Teaching

Ajou University

SARC 854 — Construction Operation Simulation (건축생산 시뮬레이션 특론, 2019 – Present)
Fundamentals of computer simulations in construction. Topics include Monte-Carlo simulation, Discrete Event Simulation, System Dynamics, and Agent-Based Modeling.
SARC 504 — Machine Learning Basics (건축 기계학습 기초, 2021 – Present)
Advanced statistical analysis methods for graduate students including multiple linear regression, logistic linear regression, multi-level modeling, and structural equation modeling.
SARC 502 — Engineering Data Analytics (엔지니어링 데이터 분석론, 2019 – Present)
Theoretical understanding and practical applications of various machine learning methods including linear models, decision trees, ensemble methods, kernel methods, support vector machine, clustering, etc. in Architecture, Engineering, and Construction.
ARE 496 — Simulations in AEC (건축 시뮬레이션, 2021 – Present)
Understanding of smart construction technologies adopted in practice. The topics include Building Information Model (BIM) applications for construction management, Laser scanning, Photogrammetry, etc.
ARCH 491 — Architectural Engineering Integrated Design Practice (건축공학 종합설계 및 실습, 2019 – Present)
This course is a Capstone Design Course in Architectural Engineering. Students are provided with an opportunity to integrate and apply their knowledge acquired so far to solve a specific engineering problem.
ARCH 470 — Building Construction Estimation and Practice (건축 적산 및 실습, 2019 – Present)
Fundamentals of construction estimating and bidding process. Topics include quantity takeoff, unit cost pricing, bidding, conceptual cost estimating, etc.
ARCH 373 — Construction Management Practice (건설관리 요소설계, 2019 – Present)
This course aims to provide a basic understanding of construction schedule management. The topics include Work Breakdown Structure, Network Scheduling, Resource Levelling, Schedule Monitoring, and Control, etc.
ARCH 372 — Building Construction Practice (건축시공 요소설계, 2021 – Present)
This course aims to provide a basic understanding of building construction practice. Students learn how to develop construction plans for reinforcement concrete work and waterproof work using a real construction project.
CMAT 107 — Statistical Research & Analysis (통계조사분석, 2019 – Present)
Fundamentals of statistical analysis required for engineering students. The topics include basic concepts of probability, sampling distributions, confidence intervals, statistical inference, and regression analysis.

Southern Illinois University

CNST 451 — Estimating and Bidding
Fundamentals of construction estimating and bidding process. Topics include quantity takeoff, unit cost pricing, bidding, conceptual cost estimating, etc.
CNST 341 — Plans and Specifications
Introduction to plans and specifications in construction projects for pre-construction and construction phases of projects.