Course Information

This seminar class is for graduate students in the Health Science Technology program & the Health Innovation and Entrepreneurship program. Invited medical researchers in science and engineering, entrepreneurs, and investors will provide the current topics in interdisciplinary translational research and related business development.

This course is related with the students graduate thesis and dissertation. As such, students should be actively working in a laboratory setting and gaining experience through hands-on experimentation.

This course is related with the students graduate thesis and dissertation. As such, students should be actively working in a laboratory setting and gaining experience through hands-on experimentation.

Students will gather the Voices-of-customer (VOC) from healthcare companies and carry out projects to solve healthcare-related problems of those companies. Through this, students will obtain basic information and knowledge related to the internship during the summer vacation.

Students will visit the research center or the company related to healthcare technology and solve the problems they learned through the Capstone Design class. They will also learn how the healthcare business works in the real world.

Students will learn about recent technologies applied to new medical science industries, such as the digital healthcare industry, and examine related inventions and patents. In particular, examples of patent strategies related to the health and medical technology business will be discussed. It will also provide information about clinical trials that must be undergone to develop various medical products, related issues to be considered in experimental design, and the expected problems during the process.

This course will discuss various data types used in the health and medical field and how to enhance our understanding with statistical analysis. Basic statistics and programming skills for health and science technology research will also be covered.

This course is to help first-year graduate students with no medical education experience in the medical field. Students will visit medical places such as general hospitals to enhance their understanding of what is happening in the medical area.

Through this course, students will understand the process of generating, managing, and utilizing medical data and learn basic knowledge of medical information analysis. They also learn about database management systems within hospital information systems (database objectives, features, composition, language, modeling, design, implementation, etc.) and how to extract data to support decision-making on clinical research and diagnosis.

Students will discuss cases of deep learning applications using EMR (tabular form) data collected in medical and health sciences and learn about related deep learning methods. The course will also introduce theories and applications related to the processing and visualization of various bio-image data used in medical diagnoses, such as CT, MRI, and X-ray. Students will learn how to deal with medical image reconstruction methods and post-processing techniques related to various medical imaging devices.

The course will discuss the application of information and communication technology (ICT) to monitor individual health status anytime and anywhere. Students will learn basic knowledge of smart healthcare that provides personalized healthcare services such as prevention, diagnosis, and treatment. The course will introduce digital healthcare cases using personal wearable healthcare devices.

We introduce the latest clinical applications of genomics and other multi-omics technologies for rare genetic disease diagnostics and personalized cancer treatment. We will also discuss the progress of bioinformatics research which serves as a core technology in this genome revolution in translational medicine.

This course will introduce the latest issues of molecular diagnostic technology using microfluidic devices and other point-of-care devices. The class will also discuss the interdisciplinary approach to integrating technologies into a small device, such as lab-on-a-chip, and their clinical applications.

Students will learn how to analyze the human body physically and mechanically and discuss technologies to support physical activities with a disability, such as robotics and virtual reality.

Students can understand current topics in tissue engineering with organoids and 3D bio-printing and lead the discussion about the challenges to overcome to bring them to the bedside. In addition, students will discuss the applications of tissue engineering and cell culture technologies in clinical trials, such as companion diagnostic platforms.

Biomarkers are being widely used at every stage of drug discovery and development. This course aims to introduce the main themes of biomarkers in drug development. Students will learn the discovery and validation process of biomarkers, At the end of the course, they will be able to understand how biomarkers can improve drug development for various diseases.

In this course, students will learn various research techniques to establish in vitro and in vivo disease research models and to evaluate the efficacy and toxicity of biopharmaceuticals using these models. In addition, we will discuss the recent research trends related to evaluation techniques of advanced biopharmaceuticals.

This is an advanced course to introduce topics related to business development in translational medicine. This will cover the basics of business operation, the organization, business model, funding strategy, and human resource management in health science and technology.

This cource will introduce how the radiation interacts with matter, how the radiation deposit its energy to tissues, the basic principle of radiation dosimetry, the physics behind radiation medicine, the basic concept of radiation shielding, and advanced radiation therapy techniques.

The culture of animal cells is one of the major aspects of science which serves as a foundation for most of our recent discoveries. The aim of this course is to provide knowledge about techniques and applications of animal cell culture to biotechnology. This course will cover from methodology of animal cell culture; sterile technique, culture of primary cell, generation of immortalized cells, stem cell culture, tissue culture, organotypic culture, 3D culture, to specialized applications; model system, gene therapy, drug screening, transplantation, and production of therapeutics. It will provide graduate students in the various fields of science and technology with a better understanding of animal cell culture and aid to apply these techniques to their own research.

This course will review primary scientific research papers in the field of genomics. Each class, we will review one or two such papers in detail with some background and coverage of related research when appropriate. The paper to be discussed in detail will be assigned for reading.

This is introductory course designed for graduate Biomedical Engineering students. This course mainly covers how to apply knowledge of mathematics and engineering to human physiology. Initial lectures will focus on the review of human anatomy and physiology. Subsequently, the role of fundamental physiological principles will be illustrated in specific organ systems through more detailed discussions of the muscular, nervous, sensory, cardiovascular and respiratory systems. At last, these concepts will be quantitatively analyzed by engineering model and simulation. In order to follow the course contents, students should be comfortable with the use ordinary differential equations and linear system analysis.

