Interdisciplinary Program for
systems Biosciences and Bioengineerin
The School of Interdisciplinary Bioscience and Bioengineering is an interdisciplinary graduate program of POSTECH introducing educational systems and methodologies under new concepts with an [aim to develop world-class elite scientists and technicians armed with quantitative, systematic and integrated thoughts, capabilities and experiences] to lead the field of future synthetic bioscience/bioengineering. It was founded in 2005 in order to realize the development of creative scientist and technical talents as well as successful models of synthetic bioengineering and scientific advancements designed to create new paradigm in understanding, analysis and application of vital phenomena based on integration of knowledge, technology and idea throughout the fields of basic science, such as biology, physics, chemistry and mathematics, and the engineering fields of electronics, computer, machinery, new materials, chemical and environmental engineering. Curriculum of the School of Interdisciplinary Bioscience and Bioengineering is operated independent from other existing departments as a graduate school focusing on interdisciplinary researches but operated in the Matrix-shaped structure with major fields of existing departments, and the fields of education and research in this program include development of knowledge, theory, technology and device to understand and analyze vital phenomena from the qualitative, systematic and dynamic perspectives and the application fields of bioengineering and medical engineering.
The fundamental philosophy of this program lies in the tailored curriculum for each track designed to develop elite personnel armed with interdisciplinary quality. It aims to strengthen world-class knowledge, technology, creativity and growth capability in the field of interdisciplinary bioengineering for the students with diverse educational backgrounds and research themes in the interdisciplinary bioengineering and science. As measures to accomplish the above, education by tracks is being delivered based on the backgrounds and research themes of each student, and detailed major is placed within the track. Two tracks are available: 1) Systems Biosciences with the more enhanced bio-scientific aspects and 2) Systems Bioengineering with more strengthened engineering aspects. It proposes tailor curriculum according to research direction and career path of each student through interviews with advisors by detailed majors, and the curriculum is reviewed and finalized by the board of education. The flow of basic curriculum is built to have students to complete common required and elective required subjects of the entire program in order to develop basic quality in the field of interdisciplinary bioengineering and then to complete the curriculum by tracks equipped with educational attributes by each track, where students are encouraged to take other programs or classes from other departments whenever deemed necessary. Therefore, the curriculum of the School of Interdisciplinary Bioscience & Bioengineering represents not only a systematic device designed to organically graft researches and education but also an open system aiming to procure professional culture while offering trainings in various fields when necessary.
Credits required for graduation shall be determined by the curriculum, but the contents of such curriculum shall be implemented depending on the characteristics of each track, and shall be tailored in principle based on the intents, backgrounds, capabilities and future of the student through mutual cooperation among the student, advisor and the curriculum committee of the School of Interdisciplinary Bioscience & Bioengineering.
Track 1. Systems Biosciences and Biotechnology
This track focuses on the education and researches designed to understand diverse vital phenomena from the molecular level to the level of minute organs within cells, cells and individual entities at the qualitative, systematic and dynamic dimensions by means of theories, logical systems, technologies and diversified theoretical, qualitative and analytic methodologies developed by mathematics, chemistry, bioscience, physics, electromagnetic engineering and computer engineering. Examples of the above include analysis of biological complex system, systematic dimension of interactions from various molecular biological, cytological and biochemical processes of biomolecule, identification at the dynamic dimension, theoretical interpretation and modeling. In addition, this track engages in the education and researches on biotechnology at the application aspects based on the qualitative, systematic and dynamic understanding of vital phenomena, such as therapies or new drugs with novel concepts, development of biomaterials and bio-metabolic regulation.
Track 2. Systems Bioengineering
It aims for the education and researches on the fields introducing the engineering 해석전기법 and tools for understanding and application of vital phenomena while converging methodologies of bioengineering, new materials engineering, mechanical engineering, industrial engineering, electronic/electric engineering and electronics/electricity as well as the field adopting biological electrons, an engineering goal. Examples of the former include the education and research on the field of medical engineering based on bio-imaging 처리전기 공학생체물질공학대체물질 and NEMS/MEMS, and examples of the latter can be the education and research on machinery production imitating the movements of each bio organ and animals/plants.
