[Lectures] This course is to introduce the fundamentals and methodology on research of molecular evolution. We will introduce the evolutionary changes and patterns of sequences, methods for phylogenetic analyses, and inferring sites under positive selection. Topics on recent advances of molecular evolution studies will be offered at the end, on phylogenomics, horizontal gene transfer, and genome evolution. Students are highly recommended to take evolution, genetics or equivalent subjects before taking this course. Laboratory practice will be offered for students to be familiar with data retrieving, analyses and interpretation. Homework assignments will be distributed weekly, which require substantial extra work time. [Laboratory Practice] We will have computers available in class, but you are welcome to bring your own laptop computer. In the later case, you should download the corresponding software before the class. Date sets will be provided for the homework assignments but you are welcome to use your own data for the final presentation project. In combination with the computer laboratory practice, we aim to help our students to understand the evolutionary processes at the molecular level. College of Life Science Main Campus Biology; Evolutionary Biology; Genetics or equivalent preferred. Chau Titing 40 Monday 3,4,5 EEB5087 (B44EU1990) 3 (College of Life Science) Institute of Life Science,
(College of Life Science) Institute of Ecology and Evolutionary Biology,
(College of Life Science) Department of Life Science http://ecology.LifeScience.ntu.edu.tw/english/index.htm

This course aims to teach the fundamentals of biological mass spectrometry with particular focus on applications to proteomics and analysis of protein modifications. The course will begin with an introduction to the general aspects of mass spectrometry-based peptide sequencing and protein identification, along with recent technological developments in the context of advancing quantitative shotgun proteomic analysis. Current perspectives in global versus directed analysis, speed versus depth in proteomic coverage, will be discussed. This will then be followed by introducing the practical aspects of MS analysis of select protein modifications, at both the levels of single targeted protein of interest and the proteomic scale. Topics include phosphoproteomics; lysine modifications such as acetylation, methylation, ubiquitination, and SUMOylation; cysteine modifications such as oxidation, glutathionylation and S-nitrosylation; and glycosylation. The last further accompanied by an overview of MS-based glycomics and glycoproteomics. College of Life Science Academia Sinica Opens to life science Master and PhD Students, as well as keen senior undergraduates major in Biochemistry, who have a basic knowledge of protein chemistry and structures, and the commonly found modifications. No absolute prerequisite is set but will be advantageous and encouraged to have first taken one or more of the core courses offered at 生化所 in the first semester eg 蛋白質修飾機制與細胞訊息；結構生化學. Chemistry graduates interested in biology and major in chemical biology are also encouraged and accepted. Kay Hooi Khoo 30 BChem5027 (B46EU0840) 2 (College of Life Science) Institute of Biochemical Science,
(College of Medicine) Graduate Institute of Medical Genomics and Proteomics http://homepage.ntu.edu.tw/~ibs/english/e_index.html

This is an academically-focused course designed to increase students’ understanding of international law related to disability from a human-rights-based perspective. The United Nations Convention on the Rights of Persons with Disabilities (UN CRPD) will play a central role in study throughout the semester. Two important aspects of this course will be to 1) Provide students with a multifaceted comprehension of disability rights theory and its implications for modern society in the fields of education, employment, government participation, etc. 2) Encourage students to more broadly consider how disability and “mainstream” society are interlinked and cannot be compartmentalized, especially given the rapidly-evolving technological advancement of the modern world. This course and its accompanying exams will be designed not to test students’ ability to memorize provisions of various international disability rights laws, but rather to challenge students to think deeply about barriers that exist in society in relation to persons with disabilities and think about issues related to disability from different perspectives, as well as offer creative solutions to difficult problems faced by those who support disability rights within society. The teaching style of the course will: A) Be student-centered, B) Comprehensive, and C) Consider why and how, not only what the law is. Throughout the semester, students will be called upon to actively participate in in-class discussion, do numerous short writing assignments, give their own ideas, and consider international perspectives. 5 Topics of Course Content: 1) Introduction to Disability Rights Movement and UN CRPD 2) Employment and Education 3) International Disability Rights 4) Participation in society, government, and culture 5) Disability rights as human rights, new tech and the future Two main goals: 1) Help students understand the role of law and social movements in eliminating barriers and protecting full and equal rights for persons with disabilities. 2) Ensure students’ ability to research and discuss these topics successfully in English. College of Law Main Campus Proficient English, law major and some comparative law experience preferred but not required Charles Wharton 35 Tuesday 6,7 LAW5248 (A21EU5110) 2 *Registration eligibility: juniors and above.
(College of Law) Graduate Institute of Law,
(College of Law) Department of Law http://www.law.ntu.edu.tw/main.php?site_id=1

