This is an introductory course to computational methods for fluid dynamics. Following a preface to numerical simulation and a review of the governing equations for mass, momentum, and energy, the structure and mathematical behaviors of partial differential equations will be discussed, which are classified as hyperbolic, parabolic, and elliptic types. A discretization scheme to approximate the mathematical models, the finite-difference method, is described along with the analyses for the resulting errors and stability, followed by strategies of allocation and transformation of grids. Some simple CFD techniques will then be illustrated, in terms of various schemes suited for different categories of PDE’s. Various methods of discretization other than the finite-difference approach, such as finite-volume method and finite-element method, shall be briefly mentioned if time is available. Part I: Fundamentals of mathematical and physical models 1.Philosophy of computational fluid dynamics(83dc) 2.The governing equations for fluid dynamics(83dc) 3.Mathematical behavior of partial differential equations Part II: Numerical approaches 4.Basic aspects of discretization 5.Grids with appropriate transformations 6.Numerical methods for hyperbolic PDE: wave equation 7.Numerical methods for parabolic PDE: heat equation(83dc) 8.Numerical methods for elliptic PDE: Laplace’s equations College of Engineering Main Campus Kuo-Long Pan 40 Tuesday 3,4,5 ME5141 (522EU2960) 3 (College of Engineering) Graduate Institute of Mechanical Engineering,
(College of Engineering) Department of Mechanical Engineering http://www.me.ntu.edu.tw/main.php?site_id=1

NOTE: This course is an ADVANCED LEVEL heat transfer, and also serves as one of the required subjects of the qualifying exam for Ph.D. students in the Mechanical Engineering Department. Heavy course load is to be expected.
NOTE: The lectures of this class will be given in English. However, you can ask or raise questions in Mandarin. My answers or replies will be in English during class, and in Mandarin/English after class based on your preferences.
NOTE: Class meets on Thursdays 14:20–17:20, ten to fifteen minute break from 15:50 to 16:00 or 16:05 for each meeting.
COURSE DESCRIPTION: This is a 3-unit half-year elective course on intermediate to advanced level conduction, convection, and radiation heat transfer directed towards graduate students and undergraduate upperclassman audiences. This course also serves as one of the required subjects of the qualifying exam for Ph.D. students in the Mechanical Engineering Department. Heavy course load is to be expected. Three major topics are to be discussed in this class. They are: 1. Steady and unsteady 1D and multidimensional conduction heat transfer. 2. Laminar/turbulent forced and natural convection heat transfer of internal and external flows with additional focuses on boiling and condensation phenomena. 3. Radiation heat transfer for black, gray diffuse, and gaseous bodies. Our discussions for each of the topics are to be directed towards two directions: 1. Classical mathematical and analytical techniques. 2. Modeling and approximation methods. Active class participation and discussions are greatly encouraged. 1. To understand the underlying physics and mechanisms governing the conduction, convection, and radiative heat energy transfer processes in general engineering systems from a macroscopic continuum point of view. 2. To acquire the classical mathematical tools and techniques required in analyzing conduction, convection, and radiation heat transfer problems. 3. To develop physical intuition and insights towards heat transfer problem solving so that general complex engineering heat transfer problems can be described by simple physical models and solved with minimum mathematical efforts, i.e., “back of the envelope calculations.” College of Engineering Main Campus Engineering Mathematics, Elementary Thermodynamics, Elementary Heat & Mass Transfer Huang, Hsin-Fu 40 Thursday 7,8,9 ME5150 (522EU3740) 3 (College of Engineering) Graduate Institute of Mechanical Engineering,
(College of Engineering) Department of Mechanical Engineering http://www.me.ntu.edu.tw/main.php?site_id=1

