS 105 Fundamentals of Programming 1, Bs
CSS 108 Java 2,
Bs MDE 173 ICT, Bs
Research Interests
Machine Learning, Artificial Intelligence, Recommendation System
Publications
1. Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. (2023, June). In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE. Shaikym, A., Zhalgassova, Z., & Sadyk, U.
2. MBTI-based recommendation system for extracurricular activities for high school students. (2023, June). In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B.
3. A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance.(2023, June) In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE. Kutzhan, A., Shaikym, A., & Sadyk, U.
Membership of professional organisations
ACM Woman Lab
Nuray Dauletkhan
Teaching Assistant
NURAY DAULETKHAN
nuray.dauletkhan@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Sciences, SDU University, KZ, current
Bachelor in Media Technologies, Astana IT University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MAT 122 Algorithms and programming 1, Bs
MDE 173 Information and Communication Technologies
Research Interests
Machine Learning
Dina Kengesbay
Teaching Assistant
DINA KENGESBAY
dina.kengesbay@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MDE 173 ICT, Bs
INF 423 Visualisation for Data analysis, Bs
Research Interests
Machine Learning, Data Analysis
Assel Yembergenova
Teaching Assistant
ASSEL YEMBERGENOVA
assel.yembergenova@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Certificates
Academic IELTS certification 6.0
Working Experience
Assistant instructor and Beta Carrot coordinator, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MAT 122 Algorithms and programming 1, Bs
MAT 124 Algorithms and programming 2, Bs
Research Interests
Machine Learning, Deep Learning
Maksat Maratov
Teaching Assistant
MAKSAT MARATOV
maksat.maratov@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Information System, SDU University, KZ, current
BA in Software engineering, Astana IT University, KZ, 2023
Working Experience
Android Developer, MN Partners. Astana KZ. 06.01.22 – 15.02.23
Assistant instructor, SDU University, Kaskelen, Sep 2023 – Present
Courses
CSS 108 Fundamentals of Programming 2, Bs
CSS 105 Fundamentals of Programming 1, Bs
CSS 217 Software Architecture and Design Patterns, Bs
Research Interests
Machine Learning, NLU, NLP