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Program

Course&Curriculum

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
ADS5001 Basic of Datascience 3 6 Major Master/Doctor 1-8 Applied Data Science - No
This course introduces concepts, issues and problems of Big Data. This course covers issues such as data storage, mining, analysis, visualization, and application in various domains. In addition, you will learn about tools, algorithms, and platforms for dealing with Bigdata. Students gain practical knowledge through field projects or case studies in the fields of business, engineering, sociology and life sciences.
AIM5010 Advanced Reinforcement Learning 3 6 Major Master/Doctor 1-4 Artificial Intelligence - No
Reinforcement learning is one powerful paradigm for an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare. In this class, we will provide a solid introduction to the field of reinforcement learning including Markov decision process, planning by dynamic programming, model-free prediction, model-free control, value function approximation, policy gradient methods, integrating learning and planning, exploration and exploitation.
BHR5021 Regulatory Science Internship 3 6 Major Master/Doctor Biohealth Regulatory Science - No
This course is for students who are planning to participate in an internship program. It is intended (1) to understand how theories and principles of regulatory science are applied in industry or government agencies and (2) to acquire experiences to apply the knowledge of regulatory science learned in school to the evaluation of drug effectiveness in the field.
BHR5026 Introduction to computational omics(Intoduction to bioinformatics) 3 6 Major Master/Doctor Biohealth Regulatory Science - No
Computational omics is driving the collection and analysis of biomedical big data. This course is designed for the graduate students majoring in bioscience and provides a hands-on introduction to the computer-based analysis of genomic and biomolecular data. Students who are interested in taking Advanced computational omics are required to take this course. Major topics include: - Genomic and biomolecular bioinformatic resources - UNIX for bioinformatics - R for Bioinformatics data analysis - Genome informatics - Transcriptomics Students completing this course will be able to evaluate new genomic and biomolecular information using existing software and gain experience in combining bioinformatic approaches to answer specific biological questions.
BTH5005 Regulatory Strategy and Commercialization of Biomedicine 3 6 Major Master/Doctor Korean Yes
This lecture is about 1) the main elements of biopharmaceutical development process and safety management, 2) regulations and guidelines for domestic drug approval review, 3) ICH CTD, IND, ANDA, NDA, IMD, 4) understanding of the fair and drug store And 5) commercialization strategy.
BTH5006 Advanced Biotechnology 3 6 Major Master/Doctor - No
Advanced Biotechnology provides the basis for the application of biological science at the molecular level such as synthesis of DNA, RNA and protein, genome sequencing and analysis, regulation of gene expression, mutagenesis and recombination of DNA, and Omics data analysis. This course also provides advanced knowledge and technologies for human and animal health including molecular diagnostics, protein and gene therapy and vaccines, and for the development of useful products and it's mass production using microorganisms, plants and animals for applications in industry, agriculture, environment and biomedicine.
BTH5007 Protein Engineering 3 6 Major Master/Doctor - No
This lecture introduces basic biochemistry and structural knowledges for protein engineering together with case studies for industrial and medical applications
BTH5008 Advanced Medical Biotechnology 3 6 Major Master/Doctor Korean Yes
Lectures on understanding of drug delivery and diagnostic technologies and applied technologies through convergence between academic fields such as medicine, biotechnology, and nanotechnology.
BTH5009 Microbial Culture Engineering 3 6 Major Master/Doctor - No
The goal is to establish a theoretical concept for optimizing the fermentation process and separation and purification process for the production of microbial metabolites, and it helps to train human resources required for the enzyme and fermentation industry by directly delivering experimental experiences such as fermentation, enzymatic mechanism, purification, and immobilization of microorganisms.
BTH5010 Peptide Drug Development 3 6 Major Master/Doctor - No
This class focuses on peptide therapeutics which are emerging drugs. The conventional peptide chemistry and cutting edge chemistry related to peptide preparation are covered by the lectures and seminar. Preparation and application for therapeutics of peptide libraries are discussed in-depth.
BTH5013 Advanced Biochemistry 3 6 Major Master/Doctor - No
This course aims at students who have completed basic biochemistry to understand what diseases are associated with the modification of biochemical reactions, and how to apply or apply biochemistry in the process of diagnosis and treatment of disease in the future.
BTH5016 Applied Immunology 3 6 Major Master/Doctor - No
This course introduces the newly discovered immunological molecular mechanisms in modern humoral and cellular immune responses. In addition, students will acquire knowledge about their discovery process and application principles.
BTH5017 Microbiome Research 3 6 Major Master/Doctor - No
Lectures on the overall knowledge and applied research methods of microbiome, which has recently been spotlighted in connection with the 4th Industrial Revolution.
BTH5018 Advanced Microbial Chemical Biology 3 6 Major Master/Doctor - No
Lectures from a chemical-biological perspective on how secondary metabolites produced by microorganisms affect other organisms.
BTH5019 Chemoinformatics 3 6 Major Master/Doctor - No
Molecular structures and functions are expressed using computers, and these expressions are applied to new drug design and new material design.