In this class we introduce the concept of equilibrium and a systematic approach to calculate various types of phase equilibria using thermodynamic models. We will also learn how macroscopic thermodynamic properties can be determined from microscopic molecular interactions in statistical thermodynamics. 1. Deep understanding of macroscopic energy balance and entropy balance. 2. Learning state of the art of phase equilibrium and their applications to chemical industry. 3. Understanding the basic concepts in statistical thermodynamics. College of Engineering Main Campus Prerequisites：none Chu-Chen Chueh 45 Tuesday 3,4 Thursday 3 ChemE7003 (524EM1110) 3 (College of Engineering) Graduate Institute of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

The objective of this course is to provide an overview of heat and mass transfer theory and application. This course also intends to provide the background for advanced research related to heat and mass transfer or transport phenomena in chemical engineering. College of Engineering Main Campus Da Ming Wang 45 Monday 2 Wednesday 3,4 ChemE7006 (524EM1200) 3 (College of Engineering) Graduate Institute of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

This course will present an introduction to process dynamics and control. Students will learn how to construct dynamic models of process systems, how to analyze process dynamics using Laplace transforms and transfer functions, the characteristic responses of dynamic processes, and the design and implementation of feedback control. Students will also learn to use computer software to model process dynamics and control. By the end of the semester, students should be able to:

1. Construct dynamic models of chemical processes

2. Solve differential equations using Laplace transforms.

3. Build and analyze transfer function and state-space models

4. Understand the dynamic response of representative processes

5. Develop empirical dynamic process models

6. Implement and tune PID controllers

7. Use frequency response methods to analyze processes and design controllers.

8. Understand and implement Feed-forward, ratio, cascade and multi-variable control.
College of Engineering Main Campus Jeffrey Daniel Ward 30 Tuesday 6,7 Wednesday 7 ChemE7011 (524EM1340) 3 (College of Engineering) Graduate Institute of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

To gain deeper insight into photogrammetric methodologies, learn state-of-the-art photogrammetric developements, and conduct photogrammetry-related project.  1.Deep understanding of photogrammetric methodologies. 2.conducting project and gaining practical photogrammetric training. 3.Treatment in advancing reading and writing skill College of Engineering Main Campus Perferrably with the knowledge of Photogrammetry.
Grading policy: 1. Article reading & writing: 30% 2. Work on Project (40%), final written report excluded. Oral Presentations: 20% Paper Reports: 20% 3. Project final written report: 30% Jen-Jer Jaw 20 Thursday 2,3,4 CIE7092 (521EM6420) 3 (College of Engineering) Graduate Institute of Civil Engineering,Geotechnical Engineering Division
*Majors-only (including minor and double major students). http://www.ce.ntu.edu.tw/ce_eng/

