Teaching

Teaching Portfolio

Courses taught by Prof. Kwanghyun Park

Our teaching spans computer architecture, big data systems, cloud systems, machine learning systems, and advanced AI systems. The portfolio below highlights recent undergraduate and graduate courses taught at Yonsei University, reflecting the lab’s broader research direction in data systems, AI infrastructure, and next-generation computing.

2026 Spring
Current
Architecture of Computers
Undergraduate course on computer architecture and system foundations.
CAS3102
Cloud Systems & ML
Graduate course on cloud infrastructure, scalable systems, and machine learning integration.
CSI6303
2025 Fall
Recent
Big Data
Undergraduate course covering large-scale data processing and analytics foundations.
CAS4121
2025 Spring
4 Courses
Architecture of Computers
Undergraduate systems course on architecture and performance fundamentals.
CAS3102
Cloud Systems & ML
Graduate course on cloud-native systems and machine learning workloads.
CSI6303
Big Data Systems
Graduate-level course on scalable data system design and implementation.
GCA6105 / GEK6220
Recent Advances in AI Systems
Advanced special topics course on modern AI system architectures and optimization.
ICD6004
2024 Fall
1 Course
Object Oriented Programming
Core undergraduate programming course focused on object-oriented design principles.
CCO1102
2024 Spring
2 Courses
Big Data
Undergraduate course on data-intensive systems and analytics fundamentals.
CSI4121
Cloud Systems & ML
Graduate course bridging cloud infrastructure and machine learning systems.
CSI6303
2023 Fall
2 Courses
Software Capstone Design
Project-based course emphasizing end-to-end software system development.
CSI4102
Object Oriented Programming
Foundational undergraduate course on object-oriented programming and design.
CCO1102
2023 Spring
2 Courses
Software Capstone Design
Capstone course focused on practical software engineering and system integration.
CSI4102
Cloud Systems & ML
Graduate-level course on cloud systems and machine learning-driven workloads.
CSI6303
Course codes and official curriculum references are linked to Yonsei University program pages for additional details and catalog information.
Actively Hiring

We are actively recruiting new BDAI members.

Openings are available for M.S. / Ph.D. students, postdoctoral researchers, and undergraduate research interns interested in data and AI-centric research.

M.S. / Ph.D. Postdoc Undergraduate Intern
Apply by Email View Research Areas
Join BDAI Lab

Join Us

We seek motivated students and researchers who want to grow as independent scholars and contribute to high-impact data and AI-centric research.

M.S. / Ph.D. Students

Open Positions

We welcome motivated graduate students who want to grow as independent researchers. Students are expected to identify important problems, design rigorous solutions, conduct careful experiments, and communicate their work through high-quality publications.

  • Develop research taste through paper reading, discussion, and problem formulation
  • Design and evaluate data and AI-driven approaches, and publish at leading venues
  • Collaborate with academic and industry partners on impactful research
Explore detailed BDAI research directions

Postdoctoral Researchers

Open Positions

We welcome postdoctoral researchers interested in leading data and AI-centric research with strong academic and real-world impact. You will have opportunities to define independent research directions, collaborate with international partners, and contribute to high-impact publications.

  • Independent research leadership
  • International and industry collaboration
  • Publication-driven academic career development

Undergraduate Interns

Open Opportunities

Undergraduate students can join research projects and develop hands-on experience in data and AI research.

  • Research-oriented internship opportunities
  • Mentoring from graduate students and faculty
  • Pathway to advanced graduate research
How to Apply

Please email your CV, transcript, and brief research interests to Prof. Kwanghyun Park.

kwanghyun.park@yonsei.ac.kr
+82-2-2123-2718
Engineering Hall 4, D802 / D706
50 Yonsei-ro, Seodaemun-gu, Seoul, Korea
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