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미래를 혁신하고 세계를 선도하는 UST

Inter-University Exchanges

Incoming(Non-UST Students)

Incoming(Non-UST Students)

Applicable Courses

  • Courses that incoming student's original university allows to apply for credit exchange.
    (i.e. Major courses, Field Research, Seminar, Common Core Couses)

Application Period

Application Period - Period, How, 유의사항
Period How 유의사항
  • Spring: Jan ~ Feb
  • Fall: Jul ~ Aug
Check the Credit exchange website of your original university No additional application accepted, but only change and withdrawal of courses accepted.

How to Apply: Follow procedure that your universities has ruled

  • 1. (Incoming Students) Check UST's Credit exchange notice from their universities
  • 2. (Incoming Students) Submit in the application form to the personnel in their universities
  • 3. (Other universities' personnel) Send the list who applied for credit exchange with UST
  • 4. (UST personnel) make temporary ID/PW and notice incoming students
  • 5. (Incoming Students) Course Registration in UST Portal system
게시물 검색
Total 1,225 , page 100 / 123
Name of Class,Professor Name,Campus,Major
NoSubject NumberName of ClassProfessor NameCampusMajor
235 08516 Biomedical Informatics Seon-Kyu Kim KRIBB School Bioscience
234 15701 Biomedical Science Jeong Ah Kim Korea Basic Science Institute Bio-Analytical Science
233 20157 C-ITS Engineering Lee Suk-Ki KICT School Civil and Environmental Engineering
232 02998 Cancer Biology Park Kyung Chan KRIBB School Bioscience
231 14283 Cancer Biology Kim Kwang Seok Korea Institute of Radiological & Medical Sciences Radiological & Medico-Oncological Sciences
230 20106 Cancer & Immunology Application Kang, Min-Jung KIST School Division of Bio-Medical Science & Technology
229 20114 Cellular and Molecular Neuroscience Min Soo Kim KIST School Division of Bio-Medical Science & Technology
228 07890 Chemical Oceanography Kang Dong-Jin KIOST School Ocean Science
227 16171 Contemporary Fuel Cell Materials Song Rak-Hyun Korea Institute of Energy Research Advanced Energy and System Engineering
226 20952 Deep Reinforcement Learning (DRL) KIOST School Ocean Science