*This course welcomes undergraduate and graduate students in social work and other professional fields. The topics about China and Taiwan will be proceeded in Mandarin for best understanding. Others will be in English. As identity movements spread and globalization impacts people’s everyday life, the concept of cultural diversity “takes account of its dynamic nature and the challenges of identity associated with the permanence of cultural change” (United Nations Educational Scientific and Cultural Organization, 2009). Social workers nowadays are obliged to understand and properly respond to the subtle differences across groups of gender, sexuality, age, ethnicity or/and race, area, and social class and the influence on the people. Based on the core value of social justice, issues related to human rights and oppression are also of concern. This course aims to prepare cultural competence of students in terms of cultural awareness, knowledge acquisition, and skill development. The sessions start with relevant theoretical frameworks, looks into pressing issues of oppressed populations, and ends by reviewing the development of practice, research and social service system. To enrich students’ cross-culture exposure and sharpen sensitivity toward distinct cultures, international guest speakers are invited to introduce on a series of selective issues in the context of their society. Applying certain elements of “flip classroom”, the guest speeches will be performed in ways such as recommendation of reading list, pre-recorded lecture, asynchronous discussion on-line through CEIBA system, and/or live discussion through internet connection in the classroom. For each topic of the guest speech, students work (in group or individually, depending on class size) to present a similar or related issue in Taiwan or other societies so that dialogue between societies and among the course participants would occur and deepen the learning experience. [Weekly topics] Part 1. Introduction Week 1: Course introduction Week 2: Defining cultural diversity Week 3: Cultural competence in social work: Global context Week 4: Cultural competence in social work: United States VS. Taiwan Part 2. Theoretical pieces Week 5: Social justice and human rights Week 6: Anti-oppression perspective Week 7: Postmodern paradigm Part 3. Selective issues around the world Week 8-14 (exact schedule and guests yet confirmed) Topics (Guest speakers):
． Disparity and disproportionality of ethnicities in American children welfare (Mary McCarthy, Ph.D., LMSW, Director of Social Work Education Consortium, USA)
． Preparing for cultural diversity at organization level (National Child Welfare Workforce Institute)
． Aging in place: Cultural meaning and practicing (Paul Urbanski, Ph.D., Assistant Professor at Monmouth University, USA)
． Environmental justice in action (MSW students at Monmouth University, USA)
． Inner immigration from rural to urban areas in China中國城移民之農民工議題 (Lei Wu, Ph.D., Lecturer at Renmin University of China/蕾博士 中國人民大學講師)
． New marriage immigrant and the family in Taiwan台灣新移民及其家庭議題 (Pei-Chun Chen, MSW Student of National Taiwan University/陳君 台大社工系研究生)
． Cultural care in aboriginal tribes in Taiwan台灣原住民部落的文化照顧 (Chao-Chi Huang, MSW Student of National Taiwan University/愷 台大社工系研究生)
． Factors and preparation for cultural shock in overseas volunteers國際志工文化衝之因素及因應 (Huei-Chuen Yang, MSW Student of National Taiwan University/楊惠淳 台大社工系研究生) Part 4. Development in practice and research Week 15 Cultural competent practice: Skills and techniques Week 16 Cultural competent research: Measurement and methodology Week 17 Course wrap-up After accomplishing this course, the students shall be equipped to (1) recognize own and others’ cultural experiences and the underlying assumptions (2) respect the dignity and worth of a person with a cultural diversity perspective (3) analytically and critically tackle cultural issues at individual, agency, or/and policy levels (4) perform culturally competent practice and/or research College of Social Sciences Main Campus 1. All readings, assignments, and communication of this course are in English. 2. To facilitate at-home reading and in-class discussion, a set of questions will be posted on the discussion board of CEIBA. The students can select five weeks to respond the questions by posting relevant discussion, reflection, resources or questions by noon of the day before the class time (Wednesday 11:59 AM). Or, you may raise your own questions or bring up reflections about topic of the week and the reading materials. Late post counts about the points would be taken down for fairness. 3. For individual presentation, students (in group or individually, depending on the class size) may select one of the selective topics around the world to explicate further, such as relevant discussions in another society or other profession. It shall be taken as a mid-term paper adopting decent references without writing out the contents. Please schedule a meet-up with the teacher regarding the presentation to ensure the insightful dialogue would occur as late as two week ahead. 4. Students are expected to read the papers assigned and participate in classroom discussion. Individual student is responsible for the learning of self, group members, other students, and (guest) lecturers. **Undergraduate and doctoral students are encouraged to take this course as a selective. In such case, requirements and evaluation standards would be individualized for fairness. Yi Yi Chen 15 Friday 2,3,4 SW7042 (330EM4000) 3 *Majors-only (including minor and double major students).
*Registration eligibility: graduate students.

(College of Social Sciences) Graduate Institute of Social Work http://ntusw.ntu.edu.tw/english/

This course provides an overview of the essential communicative skills needed to write a journal research article and present the paper at a conference or seminar. Taking a linguistic approach to written and oral texts, we will examine the elements needed to effectively communicate scientific information in professional situations. Students will explore the different styles of written and oral language through individual and interactive tasks as well as analysis of oral and written texts. There will be plenty of opportunities for written and oral language practice as well. College of Medicine Downtown Campus-NTU Hospital Course lectures and materials are in English. Group feedback and discussions OK in any language. Marc Anthony 20 Wednesday 3,4 ClinMD8355 (421ED9440) 2 *Majors-only (including minor and double major students).

