The following courses for secondary students — from basics to advanced — develop programming and application skills for future IT talent.
This course explores advanced Python syntax, data structures and common function modules, combined with project-based learning, practical challenges and real case analysis to consolidate knowledge through application. Python — one of the world's most popular high-level languages — is widely used in data science, AI, machine learning and web development. Students systematically master core and advanced Python skills and gain initial understanding of applications in computer science and AI.
Content covers DSE ICT elective units for thorough exam preparation. Projects include web scraping, data analysis, machine learning, web development and other popular applications.
In an era of digital transformation and rapid AI development, programming is essential core competence for the new generation. Secondary students who master Python early strengthen ICT foundations and better understand latest developments in computer science and AI.
Students gain deep understanding of algorithms and data structures, advanced computational thinking and systematic problem-solving, and firsthand experience of AI and data analysis fundamentals. Diverse projects and collaborative development encourage applying knowledge to real-world problems, strengthening innovative practice and teamwork.
This course teaches S3–S6 students SQL database technology. SQL (Structured Query Language) is the universal language for communicating with, managing and analysing large volumes of information in databases. Through simulated real database competitions, project challenges and case analysis, students systematically master core SQL concepts and advanced query techniques, with initial exposure to data analysis and database design — a solid foundation for exploring and innovating in the data world.
Learn mainstream database systems such as MySQL and PostgreSQL. Includes data visualisation and business intelligence reporting.
Through this course, students deeply understand how data is organised, stored and retrieved, and master efficient extraction, analysis and application of information from large datasets — a major advantage for future tertiary study and data competitions. Learning SQL also develops advanced computational thinking, logical reasoning and systematic problem-solving, and improves analysis and handling of complex real-world data problems.
The following courses for secondary students cover AI programming, natural language processing, school-based assessment and more — developing technical ability comprehensively.
From machine learning fundamentals to deep learning applications — building practical AI development skills. Students use mainstream programming languages and libraries to design and implement smart applications that can 'learn', judge and execute complex tasks, experiencing AI's diverse real-world applications.
Explore large language models and natural language processing. Develop language AI applications and master core technologies of the future.
Systematically complete ICT school-based assessment, ensuring work authenticity and assessment criteria compliance for smooth submission to the HKEAA system.
Guide completion of both parts of DAT school-based assessment, ensuring compliance with assessment criteria and reducing the risk of mark adjustment and sampling review.
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