We will discuss the keys to be a successful scientist. Students are require to go through readings and write a summary before each discussion section. The aim for this course is to share good guidance of research activities with graduate students. College of Life Science Main Campus Everyone should finish the required readings before each discussion section. Actively participating during discussion is expected. David Zeleny 10 EEB7002 (B44EM0030) 1 (College of Life Science) Institute of Ecology and Evolutionary Biology http://ecology.LifeScience.ntu.edu.tw/english/index.htm

This course is concerned with the United States and its relationship with the international legal system. This includes a discussion of the domestic U.S. laws that affect and incorporate international law including the U.S. power to make international agreements, the role of U.S. courts in the interpretation of international law, and the use of military force. It also includes a review of U.S. foreign policy case studies that reveal the U.S. government’s particular approach to interpreting and applying international law. These case studies will include: the use of military force; the settlement of disputes using third-party judicial bodies; and the law of the sea. Where appropriate, the course will discuss how these United States views of international law differ from that of China or Taiwan. TA ：仲民(Nolan Wu) E-mail ：r04a41019@ntu.edu.tw To introduce different aspects of the U.S. government’s treatment and use of international law in its legal system and in its foreign policy. College of Law Main Campus Julian Gei-Lun Ku 30 Intensive courses LAW7607 (A21EM3150) 1 (College of Law) Graduate Institute of Law http://www.law.ntu.edu.tw/main.php?site_id=1

This course introduces techniques that the student can use to construct simple models for analyzing and understanding the performance of systems that they are interested in. (1) To introduce students to analytical modeling of system performance. Computer systems are complex, making it hard to understand their behavior and predict their performance. Students will learn some mathematical techniques for modeling system performance, and exercise their modeling skill. (2) To broaden the student’s interest in Computer Science. Computer Science is increasingly multi-disciplinary; for example, data streams bring together issues in hardware, networking and databases. This course will give students broad exposure to analytical modeling in different areas of Computer Science. College of Electrical Engineering & Computer Science Main Campus Pre-requisites are Probability, Networks, OS Tay Young Chiang 20 Wednesday 2,3,4 CSIE5023 (922EU0240) 3 (College of Electrical Engineering and Computer Science) Graduate Institute of Networking and Multimedia,
(College of Electrical Engineering and Computer Science) Graduate Institute of Computer Science & Information Engineering
*Registration eligibility: seniors and above. http://www.csie.ntu.edu.tw/main.php?lang=en

1. Introduction 2. Fundamentals of Semiconductor Lasers 3. Mirrors and Resonators for Diode Lasers 4. Gain and Recombination Mechanisms 5. Dynamic Properties of Semiconductor Lasers 6. Tunable Lasers and Laser-modulators 7. Microcavity Lasers College of Electrical Engineering & Computer Science Main Campus Ming-Hua Mao 30 Wednesday 7,8,9 OE5013 (941EU0220) 3 Non-degree Program: Program of Photonics Technologies,
(College of Electrical Engineering and Computer Science) Graduate Institute of Electrical Engineering,
Non-degree Program: Nano-Technology Engineering,
(College of Electrical Engineering and Computer Science) Graduate Institute of Electro-Optical Engineering,
(College of Electrical Engineering and Computer Science) Graduate Institute of Electronics Engineering http://gipo.ntu.edu.tw/eng/e_index.php