(College of Medicine) Graduate Institute of Clinical Medicine
http://clinicalmedicine.mc.ntu.edu.tw/en/Pages/default.aspx

Course Description: The course is to study the fundamentals of engineering mechanics on rigid body. The topics on statics include the concept of free-body diagram, force system resultants, equilibrium of rigid body, friction, center of gravity, and moment of inertia, etc. The topics of dynamics cover kinematics of particle force and acceleration, planar kinematics of rigid body force and acceleration, and work and energy of planar kinematics of rigid body. Course Objectives: This course is to convey the fundamental concepts on engineering statics and dynamics of a rigid body. It also serves as a basis for advanced courses in mechanics. College of Engineering Main Campus Course Requirements: Homework assignments will be given on weekly basis. There are four in-class quizzes, one midterm exam, and final exam. The students are expected to attend the lectures on time and study the course materials regularly. Yuning Liuis Ge 40 Tuesday 6,7 Wednesday 6 CIE2004 (501E21100) 3 *Majors-only (including minor and double major students).

(College of Engineering) Department of Civil Engineering http://www.ce.ntu.edu.tw/ce_eng/

This course provides a fundamental knowledge of dynamics, including kinematics and kinetics of particle, system of particles, and rigid bodies in planar and three-dimensional motion. A systematic approach, namely vector analysis and modeling procedure (VAMP), is introduced to precisely describe linear and angular positions, velocities, accelerations, forces, and torques for generating a set of equations of motion, without missing any terms. Other modeling of energy equations, momentum equations, impact of particles and rigid bodies, and Euler equations* are also addressed. Not only are students trained to have the ability of modeling dynamic systems in terms of equations of motion, but they are also experienced with engineering insight of physical laws. (*optional) The primary goal of this fundamental course is to help students become knowledgeable engineers to describe dynamical systems in a systematic approach. On this foundation, students will be prepared to take intermediate dynamics, system dynamics, advanced dynamics, vibration, and structure dynamics. College of Engineering Main Campus Prerequisite: Calculus (differentiation and some integration).
Homework Assignments: examples plus problems with ending numbers 2 and 6, or specially assigned. It is not required to turn in homework, but the selected problems from homework are tested in quiz. Quiz 36% (each of 9%), Midterm 30%, Final 30%, Attendance 4%. Missed Exam: NO make-up exams will be given without the permission of the instructor. Only unusual and extenuating circumstances warrant a make-up exam. Warning: No grace points after final for any reason. Study Group: (2-3 members) Do your homework by yourself first, and discuss your solution with your team members once a week at least. Yee Pien Yang 65 Tuesday 7,8,9 ME1006 (502E21140) 3 *Majors-only (including minor and double major students). http://www.me.ntu.edu.tw/main.php?site_id=1

