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Academics

Graduate Program

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
GBE4016 Advanced Statistics and Applications 3 6 Major Bachelor/Master 1-4 - No
This course aims to introduce more complex mathematical models and analysis methods based on basic knowledge in probability and statistics, and to apply the learned concepts and models to various fields. In particular, focusing on analyzing neuroscience data as a major application, we will deal in detail with various statistical techniques specialized therein. The expected effect of the class will be to apply various statistical analysis methods and models suitable for diverse (big) data, thereby developing core competencies in the field of artificial intelligence and data science, which are rapidly increasing in demand. Prior to taking this course, the prerequisite that students should be familiar is as follows: random variables, conditional probabilities, sampling distribution, normal distribution, hypothesis testing, linear regression model, simple differential equations. It is also assumed that students have already taken calculus, probability, and statistics-related subjects (biostatistics and big data). The prospective students of this course are senior undergraduate and graduate students, and depending the number of enrolled students, the class will project-based to encourage students to actively participate in the class. The lectures focus on developing intuitions behind statistical models and techniques and their applications to neuroscience, rather than mathematical details.
GBE4017 Introduction to Computational Neuroscience 3 6 Major Bachelor/Master English Yes
Biological agents interact with the environment under certain operational principles at the level of individual neurons to behavior as a whole. The course will cover a wide range of computational approaches used in neuroscience to understand design principles at all levels. The course will have simple coding projects in Python or MATLAB, which will instantiate the concepts discussed in the class. Although the lecturer will focus on concepts and try to make the math-light class, having a linear algebra and calculus background will help in doing coding implementing mathmematical concepts for the projects. The course will be taught in English.
GBE4018 AI psychophysics 3 6 Major Bachelor/Master 1-4 English Yes
The main goal of this course is two-fold: on one hand, students are expected to get a better understanding of how the brain generates natural intelligence through lens of artificial intelligence (AI). On the other hand, students will attempt to reverse engineer the brain and build a better AI by mimicking how the brain instantiate natural intelligence. The following neural network models (deep learning) will be used in a variety of behavior domains. - Convolutional Neural Network: Image classification, numerical cognition - Recurrent Neural Network: perceptual decision making, interval timing - Transformer: relational inference - Reinforcement learning: value-based decision making After introducing fundamentals of the neural network models, students will participate in a hands-on project where they design a cognitive task and experiment for both human and AI, collect behavior data, and compare human with AI to gain insights about what is missing in the current AI and how AI can be improved to achieve human-level natural intelligence. The following books will be also covered in the class. - Summerfield, Christopher. Natural General Intelligence: How understanding the brain can help us build AI. Oxford University Press, 2022. - Lee, Daeyeol. Birth of intelligence: from RNA to artificial intelligence. Oxford University Press, 2020.
GBE5004 AdvancedAnatomy & Physiology 3 6 Major Master/Doctor 1-8 - No
This course is designed for graduate-level students. This class will deal with human anatomy and physiology. Students who did not take any anatomy and physiology related courses, strongly recommend to take this class. We will discuss basic human anatomy and physiology as well as recent advances in anatomy and physiology.
GBE5005 Advanced Biomedical Signal Processing 3 6 Major Master/Doctor 1-8 - No
Advanced Biomedical Digital Signal Processing aims to an advanced understanding of signal processing theories for analyzing real world digital signals. It covers digital signal processing including an optimal digital-filter design and mathematically derived algorithms for analysis of stochastic signals, spectral analyses, noise cancellation, and so on.
GBE5006 Brain Mapping Ⅰ 3 6 Major Master/Doctor 1-8 - No
This coursecovers magnetic resonance imaging-based brain mapping tools, focusing on functional MRI, diffusion tensor imaging, resting state fMRI, and perfusion imaging. Lecturesandliteraturereviewwillbecombined. Students will learn principles, methodologies, analyses, and sample applications, so that they are better equipped to understand the literature in MR-based neuroimaging and to conduct their own studies.
GBE5007 Brain Mapping Ⅱ 3 6 Major Master/Doctor 1-8 - No
This coursecovers commonly-usednon-MR-based multi-modal tools such as unit recordings, electroencephalography (EEG),magnetoencephalography (MEG), optical imaging, and positron emission tomography (PET). Students will learn principles, methodologies, analyses, and sample applications of brain imaging, so that they are better equipped to understand the literature in this field and to conduct their own studies.
GBE5008 Advanced Neuroscience Ⅰfor Biomedical Engineer 3 6 Major Master/Doctor 1-8 - No
This course is designed for graduate-level students. This course delivers basic neuroscience knowledges and discuss recent advances in neuroscience. In particular, this course will discuss neurobiology, synapses, and action potential generation.
GBE5009 Advanced NeuroscienceⅡ for Biomedical Engineer 3 6 Major Master/Doctor 1-8 - No
This course is designed for graduate-level students. We will deliver basic knowledges for broad aspects of neurosciences. In addition, we will discuss recent advances in neuroscience. We will focus on system neuroscience, cognitive neuroscience. Prerequisite class for this class is Advanced Neuroscience I.
GBE5010 Advanced computational Neuroscience 3 6 Major Master/Doctor 1-8 - No
Computational neuroscience is the study that understands brain functions as information processes. It provides frameworks for understanding computations in single neural activities and neural population responses, through computer simulations. The class will overview computational models for single neuron, sensory processing, and motor processing. Special emphasis will be put on encoding and decoding models for sensory-motor transformation.
GBE5011 Advanced cognitive Neuroscience 3 6 Major Master/Doctor 1-8 - No
‘Cognitive Neuroscience’ covers the cognitive and neural processes that support attention, memory, decision making, and consciousness. It explores neuroanatomy, behavioral measurement and methodology by which neural basis of cognition is investigated.
GBE5012 Advanced Neurotechnology 3 6 Major Master/Doctor 1-8 - No
This graduate course covers engineering technologies for neuroscience research in-depth. This course introduces cutting-edge topics in technical development for neuroscience, reviews seminal research outcomes, and discusses their significance and limitation. Furthermore, students propose their own ideas and write a research proposal.
GBE5013 Advanced neurological Diseases 3 6 Major Master/Doctor 1-8 English Yes
This class offers an introductory course for understanding basic underlying mechanism of neurological diseases. Main interests of this class is for learning basic mechanism of epilepsy, stroke, Alzeheimer's disease, Parkinson's disease and chronic stress. This class also introduces the newest trends of new tretamnet developments.
GBE5016 Advanced Computer Methods in Bioinstrument Design 3 6 Major Master/Doctor 1-8 - No
In this course, 3D Kinematics and Kinetics using commercially available software will be discussed. The goals of this course are to provide students with following: basic principles and applications of bioinstrument design and analysis technique using FEM, AutoCad, Computational Dynamics as well as optimization.
GBE5021 Advanced Physics for Medicine and Biology 3 6 Major Master/Doctor 1-8 - No
Physics for Medicine and Biology aims to introduce physical concepts and theories that are needed to understand some topics of medicine and biology in terms of physics and mathematics. It covers some basic concepts and theories in mechanics (including fluid mechanics and thermodynamcis), electromagnetics, optics, atomic physics, and nanotechnologies that are recently gaining much interest.