This course will give students a broad understanding of European politics. The course is organized thematically, covering issues such as federalism and devolution, the executive and legislature, political parties, elections and voting systems, the media, civil society, and race and ethnicity. Particular attention will be paid to the comparative study of different European countries across these issue areas. The final two weeks of the course will be devoted to class debates on some of the major contemporary issues in European politics, with topics for debate to be agreed between the instructor and students (possible topics may include immigration, the Greece crisis, Brexit, the rise of the far right, other topics may be suggested by the instructor or students). By the end of the course, students will have: (1) A broad understanding of European politics (2) An awareness and ability to discuss some of the major contemporary issues facing Europe; (3) An understanding of the use of the comparative method for the study of European politics; (4) The ability to read academic texts in English; (5) Oral and written communication skills in the English language. College of Social Sciences Main Campus The final grade will be determined as follows: 10% attendance and class participation 20% class tests (up to 3 per semester, date to be notified one week in advance) 30% class debate (including presentation and participation in the debate) 40% final exam Students are expected to arrive for class on time and actively participate in class discussion. The use of mobile phones in class is not permitted. Mark Weatherall 50 Tuesday 6,7 PS4628 (302E52800) 2 (College of Social Sciences) Department of Political Science http://politics.ntu.edu.tw/english/

This class introduces the principles behind macroeconomics. . It follows the first semester class, which introduced the principles of microeconomics. Concepts such as GDP, price indices, inflation, unemployment, monetary & fiscal policy, exchange rates, etc. will be examined. The class is taught in English. The presentation will be largely based on Acemoglu, Laibson and List’s Economics with an extra emphasis on Taiwan’s economy. Grades will be based on a midterm (35%), a final (40%), homework and quizzes (15%) and class participation (10%). We will make use of Zuvio, so you should bring something to class with which you can get on-line. A basic understanding of economics & Taiwan’s economy College of Social Sciences Main Campus No prerequisites Kelly Barton Olds 180 Monday 5 Wednesday 5 Friday 2,3,4 ECON1005 (303E13112) 4 (College of Management) Department of Accounting,
(College of Management) Department of International Business,
(College of Social Sciences) Department of Economics,
(College of Management) Department of Finance http://www.econ.ntu.edu.tw/db/new2011/index.asp?l=english

This class is taught in English and can be taken separately or as a continuation of the first semester’s economic history course. This semester will cover the economic history of the 20th century emphasizing the Asian economies. During the first part of the semester an economy-by-economy overview of economic developments over the last hundred years will be presented. Then in the second part of the course, we will look at particular topics in economic history. Each three-hour session will consist of one-a two-hour lecture and one hour of group work. Group work will involve writing a short paper concerning an assigned reading. Most weeks, groups will be randomly assigned. By the end of the course, students should have a reasonable understanding of what has been going on in the Asian economies over the last hundred years. College of Social Sciences Main Campus There are no prerequisites. Expect a lot of graphs and statistics, but there will be no mathematical modeling. In past courses, students from a wide variety of departments have taken this course. Kelly Barton Olds 87 Monday 7,8,9 ECON3008 (303E20020) 3 (College of Social Sciences) Department of Economics http://www.econ.ntu.edu.tw/db/new2011/index.asp?l=english

I open several related courses. Please visit our lab website for more detailed info on how to choose my lectures based on your preference. http://homepage.ntu.edu.tw/~tksmiki/for_Students_%28zhong_wen%29.html This is a course intended for students with basic knowledge of life science and/or ecology. Most examples are based on ecological processes, but students in any fields of life science are also welcome. The skills to build and analyze a dynamical model will be obtained in the first stage. The computer software to easily analyze mathematical models without programming will be provided. In the second stage, students will select a subject based on his/her own interest and will learn how to develop a model based on the subject and how to analyze the model. Major topics include: 1. What is the role of theory in biology? 2. Non-spatial population dynamics model 3. Stage-structured population 4. Spatial heterogeneity 5. Interspecific interaction (competition, prey-predator, and herbivory) 6. Ecosystem 7. How to develop a new model? The objectives are to provide students know-how and tacit knowledge to develop a new dynamical model based on research interest. Opportunities to learn basic modeling blocks and how to analyze dynamical models are also provided. College of Science Main Campus Every student needs to bring his/her own notebook PC/Mac (or Linux). Students are expected to develop their own models in the final stage based on his/her own interest. Backgrounds in some filed of life science/biology are required. Takeshi Miki 10 Wednesday 2,3,4 Ocean5090 (241EU4090) 3 (College of Science) Graduate Institute of Oceanography, Marine Biology & Fisheries Division,
http://www.oc.ntu.edu.tw/?lang=en

