For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| GBE5061 | Trends in Computational Psychiatry | 3 | 6 | Major | Master/Doctor | 1-8 | Biomedical Engineering | - | No |
| his class is designed to introduce graduate students a recently emerging new field called ‘computational neuropsychiatry’, and mainly to educate the students to have a real sense how to bridge between neuroscience and the practical clinical fields. In particular, it aims at introducing trends in various topics regarding to theoretical models, computational approaches and research designs at the junction between cognitive and clinical neurosciences. It will also provide several important applications how the big data science and machine learning techniques have recently shape to advance this field. This class will proceed a periodical and interleaved course system between an instructor’s lecture for background introduction and graduate student’s presentation of seminal papers. This design is to maximize both a trainee’s understanding level of domain-specific knowledge and dicussion participation. The class will be an absolute grading system, determined by weekely article review assignments (1 page of pros-cons comments and summary) and formal presentation (1-2 times per semester) as well as class participation. | |||||||||
| GBE5062 | Trends in network neuroscience | 3 | 6 | Major | Master/Doctor | Biomedical Engineering | English | Yes | |
| In this class, we will discuss both basic theories and up-to-date models in network neuroscience within its historical contexts, in a mixed format of lectures and journal club. They will cover various topics related to cognitive neuroscience, statistics and mathematics based on the seminal papers in the field, while introducing multiscale approaches ranging from single neurons, local circuits and large-scale brain networks to understand their underlying structures and functional dynamics. Moreover, based on this knowledge, we will also study a current trend of modeling approaches for neuronal activities and their interactions along the brain network. This class aims that the graduate students could grasp and apply some of advanced concepts and techniques in network neuroscience to their own proejcts. | |||||||||
| GBE5063 | Neurophysiology seminar | 3 | 6 | Major | Master/Doctor | Biomedical Engineering | - | No | |
| The main goal of this course is to introduce seminal research papers in neurophysiology for graduate students majoring in brain and cognitive science, and to provide insights into ongoing research conducted by students through a deep understanding of the seminal work. In particular, focusing on papers that used non-human primates as animal models, it will cover a wide range of papers from the time when neuroscience is born to the latest. This course will be conducted in the form of a seminar in which students read papers in advance, present key contents, and discuss the historical contributions and limitations of research papers. Through such a seminar format, students will learn and simulate how to present their research in academic environment and how to communicate through the question-and-answer process. Another expe | |||||||||
| GBE5064 | Advanced decision-making neuroscience | 3 | 6 | Major | Master/Doctor | Biomedical Engineering | - | No | |
| The brain receives external sensory inputs, and decides specific actions to obtain nutrients and fun. In this course, students will learn recent advancements in neuroscience of decision-making by paper presentations and discussions. | |||||||||
| GBE5065 | Seminar on Numerical Cognition | 3 | 6 | Major | Master/Doctor | 1-8 | Biomedical Engineering | English | Yes |
| The main goal of this course is to introduce seminal research papers in numerical cognition for graduate students majoring in brain and cognitive science, and to provide insights into ongoing research conducted by students through a deep understanding of the seminal work. It will cover a wide range of papers from human behavior and neuorimaging, developmental psychology, ecology, neurophysiology, and computational models based on deep learning as follows (related major authors are also listed). 1. Human behavior: Burr, Gallistel, Piantadosi, Butterworth, Kadosh 2. Human neuroimaging: Harvey, Dumoulin, Dehaene 3. Developmental psychology: Carey, Spelke, Feigenson 3. Ecology and comparative psychology: Brannon 4. Neurophysiology: Nieder 5. Computational models: Changuex, Zorzi, Nasr, Paik, Park This course will be conducted in the form of a seminar in which students read papers in advance, present key contents, and discuss the historical contributions and limitations of research papers. Through such a seminar format, students will learn and simulate how to present their research in academic environment and how to communicate through the question-and-answer process. Another expected effect of this course is to understand how the seminal studies in numerical have created new scientific ideas and made discoveries given technical limitations and theoretical backgrounds. | |||||||||
