'[MED7005] AI and Big Data for Biomedical Research' course opens for the 2024 fall semester. 
This course available to undergraduate / master's / doctoral students and non-medical majors are also welcome. If you are interested in fields of AI and Big Data, please check the information below. 

Professor: Joo Sang Lee

Time: Tuesdays 9:30~12:00

Location: AI classroom, 3rd Floor of Bldg. 71 (Medicine) 

Language: English

Overview: 
This class is open for both undergraduate students and graduate students. We will invite expert data scientists and AI researchers dedicated to biomedical and healthcare research in Sungkyunkwan University and other institutions to cover the most up-to-date research topics and methodology in the field. We believe the best way to learn how to perform research is to perform mentored research. The class aims to provide students with hands-on experience in AI/data science-based biomedical and healthcare research by executing term projects. The students will form a team of 1-4 members with a goal to write a research paper. Each team will be guided by the instructor to follow the basic steps to establish experimentally or clinically testable hypotheses based on AI/data science approaches.

Objectives: 
This course aims to expose the students to the current approaches of artificial intelligence and data science in biomedical and healthcare research. This class will broadly cover the basics of bioinformatics, data science, and artificial intelligence with strong emphasis on the applications to biomedical and healthcare research. The basic mathematical and algorithmic background will be introduced, and the current research trends will be reviewed. The students are expected to have hands-on experience with artificial intelligence and data science approaches by participating in term projects in the class with other students as a team.

Further information: joosang.lee@skku.edu 

Thanks.