Software engineering
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 Software Engineering program is designed to equip students with the skills and knowledge needed to design, develop, and maintain complex software systems using engineering principles. The curriculum covers a range of topics including software design, programming languages, data structures, software testing, and project management, while also emphasizing problem-solving, teamwork, and effective communication. Graduates are prepared for various roles in the technology industry, such as software developers, systems analysts, and quality assurance engineers, and gain hands-on experience through projects and internships, ensuring they are ready to meet the demands of the modern software development landscape.
- Demonstrate proficiency in multiple programming languages and software development tools.
- Design, implement, and evaluate software solutions that meet specific requirements.
- Apply software engineering principles and methodologies to design and develop software systems.
- Create software architectures that are scalable, maintainable, and efficient.
- Analyze complex problems, identify and define the computing requirements appropriate to their solution.
- Employ appropriate data structures and algorithms to solve computational problems.
- Develop and execute test plans to ensure software functionality, performance, and reliability.
- Apply techniques for software quality assurance, including automated testing and code reviews.
- Communicate effectively with both technical and non-technical stakeholders through written documentation and oral presentations.
- Engage in continuous professional development and stay updated with emerging technologies and practices in software engineering.
- Integrate theoretical knowledge with practical experience through projects, internships, or cooperative education to solve real-world problems.
| Name of discipline | Short description of discipline | Credits |
| Еntrepreneurship | Course is designed to provide students with an in-depth understanding of entrepreneurship. The course focuses on the unique challenges and opportunities that arise when starting and managing IT-related ventures, and provides students with the knowledge, skills, and mindset required to successfully navigate the dynamic landscape of the industry as entrepreneurs. | 5 |
| Ecology | This course is designed to foster an understanding of the interconnectedness between organisms and their environment, aiming to cultivate environmental awareness and stewardship. Participants will explore topics such as ecosystems, biodiversity, conservation, pollution, and sustainable living practices. This course aims to empower individuals to recognize their role in shaping the health of the planet and to inspire them to take proactive measures to protect and preserve the natural world for future generations. | 5 |
| Economy | The course provides a comprehensive overview of the principles, systems, and dynamics that govern the production, distribution, and consumption of goods and services within society. Through the study of topics such as macroeconomics, microeconomics, market structures, and economic policies, participants gain insights into the functioning of economies at local, national, and global levels. The aim of this course is to equip learners with the knowledge and analytical tools necessary to understand economic phenomena, make informed decisions, and contribute to economic development and prosperity. | 5 |
| Financial literacy | The course is designed to provide students with essential knowledge and skills for managing personal finances effectively. It covers a broad range of topics, including the basics of budgeting, saving, and investing, as well as understanding credit and debt management. Students will learn about the various financial products and services available, such as bank accounts, loans, mortgages, and insurance. | 5 |
| Fundamentals of anti-corruption culture | The course equips students with a foundational understanding of legal theories and principles, focusing on current legislation and the legal system. It covers the primary legal frameworks of the contemporary world, including the norms of law and legal interactions. The course also delves into the legal positions of individuals, detailing their rights, obligations, and liabilities. | 5 |
| General Security | The course provides fundamental knowledge and practices essential for ensuring the safety and well-being of individuals in various environments. This course aims to equip participants with the necessary skills to identify and respond to potential hazards, emergencies, and threats to life. Participants will learn about fire safety, emergency evacuation procedures, first aid basics, and general safety protocols, enabling them to mitigate risks and protect themselves and others in everyday situations. | 5 |
| Law | The course provides the necessary knowledge of the theory of basic legal concepts and basic information about the current legislation, as well as the system of law; the basic legal systems of our time; the rules of law and legal relations; the legal status of the individual, rights, duties and responsibilities; labor, family and civil rights and duties of citizens; justice; offenses and legal responsibility. | 5 |
| Research Methods | The course provides students with a comprehensive understanding of the principles, methods and processes involved in conducting research in various disciplines such as information systems. Through a combination of theoretical learning and practical application, students learn to effectively design, implement and evaluate scientific research. | 5 |