Pursuant to Article 23 of Chapter 4 of the Graduate School Regulation, prescribing, “The minimum number of credits required for completion shall be 28 credits for the Master’s Program, 32 credits for the Doctoral Program and 60 credits for the Integrated Master/Doctoral Program: Provided that the number of course credits and research credits to complete at each program shall be determined by the prospectus of each department,” the School of Interdisciplinary Bioscience & Bioengineering hereby stipulates that the minimum number of credits required to complete shall be 28 credits (21 course credit, 7 research credits) for the Master’s Program, 60 credits (27 course credits, 33 research credits) for the Integrated Master/Doctoral Program and 32 credits (18 course credits, 14 research credits) for the Doctoral Program, where specific details shall be as follows.
Integrated Master/Doctoral Program | Doctoral Program | Master’s Program | ||
---|---|---|---|---|
Research credits | 33 credits | 14 credits | 7 credits | |
Required major course (3 credits) | *Interdisciplinary Bioscience | 18 course credits (Required: 6 credits) (Elective: 12 credits) |
교과21학점 (Required: 6 credits) (Elective: 15 credits) |
|
Required elective course (3 credits or more) | * Advanced Bio-Imaging * Advanced Metabolic Engineering * Advanced Molecular Genetics * Tissue Engineering * Biofluid Mechanics * Nano-Biomaterials * Biopolymer Chemistry *BioMES * Biology of Aging * Advanced Molecular Biology I *Principle of Bioengineering Imaging * Integrative Bio-Imaging Technology * Special Topics in Chemical Engineering (Advanced Synthetic Biology) *Biophysics |
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Major elective (21 credits or more) | Biology Background |
Biology Background |
||
Physics/chemistry/mathematics/computer-related - 12 credits Bioscience-related - 9 credits |
Engineering-related - 12 credits Bioscience-related - 9 credits |
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Physics/chemistry/mathematics/computer Background |
Engineering-related Background |
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Physics/chemistry/mathematics/computer-related - 9 credits Bioscience-related - 12 credits |
Engineering-related - 9 credits Bioscience-related - 12 credits |
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Track | Track I Systems Biosciences |
Track II Systems Bioengineering |
*Special Topics in Chemical Engineering (Advanced Synthetic Biology) shall apply to the students admitted since the 2020 Spring Semester (* retroactive application to students admitted in 2019 Spring Semester).
*Biophysics shall apply to the students since 2021 Spring Semester (including new students).
*For more information, please contact the department office.
*Applicable to candidates intending to take required elective subjects changed from the students previously admitted (including Spring Semester of 2017)
Exception: Subjects under (Note 1) & (Note 2) from required elective courses apply to the freshmen in 2017 and beyond.
*For more information, please contact the department office.
Integrated Master/Doctoral Program | Doctoral Program | Master’s Program | ||
---|---|---|---|---|
Research credits | 33 credits | 14 credits | 7 credits | |
Required major course (3 credits) | *Interdisciplinary Bioscience | 18 course credits (Required: 6 credits) (Elective: 12 credits) |
21 course credits (Required: 6 credits) (Elective: 15 credits) |
|
Required elective course (3 credits or more) |
* Advanced Bio-Imaging, Principles of Biomedical Opt. & Imaging (Note 1), Integrative Bio-Imaging Technology (Note 2) * Advanced Metabolic Engineering, Advanced Molecular Genetics, Tissue Engineering, Biofluid Mechanics, Nano-Biomaterials, Biopolymer Chemistry, Bio-MEMS, Biology of Aging, Advanced Molecular Biology I |
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Major elective | Biology Background |
Biology Background |
||
Physics/chemistry/mathematics/computer-related - 12 credits Bioscience-related - 9 credits |
Engineering-related - 12 credits Bioscience-related - 9 credits |
|||
Physics/chemistry/mathematics/computer-related Background |
Engineering-related Background |
|||
Physics/chemistry/mathematics/computer-related - 9 credits Bioscience-related - 12 credits |
Engineering-related - 9 credits Bioscience-related - 12 credits |
|||
Track | Track I Systems Biosciences |
Track II Systems Bioengineering |
*Applicable to candidates intending to take required elective subjects changed from the students previously admitted (including Spring Semester of 2016)
*For more information, please contact the department office.