This course is designed to teach the usage of R for the analysis of ecological data. It will introduce students to several different analysis options for biological or ecological data (focusing specifically on community-level data) using the free & open-source statistical, mapping, and graphing platform R. Broad topics covered will include: introduction to R language and basic functions / graphics; basic mapping options; diversity measurement; univariate, multivariate, parametric and non-parametric analysis and their basis; functional diversity; and ecological time series analysis. Students will require a laptop for sessions. Schedule is subject to changes according to student progress. College of Science Main Campus Basic knowledge in ecology, biology and informatics Vianney Denis 10 Tuesday 6,7,8 Ocean5098 (241EU5050) 3 (College of Science) Graduate Institute of Oceanography, Marine Biology & Fisheries Division http://www.oc.ntu.edu.tw/?lang=en

This course is designed to guide students to learn about the organic matters in coral reef environment with a focus on the relatively overlooked dissolved organic matter. Coral reef ecosystem is highly productive and hosts a diverse community. To evaluate the sustainability of a reef ecosystem, we need to elucidate details on the organic nutrient cycling and thus such a research topic is emerging. During this course, we will go through recent discoveries on the biogeochemistry of the organic matter in reef waters around the world. We will also provide case studies to help students acquire analytical methods for characterizing organic matter. If funding is available, we will collect reef waters for hands-on practices. We will also conduct subsequent data analysis and interpretation to the environmental issues. Each week, the course will start by me giving a brief introduction to the assigned topic. We will then spend 40 mins discussing recent published research papers relevant to the topic and another 30-40 mins to compile the data from the published research papers. We will then make our own data analysis and interpretations. Students will be required to write a minimum of five-page final report on reviewing or research report of related topics about coral reef organic geochemistry. (1) Students will know about our current understanding of reef water organic geochemistry. (2) Students will read many recently publications on reef water organic geochemistry. (3) Students will present the compiled data and provide interpretations for the data. (4) Students will identify challenges in research on organic geochemistry and seek for potential ways to overcome these challenges; compare with recently proposed research on tacking these challenges. (5) At the end of the course, students will be able to think critically and present their thoughts clearly. (6) Students will walk away from this course welcoming any questions about organic geochemistry in reef waters. (7) Ultimate goal: students will become conscious about the cycling of organic matter in coral reef waters and have knowledge on methods for characterizing organic geochemistry. College of Science Main Campus This course will be offered in English and thus, students must be able to understand English well enough to enroll. Students are required to read and present in English. This is a reading intensive course. Students are required to attend ALL classes. No more than two unexcused absences are permitted. Huei-Ting Lin 10 Monday 2,3,4 Ocean5104 (241EU6010) 3 (College of Science) Graduate Institute of Oceanography, Chemical Oceanography Division http://www.oc.ntu.edu.tw/?lang=en

This course is a complete review of advanced quantitative methods in fisheries stock assessment.

Course covers introduction, decision analysis to evaluate alternative management actions, Bayesian state-space

modelling, Meta-analysis, Integrated analysis, and Spatial modelling in stock assessment Assessment models of

biomassdynamics model, age-structured production model, and integrated stock assessment model (e.g., Stock

Synthesis, SS) will be included. Student will be familiar with methods in fish population dynamics

and stock assessment (e.g.., Bayesian posterior distribution, Markov Chain Monte Carlo, state-space modelling, etc.)

and proficient in parameter estimation (e.g., unfished biomass, spawning biomass, MSY), as well as the uncertainty,

of an exploited fish population, and evaluation of harvest restrictions for fisheries management problems by using

various computer programs and tools (e.g., AD Model Builder [ADMB], WinBUGS/JAGS, SS).