i) Reflective TFT-LCDs ii) Transflective TFT-LCDs iii) Wide-viewing-angle technologies iv) Fast response time v) Blue Phase Liquid Crystals (& Displays) vi) Bistable Nematic LCDs vii) Projection displays (e.g. LCoS) & Flexible Displays viii) Low operation voltage ix) (Optional) LCD Optics: 2×2 extended Jones Matrix, 4 x 4 Matrix, Poincare Sphere, etc College of Electrical Engineering & Computer Science Main Campus Prerequisite: “Introduction to Liquid crystals”(OE5011) Grading: Homework 20%, Mid-term Exam 40%, Final Exam 40% Wing-Kit Choi 24 Thursday 8,9,10 OE5034 (941EU0430) 3 (College of Electrical Engineering and Computer Science) Graduate Institute of Electro-Optical Engineering,
Non-degree Program: Program of Photonics Technologies,
(College of Electrical Engineering and Computer Science) Graduate Institute of Electrical Engineering http://gipo.ntu.edu.tw/eng/e_index.php

Tentative Course Outline: 1. Experiments, Models, and Probabilities 1.1. Applying Set Theory to Probability 1.2. Probability Axioms 1.3. Some Consequences of the Axioms 1.4. Conditional Probability 1.5. Independence 1.6. Sequential Experiments and Tree Diagrams 2. Random Variables 2.1. Definitions 2.2. Probability Mass Function 2.3. Families of Discrete Random Variables 2.4. Cumulative Distribution Function (CDF) 2.5. Probability Density Function 2.6. Families of Continuous Random Variables 3. Random Variables and Expected Value 3.1. Conditional Probability Mass/Density Function 3.2. Probability Models of Derived Random Variables 3.3. Average 3.4. Variance and Standard Deviation 3.5. Expected Value of a Derived Random Variable Midterm exam 4. Random Vectors 4.1. Probability Models of N Random Variables 4.2. Vector Notation 4.3. Joint Cumulative Distribution Function 4.4. Joint Probability Mass/Density Function 4.5. Marginal PMF/PDF 4.6. Functions of Two Random Variables (Jacobian Transformation) 4.7. Conditioning by a Random Variables 4.8. Bivariate Gaussian Random Variables 4.9. Correlation Matrix 5. Sums of Random Variables 5.1. Expected Values of Sums 5.2. PDF of the Sum of Two Random Variables 5.3. Moment Generating Functions 5.4. MGF of the Sum of Independent Random Variables 5.5. Random Sums of Independent Random Variables 5.6. Central Limit Theorem 5.7. Applications of the Central Limit Theorem 5.8. The Chernoff Bound 6. Parameter Estimation Using the Sample Mean 6.1. Sample Mean: Expected Value and Variance 6.2. Deviation of a Random Variable from the Expected Value 6.3. Point Estimates of Model Parameters 6.4. Confidence Intervals 7. Hypothesis Testing 7.1. Significance Testing 7.2. Binary Hypothesis Testing Final exam To introduce to students the theory, models and analysis of probability and basic statistics and their applications with emphasis on electrical and computer engineering problems. College of Electrical Engineering & Computer Science Main Campus Calculus (A) 1 & 2
Grading: Homework : 20%, Midterm : 40%, Final : 40%, Participation 5% Shi Chung Chang 50 Monday 4 Thursday 8,9 EE2007 (901E21000) 3 (College of Electrical Engineering and Computer Science) Department of Electrical Engineering http://www.ee.ntu.edu.tw/en/

