Spatial thinking has become increasingly significant in the field of cultural geography because it allows us to pay attention to trans-regional cultural flows and their effects on a range of different scales, as well as how similar cultural phenomena bear different cultural implications in diverse local contexts. More importantly, various forms of cultural logic underlying the power mechanism of space have bearing on the subject formations of different identities; for example, we might consider the power effects of familial space on queer subjects, or the implications of urban gentrification on homeless people. To understand how the power mechanism works, it is important to attend to the complexity of the ways in which politics, economics, culture and society are interwoven in the production of space. Based on the conceptual framework, this course covers four main themes: a theoretical introduction, landscape and representation, identity politics and trans-border cultural flows/geopolitics. The first two sections will give students an understanding of the epistemology and methodology of space, with an emphasis on ways of mapping meanings in landscapes and rethinking the nature/culture divide, in order to reveal the importance of space and geography. The section covering identity politics will then introduce important issues concerning the questions of identity organized around gender/sexuality, race, and class to emphasize how identity politics are always situated in different local social contexts. The last section of this course focuses on trans-border cultural flows and geopolitics to help students comprehend the links between geography, state territoriality, world power politics and popular culture. Some readings in the class are quite complex; however, for those who are interested in learning spatial thinking and cultural politics, these readings will help them cultivate cultural sensitivity in analyzing the issues of identity and space in everyday life. College of Science 1. Class Participation (10%): Students are expected to read the designated readings before class and participate in class discussions. 2. Group Presentations (20%): Each team has a minimum of 15 minutes for each presentation. 3. Final Report (70%): A reflection on the theoretical concepts that we have discussed in class or a case study taken from everyday life (the report can be written in English or Chinese) should be submitted by the end of the semester. HUANG TSUNG YI Thursday 789 Geog5051 3 The upper limit of the number of non-majors: 25.

ECON 7014 is the first course in the sequence of econometrics. The course is composed of two parts: statistics and econometrics. In the first part, statistics, we introduce the necessary tools and techniques that are essential in econometric analysis. In the second part, econometrics, we study the estimation and inference of a series of well-known econometric models and estimators. In this process, we will make extensive use of the statistical tools and techniques developed in the first part of the course. The goal of the course is to prepare students for research in various fields of study, including macroeconomics, applied microeconomics, and econometric theory. Students will learn to analyze data, construct models, and select estimation strategies to test theories and answer economic questions. College of Social Sciences Linear algebra, probability, calculus CHUNG-YING LEE Tuesday 234 Wednesday 67 ECON7026 4 The upper limit of the number of non-majors: 10.

This course provides the introduction to Industrial Organization, including the study of the market structure and the theory of the firm. The focus will be on some basic theoretical models and related empirical studies in IO. 先修科目 Prerequisites 1. Microeconomics I and II (ECON 2001, 2002) 2. Statistics and Econometrics I and II (ECON 2014, 2015) College of Social Sciences Week 1: Introduction and Cost Theory. Week 2: Perfect Competition and Monopoly. Week 3-4: Oligopolistic Competition. Week 5: Cartels and Collusion Week 6-7: Product Differentiation Week 8: Entry, Accommodation, and Exit Week 9: Midterm Week 10: Entry Deterrence Week 11-12: Price Discrimination Week 13: Vertical Integration Week 14: Regulation of A Monopoly Week 15: Advertising Week 16: Search and Price Dispersion Week 17: Auctions Week 18: Presentations (or Final Exam) [to be announced in the syllabus] problem Sets (30%) Midterm (30%) Final Exam (or Term Papers) (40%) [to be announced in the syllabus] JIANDA ZHU Friday 234 ECON5127 3

FGDFGFS College of Engineering CHIA-PEI CHOU Thursday 234 CIE7051 3

MOLECULAR BIOLOGY College of Medicine FANG-JEN LEE Wednesday 34 Friday 34 MolMed7003 4 The upper limit of the number of non-majors: 5.

This course focuses on the basic molecular mechanisms employed by various viruses for virus growth and host cell invasion. Different cellular signaling and host defense pathways are also included. Organizer:Dr. Wen Chang College of Medicine SHU-CHUN TENG Saturday 34 PTMP8014 2

1．緒論 2．廢棄物的特性指標及分析方法 3．廢棄物的特性 4．廢棄物處理方法 5．池塘 6．好氣處理 7．厭_處理 8．堆肥化處理 9．養殖廢水與廢棄物處理 10．_染源控制 11．實驗 本課程主要針對生物_業廢棄物的種類及其對生態環境之影響,廢棄物的特性及分析方法,現行之處理方法,_染源之控制及管理,以及廢棄物之回收及利用等作整體性的介紹，希望學生在修習本課程之後對農業廢棄物的現況能有通盤的了解。 College of Bio-Resources & Agriculture CHU-YANG CHOU Tuesday 789 BME5703 3

MOLECULAR BIOLOGY College of Medicine FANG-JEN LEE Wednesday 34 Friday 34 MolMed7003 4 The upper limit of the number of non-majors: 5.

This course includes presenters of Taiwan, Japan, Thailand, and Brunei, to provide understanding of international perspectives of environmental and occupational health. For the students to understand international perspectives of environmental and occupational health, and to interact with international teachers and students DISTANCE LEARNING NATIONAL TAIWAN UNIVERSITY Interaction with international teachers and students final report and presentation Tuesday 67 OMIH5056 2

Information Theory is a senior (undergraduate) level course designed for students who are interested in the quantitative fundamental limits of information. What is information and how to quantify information? What is the ultimate data compression rate and what is the ultimate transmission rate of communication? In this course, we introduce the fascinating theory originated from Claude E. Shannon, which addresses the above fundamental questions in communication theory. We will develop methods and coding techniques to achieve these fundamental limits. Finally, we will also demonstrate the application of information theory to other fields, including statistics (hypothesis testing and estimation) and statistical inferences. 1. Introduce basic topics in information theory, including measures of information, source coding theorem, channel coding theorem, and source-channel separation. 2. Develop methods and coding techniques to achieve these fundamental limits. 3. Show applications of information theory beyond communications, especially in high dimensional statistics and statistical inferences. College of Electrical Engineering & Computer Science Prerequisite: Probability, Linear Algebra, Optional: Random Processes, Communication Systems Homework (30%), Midterm (30%), Final (40%) I-HSIANG WANG Wednesday 234 EE5028 3

1. Introduction of Queueing Model and Review of Markov Chain 2. Simple Markovian Birth and Death Queueing Models (M/M/1, etc) 3. Advanced Markovian Queueing Models 4. Jackson Queueing Networks 5. Models with General Arrival or Service Pattern (M/G/1, G/M/1) 6. Discrete-Time Queues and Applications in Networking To provide the basic knowledge in queueing models and the analysis capability of the queueing models in telecommunications, computers, and industrial engineering College of Electrical Engineering & Computer Science Midterm 45% Final Exam 45% Homework (including programming and simulations) 10% ZSEHONG TSAI Wednesday 789 EE5039 3

In this class, I will cover the basic techniques for design and analysis of algorithms. I will also give a brief introduction to advanced topics such as approximate algorithms and randomized algorithms. 1 Introduce different algorithm design techniques. 2 Teach the students how to evaluate the performance of different algorithms. College of Electrical Engineering & Computer Science Grading: Homework: 40% Midterm: 30% Final exam: 30% HO-LIN CHEN Tuesday 234 EE5048 3