Integrated Master/Doctoral Program | Doctoral Program | Master’s Program | ||
---|---|---|---|---|
Research credits | 33 credits | 14 credits | 7 credits | |
Required elective course (3 credits or more) | *Interdisciplinary Bioscience | 18 course credits (Required: 6 credits) (Elective: 12 credits) |
21 course credits (Required: 6 credits) (Elective: 15 credits) |
|
Required elective course (3 credits or more) |
* Biophysics * Advanced Bio-Imaging * Synthetic Biology * Advanced Molecular Genetics * Tissue Engineering * Biofluid Mechanics * Nano-Biomaterials * Biopolymer Chemistry * Bio-MEMS * Biology of Aging |
|||
Major elective | Biology Background |
Biology Background |
||
Physics/chemistry/mathematics/computer-related - 12 credits Bioscience-related - 9 credits |
Engineering-related - 12 credits Bioscience-related - 9 credits |
|||
Physics/chemistry/mathematics/computer Background |
Engineering-related Background |
|||
Physics/chemistry/mathematics/computer-related - 9 credits Bioscience-related - 12 credits |
Engineering-related - 9 credits Bioscience-related - 12 credits |
|||
track | Track I Systems Biosciences |
Track II Systems Bioengineering |
Cases of Academic Plan and Thesis Proposal
Completion | Number | Subject | Lecture-Experiment(Practice)-Credit |
---|---|---|---|
Major required | IBIO614 | Interdisciplinary Bioscience | 3-0-3 |
Required elective | IBIO711/PHYS712A | Advanced Bio-Imaging | 3-0-3 |
IBIO650/CHEB643 | Advanced Metabolic Engineering | 3-0-3 | |
IBIO528/LIFE517 | Advanced Molecular Genetics | 3-0-3 | |
IBIO657/MECH532 | Tissue Engineering | 3-0-3 | |
IBIO616/MECH624 | Biofluid Mechanics | 3-0-3 | |
IBIO514/AMSE669 | Nano-Biomaterials | 3-0-3 | |
IBIO621/CHEM652 | Biopolymer Chemistry | 3-0-3 | |
IBIO529/MECH535 | Bio-MEMS | 3-0-3 | |
IBIO655/LIFE515 | Biology of Aging | 3-0-3 | |
IBIO652/LIFE601 | Advanced Molecular Biology I | 3-0-3 | |
IBIO530/CITE551 | Principle of Bioengineering Imaging | 3-0-3 | |
IBIO531/IBBT501 | Integrative Bio-Imaging Technology | 3-0-3 | |
IBIO534/CHEB801H | Advanced Synthetic Biology | 3-0-3 | |
IBIO526/PHYS413 | Biophysics | 3-0-3 | |
Major elective | IBIO511 | Bio-Imaging | 3-0-3 |
IBIO512 | Biostatistics | 3-0-3 | |
IBIO513 | Information Processing for Genomics and Proteomics | 3-0-3 | |
IBIO515/MECH579 | Special Topics in Thermal Fluid (Introduction to Microfluidics) | 3-0-3 | |
IBIO516A-E | Seminar | 2-0-1 | |
IBIO518/LIFE509 | Advanced Cell Biology | 3-0-3 | |
IBIO519/EECE551 | Digital Image Processing | 3-0-3 | |
IBIO520/CSED515 | Machine Learning | 3-0-3 | |
IBIO521/EECE514 | Pattern Recognition | 3-0-3 | |
IBIO522/MOLS414 | Systems Biology | 3-0-3 | |
IBIO523/MATH443 | Mathematics for Biologists | 3-0-3 | |
IBIO524/PHYS420 | Biophysics | 3-0-3 | |
IBIO527/CHEM441 | Instrumental Analysis and Laboratory | 2-6-4 | |
IBIO532/IBBT530 | Tumor Biology | 3-0-3 | |
IBIO612/PHYS667 | Quantitative Theoretical Biology | 3-0-3 | |
IBIO615 | Advanced Biotechnology | 3-0-3 | |
IBIO617/MECH646 | Nanobiotechnology | 3-0-3 | |
IBIO631/PHYS666 | Physics of Soft Condensed Matter | 3-0-3 | |
IBIO63632/PHYS720 | Special Topics in Brain Science | 3-0-3 | |
IBIO633/PHYS662 | Biological Statistical Physics | 3-0-3 | |
IBIO634/PHYS665 | Nonlinear Dynamics and Chaos Theory | 3-0-3 | |
IBIO635/LIFE616 | Biocommunications | 3-0-3 | |
IBIO636/LIFE617 | Tissue Biochemistry | 3-0-3 | |
IBIO637/LIFE618 | Proteomics & Molecular Networks | 3-0-3 | |
IBIO638/LIFE619 | Bioinformatics | 3-0-3 | |
