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GAPP Airport Management

      GAPP Airport Management

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      Global Aviation Professional Program
✈ Course Goal

The course aims to provide an overview of the key elements of Airport Management: Business, Economics, Marketing, Sustainability, Operational Theories and Practices. More specifically, this course targets to present a comprehensive framework of the airport industry and global trends shaping the future airport system along with best practice and problematic cases.


✈ Learning Objectives

◼ Equip high-level of industrial insight on the overall aviation sectors and understand critical roles of the airport management,
◼ Recognize current challenges of post-pandemic business environment and a shift of business paradigm shaping a future aviation system, and
◼ Cultivate professionals with deep knowledge of theoretical and practical airport management system to actively respond to rapidly changing business and technology environment.


✈ Course Structure

◼ Module 1: Overview of the aviation industry and roles of airports
◼ Module 2: Airport business framework and post pandemic paradigm shift
◼ Module 3: Airport competition and strategic marketing
◼ Module 4: Airport growth strategy and capacity development
◼ Module 5: Airport technology and innovative operations


✈ Course Benefits

Through this course, trainees will acquire expertise to successfully manage airport business and operations, making collaborative and effective decisions with related stakeholders on complex issues.


✈ Course Schedule / Format

◼ 1st Session: 4th to 8th November 2024 / 5days, Virtual Classroom(GMT +9)
◼ 2nd Session : TBD
※ Note: The course schedules are subject to change depending on unavoidable internal and external conditions.


✈ Course Fee: 800$ (USD) 1,100,000(KRW)

The course fee payment method will be notified by KAU when the registration of this course is made through KAU's LMS.


✈ Course Registration and fee payment

Please click the registration link below for the registration of this course: Click here!
Contact : gapp@kau.ac.kr / +82-2-300-0274


✈ Biography:

Instructor:

Dr. Woojin Choi | Ph.D in Aviation & Aerospace MBA


Education:

Dr. Choi holds a bachelor’s degree in architectural engineering from Yonsei University, Korea, an Aerospace MBS from ESC Toulouse Business School (Grandes écoles), France and a PhD in Aviation from Embry-Riddle Aeronautical University.


Career highlight:

Dr. Choi is an airport management and aviation professional with 27 years’ experience throughout the project life cycle; from planning, design, engineering, procurement, execution, commissioning to operations with a wide spectrum of global experience in the Far East, Southeast Asia, South Asia, Oceania and Middle East.

He has also been active in contributing to the aviation industry to provide lecturing, consulting, and research, mainly with a focus on air transportation system, airport management and capacity expansion, process optimization, and financial planning.

He recently earned his doctoral degree in aviation at Embry-Riddle Aeronautical University and joined the Western Sydney Airport development project as a lead project engineer.


Publications:

Woo, G. S., Truong, D., & Choi, W. (2020). Visual detection of small unmanned aircraft system: Modeling the limits of human pilots. Journal of Intelligent & Robotic Systems, 99(3-4), 933-947.
Truong, D., & Choi, W. (2020). Using machine learning algorithms to predict the risk of small unmanned aircraft system violations in the national airspace system. Journal of Air Transport Management, 86, 101822.
Choi, W., & Hampton, S. (2020). Scenario-based strategic planning for future civil vertical take-off and landing (VTOL) transport. Journal of aviation/aerospace Education and Research.
Choi, W., O’Connor, M., & Truong, D. (2019). Predicting the U.S. airline operating profitability using machine learning algorithms. International Journal of Aviation, Aeronautics, and Aerospace, 6(5),1-31.
Richardson, C., Truong, D., & Choi, W. (2019). Examination of factors related to pilot acceptance behaviors toward the automatic ground collision avoidance system in fighter aircraft operations. The International Journal of Aerospace Psychology, 29, 28-41.