Stem cells have the remarkable potential to develop into many different cell types in the body during early life and growth. Given their unique regenerative abilities, stem cells offer new potentials for treating diseases such as diabetes, neural and heart disease. Research on stem cells continues to advance knowledge about how an organism develops from a single cell and how healthy cells replace damaged cells in adult organisms. Stem cell research is one of the most fascinating areas of contemporary biology. One of UNIST’s core research programs is Stem Cell Research. The class in this core program is focused on understanding the pluripotency of mouse and human embryonic stem cells.

This course aims to learn the fundamental knowledge of computational methods and applications. Students will learn the key concepts of various computational and statistical learning methods. Students will also gain hands-on experience on analyzing neural data using computer programs.

MEMS/NEMS technologies are adopted in a variety of mechanical, electronic devices and bio-sensors. This course introduces basic principles of conventional microfabrication techniques for MEMS device fabrication and includes their applications and some case studies. MEMS is a typical interdisciplinary research area so that the application of this course is expected to be extended to the research areas such as electronic engineering, biochemistry, chemistry, physics, medical science and etc.

This course provides detailed classical and quantum description of NMR theory. Emphasis is on spatial aspects of magnetic resonance, including discussions of basic image reconstruction, image contrast, diffusion and flow measurements, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included.

This course provides students with knowledge of the fundamental principles of the molecular and cellular biology of cancer cells. Students will learn the nature of cancer, the role of growth factors, cellular oncogenes, tumor suppressor genes, angiogenesis, metastasis, and signal transduction mechanisms in tumor formation. Principles of anticancer drug action and many aspects of immunology, neurobiology, developmental biology related to cancer will be discussed.

This course will review current research and publications related to cancer biology influenced by the tumor microenvironment. Students will understand current topics particularly in the impacts of tumor microenvironment on cancer biology for this semester. Students will be able to acquire basic knowledge in the crosstalk between cancer cells and tumor-stromal cells within the tumor microenvironment easily through a series of presentations and discussions following a brief lecture. ​

This course will deal with the characterization and analysis of biomolecules, such as nucleic acids, carbohydrates, and proteins in depth. This course will particularly focus on the fundamental understanding of various types of analytical tools, including electrochemical, chromatographic, spectroscopic, and spectrometric methods, to study the structures and functions of biomolecules. Instrumental details will also be discussed.

The primary goal of this course is to develop understanding of the principles of the physiological processes at the molecular level. This course will provide a timely summary of the molecular and cellular mechanisms underlying physiological processes. The structure-function relationship among signaling biomolecules will be discussed.

With the recent renaissance in mitochondrial biology and increasing recognition of their role in many important human diseases, this course will provide a timely summary of the current state-of-the-art mitochondrial research. This class covers structure and function of mitochondria, dynamics of mitochondria, and the biochemistry of oxidative stress and mitochondrial cell signaling. Mitochondrial implications of important human diseases such as neurodegeneration, cancer, aging, heart attack, and stroke will be discussed.

Linear Programming (LP) deals with the problem of minimizing or maximizing a linear function in the presence of linear equality and/or inequality constraints. Since the development of the simplex method, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. This course will introduce students to convexity, LP theory, simplex method, simplex method with bounded variables, Karush-Kuhn-Tucker conditions, duality, economic interpretation of dual variables, post-optimality analysis, Dantzig-Wolfe decomposition, computational analysis in LP, and interior point algorithms. Relevant LP applications and state-of-the-art optimization software will also be presented.

This course will introduce the learning theory of neural networks. We will start with basic principles such as empirical risk minimization, and study the relationship between error, sample size, and model complexity. Especially, we will learn how to represent the complexity of neural networks in terms of the covering number and VC dimension. We also study how the architecture of neural networks affects their expressiveness.

The objective of this course is to discuss how machine learning techniques can be exploited to build predictive models using the the data logged by information systems (e.g. the UNIST portal) during the execution of business processes (e.g. the procurement of large equipment with research funds), i.e. the so-called “process event logs”. Specifically, the course focuses on the prediction of aspects of interest of business processes, such as when a process will terminate or the next activity that will/should be executed, and on anomaly detection, i.e., understanding whether the data logged contain anomalies and how these can be fixed. The content of the course is compiled based on state-of-the-art research conducted by the teaching professor in his lab and recently published in top-notch academic conferences and journals on information systems and business process management.

This course is intended to provide an introduction to materials used in medical applications. It is designed for advanced undergraduate students and graduate students who have a basic knowledge in organic/polymer chemistry, physics, biochemistry and materials science. The main objectives of this course are (1) to provide the students with an understanding of the fundamental principles and language associated with current biomaterials research and issues associated with biomedical applications, (2) to train students to read the research literature with critical understanding. Due to the highly interdisciplinary nature of biomaterials science and engineering, students with broad interest in many facets of science and engineering are encouraged to join.