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Course&Curriculum

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
CHS7002 Machine Learning and Deep Learning 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
This course covers the basic machine learning algorithms and practices. The algorithms in the lectures include linear classification, linear regression, decision trees, support vector machines, multilayer perceptrons, and convolutional neural networks, and related python pratices are also provided. It is expected for students to have basic knowledge on calculus, linear algebra, probability and statistics, and python literacy.
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
CHS7004 Thesis writing in humanities and social sciences using Python 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages ​​and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing.
CHS7005 Consumer Neuroscience 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
A new market and consumer research methodology, consumer neuroscience method, will be explored in this class. Understanding consumers’ brain responses to brand using eyetracker and functional near infraredspectroscopy experiments is a goal of this study. Eyetracking and fNIRS will provide a new means of measuring brand equity as consumers’ brain responses will reflect their attitude, engagement, and and loyalty.
CON4001 Consumer Internship2 3 6 Major Bachelor/Master 1-4 - No
Learn and practice methods of consumer-related big data analysis including text mining, opinion mining, keyword analysis, and logit analysis, and provide insight to solve the problems of consumers.
CON4002 Consumer Internship3 4 8 Major Bachelor/Master 1-4 Korean Yes
Learn and practice methods of consumer-related big data analysis including text mining, opinion mining, keyword analysis, and logit analysis, and provide insight to solve the problems of consumers.
CON4003 Consumer Internship4 5 10 Major Bachelor/Master 1-4 Korean Yes
Learn and practice methods of consumer-related big data analysis including text mining, opinion mining, keyword analysis, and logit analysis, and provide insight to solve the problems of consumers.
CON4004 Consumer&MarketAnalysis 3 6 Major Bachelor/Master Korean Yes
This course provides a well-grounded understanding of consumer market and business strategies that contribute to consumer wellbeing as well as profitability of companies. Specifically, students implement the macro environmental analysis and major companies’ 4P(product, Price, Promotion, Place) analysis, and conduct consumer survey. Based on the results, students practice product development and establishment of marketing strategy.
CON4005 Product Anatomy and Consumer Studies 3 6 Major Bachelor/Master Korean Yes
To develop capabilities as a product development and planning expert, students learn how to systematically decompose and analyze the components and attributes of products from various angles, and generate ideas for developing consumer-oriented new products.
CON4010 Prosumer and Platform Economy 3 6 Major Bachelor/Master - No
Based on understanding the fundamentals of platform economy and the role of consumers as a provider and buyer, evaluate current platform economy, and pursue improvement of platform economy in terms of economic well-being of prosumers.
CON4011 Understanding Financial Consumers 3 6 Major Bachelor/Master Korean Yes
Understanding financial consumers’ psychological characteristics and financial decision making, and seeking alternatives to improve their financial capability and financial wellbeing.
CON5001 Studies in Consumer Policy 3 6 Major Master/Doctor 1-4 Korean Yes
valuation of consumer policies in Korea by understanding the principles and logics in intermediary roles of government and consumer policies in OECD countries.
CON5002 Studies in Consumption Trends 3 6 Major Master/Doctor 1-4 - No
In-depth examination of literature on consumption trends and evaluation of trend strategies in marketing to investigate how the trend strategies influence on consumption culture in the long run.
CON5004 Quantitative Method for Consumer Research 3 6 Major Master/Doctor 1-4 Korean Yes
study on research methods and statistical analysis for dissertations and researches in comsumer science.
CON5005 Advanced Methods in Consumer Research 3 6 Major Master/Doctor 1-4 - No
Advanced research tools from quantitative to qualitative methods appropriate for the study of consumer.