The course draws examples from real fisheries in the world and provides student broad experiences of

various fishery data and fish biology. The course is primarily for students of fisheries and marine ecology,

but should also appeal to those interested in conservation ecology and advanced ecological modelling.
The main objective of the course was to become proficient with background and tools to conduct advanced stock assessment modelling for fisheries. Student will develop professional skills of data analysis, quantitative fish population modelling, and theory and implication of fish harvest management. Student will carry out fisheries data analysis, modelling, and interpretation on a regular basis throughout the course. The course expects student will develop their own model and application. Course will provide basic programming training by following the examples using Excel, R, ADMB, WinBUGS/JAGS. College of Science Main Campus Ocean 7176 Ecological Modeling for Conservation of Fisheries Resources is recommended (not required) prior to this course Yi-Jay Chang 8 Wednesday 6,7,8 Ocean7178 (241EM3860) 3 http://www.oc.ntu.edu.tw/?lang=en

This is an advanced course intended for senior undergraduate and graduate students with knowledge of basic statistics including random variables, analysis of variance, regression analysis, and rank-based non-parametric statistics. We will discuss several computer-intensive statistical methods. We will discuss the theory, assumption, and application of these methods in ecological problems. The course is designed for hand-on work. Students need to get familiar with at least one computer language to do the statistics. Most of work can be done with R or MatLab, but any other programming language will do equally well. Sometimes, we will use well-developed software when the computation is too complicated and beyond the basic level. There will be dedicated time every week for students to present their works and to discuss the application of these methods on real world problems. College of Science Main Campus Solve homework problems every week. There will be dedicated time every week for students to present their works and to discuss the application of these methods on real world problems. Chih-Hao Hsieh 25 Thursday 2,3,4 Ocean5052 (241EU1920) 3 http://www.oc.ntu.edu.tw/?lang=en

I open several related courses. Please visit our lab website for more detailed info on how to choose my lectures based on your preference. http://homepage.ntu.edu.tw/~tksmiki/for_Students_%28zhong_wen%29.html The objective is to provide students with computer skills for dynamical modeling of populations and communities, which are governed by difference equation, ordinary differential equation, or partial differential equation. This is an introductory course intended for undergraduate and graduate students with knowledge of basic ecology. We will learn basic skills of computer programming (C language) with Linux. If necessary, we will also learn mathematical theories of numerical calculations. Every student needs to bring his/her own notebook PC/Mac with enough memory size (2GB in total is recommended) and empty part of hard disk. Ubuntu does not work in a sufficient speed in some of Netbook (e.g. old Eee PC). All applications that are necessary for this course will be provided. Each lecture will include: 1. Setting up your computer 2. Basic commands in Linux 3-9. Basic grammar and algorithms in C-language 10. How to use gnuplot (an application for graphics) 11. Numerical calculations for difference equations 12-13. Mathematical theories of numerical calculations of ordinary differential equations 14. Numerical calculations for population dynamics of a single species 15. Numerical calculations for population dynamics of multiple species 16. Numerical calculations for reaction-diffusion models To learn computer skills for dynamical modeling of populations and communities, which are governed by difference equation, ordinary differential equation, or partial differential equation. College of Science Main Campus Every student needs to bring his/her own notebook PC/Mac/Linux. Win PC/Mac OSX users will set up linux system in your computer in the first week. The recommended way is to use VM VirtualBox for win PC or Mac OSX and install linux OS via VM VirtualBox. If you would liked to use Mac OSX, then you need to install (1) gcc (C compiler), (2) gnuplot (for graphics), and (3) emacs (editor) by yourself. In the first week, we will learn how to set up computer for this course. Takeshi Miki 10 Thursday 3,4 Ocean5068 (241EU2080) 2 (College of Science) Graduate Institute of Oceanography, Marine Biology & Fisheries Division http://www.oc.ntu.edu.tw/?lang=en