| GBE7002 | Advanced Neurobiology Research MethodsⅠ | 3 | 6 | Major | Bachelor/Master/Doctor | Biomedical Engineering | - | No | |
| This class is an advanced class of neuroscience and neurobiology in graduate courses. This class discusses basic neurobiology and basic skills for carrying out graduate level researches. | |||||||||
| GBE7003 | Biomaterials Instrumental Analysis | 3 | 6 | Major | Bachelor/Master/Doctor | Biomedical Engineering | English | Yes | |
| This subject consists of mechanism, applications, managing of Analysis equipments in the field of BME for under graduate students. This subject is mainly focusing on how to use analytical instruments. | |||||||||
| HST5019 | Molecular Cell Biology 1 | 3 | 6 | Major | Master/Doctor | 1-4 | Health Sciences and Technology | Korean | Yes |
| Purpose of this lecture is to understand cellular phenomenon at the molecular level. It will provide young scientists with fundamental knowledges of various biological researches such as biochemistry, genetics, and oncology. | |||||||||
| HST5066 | Seminars of Distinguished Scientists 2 | 3 | 6 | Major | Master/Doctor | 1-4 | Health Sciences and Technology | English | Yes |
| In this course, distinguished biomedical professionals will be invited to give a lecture on their sciences. It will help students understand biomedical knowledge. Invited areas will include BT, NT and IT that are associated with Health Science & Technology. | |||||||||
| IPH4001 | Understanding Magnetic Resonance Imaging | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| Understanding Magnetic Resonance Imaging (MRI) aims to provide an understanding of essential principles and concepts of MRI from the physical and mathematical perspectives. It deals with the principles of MR signal and image generation, as well as the essential concepts and theories of data acquisition and image reconstruction. | |||||||||
| IPH4002 | Artificial Neural Circuits | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| In this course, students will learn the rising domain of artificial neural circuits. First, students will learn why artificial neural circuit is needed and how it is different from the original neural circuits. Second, students will learn how to design artificial neural circuits. Third, students will learn how the artificial neural circuits are utilized and how they interface with the original neural circuits. | |||||||||
| IPH4003 | Recent advancements in systems neuroscience focusing on decision making | 3 | 6 | Major | Bachelor/Master | - | No | ||
| Decision-making is a complex mental process based on past memory and current sensory information. In this course, students will learn how the underlying mechanisms of decision making focusing on the experimental results from animal studies. In every class, the instructor will give a short explanation about the methods or concepts, followed by 2-3 paper presentations and discussion. | |||||||||
| IPH4004 | Affective Neuroscience Basics | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| Joyful, happy, sad, angry, disgusting, painful, bored... we experience these emotions all the time, and these experience keep changing every moment. How can we "define" emotions? How can we "study" emotions? What are the "bodily factors" that influence emotions? How we "measure" bodily response of emotions? What are the "brain representations" of emotions? Are emotions same with affect or feelings? How can we model the "dynamics" of emotions? What are the underlying problems in emotional disorders, like anxiety and depression? etc. There are so many interesting questions about emotions. In this class, you will learn some key topics of affective neuroscience. | |||||||||
| IPH5001 | Medical Imaging Systems in Precision Medicine | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| Advanced medical imaging systems such as MRI, CT, Ultrasound, PET etc are cornerstones of precision medicine in modern medical systems, playing a decisive role of accurate diagnosis and monitoring after treatment of diseases. In this course, we will discuss how they work in principle and how they can be used for clinical applications as well. | |||||||||
| IPH5002 | MRI-Based Diagnoses in Precision Medicine | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| We can’t overexaggerate the importance of accurate diagnosis of diseases in precision medicine. In a modern medical system, in particular, advanced medical imaging systems play a critical role for the accurate diagnosis. Among them, magnetic resonance imaging (MRI) has advantages of providing high spatial resolution with various image contrasts and no radiation exposure over other imaging modalities. In this course, we will discuss a variety of MRI-based diagnostic techniques especially from a standpoint of both engineering and clinics. | |||||||||