For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
FBT2009 | Food Engineering | 3 | 6 | Major | Bachelor | 2-3 | Food Science and Biotechnology | - | No |
Fundamentals of heat transfer, fluid flow, evaporation, drying & other unit operation in the food process industries. | |||||||||
FBT3004 | Biofunctional Food | 3 | 6 | Major | Bachelor | 3-4 | Food Science and Biotechnology | Korean | Yes |
Generally, functional food can be defined as any food that has a positive impact on an individual`s health, physical performance or state of mind in addition to its nutritive values students will be introduced to the biological activity & manufacturing method of the functional foods. | |||||||||
GBE2035 | Mind, Brain and Artificial Intelligence | 3 | 6 | Major | Bachelor | Biomedical Engineering | Korean | Yes | |
This course is designed to provide students with understanding of human mind and brain from the perspective of cognitive neuroscience. This course will explore current issues and findings in the field of cognitive psychology, neuroscience, and cognitive science. Topics include visual and auditory perception, attention, memory, imagery, consciousness, language, emotion, and plasticity in the brain. Students will read and discuss the current research findings in the field, do the simulation, and develop research ideas of their own. | |||||||||
GBE3064 | Biostatistics and Big data | 3 | 6 | Major | Bachelor | Biomedical Engineering | English | Yes | |
Data are everywhere. It is a big data era. Data science already became a key element in many research and industrial areas. The primary aim of this course is to learn basic concepts and skills for data analysis, including concepts of random variables, sampling distributions, hypothesis testing, linear modeling, data visualization, etc., preparing students for their lives after the graduation in this data-are-everywhere age. | |||||||||
GBE3065 | Introduction to matlab programing and machine learning | 3 | 6 | Major | Bachelor | Biomedical Engineering | English,Korean | Yes | |
This course aims to teach the programming skills for designing/conducting experiments, collecting biological data (behavioral and EEG data), and analyzing the data using a script based programming language (MATLAB). Class participants will compose several teams and each team will design an experiment that they can collect biological data from. Students are expected to implement and conduct the experiment using MATLAB. The obtained data will be analyzed through open-source machine learning algorithms and MATLAB. Evaluation will be based on the outcome of the team-based projects and mid/final terms presentations of each project. | |||||||||
GBE3071 | biodatamining | 3 | 6 | Major | Bachelor | Biomedical Engineering | English | Yes | |
This class is designed to advance the understanding of the senior undergraduate students (4th year) for big data science in biomedical engineering. The class will introduce overall steps for identifying biologically meaningful patterns from large-scale biomedical engineering data as well as relevant methodological issues in the research designs and approaches. The contents will be presented along the series of contrasting axes between supervised and unsupervised learning, between categorical and dimensional analytics, and between univariate and multivariate algorithms, and every lecture will be accompanied by actual code implementation to better understanding the targeted data mining algorithms. | |||||||||
IBB3017 | Trends in Computational Biology | 3 | 6 | Major | Bachelor | Interdisciplinary Program of Comprehensive BioInformatics and Omics | Korean | Yes | |
This is a required course in ComBIOmics program and is to provide recent knowledge and researches employing computational biology. We will invite expertises and let them share their most recent technology regarding computational biology. | |||||||||
IBB3018 | Statistics for machine learning | 3 | 6 | Major | Bachelor | Interdisciplinary Program of Comprehensive BioInformatics and Omics | English | Yes | |
The course is designed for students without a background in statistics who wish to become familiar with machine learning (ML). In this course, I will introduce the basic concepts of statistics and ML terminology along with practical examples using Python. This course also prepares participants to be able to apply ML to their own data. | |||||||||
IBT2001 | Bio Chemistry | 3 | 6 | Major | Bachelor | 2 | Korean | Yes | |
The aim of the lecture is to build biochemical mind in which students see the biological materials and phenomena with quantitative and molecular view points. It encompasses a consideration of the chemistry and biochemistry of the biological molecules. The core material includes structures and functions of proteins and biological membranes. | |||||||||
IBT2002 | Microbiology | 3 | 6 | Major | Bachelor | 2 | English | Yes | |
The contents of lecture comprise the history of microbilogy, the structure and function of microbial cell, microbial metabolism, microbial fermentation, microbial growth and control, and microbial genetics. | |||||||||
IBT2003 | Genetics | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
This course provides an introduction to classical and molecular genetics. Major topics include mutation, genetic recombinution, chromosome change. Major topics include transfer and mapping of genes in eukaryotes and prokaryotesthe genetic code, structure of the gene, regulation of gene expression, and evolution. | |||||||||
IBT2004 | Molecular Biology | 3 | 6 | Major | Bachelor | 2 | Korean | Yes | |
Nucleic acid and chromosome structure ; cell and virus genetics ; Mechanisms and control of DNA mutation, repair, recombination, replication and modificationlysogeny ; molecular and organismal aspects of development. Transcript and transiation of genetic information and their regulation, Messenger RNA processing, Polyscom organization, Post translational modification of protein, Protein secretion. | |||||||||
IBT2005 | Neurobiology | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
This course covers the organization and function of the brain. Lecture includes cell biology of neurons, structure and function of individual neurons, electrical and biochemical signaling by neurons, establishment of neural circuits and networks. | |||||||||
IBT2006 | Cell Technology | 3 | 6 | Major | Bachelor | 2 | - | No | |
Introduction to chemical components of cells, structures & functions of cellularorganelles, and cell theories. Introduction to basic and new methodologies to study cell biology and its application. | |||||||||
IBT2007 | Immunology | 3 | 6 | Major | Bachelor | 3 | Korean | Yes | |
This class describes functional roles of chemokines, cytokines, complements, and antibody in terms of innate and adaptive immunity and their principles of immune responses. In particular, the processes of development, maturation, proliferation, differentiation and cross-regulation will be presented to understand whole immune system. Furthermore, systematic organization of immune cells, immune tissues and immune organs will be desciribed at the levels of molecular and cellular aspects. |