IBIO639/LIFE720 | Advanced Biostatistics | 3-0-3 | |
IBIO640/LIFE719 | Molecular Biophysics | 3-0-3 | |
IBIO641/CHEM721 | Biological Molecular Chemistry | 3-0-3 | |
IBIO642/CHEB731 | Biomedical Transport Phenomena | 3-0-3 | |
IBIO643/CHEB732 | Bioseparation Processes | 3-0-3 | |
IBIO644/CHEB733 | Cell Culture Engineering | 3-0-3 | |
IBIO645/CHEB734 | Biochemical Process Engineering | 3-0-3 | |
IBIO646/CHEB737 | Advanced Molecular Biotechnology | 3-0-3 | |
IBIO647/MECH643 | Biomechanics | 2-2-3 | |
IBIO648/MECH647 | Bioengineering | 3-1-3 | |
IBIO649/LIFE622 | Molecular Imaging | 3-0-3 | |
IBIO651/CHEM669 | Special Topics in Biochemistry | 3-0-3 | |
IBIO652/LIFE601 | Advanced Molecular Biology I | 3-0-3 | |
IBIO654/CHEB644 | Transcriptional Regulation for Synthetic Biotechnology | 3-0-3 | |
IBIO656/LIFE508 | Advanced Developmental Biology | 3-0-3 | |
IBIO658/LIFE503 | Advanced Immunology | 3-0-3 | |
IBIO659/LIFE505 | Neurobiology | 3-0-3 | |
IBIO661 | Molecular Spectroscopy | 3-0-3 | |
IBIO662/CHEM542 | Molecular Spectroscopy | 3-0-3 | |
IBIO663/LIFE611 | Biomacromolecular Structures | 3-0-3 | |
IBIO665/EVSE540 | Environmental Bio-processing | 3-0-3 | |
IBIO666/AMSE612 | X-Ray Imaging | 3-0-3 | |
IBIO667/CHEB645 | Protein Biosynthesis | 3-0-3 | |
IBIO712/PHYS712B | Current issues inbiologicl physics | 3-0-3 | |
IBIO801W/CITE700H | NIH Formal Research Task Preparation | 1-0-1 | |
IBIO801A-Z | Special Topics in Systems Biology | variable credit | |
Research subject | IBIO811A-Z | IBIO IBIO Graduate School Seminars | 2-0-1 |
IBIO699 | Master’s Thesis Research | variable credit | |
IBIO899 | Doctoral Thesis Study | variable credit |
It introduces the latest techniques concerning high-resolution imaging in a microstructure of organism, including cells. And it also introduces the studies on in-vivo dynamics in a microstructure of cells and organism through application of the above.
It discusses basic methodologies concerning mathematical analysis and modeling assuming a role that becomes more and more significant to understand the biology. Especially, it deals with the themes of ecological models, reaction dynamics, bio-system dynamics, bio-acoustic, bio-pattern formation, bio wave, neurodynamics and epidemic disease dynamics.
It understands information processing techniques for genomics and proteomics. It understands the principles of various experiment techniques for genomics and handles information processing techniques necessary for discovery of genes, study on comparative genome and analysis of gene expression. Moreover, it introduces computing techniques for analysis of protein expression, interaction analysis of protein and virtual cell simulation.
It introduces basic concepts concerning Nano-Medicine based on Nano-bio and pharmaceutical technology, and it teaches students to understand the biological, chemical, physical and materials engineering characteristics of biomaterials used for Nano-Medicine at the molecular level.
It discusses basic theories in the field of Microfluidics (i.e.: governed equation of conveyance phenomenon, electrokinetics and dielectrophoresis) and key issues related to each theory, and it offers general knowledge regarding applied fields of Microfluidics and current general issues. Ultimately, it helps students honing their ability to interpret the movements of particles considering fluid force and electric force acting on particles after numerically interpreting electroosmotic flow (including convective-diffusion) within micro-channels.