Principles of nonlinear optics with emphasis on the fundamental aspects of nonlinear optical theory and techniques. To understand the principles of nonlinear optics. To be equipped with the basic ability to analyze a nonlinear optics problem. College of Electrical Engineering & Computer Science Main Campus To understand the basic principles behind different nonlinear optics phenomena. Chi-Kuang Sun 30 Thursday 7,8,9 EE5050 (921EU2310) 3 (College of Electrical Engineering and Computer Science) Graduate Institute of Electrical Engineering,
(College of Electrical Engineering and Computer Science) Graduate Institute of Electro-Optical Engineering,
(College of Electrical Engineering and Computer Science) Graduate Institute of Biomedical Electronics and Bioinfornatics,
Non-degree Program: Program of Photonics Technologies http://www.ee.ntu.edu.tw/en/

Rapidly changing global environments, health care policy and competitive forces in an increasingly boundaryless health care delivery system demand transformative and visionary leaders. This course is designed to provide current and future health care executives with the intellectual frameworks, contemporary theory and applications to respond effectively to these dynamic changes. Building on concepts from psychology, sociology and the behavioral sciences, this course will prepare students to develop the capacity to develop, lead and transform health care organizations and the institutional networks that embody the health care delivery system. Contemporary theory suggests that the development of highly effective, transformative leaders emerges from a framework that combines self assessment and reflection embedded in the constructs of emotional intelligence, with theories and methods designed to provide the participants the latest thoughts associated with leading, individuals, teams, organizations and interorganizational networks. To identify, assess and evaluate the intrapersonal dimensions associated with Emotional Intelligence (EQ) To analyze and evaluate your strategies for leading individuals, groups and organizations To discover, assess and develop a personal philosophy of leadership that will enable you to lead effectively in an increasingly diversity and highly dynamic globalized world To increase your knowledge of the scholarly literature and contemporary thought for leading, developing and empowering individuals To increase your effectiveness in the design and transformation of organizations and interorganizational networks To internalize the values and responsibilities that are necessary to ensure the delivery of high quality, patient focused health care in a community and global health care perspective To understand the changing roles of leadership and personal and professional responsibilities in a complex, globalized organizational and dynamically changing social context To gain insights into your career development College of Public Health Downtown Campus-College of Public Health Satisfactory performance in this class requires that you: Read all materials assigned for each class session prior to the class meeting days listed on the syllabus Effectively participate in the seminar discussions and class activities Participate as a member of a team briefing the class on the key points discussed in the assigned readings Develop and maintain a journal that summarizes the key insights you gained from each class session Complete and score all assigned self assessment inventories prior to the class meeting Develop a final paper on “The Best Practices for Effectively Leading Health Care Organizations Robert C. Myrtle 30 Intensive courses HPM7066 (848EM2380) 2 (College of Public Health) Institute of Health Policy and Management
*Registration eligibility: graduate students. http://ntuhpm.ntu.edu.tw/?locale=en

The module will be delivered over one semester, as a blend of small group work and lectures, practical exercises, group project, presentation and in-class discussion of reading tasks. The aim of this course is to introduce concepts of study design, data collection and statistical analysis commonly used in public health research with a strong focus in global health. College of Public Health Downtown Campus-College of Public Health 1. Active participations in the discussion and presentation of reading tasks are requirements for all students. 2. On the completion of this course, students will identify a specific research topic related to global health and use the skills and knowledge taught in the course to undertake a critical review of the literature relating to the identified research topic/problem, design a study to investigate the problem, and write an appropriate protocol for conducting a research project on the topic, including ethical aspects of their research. 3. For the mid-term presentation, each student is required to do a 15-minutes presentation on her/his identified research topic. The content of presentation should include a preliminary report of background, literature search strategy and research hypotheses. 4. For the final presentation, each student is required to do a 15-minutes presentation on her/his research proposal for the identified topic. The content of presentation should include a report of background, literature review, research hypotheses, study design and statistical methods. 5. Each student is required to submit a final written report in the format of a research project proposal, including project title and sections on research background, literature review, materials and methods, and expected outcomes. Wei-Jane Chen 12 Wednesday 6,7,8 EPM8003 (849ED0400) 3 (College of Public Health) Graduate Institute of Epidemiology and Preventive Medicine
http://epm.ntu.edu.tw/?locale=en