| Database Management Systems 1 | This course focuses on developing advanced skills in SQL and NoSQL databases, with an emphasis on practical application. Students will begin by learning how to write complex SQL queries, including inner queries and joins. They will also learn how to effectively normalize a database to increase efficiency and reduce redundancy. | 5 |
| Discrete Mathematics | The course teaches: Principles of calculus. Elements of combinatorics. Relations. Functions. Statement logic. Generating functions. Repeatability. Calculations. | 5 |
| Fundamentals of Programming | The course is aimed at the formation of theoretical knowledge and skills among students on the algorithmization of computational processes and the creation of programs in a programming language (optional) to solve engineering, information and logical problems. Know the basic concepts of programming, the concepts of data types, algorithmic structures and methods of working with them. | 5 |
| English Language 1 | This course introduces students to the fundamentals of the English language, including vocabulary, grammar, and basic conversational skills. Through interactive lessons and cultural activities, students develop proficiency in reading, writing, listening, and speaking in English. The course aims to lay a solid foundation for further language learning and cultural exploration. | 5 |
| English Language 2 | This course builds upon the foundational skills learned in English Language 1, focusing on expanding vocabulary, grammar knowledge, and proficiency in communication. Students delve deeper into complex language structures and cultural nuances through immersive activities and discussions. By engaging with authentic materials and interactive exercises, students further develop their language skills and cultural understanding. | 5 |
| Intorduction to algorithms | This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. This course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. | 5 |
| Linear Algebra | The course teaches: Systems of linear equations. Matrices. Determinants. Vector space. Linear operators. Eigenvalues and vectors. Jordan forms. Quadratic forms. Applications to continuous math. | 5 |
| Mathematics for Information Systems 1 | This course is designed to provide a solid foundation in mathematical concepts and techniques relevant to the field of information systems. Participants will explore topics such as algebra, calculus, discrete mathematics, and probability theory, with a focus on their applications in solving problems related to data analysis, algorithm design, and system modeling. The aim of This course is to equip learners with the mathematical skills and reasoning abilities necessary to analyze and optimize information systems, laying the groundwork for more advanced studies and professional practice in the field. By mastering these mathematical principles, participants will be able to make informed decisions, develop efficient algorithms, and effectively address challenges in information system design and implementation. | 5 |
| Probability and Mathematical Statictics | The course teaches: Processing and analysis of primary statistics. Statistics as a science. Grouping. Variational series and their characteristics. Dispersion. Fundamentals of the mathematical theory of sampling. Testing statistical hypotheses. Particle analysis. Correlation analysis. Regression analysis. Planning and processing active experiments. Planning and processing a passive experiment. Methodology of scientific research. Methods of scientific knowledge. Physical experiment. Planning and processing a passive experiment. Planning and processing active experiments. | 5 |
| Programming Technologies and Educational Practice | This course covers the basic APIs you use for design object oriented applications using java. This course also covers writing database programs using jdbc. Use This course to further develop your skills using the Java language. | 5 |
| Research tools and methods | This course which is directed to improve the knowledge of students about the science in IT, where students are collabarating in the teams and do meta analysis of the articles which is related to their research area. | 5 |
| Software Architecture and Design Pattens | This course delves into the principles and methodologies behind designing robust, scalable, and maintainable software systems. Participants will explore various architectural styles, design patterns, and best practices for creating software solutions that meet functional and non-functional requirements effectively. The aim of This course is to equip learners with the knowledge and skills to design software architectures that are flexible, modular, and adaptable to changing business needs. By understanding and applying design patterns, participants can enhance the quality, performance, and maintainability of their software projects, ultimately delivering better outcomes for stakeholders. | 5 |
| Turkish language 1 (A1 level) | The aim of the course is to help the students to learn the Turkish language alphabet. Students will be able to use everyday words, such as greetings, farewells, and dating. They will be able to introduce themselves and family members. Students will also learn the names of countries and nations around the world in Turkish, as well as the names of months and days of the week. They will be able to describe seasons and ask about the time. They will be able to use of easy grammatical constructions, memorized words and phrases on the subject of the Turkish language. Students will form the skills to speaking briefly on easy topics, talking about themselves, making requests, asking questions, as well as talking about oneself and others, what they do, where they live. The course strengthens knowledge of grammar, features of the Turkish language for practical use. Students can freely express their thoughts by making sentences on a free topic in Turkish. | 4 |
