KAMK Engineering studies¶

My engineering studies focuse on artificial intelligence, data science, and modern software development, while building on a strong foundation in mathematics and natural sciences. The comprehensive curriculum combined theoretical knowledge with practical application through project-based learning.

Study modules:

Mathematics and Natural Sciences

Established a solid foundation in statistical mathematics and probability theory, essential for data processing and analysis in ICT engineering applications.

Programming and Software Development – Gained proficiency in multiple programming languages and modern software development methodologies. Developed skills in defining, designing, implementing, testing, and documenting software using various tools and agile development practices. Participated in collaborative technology workshops, working in teams to deliver project outcomes. Data Management – Acquired comprehensive knowledge of the entire data processing pipeline, including data collection, transformation, analysis, and visualization. Studied data security solutions and ethical considerations in data handling, applying this knowledge in AI application projects. Machine Learning and Data Analytics – Developed expertise in machine learning theory, techniques, and tools, with practical application in solving real-world problems. Gained understanding of how data analytics drives business decision-making and created machine learning applications in project work. Artificial Intelligence and Deep Learning – Specialized in advanced AI topics including deep learning, natural language processing, and digital signal processing. Enhanced expertise through industry expert lectures and professional events, culminating in an applied AI project demonstrating practical implementation skills.