1. Overview on Organic Functional Materials for Chemical Industry.(2 hr) 2. Functional Polymer Synthesis (6 hr) (1) Controlled polymerization using organocatalyst (2) Group transfer polymerization of methacrylate and acrylate (3) Ring-opening polymerization of epoxide (4) Ring-opening polymerization of cyclic ester and carbonate 3. Architecture and Morphology Control of Organic Materials (6 hr) (1) Synthesis of architecturally complex polymers (2) Synthesis of branched polymers (3) Synthesis of cyclic polymers (4) Phase separation and self-assembly of architecturally complex polymers 4. Electronic Device Applications (4 hr) II. Prerequisites: Organic Chemistry or Polymer Chemistry III. Grading Policy: Term paper or written exam. IV. Lecture Notes (ppt viewgraphs) will be provided but no textbook. Let the student understand the recent advances of polymer synthesis and applications. College of Engineering Main Campus Prerequisites: Organic Chemistry or Polymer Chemistry Wen Chang Chen 20 Thursday A,B,C ChemE5056 (524EU0650) 1 (College of Engineering) Graduate Institute of Chemical Engineering,
(College of Engineering) Department of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

I. Outline 1. Fundamental and Applications of Polycondensation (12 hr): Mitsuru Ueda 3/1 (6:30-9:20 pm), 3/2 (2:20-5:20 pm), 3/8 (2:20-5:20 pm), and 3/9 (6:30-9:20 pm) (1) Polycondensation, Polyaddition, and Poly)addition-condensation) (Review) (2) Control of Molecular Weight Distribution: Synthesis of Condensation Polymers with a Narrow Molecular Weight Distribution (3) C-H Activation: Metal Catalyzed Direct C-H Arylation for Synthesis of π-conjugated polymers (4) Sequence Control: Multicomponent Polymerization (MCP) (5) Regioselective Coupling: Oxidative Coupling Polymerization (6) Control of Branching: Synthesis of a Hyperbranched Polymer with Controlled Degree of Branching 2. Functional Polymers: Their Design and Synthesis (12 hr): Toshio Masuda 3/15 (2:20-5:20 pm), 3/16 (6:30-9:20 pm), 3/22 (2:20-5:20 pm), and 3/23 (6:30-9:20 pm) (1) Overview and Recent Progresses (2) Olefin Polymerization (3) Olefin Metathesis and ROMP (4) Various Conjugated Polymers (5) Polyacetylene (6) Substituted Polyacetylenes 3. Molecular Design and Precise Synthesis for Architectural Polymers (12 hr): Akira Hirao 4/6 (6:30-9:20 pm), 4/7 (6:30-9:20 pm), 4/12 (2:20-5:20 pm), and 4/13 (6:30-9:20 pm) (1) Polymer Blends and Multiphase Polymers (2) Block Copolymers from Living Anionic Polymerization (3) Precise Synthesis for Architectural Polymers from Living Anionic Polymerization 4. 4/19 break 5. 4/26 Midterm exam 6. 5/3 break 7. Conjugated Polymers: Fundamentals and Applications (18 hr): Wen-Chang Chen 5/10, 5/17, 5/24, 5/31, 6/7, 6/14 all from 2:20-5:20 pm (1) Design, Synthesis, and Properties of Conjugated Polymers (2) Conjugated Polymers for Light-Emitting Diodes (3) Conjugated Polymers for Field Effect Transistors (4) Conjugated Polymers for Photovoltaic cells. (5) Organic Electrical Memory Materials and Devices (6) Conjugated Polymers for Stretchable Electronics 8. 6/21 Final Exam II. Prerequisites: Organic Chemistry or Polymer Chemistry. III. Grading Policy: Term paper or written exam. IV. Lecture Notes (ppt viewgraphs) will be provided but no textbook. College of Engineering Main Campus Prerequisites: Organic Chemistry or Polymer Chemistry Wen Chang Chen 50 Wednesday 7,8,9 ChemE5058 (524EU0910) 3 (College of Engineering) Department of Chemical Engineering,
(College of Engineering) Graduate Institute of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

In this course we will cover the modern perspective of magnetism and magnetic materials. The lecture will start from the basics of electromagnetism and quantum mechanics, then go deeper into the concepts of quantum spin, spin-orbit interaction, and exchange interaction…etc. After understanding these basic principles, we will discuss the origins of various types of magnetic properties in different materials as well as the characterization techniques for obtaining these properties. For the last part, we will discuss the modern approach of combining electronics and magnetism into one big spintronics picture. We will go over some remarkable discoveries such as Giant magnetoresistance (GMR) and spin transfer torque (STT), which revolutionized the contemporary magnetic-memory development. I. Electromagnetism in a nutshell II. Quantum mechanics in a nutshell III. Magnetism in materials IV. Characterization techniques V. Transport measurements VI. Spintronics: Modern magnetism College of Engineering Main Campus General physics, Introduction to materials science and engineering Chi-Feng Pai 30 Wednesday 2,3,4 MSE7025 (527EM1690) 3 (College of Engineering) Graduate Institute of Materials Science and Engineering
http://www.mse.ntu.edu.tw/index.php?lang=en