| Turkish language 2 (A1 level) | The aim of the course is to develop students’ skills in critical thinking, public speaking, and Turkish language proficiency through the practice of debating on various topics. By participating in the club, students will learn how to construct persuasive arguments, research and analyze information effectively, and deliver presentations with confidence in Turkish. Ultimately, the course aims to foster an environment that encourages respectful and constructive dialogue while also promoting a deeper understanding of important social, cultural, and political issues in Turkish society. | 4 |
| Allgemeinw. Wahlmodul | This is a general elective course that offers students the flexibility to choose courses based on their interests or academic requirements. Students can select from a variety of elective courses across different disciplines to tailor their education to their specific goals and preferences. This module allows students to explore diverse topics, gain additional skills, or deepen their knowledge in specific areas outside of their primary field of study. | 5 |
| Artificial Intelligence | This course introduces participants to the theory, algorithms, and applications of AI, aiming to provide a comprehensive understanding of this rapidly evolving field. Participants will explore topics such as machine learning, neural networks, natural language processing, and computer vision. The aim of This course is to equip learners with the foundational knowledge and practical skills necessary to develop AI-powered solutions that can solve complex problems across various domains. By the end of This course, participants will be able to apply AI techniques to analyze data, automate tasks, and make intelligent decisions, contributing to advancements in technology and innovation. | 5 |
| AWS Cloud Computing | This course about how students learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. They explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. | 5 |
| Business Process Modelling | This course is designed to provide an overview of business process modelling theory and practice. In this course, students will learn the fundamentals of business process modeling and analytics, including concepts such as process models, requirements, and product development. This course will help to prepare students for future BA positions.This course aims to help students cultivate skillful approach to business analytics | 3 |
| Computer networks 1 | Сourse designed with integration of Cisco Certified Entry Technician (CCENT) certification. This course covers Computer Networks foundations, including OSI and TCP/IP networking models switching and VLAN and interVLAN technologies, basics of security in Computer Networks (ssh, password encryptions). Course will be on traditional lecture-practice fashion. Online videos in this courses will be provided to let students get knowledge after course. All students will be officially enrolled in the biggest online courseroom – netacad.com, where they will be able to get learning material such as online textbook, laboratory works on simulator and in real equipment, interactive tasks, and YouTube channel that was prepared specially for this course. Certificates and vouchers will be distributed for students who successfully completed this course. | 5 |
| Data Science | This course provides a comprehensive introduction to extracting insights from large datasets using statistical and computational methods. Students learn data wrangling, machine learning algorithms, and data visualization techniques to analyze complex data sets. Through hands-on projects and real-world applications, the course equips students with the skills necessary to tackle data-driven challenges in various domains. | 5 |
| Design, Communication and Presentation | This course focuses on developing skills in visual communication, graphic design principles, and effective presentation techniques. Students learn to create impactful visual content, convey messages effectively, and deliver engaging presentations across various mediums. The course emphasizes the importance of design aesthetics, clarity in communication, and persuasive delivery. | 5 |
| Digital Ethics | This course explores ethical considerations surrounding technology and digital interactions. Students examine issues such as privacy, data security, online behavior, and the societal impact of emerging technologies. Through critical inquiry, the course aims to foster ethical awareness and responsible decision-making in the digital age. | 5 |
| Financial Accounting | This course covers the principles and practices of recording, summarizing, and reporting financial transactions. Students learn to prepare financial statements, analyze financial performance, and interpret accounting information. Through theoretical learning and practical applications, they acquire skills essential for understanding and communicating the financial health of an organization. | 5 |
| Fundamentals of Corporate Finance | This course provides an introduction to key concepts and principles in managing financial decisions within corporations. Students learn about capital budgeting, risk management, and financial analysis techniques. Through case studies and practical applications, the course aims to equip students with the skills needed to make informed financial decisions in a corporate setting. | 5 |