I open several related courses. Please visit our lab website for more detailed info on how to choose my lectures based on your preference. http://homepage.ntu.edu.tw/~tksmiki/for_Students_%28zhong_wen%29.html This is a basic course intended for senior undergraduate and graduate students with knowledge of basic biology. Students who are interested in any fields in biology are all welcome, because all of the biological phenomena are the product of the evolution. The basic skills in undergraduate-levels of calculus are required and also basic knowledge on population dynamics (e.g., exponential growth, logistic growth, and Lotka-Volterra model) is preferred. We will learn basic but important mathematical methods for analyzing evolutionary dynamics in biological systems. Statistics and computer programming are beyond our focus. The course is designed for hand-on work. We just need “paper-and-pencil” for learning how to think quantitatively about evolutionary dynamics. If necessary, we will also use well-developed software but we do not need skills in computer programming. There will be dedicated time in some weeks for students to do “paper-and-pencil” exercise. I will usually use blackboard instead of PowerPoint presentation. Please prepare your own notebook. Major topics include: 1. Basics in evolution 2. Neutral evolution and natural selection 3. Classical and modern population genetics 4. Optimization for phenotypic evolution 5. Basics in evolutionary game theory 6. Replicator dynamics 7. Coupling of population dynamics and evolution (adaptive dynamics) The objective is to provide students with mathematical and theoretical skills for evolutionary dynamics (evolutionary ecology & population genetics), which are necessary for mechanistic and quantitative understanding of complexity in biological systems. College of Science Main Campus We will not use textbook and handouts will be provided. I will usually use blackboard instead of powerpoint presentation. Please prepare your own notebook (not PC). The basic skills in undergraduate-levels (not the high school level!!) of calculus are required and also basic knowledge on population dynamics (e.g., exponential growth, logistic growth, and Lotka-Volterra model) is preferred. Takeshi Miki 25 Thursday 6,7,8 Ocean5083 (241EU4020) 3 Non-degree Program: Introductory Course of Marine Science,
(College of Science) Graduate Institute of Oceanography, Marine Biology & Fisheries Division http://www.oc.ntu.edu.tw/?lang=en

The vast deep sea is the largest living space on earth and yet less than 5% of the seafloor has been explored in some details. In fact, we have better maps for the Moon, Mars, or even Venus due to our planet’s watery veil. The variety of habitats and the complex relationship with its inhabitants gives rise to diverse communities, providing important ecosystem functions and services, and maintaining the elemental cycling in the ocean. However, climate changes and human activities on the seafloor have created unprecedented challenges and threats to the deep-sea ecosystems. These seemingly pristine environments have undergone major changes that out-pace our understanding of factors that drive the spatial and temporal patterns of the deep-sea ecosystems. This course will cover major topics in deep-sea ecology including the physical environments and history, sampling techniques, adaptations of deep-sea organisms, community composition and functions, major habitats, and anthropogenic effects. By the end of this course, students are expected to be able to: 1) Describe the co-varying effects of physical environments on the adaptation of deep-sea organisms 2) Describe the effects of depth and the co-varying factors on abundance, composition, diversity and functions of deep-sea communities 3) Compare and contrast various deep-sea habitats, the key processes and associated communities 4) Evaluate the potential impacts of human activities on deep-sea ecosystem 5) Read and understand a scientific literature in deep-sea ecology, evaluate its findings and discuss its implications 6) Synthesize and review a selected topic in deep-sea ecology, orally present and lead discussion in its background, controversies and future directions College of Science Main Campus Grading: Participation 30% Discussion 20% Presentation 40% Quizzes 10% Paper discussions: Sessions will be divided evenly among students (60 minutes following the main lecture). Each student will select a paper (related to deep-sea ecology) to lead the discussion. Discussion leader will provide an outline for the discussion of each paper on PowerPoint slides (30 minutes), presenting: the rational for study, hypotheses or goals, major findings, and conclusions. Discussion leader should prepare with one or two questions to stimulate discussion, addressing strengths, weaknesses, significance, and future directions for the study. Discussion leader will receive an evaluation of the presentation by their peers. Grading (discussion) is depending upon the active participation in discussion led by student. Chih-Lin, Wei 15 Monday 6,7 Ocean5089 (241EU4080) 2 http://www.oc.ntu.edu.tw/?lang=en

This courses aims to provide students with general knowledge in the synthesis of biomolecules, which is applied either to prepare small molecules to probe target DNA/proteins, or to develop efficient methods to study biological questions. Therefore seven weeks are used to cover the synthesis, while the remaining is to talk about famous examples. Students who want to take the course need to pass the undergraduate course of organic chemistry (two semester courses with at least 2 hours per week). It is also recommended to have basic concept in biochemistry, at least to be aware of what are the structures of amino acids, nucleic acids and sugars. College of Science Main Campus 50 Friday 2,3,4 Chem7036 (223EM1620) 3 *Registration eligibility: graduate students. http://www.ch.ntu.edu.tw/english/en_index.htm