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Recent advances in genomics have significantly revolutionized the ways which we do science in the 21st century. With the completion of the human genome, the new genome technologies have transformed our ability to understand the structure and function of genomes and to explore the genomes of multicellular organisms. This course is designed to introduce undergraduate students, who are interested in this exciting and rapidly evolving field, the basic knowledge of genome and the state-of-the-art genome technologies. The lectures will cover an introduction on genome projects, sequencing technologies, genetic variation, transcriptomics, proteomics, functional genomics, comparative genomics, metagenomics and epigenomics.
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This course discusses agricultural water resource planning issues and related subjects. The course covers agricultural water usage, irrigation water usage estimation, irrigation methods, irrigation regulation, irrigation management; agricultural water supply (source, pump, water rights, effective rainfall); water shortage risk analysis and planning assessment. Other topics include relationship between water, soil, and crops; effective rainfall, irrigation system configuration; and regional irrigation of crops.
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Since the industrial revolution, the global population has flowed extensively and rapidly into the cities, and more than half of the world's population has lived in cities today, and the population of more than 10 million megalopolises is growing. The various aspects of urban life have already constituted an important collective experience of contemporary human life. This course focuses on the contemporary 21th century Taiwan metropolis that brings together a large number of people, goods, money and information, representing the possibility of various development imagination. This course objective is to analyze the issues of urbanization as a large number of people and objects coexist at the same time. These issues include questions of infrastructure, transport network, land use, public safety, class differences, multicultural and even biodiversity planning and design issues. Issues of city governance and growth constitute a major challenge which this course attempts to provide practical solutions for. Simultaneously, this large number of people, the aggregation of things, also lead to the expansion of risk, how the contemporary city of extreme weather and man-made disaster is not only an unavoidable subject but also a threat. There is also a complication of a gradual increase in health care needs as the consequences of the large migration into cities. Throughout this semester students will analyze, research, discuss and draft up proposals to these urbanization issues found in Taipei, Taiwan. By the end of the course, students will have completed proposals to the Taiwanese government that address these socials issues and will post physical copies of their proposals in the main lobby of Taipei City Hall.
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The purpose of this course is to equip students with the ability to: First, to establish a basic understanding of international organizations, including their history, operations and interrelationships. Second, understand the current situation, limitations and prospects of the country's participation in international organizations. Third, arouse the enthusiasm of young people to participate in the affairs of international organizations, and even to work in international organizations. Fourth, when planning their future career, young people can take into account the direction of international organizations and transnational orders.
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This course is the first of a two-semester integrated course. This course aims to establish the basic knowledge of political science and give a preliminary and detailed introduction to important political concepts. This course will assign different English readers according to the progress of the course. Students are requested to read according to the progress of the course and participate in the discussion during the class.
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This course is aimed at students who are studying molecular biology for the first time. Molecular biology is an indispensable common language for explaining life phenomena in various fields of biology. The teaching content is divided into three parts: DNA, RNA, and protein, which are taught by Zhang Li, Shen Tanglong, and Lv Yiru from the Zhiwei Department.
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Taiwanese is one of the most important language in Taiwan, it's also the ethnic language for most Taiwanese. This course is based on Elementary Taiwanese I, yet it's a non-intensive course for beginners. At the end of the course, students are expected to use Roman alphabets to spell Taiwanese, and students can read, write, speak and listen for daily use.
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This course introduces key issues involved in the development of intelligent robotics. It explores issues on spatial transformation, kinematics, software control architectures, sensing, localization, and navigation. Robotics programming theory is backed by programming three types of robots: Pioneer ground vehicle, robotic arm, and a flying drone. Assessment: homework, exams, and a final project.
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Does income inequality lead to political polarization? Is social class related to parenting? What accounts for income inequality between ethnic groups in the labor market? We will use statistics and programming to answer these questions throughout the semester. This course introduces tools to summarize the characteristics of data and offers methods to draw conclusions about population from samples. This course focuses on applying statistics, analyzing data, and interpreting results. Although very basic calculation skills are required (e.g., +, -, ×, ÷, √), you do not need further mathematic knowledge to be successful in this class.
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This course focuses on the design and analysis of algorithms and their applications, as well as the development of problem-solving techniques. The course covers: Algorithmic fundamentals: mathematical foundations, growth of functions, recurrences; Sorting and order statistics; Data structures: heap, binary search trees, RB trees, disjoint sets; Advanced design and analysis techniques: dynamic programming, greedy algorithms, amortized analysis; Graph algorithms: graph representations, searching, minimum spanning trees, shortest paths, network flow, matching (14 hrs); Computational complexity, NP-completeness, and approximation algorithms, and as time permits, general-purpose algorithms: simulated annealing and machine learning.
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