Social networks provide opportunities for individuals in spreading information, such as the experience sharing of a new product. They facilitate the borrowing and lending, such as the emergence of microfinance. They also influence the collective actions, as we may influence our friends’ political inclinations as well as their voting behaviors. While the social network portrays the delineation of the relationship between individuals, this course provides an overview on current economic research that intends to understand the interaction between social networks and economic behaviors. This course is theory-based and self-contained. The students are strongly encouraged to acknowledge game theory. This course aims at undergraduate and graduate students and to provide an overview on game-theoretic social networks in the disciplines of economics. We will learn the basic tools in analyzing the interaction between social networks and economic behavior. The topics will cover social learning, local public good, collective actions, and network formation. College of Social Sciences Main Campus Grading: 1. Student presentation (30%) 2. Attendance (a 4-day absence allowance is given) (10%) 3. Participation in the session of student presentation, including 1-page introduction and preparation for receiving cold call during the presentation (20%) 4. Midterm project proposal and Final-term paper (40%) Course outline (Course Schedule of 18 weeks) Week 1: Introduction Week 2: No Class ? Peace Memorial Day Week 3: Games on networks Ch.3 of (C) Bramoulle, Y. and R. Kranton 2007, Local Public Goods in Networks, Journal of Economic Theory Week 4: Coordination game Ch.4 of (C) Week 5: Social Learning Ch.5 of (C) Bala, V. and S. Goyal 1998, learning from neighbors, The Review of Economic Studies Week 6: Labor Market Ch.6 of (C) Calvu-Armengol, A. and M.O. Jackson 2004, The Effects of Social Networks on Employment and Inequality, American Economic Review Week 7: No Class ? Tomb Sweeping Day Week 8: Network formation Ch.7 of (C) Ch.5 of (SEN) Week 9: Student Project Proposal Week 10: Student Presentation Chatterjee, Kalyan and B. Dutta 2016, Credibility and Strategic Learning in Networks, International Economic Review Babus, Ana and T. Hu forthcoming, Endogenous Intermediation in OTC market, Journal of Financial Economics Week 11: Student Presentation Dutta, B., S. Ghosal, and D. Ray 2005, Farsighted Network Formation, Journal of Economic Theory Bloch, F. and M.O. Jackson 2003, The Formation of Networks with Transfers among Players, Journal of Economic Theory Week 12: Student Presentation Gale, D. and S. Kariv 2003, Bayesian Learning in Social Networks, Games and Eco- nomic Behavior Golub, B., and M.O. Jackson 2010, Nave Learning in Social Networks and the Wisdom of Crowds, American Economic Journal: Microeconomics Week 13: Student Presentation Elliott, M., B. Golub, and M.O. Jackson 2014, Financial Networks and Contagion, American Economic Review Calvu-Armengol, A. 2004, Job Contact Networks, Journal of Economic Theory Week 14: Student Presentation Hagg, M. and R. Lagunoff 2006, Social Norms, Local Interaction, and Neighborhood Planning, International Economic Review Chwe, M. 2000, Communication and Coordination in Social Networks, The Review of Economic Studies Week 15: No Class ? Dragon Boat Festival Week 16: Student Presentation Ballester, A. Calvu-Armengol, and Y. Zenou 2006, Who is Who in Networks: Wanted the Key Player, Econometrica Galeotti, A., S. Goyal, M.O. Jackson, F. Vega-Redondo, L. Yariv, 2010, Network Games, The Review of Economic Studies Week 17: TBA Week 18: Final No Class Chun-Ting Chen 32 Tuesday 6,7,8 ECON5131 (323EU1720) 3 (College of Social Sciences) Department of Economics,
(College of Social Sciences) Graduate Institute of Economics
*Registration eligibility: juniors and above, and graduate students. http://www.econ.ntu.edu.tw/db/new2011/index.asp?l=english

This course explores the ways in which firm strategy affects, and is affected by, how markets “work.” Understanding this interplay is crucial for those interested in management, public policy, consulting, antitrust law, as well as those generally curious about why certain products are (or are not) available and why it is that firms behave the way they do. This course will explore this “interplay” using a mixture of theoretical models and empirical tools with a heavy emphasis on real-world applicability of what we learn. This course surveys empirical research in industrial organization (IO), with a focus on statistical and game‐theoretic models. The goal of the course is to a) raise students’ awareness of what people care about in different industries or market structures, and b) stimulate new research interests. By the end of the course, students should be familiar with the key issues and approaches in empirical IO, the strengths of these research streams, and the opportunities to apply/extend them. College of Social Sciences Main Campus Microeconomics (I) & (II), Statistics and Econometrics (1) & (2) Chung-Ying Lee 30 Wednesday 6,7,8 ECON5126 (323EU2250) 3 (College of Social Sciences) Graduate Institute of Economics,
(College of Social Sciences) Department of Economics

*Registration eligibility: juniors and above, and graduate students. http://www.econ.ntu.edu.tw/db/new2011/index.asp?l=english