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This course surveys various abnormal behaviors and mental disorders. The first part of the course introduces the major psychological theories (Psychodynamic Theory, Learning Theory, Cognitive-Behavioral Theory) as well as the biological and socio-cultural theories which explain the phenomena, causes, and treatment of abnormal behaviors and mental disorders.
In the second part, various phenomena and classification systems of mental disorders are presented. The focus is on psychological causes of various types of mental disorders: disorders related to anxiety, mood, and personality, somatoform disorders, dissociative disorders, schizophrenia, sex-related disorders, eating disorders, sleep disorders, alcoholism, mental disorders in childhood or adolescence.
In addition, the course covers the proper treatments for mental disorders as well as how to improve mental health in general.
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This course introduces theories and practices on technology startup to students majoring in technology management or engineering. The course provides students with the basic knowledge needed to start a technology-oriented business or prepare career path related to the technology start-up ecosystem in the future. Topics include entrepreneurship, business planning, financing, and other related topics such as laws, finance & accounting strategy, and intellectual property rights.
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In this course the possibilities of new forms of expression are explored and expanded on by using different materials and composite techniques, such as the heterogeneity of oil and water, composites of drawing and printing, and the incorporation of conventional images.
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This course provides a psychological perspective on how to live a good life. To this end, this course consists of three main themes: 1) happy life, 2) meaningful life, and 3) dignified life. A happy life consists of sub-themes such as the definition and measurement of happiness, the components of happiness, the consequences of happiness, the characteristics of a happy state and society, and the characteristics of a happy individual. A meaningful life consists of themes of meaning, source of meaning, goals and achievements, and self-control, and finally, a dignified life consists of sub-themes of virtuous living, human rationality and diversity, and healthy framing.
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This course explores users as humans who are changing/expanding in the AI era, exploring the limitations of recent AI services, and then designing user-centered AI services. Students learn methods to understand users, and then define user interfaces and their interaction. Prototyping techniques and evaluation methods are also provided. Service design is carried out at the level of expressing ideas, not at the level of actual driving.
In particular, this class is conducted with a focus on practice rather than lecture-style delivery, and coaching for each process customized for each team is carried out through close interviews and discussions. In addition, the course benchmarks related services in depth from the perspective of actual business to identify limitations and opportunity points and carry out a process to turn them into deliverable results. There are no special technical/technical prerequisites required for this course, however, students must be proactive and enthusiastic about participating.
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This course surveys and introduces topics vital to understanding our planet.
The Earth is composed of four major systems, such as geosphere, hydrosphere, atmosphere and biosphere, which govern the surface processes and internal dynamics of the Earth. This course explores Earth processes of crustal evolution, environmental changes, and biotic successions since its formation as a planet.
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This course covers the technical foundations of photography and the unique aesthetic experiences it offers, incorporating aspects of photographic philosophy, media aesthetics, and the use of AI generators in various projects. Topics also include innovative photo projects utilizing AI generators and keeping pace with evolving media trends. Through this exploration, students examine the linguistic value and role of photography across fields such as research and business.
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This course theoretically examines the macroscopic role that entrepreneurs and entrepreneurship play in the market economy and examines management theories about individual and organizational-level phenomena that affect entrepreneurship, for example via management case studies. The scope of this class is not a simple livelihood-type entrepreneurship, but opportunity-capturing entrepreneurship that creates new market value. Topics include History of the Startup Ecosystem in Korea, Entrepreneurship vs Management, Opportunity recognition, Numbers and Venture Capitalists, Business Model and Competitor Analysis, Consumer Behavior, Business Models Topology and Big Data, and more.
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This course covers concepts and characteristics required to build and operate a smart factory to improve manufacturing competitiveness. Students first learn about the composition and functions of the 4th Industrial Revolution and smart factories, then examine the general concept of factory automation and learn about the basic components of factory automation such as control systems and PLCs. The course covers functions of corporate information systems such as ERP, MES, APS, and PLM, and concepts of smart factory digital platforms and big data-based decision-making required for intelligent factory operation.
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This course covers the application of management science methodology to various decision-making problems in the agricultural and food industry, models them mathematically, and derives optimal strategies. The course enables students to actually apply and discuss management science methodology to corporate cases related to the agricultural and food industry. Specifically, in this course, students acquire theoretical models for linear programming, network models, integer programming, nonlinear programming, multi-objective decision-making, decision-making under uncertainty, simulation, and queueing, and learn how to analyze them. In addition, it enables students to apply management science methodology to topics such as agricultural cultivation, food distribution and supply chain, and agricultural and food production planning, and derive and interpret results.
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