Co-advisors teaches the progress of researches, study methodology and result analysis methodology through personal participation where the relevant formats include the experiment plans on research purpose, research background, research hypothesis or motive, results, interpretation of results and supplementation of results.
It helps understanding the structures in relation to functional aspects of cells and discusses interpretation of observation results using optical and electron microscopy and verification methods for distribution of intercellular protein of interest using indicated antibody.
It processes and analyzes images from computers. For the purpose of the above, it introduces the structure and principle of human visual system, modeling of imaging system, sampling, quantization, image enhancement and restoration and image processing techniques, such as filtering of 2-dimensional data and transform theory, and it discusses imaging analysis techniques of edge detection, image division and matching. Also, it introduces computer structures for latest image processing
It teaches basic concepts of calculation method through neuron network and major models (perceptron, RBF, kohonen, Hopfield). Also, it studies application cases of pattern recognition, regression analysis and prediction, and engages in assignments with actual issues applied.
The purpose of lectures in this course is to obtain basic theories on recognition of patterns, learn application methods through programming based on the above and attain capability to apply to various issues. It focuses on statistical pattern recognitions and relations with artificial neuron network.
It aims to provide comprehensive in-depth knowledge regarding vital phenomena at the level of entire system by introducing interaction and control of biological networks overseeing diversity and dynamic of vital phenomena together with basic understanding of genome and proteome composing organism.
This course aims to introduce various mathematical models existing in biology and shows the relations with other modeling approaches. It also discusses deterministic models and probabilistic models and presents analytical methods and numerical methods. In addition, it introduces ordinary differential equations, partial differential equations, Stochastic differential equations, Stochastic simulations algorithms, networks and numerical algorithms.
It studies various phenomena of condensed matters by extending what was learned from statistical physics and solid-state physics. The course also may include many-body theory, surface phenomenon, phase transmission and critical phenomenon, non-equilibrium phenomenon and complex system, superconductivity and quantum liquid phenomenon, semiconductor, high molecular substance and application of radiation beam.
It deals with the basics of biological physics/biophysics to understand by applying physical means and concepts to vital phenomena. It introduces biophysical approaches concerning significant vital phenomena arising at the molecular and cellular levels.
Recommended prerequisite courses: It is to learn general principles (spectrum, electrochemistry, chromatography, et al.) using the device of analytical chemistry, physical chemistry I & II, and understands how they apply to actual chemical or analytical problems to experiment material contents concerning the above.
This course is designed to help students learn recent exiting advances in the molecular genetics. The topics include functional genetics, model organisms, and molecular genomics. In addition, students will discuss breakthrough findings in the molecular genetics field.
It studies the following approaches basically introduced to system biology: 1) Establishment of major biological problems, 2) high-throughput technologies (omics, interactomics) generating global data suitable for problem solving, 3) informatics methods for modeling of data analysis/bio system, and 4) presentation of solutions for problems given by comprehensive system analysis through integration of various heterogeneous data generated or collected. During the first half of the semester, it studies the mathematical modeling often used by system biology whereas the latter half of the semester is featured with overall lectures concerning basic approaches mentioned above and application examples as an actual system.
This is an introductory course for qualitative analysis and modeling required to theoretically understand biology. Especially, it discusses the methodologies of biostatistics, nonlinear dynamics, bio informatics, thermodynamics, bio dynamics, bioelectricity, data analysis and data mining.
It lectures on the introduction of dynamic phenomenon at the in-vivo cellular and molecular levels, introduction of analytic methodology, qualitative interpretation methodology, dynamic phenomenon and relations with vital phenomena.
It introduces adjacent academic fields that can be jointly studied with bioscience and innovative research areas that can be achieved through collaborative procedures by focusing on the actual cases in order to help students of collaborative procedures selecting research themes.
It introduces industrially emerging biotech industries as well as prospects and research directions of future biotech. It discusses essential technology and newly emerging technologies in the biotech industry.
It is an introductory course regarding researches on the flow of circulatory systems, such as heart and lung. It focuses on the study of modeling and blood flow for the researches on clinical application in relation to circulatory disease.
