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This course covers the human microbiome and the interactions these microorganisms have with the human body and with disease. Students explore the pathological mechanism of disease by learning about the morphological and functional changes in each organ tissue due to the cause, developmental mechanism, and progression of diseases occurring in the human body. Topics include the microbe-human ecosystem, microbial interactions, host-microbe interactions, normal microbiota, the formation of the human microbiome, maternal microbes, gut microbes, digestive infection systems, pro- and prebiotics, etc.
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This course introduces the definition of chronic diseases and major diseases and covers the frequency and distribution of chronic diseases and major risk factors. It also analyzes major issues and research cases related to the prevention and management of chronic diseases and discusses projects and policies for health promotion.
Students will be able to describe the pathogenic sequence of events associated with development of major chronic diseases (cardiovascular disease, diabetes, cancer, osteoporosis and arthritis); understand risk factors for major chronic diseases; and identify factors that are associated with increased risk of major chronic diseases.
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This course covers the fundamentals of mechanical design for devices and systems, including an examination of economic and manufacturing viability.
Students will learn various design approaches for real engineering problems and, through team and individual projects, will participate in an entire design process from a sketch to a performance test. At the end of the course a contest will be held as a performance test for designed products.
Topics include fostering creative mechanical design skills, fostering creative implementation skills of product design, collaboration and teamwork skills, concept design, 2D and 3D design, machining and manufacturing skills, and how to create an effective presentation.
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This introductory Python algorithms course is designed for beginners in Python programming. Conducted online, this course excludes difficult mathematics and complex code, allowing students to directly code and debug basic algorithms. The course will be conducted slowly and in detail to accommodate coding novices.
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This course covers the mechanics of rigid and deformable solids in equilibrium and is a continuation of the material introduced in Solid Mechanics 1. Students will learn how to apply fundamental physical considerations which govern the mechanics of solids in equilibrium to solve any engineering problems such as beam deflection, torsion, buckling etc. Topics include: Review from Solid Mechanics l; transverse shear; combined loading; stress transformation; strain transformation; deflection of beams and shafts; buckling of columns; energy methods.
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This course provides a comprehensive and rigorous treatment of Thermodynamics from an engineering point of view. The foundation for the use of conservation equations will be developed by taking a general approach to the solution of a number of interdisciplinary engineering problems. This will help in gaining a better understanding of more specific fields such as fluid mechanics and heat transfer.
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This course explores the complex interactions between international politics and the global economy, encompassing subjects ranging from geopolitics, security, climate change, global financial systems, and the impact of technology on international trade.
Students will examine the evolving dynamics of international political economies to navigate the complexities of global economic policymaking process, through a thorough engagement with current case studies to understand the impact of economic decisions on global political structures and vice versa.
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This course introduces the basic mechanisms of global management and basic concepts of international management.
Topics include globalization; national differences in political, economic, and legal systems; differences in culture; the competitive environment; foreign direct investment; developed vs. developing markets; exporting, importing, and countertrade; global production and supply chain management; and global marketing and business analytics.
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This course introduces the recently emerging fields of decision-making neuroscience and neuroeconomics. Topics include the core elements of the brain mechanism related to decision-making, such as dopamine function, approach and avoidance circuits, value calculation, and the dilemma of stability versus flexibility. In addition, this course covers the neuroscientific model of decision-making and how to understand and apply it to various choices in everyday life.
This course is intended for advanced-level undergraduate students who have completed an introductory psychology course and are familiar with basic terms in neuroscience and elementary statistics.
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This course buildes competency in understanding and interpreting a range of different research methods and results. Through the analysis of various research papers, students will need to use critical thinking and logical reasoning to either agree, disagree, or seek further clarification of conclusions provided in the research discussion sections.
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