For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CON3019 | Retail Management | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| Understanding retailers’ marketing and management strategies based on consumer types and further examining their influences on consumer behaviors to figure out the way of desirable consumptions increasing consumers’ purchasing power. | |||||||||
| CON3020 | Application of consumer quantitative research method | 3 | 6 | Major | Bachelor | 3-4 | Korean | Yes | |
| Data analysis via liear models and logistic regression. Provides preparation for more advanced cources in big data analysis. Statistical software is integrate into the course. | |||||||||
| CON3025 | Management of Consumer Credit | 3 | 6 | Major | Bachelor | 3-4 | Korean | Yes | |
| Understand the financial market and financial products and services for consumer credit and borrowing and pursue the improvement of debt and credit management capability of financial consumers. | |||||||||
| CON3026 | Consumer Capacity Development | 3 | 6 | Major | Bachelor | 3-4 | Korean | Yes | |
| Learn the concept of consumer competency and practice designing consumer competency development programs for various consumer groups. | |||||||||
| CON3030 | Consumer Psychology and Behavioral Economics | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This course introduces recent developments in economic psychology and behavioral economics and their applications to consumer choice. Students learn about the concept of bounded rationality and examples concerning impulsive decision making, and explore how bounded rationality emerges in the marketplace. This course takes a broader perspective that encompasses psychology, cognitive science, and the evolutionary theory in explaining irrational consumer behaviors. | |||||||||
| CON3031 | Statistical Programming For Consumer Science | 3 | 6 | Major | Bachelor | 2-4 | Korean | Yes | |
| This course provides an introduction to statistical programming in the R and SAS environments. Students will learn about data input/output, data formats and types, data management, loops, conditional execution, and exploratory data analysis, as well as functions for statistical modeling and inference. This course might cover SQL coding in the SAS environment or matrix operations using the SAS/IML package, depending on class progress. | |||||||||
| CON3032 | Consumer Big Data Analysis | 3 | 6 | Major | Bachelor | 2-4 | English | Yes | |
| Introduction to machine learning for consumer science. This course covers foundational concepts in machine learning such as overfitting, cross validation, and bias-variance tradeoff, and application of machine learning algorithms to consumer big data analysis. | |||||||||
| CON3033 | Text Mining for Consumer Science | 3 | 6 | Major | Bachelor | 2-4 | Korean | Yes | |
| This course provides an introduction to text-mining technique in the R environment. Students will learn about pre-processing, semantic network analysis, and LDA topicmodeling. The techniques will be applied to analysis consumer-generated text data and help students suggesting meaningful implications for consumers. | |||||||||
| CON3034 | Consumer Dispute Resolution | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| This course delves into quasi-judicial consumer dispute resolution within the realm of consumer law and policy, offering direction for the advancement of consumer sovereignty to bolster empowerment and enhance rights. | |||||||||
| CON4001 | Consumer Internship2 | 3 | 6 | Major | Bachelor/Master | 1-4 | Consumer Science | - | 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 | Consumer Science | - | 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. | |||||||||
| CON4003 | Consumer Internship4 | 5 | 10 | Major | Bachelor/Master | 1-4 | Consumer Science | - | 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. | |||||||||
| CON4004 | Consumer&MarketAnalysis | 3 | 6 | Major | Bachelor/Master | Consumer Science | 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 | Consumer Science | 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 | Consumer Science | Korean | Yes | |
| 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. | |||||||||