It examines ultrafine energy conversion and mass transfer, related elements and behavior characteristics thorough mechanical, material, chemical and biological analysis concerning ultrafine bio materials and reactions. And it discusses development cases of NEMS (Micro/Nano Electro Mechanical Systems) and relevant scientific/technical issues in order to analyze and process high throughput of ultrafine bio materials.
It introduces various transfer phenomena and dynamics arising from polymer, membrane and liquid crystal representing one-dimensional and two-dimensional soft matters. It deals with ideal chain theory, semi-flexible high polymer solution and melt, bio-polymer, interface pitching and interaction, self-assembled interfaces and membranes, bio-membranes and liquid crystal.
It deals with overall basic knowledge concerning structure and functions of brain. And it embraces various themes, including vision, memory, emotion, biorhythm, regulatory motor, equilibrium function, information processing (neural coding), language function and non-destructive brain function mensuration. Seminars with invited experts regarding basic problems and latest research trends of brain science are also included.
It introduces bio-statistical approaches required to handle physical phenomena arising from the body. In addition to basic contents concerning fundamental components of the body, including water, electrolyte solution, bio-polymer, bio-membrane and ion channel, it examines approaches in terms of statistical physics and stochastic process with respect to various in-vivo dynamical phenomena and organic evolution models, including protein folding and neural transmission.
It approaches through non-linear methods, such as roots of chaos and synchronization, with a model of dynamic phenomena arising out of complex system in nature. The objects of the above are network pattern formation, stochastic resonance and neuron network of coupled oscillator.
It studies molecular principles and diversity of cell-molecular interactions of multi-cellular organism. Especially, it helps understanding functional module and motif of receptor-ligand and signal protein, molecular form of specific interactions that are the basis of molecular recognition, a core molecular mechanism for cellular function control and signal transduction, through lectures and presentation of themes, and it offers tutorial lectures with expert invitees in order to understand in terms of mathematics and bio-informatics concerning the communications within bio-systems comprised of the above.
It examines bio-constituent molecules from the perspective of tissue and organ. It understands the control of each organ of the human body, such as neuron, circulation, digestion, excretion and reproduction, and molecular mechanism of relevant disease based on the results from latest studies. Part of lectures focus on the current status and future prospects concerning disease treatments and drug development, which are being realistically realized, by inviting clinical doctors as well as developers and researchers of pharmaceuticals.
It specifically discusses the results from the latest studies concerning proteome, a functional object of genome. It examines compositions and natures of protein machine consisting of protein multicomplex, including proteasome, spliceosome, focal adhesion complex and postsynaptic density complex, and includes the introduction and utilization of advanced technologies to analyze and identify the molecular network caused by protein interactions.
It examines the searching and analysis of protein information, the understanding of searches and analysis procedures of literature information on biology, and the latest study trends and prospects of bioinformatics.
It discusses methodology and interpretation of advanced statistical processing that is required to analyze and understand biological materials.
It studies the general subjects of physical biochemistry and biology by focusing on the physical/chemical aspects at the molecular phase. The relevant contents include the phase between the structure and molecule of bio-polymer and physical methods employed for characterization of protein and nucleic acid.
It identifies the design, synthesis and action patters of compound with physiological activity. Especially, it focuses on development of matters inhibiting catalytic function through selective actions with specific enzyme.
It analyzes and explicates conveyance phenomena by means of basic principle of chemical engineering, and it teaches how the principles of chemical engineering are applied to the fields of medical engineering and genetic engineering.
It lectures industrial separation methods of biomacromolecules biotechnologically generated. It discusses basic principles and actual application cases of thermodynamical analysis of lean solution, thin film filtration, chromatography, centrifugation and electrophoresis deposition.
This course mainly studies and investigates the subjects concerning cell culture from existing biochemical engineering where the cells to study are microorganisms (bacteria, fungus and algae), animal/vegetable cells and insect cells. It is to discuss issues, culture methods and technical trends regarding cell culture through a number of examples.
It discusses basic characteristics of bioprocess, and it also teaches systematic approaches required for analysis, synthesis, evaluation and optimization of bioprocess.
It introduces basic knowledge, principles and techniques of molecular biology, biochemistry and microbiology to understand the field of molecular biotechnology based on recombinant DNA technology, the most central methodology in biotechnology, and it also discusses recombinant protein expression systems of colon bacillus, yeast, insect, plant and animal as well as actual application cases of molecular biotechnology in the fields of chemistry, medicine, environment and agriculture in great depth.
