National Taiwan University

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.

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.

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.

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. 

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. 

This course examines why and how we should integrate social sciences and genomics to understand societies and human behaviors. The course covers the following topics: introduction to molecular genetics; polygenic scores; gene-environment interaction; epigenetics; ancestry, race, and ethnicity; sex and gender; precision medicine, and ethical issues in genetic studies.

Based on the changes of computer technology and the role of humans on products in the market. The course focuses on studying the experience of using a product. This course targets a chosen topic, and through three steps of procedural design practices, students understand multiple design methods while developing creative thinking. The course will based around the topic provided by the CHI Student Design Competition: https://chi2016.acm.org/wp/student-design-competition/

This course examines Taiwan’s economic development from about 1860 to the present. The course is organized topically (and roughly chronologically); it begins by examining Taiwan’s important crops (tea, sugar and rice) and how these affected Taiwan’s economic development from roughly 1860-1970. Then the course briefly looks at the development of Taiwan’s natural resources. Finally,  the course discusses Taiwan’s rise as a manufacturing power - noting Taiwan's first labor-intensive manufactured export, woven hats, which were produced and exported in the pre-war era, but then mainly focus on Taiwan’s post-war export boom and its modern growth, particularly the electronics industry. Students participate in six group projects based on the readings listed; these groups will usually be randomly assigned. 

This course focuses on how to: construct daily issues that the political system faces, design all kinds of possible solutions, evaluate and choose from the most feasible, efficient, and effective solution; to establish the environment with multiple unions and pave the way for rationalizing policies; to interpret, organize, and apply the abstract policies into concrete actions; to evaluate the ultimate production of the policies, and the potential impacts on the relevant facets of the political system,; and to make necessary policy changes to make space for the lasting survival of policy layout. Texts: Yongbo Lin, Shixian Zhang. THE EVALUATION OF THE TB POLICY CHANGE IN TAIWAN; Considine, M. MAKING PUBLIC POLICY; Dunn, W. N. 2004 PUBLIC POLICY ANALYSIS. Assessment: Participation (10%), midterm (40%), report (35%), journals (15%).

The course examines the concepts and theories of computer vision and introduces their application. The course entails research on the algorithm and computing architecture and completion of a software simulation. The course covers: image formation; image processing; feature detection and matching; segmentation; feature-based alignment; structure from motion; dense motion estimation; computational photography; stereo correspondence; 3D reconstruction; and recognition.