Welcome to Taejae Data and AI Hive

Curriculum

Data and AI Skills

Our curriculum envisions a future where technology serves humanity, fostering leaders who combine technical mastery with empathy, ethics, and creativity. By uniting human-centered values, responsible AI governance, and cutting-edge data and AI skills, we prepare students to design smart, sustainable solutions that enhance life and shape a better tomorrow.

Human-centered Mindset

Human Values and Empathy

  • Focuses on cultivating agency, responsibility, and empathy to ensure that technological advancements remain aligned with human values.
  • Encourages a deep awareness of human behavior and the natural environment, fostering a holistic perspective for designing meaningful, inclusive, and sustainable solutions.

Governance, Ethics and Societal Impact

Ethical AI and Social Responsibility

  • Emphasizes the importance of responsible AI use, addressing critical issues like bias, fairness, privacy, and safety.
  • Prepares learners to evaluate the societal and business implications of AI, equipping them to navigate ethical dilemmas and promote equitable, transparent technologies.

Techniques & Applications

From Literacy to Mastery of Advanced Skills

  • Covers data and AI literacy, offering foundational knowledge of algorithms, programming, and data-driven decision-making.
  • Equips learners with practical AI tools and methods, enabling them to apply technical expertise to real-world problems across diverse domains.

Design Thinking and System Perspectives

Creative Problem Solving and Innovation

  • Develops abilities in problem-solving, creativity, and innovation, essential for designing user-centered AI solutions.
  • Integrates design thinking and systems thinking to foster innovative, interdisciplinary approaches that bridge technical performance with human needs.

Three Levels of Mastery

Our curriculum is structured as a progressive framework designed to guide learners from foundational knowledge to advanced expertise and interdisciplinary innovation. Through this three-level approach, students build a solid grounding in data and AI, deepen their mastery of cutting-edge techniques, and apply their skills across diverse domains to create meaningful, human-centered solutions.

Fundamental

Exploring Data and AI

  • The Fundamental category focuses on building a strong foundation in data and AI by introducing core concepts, essential tools, and basic analytical skills. It equips learners with the foundational knowledge necessary to understand and engage with the evolving landscape of intelligent technologies.

Advanced

Expanding Data and AI Mastery

  • The Advanced category deepens learners’ expertise by expanding their mastery of data and AI techniques, advanced algorithms, and real-world applications. It emphasizes hands-on problem-solving, innovation, and the ability to design intelligent systems with greater complexity and impact.

Interdisciplinary

Bridging Data Science and AI Across Domains

  • The Interdisciplinary category focuses on integrating data and AI across diverse domains, fostering creative problem-solving and collaboration. It encourages learners to apply technical expertise in broader contexts, connecting technology with societal and business challenges.