It models the human motions and works based on epidemiological anatomy and physiology, and it studies human motions and limit muscle strength by adding muscle exercise through physiological contemplation. It comprehensively deals with subsequent anthropometry, human body modeling and control theory to develop biomechanical models.
It studies mechano-electrical interpretation of human body parts, composition of subsequent measuring system and performance of each human body limb, and it teaches computer techniques of data collection and analysis methods.
It offers lectures on latest trends and examines prospects by each detailed field based on the relevant needs in accordance with the trends of modern biology that is exponentially advancing.
With an aim to intentional redesign at the metabolic level of bio-system, it lectures basic understanding of bio-metabolic process, various experiment techniques to interpret metabolic pathway, metabolic control analysis (MCA), metabolic flux analysis (MFA), metabolic balance analysis (MBA) and metabolic interpretation of genome scale. And by means of the above, it displays application cases of industrial bioengineering, medicine and agricultural bioengineering.
It examines recent developments by selecting one field of biochemistry.
It introduces the results of latest studies on DNA compounds from inferior cell, genetic recombination, DNA repair, structure and function of gene, trans-possible elements and control of gene expressions, and it discusses the above in great depth.
This graduate-level course aims to provide intensive knowledge of transcription mechanism and regulation system for synthetic biology especially for the purposeful redesign of the biological system.
The focus of this course is on current understanding of aging process at an organismic level. Emphasis is placed on genetic control mechanisms that regulate aging and age-related diseases. Moreover, students will discuss key molecular signaling pathways that regulate aging processes, which are conserved across phyla.
It aims to understand the mechanism where a fertilized egg develops into an entity composed of various cells, tissues and organs.
Tissue engineering is the use of a combination of cells, engineering and materials methods, and suitable biochemical and physio-chemical factors to improve or replace biological functions. This course teaches fundamentals that span several academic areas related to tissue engineering to students who have a mechanical engineering background, and introduces various approaches to research. Topics include basic cell biology, chemistry, biomaterials, anatomy, computer-aided design/computer-aided machining (CAD/CAM), and manufacturing technology. Various mathematical and mechanical tools for simulating cell behavior are introduced. In addition, basic experimental laboratory instruction covers cell culture and scaffold fabrication.
It studies the principle of immunity and research methods, and it focuses on applications to address material issues of biology. Significant details include reactions of antigen and antibody, immunoassay, structure and action of immune globulin, dominant gene over immune system, formation process of antibody, cell-mediated immunity, complement, tolerance, transplantation and their principles as well as production methods and applications of single clone antibody.
It focuses on general principles concerning organization and actions of nervous system of organism. Main contents include neurocytology, structure of nervous system, nerve development, action potential and transmission and biochemical mechanism of sensory transduction.
It deals with theoretical discussion and application regarding rotation and vibration of diatomic and polyatomic molecules, electronic energy level and relevant potential selection ratio.
It examines quantitative and qualitative compound analysis methods by means of spectroscopic methods.
In order to understand the functions of proteins responsible for most of vital phenomena at the highest level, it discusses structural understanding of protein functions, protein-DNA, protein-sugar, protein-steroid, structural understanding of protein-protein interaction, structural understanding of reaction mechanism of zymoprotein and protein structure as a means for functional genomics.
It teaches basic biological phenomena and general techniques related to causes and solutions of environmental issues. It introduces key strains used for basic biological reactions/processes and pollution purification, and it also discusses major bio-processes to control environmental contamination.
In-situ microscopic observation is quite important for identification of basic phenomenon and optimal process of nano-technology and biotechnology. This lecture introduces the latest x-ray imaging studies for graduate students majoring in materials, nano-technology and biotechnology, and helps the students learning basic theory and practical methodology of x-ray imaging.
This is an intensive course to study protein synthesis mechanism as well as regulation network in the biological system.
It teaches principles and structure of microscopy, the most important research technology throughout entire fields of modern physics, chemistry and biology, and it further examines advanced research methods and application of biology by means of microscopy.
We aim to get some sence of current issues in biological physics.
It selects and discusses in great depth a few themes related to the latest research trends of Systems Bioengineering.