| Interdisciplinary Software Development Project | This course involves collaborative teamwork to develop software solutions for real-world problems. Students from diverse backgrounds work together to design, implement, and deploy software systems. Through hands-on experience and interdisciplinary collaboration, students gain practical skills in software development and project management. | 5 |
| Introduction to Business Administration | This course provides an overview of key concepts and principles in managing organizations. Students explore topics such as organizational structure, leadership, and strategic management. Through case studies and practical exercises, they develop foundational skills essential for effective business leadership and management. | 5 |
| Introduction to Procurement-, Production- and Logistics-Management | This course provides an overview of key concepts and principles in managing supply chain operations. Students learn about procurement strategies, production planning, inventory management, and logistics optimization techniques. Through case studies and practical exercises, students develop foundational skills essential for effective supply chain management. | 5 |
| Introduction to Software Engineering | This course provides an overview of principles and practices in developing software systems. Students learn about software development lifecycle, requirements analysis, and design methodologies. Through theoretical study and practical projects, students gain foundational knowledge and skills essential for software engineering. | 5 |
| IT security and Risk Management | The course teaches: Introduction to Bayesian Networks. Progressive Bayesian networks. Building Bayesian networks. Numerical variables and continuous distribution functions. Modeling operational risk. Modeling system reliability. Bayes and the rule. | 5 |
| Principles of Business Information Technology | This course introduces students to fundamental concepts and applications of IT in business settings. Topics include database management, software applications, and information systems analysis. Through theoretical learning and practical exercises, students gain skills necessary for leveraging technology to improve business operations. | 5 |
| Principles of Marketing and E-Commerce | This course introduces students to foundational concepts and strategies in marketing, with a focus on digital platforms and online commerce. Students learn about consumer behavior, market analysis, and digital marketing techniques to effectively promote products and services in the digital marketplace. Through case studies and practical exercises, students develop skills in e-commerce management and digital marketing essential for navigating modern business landscapes. | 5 |
| Principles of Web Development | This course introduces students to fundamental concepts and techniques in creating dynamic websites and web applications. Students learn about HTML, CSS, JavaScript, and other essential tools to design and develop responsive and user-friendly web interfaces. Through hands-on projects, they gain practical experience in building websites that adhere to industry standards and best practices. | 5 |
| Process Management | This course explores methods and strategies for optimizing business processes to enhance efficiency and effectiveness. Students learn techniques such as process mapping, analysis, and improvement to streamline workflows and achieve organizational goals. Through case studies and practical exercises, students develop skills in process design and management essential for driving organizational success. | 5 |
| Senior Project | This course a capstone course that allows students to apply their cumulative knowledge and skills to a significant project in their field of study. Students work independently or in teams under the guidance of faculty mentors to complete a project that demonstrates their expertise and readiness for graduation. Through research, design, and implementation, students showcase their abilities and contribute to the advancement of their discipline. | 5 |
| Startups Theory | This course explores the fundamentals of creating and managing startup ventures. Students examine topics such as ideation, business model development, market analysis, and funding strategies. Through case studies and interactive discussions, students gain insights into the challenges and opportunities inherent in entrepreneurship and startup ecosystems. | 5 |
Graduates of the Software Engineering program have strong employability due to their comprehensive understanding of software development principles, practical experience with industry-standard tools, and proficiency in multiple programming languages. They are well-equipped to take on roles such as software developers, systems analysts, quality assurance engineers, and project managers across various industries including technology, finance, healthcare, and more. Their ability to design, implement, and maintain software systems, coupled with skills in problem-solving, teamwork, and effective communication, makes them valuable assets to employers in a rapidly evolving digital landscape.
The Program Educational Objectives of the Software Engineering program are to prepare graduates to become successful software engineers who excel in designing, developing, and maintaining software systems, while demonstrating leadership and teamwork skills in multidisciplinary environments. Graduates are expected to engage in continuous learning and adapt to technological advancements, uphold ethical and social responsibilities, contribute to innovation through effective problem-solving, and communicate technical concepts clearly. Additionally, they are encouraged to pursue advanced education and professional development to further enhance their expertise and career growth.
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