The objective of this course is to explore the applications of biotechnology in environmental monitoring, environmental risk assessment, and remediation. The contents will cover microbial metabolic reactions, biodegradation of pollutants, and engineering applications in water, soil, and groundwater treatments. 1. Basics of microbial metabolism and ecology 2. Microbial degradation kinetics 3. Aerobic and anaerobic transformation 4. Biofilms 5. Bioremediation (soil and groundwater) 6. Phytoremediation 7. Biotechnology in wastewater treatment (aerobic and anaerobic) 8. Bioenergy recovery (from waste to energy) 9. Biotechnology in water treatment College of Engineering Main Campus Environmental microbiology Hsin-Shin Tung 20 Monday 7,8,9 EnvE8017 (541ED1150) 3 (College of Engineering) Graduate Institute of Environmental Engineering http://enve.ntu.edu.tw/dispPageBox/giee/GieeENHP.aspx?ddsPageID=GIEEEN

The course has the following major components: 1. Water uses and pollution: Overview of water characteristics, water uses, water pollutants; sources of water pollution, characteristics of domestic wastewater and industrial wastewater 2. Chemical reaction and pollutant transfer: Reaction kinetics, reaction equilibrium, mass balance, reactor performance, pollutant transport model 3. Water Quality in Natural Systems: Analysis of Lake eutrophication, conventional pollutants in rivers, etc.. 4. Water Pollution Management: Water quality monitoring, pollution management practices 1. Understand fundamental principles of water quality management 2. Use mathematical models to deal with water quality problems in natural and engineered systems. These include mass balance, reaction kinetics, and transfer mechanisms 3. Equip the knowledge to analyze the problems associated with water quality to predict impacts associated with the pollution of the environment College of Engineering Main Campus This course is taught in English Yi-Pin Lin 30 Tuesday 7,8,9 EnvE7073 (541EM0720) 3 (College of Engineering) Graduate Institute of Environmental Engineering http://enve.ntu.edu.tw/dispPageBox/giee/GieeENHP.aspx?ddsPageID=GIEEEN

This is the first course in numerical analysis for graduate students. The main objectives of this course include: (1) development and applications of numerical methods when analytical techniques are not available; (2) development of a conceptual framework for analysis of methods to fix the problem; (3) discrete calculus and approximations; (4) tradeoffs between accuracy and computational cost; 1. Interpolation (3 hrs)
(1) Lagrange Polynomials
(2) Polynomial Interpolations; Splines
2. Numerical Differentiation (4 hrs)
(1) Construction of Finite Difference Scheme, Order of Accuracy
(2) Modified Wavenumber as a Measure of Accuracy
(3) Pade Approximation
(4) Matrix Representation of Finite Difference Schemes
3. Numerical Integration (8 hrs)
(1) Trapezoidal Rule; Simpson’S Rule; Error Analysis and Mid-Point Rule
(2) Romberg Integration and Richardson’S Extrapolation
(3) Adaptive Quadrature; Gauss Quadrature
4. Numerical Solution of Ordinary Differential Equations (10 hrs)
(1) Initial Value Problems; Numerical Stability Analysis, Model Equation
(2) Accuracy; Phase and Amplitude Errors
(3) Runge-Kutta Type Formulas, Multi-Step Methods; Implicit Methods
(4) System of Differential Equations; Stiffness
(5) Linearization For Implicit Solution of Non-Linear Differential Equations
(6) Boundary Value Problems, Shooting, Direct Methods, Non-Uniform Grids, Eigenvalue Problems
5. Partial Differential Equations (10 hrs)
(1) Finite-Difference Solution of Partial Differential Equations
(2) Modified Wavenumber and Von Neumann Stability Analysis, Modified Equations Analysis
(3) Alternating Direction Implicit Methods; Non-Linear Equations; Iterative Methods for Elliptic Pde’s College of Engineering Main Campus HOMEWORKS (55%); MIDTERM EXAM (%15); FINAL EXAM (%30) Chou, Yi-Ju 54 Tuesday 7,8,9 AM7008 (543EM1110) 3 (College of Engineering) Graduate Institute of Applied Mechanics
http://www.iam.ntu.edu.tw/English/EN-homepage/homepage-Frameset.htm

This course will discuss traveler behavior within and relative to transportation systems. One major focus is to read behavioral patterns from data using a variety of econometric tools and understand the relevant theories and mathematics. This course will also explore the cognitive process for travel decision-making at the level of psychological analysis, ultimately seeking to derive its implications in the planning, design and operation of a transportation system. College of Engineering Main Campus Assignment: 35% In-class participation: 15% Mid-term examination: 20% Term project: 30% Yu-Ting Hsu 20 Tuesday 2,3,4 CIE5104 (521EU8850) 3 (College of Engineering) Department of Civil Engineering,
(College of Engineering) Graduate Institute of Civil Engineering, Transporation Engineering Division
*Majors-only (including minor and double major students). http://www.ce.ntu.edu.tw/ce_eng/

Buildings can produce less greenhouse gas emissions while being more energy efficient, comfortable, healthy, and economical through the proper application of sustainable design, construction and operation principles. In this course, students are introduced to environmental issues associated with buildings as well as concepts of performance indicators. Also, students are exposed to the fundamental knowledge of modeling methods and simulation tools used in performance-based building design, and operation. This sets the ground for an in-depth discussion of performance prediction for energy demand and the use of building simulations in life cycle analysis for the selection of energy-efficient building components and systems. College of Engineering Main Campus Engineering Mathematics (I), Engineering Mathematics (II), Computer Programming Ying-Chieh Chan 40 Monday 2,3,4 CIE5116 (521EU9060) 3 *Majors-only (including minor and double major students). http://www.ce.ntu.edu.tw/ce_eng/

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