0. Introduction to Matlab

1. Introduction (1.1-1.2, 8.1)

2. Definitions and concepts (2.1-2.3, 3.4)

3. Basic equations: equilibrium, compatibility and constitutive equations (course notes)

4. Axial element (2.4-2.6)

5. Direct stiffness method (3.1-3.3, 3.5, course notes)

6. Programming for FRAME15 (course notes)

7. 3D beam-column element _ strength of materials approach (4.5-4.7)

8. Coordinate transformation; contragredient principle and congruent transformations (5.1)

9. Solution of linear algebraic equations (11.1-11.6)

10. Equivalent nodal loads; self-straining problems; support settlement (5.2-5.3)

11. Principle of virtual displacements (6.1-6.4)

12. Principle of virtual displacements in framework analysis (7.1-7.5)

13. Special analysis procedures (13.1-13.6, course notes)

14. Element flexibility matrix (course notes, 4.4)

15. Principle of virtual force (6.5, 7.6)

16. Flexibility method (course notes)


Develop ability of matrix structural analysis not only in theory but

also in imeplementation. College of Social Engineering Main Campus *Prerequisite: Structural Theory Liang-Jenq Leu 80 Thursday 2,3,4 CIE7024 3 Half Graduate Institute of Civil Engineering, Structural Engineering Division http://www.ce.ntu.edu.tw/ce_eng/

The finite element computational simulation methodology, starting with the variational formulation of the problem, allows students to quickly familiarize themselves with finite element theory, to solve complex partial differential equations, to implement their own customized software to simulate a specific physical phenomenon required in their research, and to learn the necessity and importance of the variational calculus. It is a different approach in relation to what is present in the current finite element computational simulation commercial software, which contains the implementation of the final discrete (matrix) formulation of a problem, thus limiting the physical phenomena (differential equations) that can be modeled only to those problems already implemented in the Software. In the new approach we start with the variational formulation, thus allowing more flexibility and generality in the computational simulation of the physical phenomena (partial differential equations). The aim of this course is to teach the concepts of a finite element computational simulation methodology that allows starting from the variational formulation of the problem to solve partial differential equations. In this way, concepts will be explored on the finite element method, variational calculation, high order linear system solution techniques and other concepts involved in the method. As a tool will be used FENICS software (free license), which is a recent computational tool that follows the concept of modeling from the variational formulation. Engineering School (EP) São Paulo main campus 1. Introduction to the finite element method (Implementation of the Poisson equation, Verifying code with the method of manufactured solutions) 2. Constructive solid geometry; Geometric singularities in the L-shaped domain 3. Adding a potential term; Varying the type of boundary conditions; Integrating over subdomains 4. The Newton-Kantorovich method for PDEs 5. Nonlinear radiation boundary conditions 6. Continuation for nonlinear problems 7. Solution of time-dependent PDEs (PDEs on manifolds) 8. Mixed variational problems: the Stokes equations 9. Nonlinear hyperelasticity 10. Variational inequalities with semismooth Newton methods 11. Eigenvalue problems 12. Oneshot methods for PDE-constrained optimisation problems 13. Parallelism in PDE solvers with MPI 14. Algebraic and geometric multigrid methods 15. Schur complement preconditioners: the Stokes equations 16. Bifurcation analysis of PDEs 17. Bifurcation analysis of the Navier-Stokes equations Emilio Carlos Nelli Silva 32 PMR5412 8 Based on Project (10-page report) http://www3.poli.usp.br/en/welcome.html

With the growth of the globalization and new opening markets, the concern of the companies to monitor the quality of the products and/or services has increased as quality becomes a decisive factor to guarantee its permanence in the market. Consequently, companies are increasingly driven to invest in the management and technologies to intensify their market competitiveness and provide an increase in the quality and cost /benefit of your products and/or services. In this scenario, statistical methods, mainly the control charts, have become an indispensable tool when they are used to monitor the quality of products and/or services. Control charts was proposed by Walter Shewhart at 30s and traditionally they have been used to monitor production process but recently been employed to monitor other types of process like service, surveillance of diseases. The control charts can be classified in different manners. They may be according to the number of quality characteristics as univariate control chart when there is a single quality characteristic of interest or multivariate control chart when more than one quality characteristic is monitored. Or according to the nature of quality characteristic we have attribute control chart (when the nature is qualitative) and variable control chart (when involves measurement). Or if the monitored statistic takes into account the previous observations (as the CUSUM type control chart or EWMA type control chart) or not (only the current observation, called Shewhart type control chart). Motivated by the increase of the number of the contributions on this subject and the relevance of this tool in the monitoring of industrial process, the new control charts and improvement in the existed ones have been continuously proposed by many researchers. The aim of this course is to present the main types of control charts and how design them adequately in order to meet desirable performance metrics. The aim of this course is to present the main tools used to monitor statistically a process. Engineering School (EP) São Paulo main campus Development of statistical concepts and theory underlying procedures used in quality control applications: error of type I and II; run length; average run length. Process improvement strategies, univariate control charts for process monitoring: Shewhart type control chart, Cumulative sum type control chart, EWMA type control chart, adaptative type control chart, multivariate process monitoring, profile monitoring, health-related surveillance, Markov chains: steady state, zero state, the use of basic time series models. Linda Lee Ho, Celma de Oliveira Ribeiro 30 PRO5859 8 The students will be required to take two tests and to present a seminar; exercises using the Free R statistic software program http://www3.poli.usp.br/en/welcome.html

This course stresses on one aspect of design which is the design for strength. Other aspects of design are touched on the surface. The design for strength means determining the appropriate size and material of structures or components to be designed so that they are free from mechanical failures such as yielding, fracturing and buckling. Students will be exposed with static and dynamic failure theories. As a start, students are to design simple structures that they have encountered before: rod, beam, shaft and thin and thick cylinders. Following that, students will learn how to design mechanical components that include bolts, welding, bearings, gears and belts. The applications of these components in machinery will also be exposed. Throughout the semester, students will be tested with open-ended design problems that may come in forms of tutorial, test and projects 1. Classify material’s properties and materials for engineering use 2. Ability to analyze and synthesis engineering knowledge in design of engineering devices. 3. Convey the analysis results not only to team members but also to instructors 4. Presenting the idea of project based on specific case study. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method. week 1 – 2, week 3 – 4, etc. * not provided conditional SMJP 3163 3 Sem 6 * not provided Test, Assignment, Final Examination * not provided

The course will introduce the basic concept and components of automatic control systems and some methods of analysis and design feedback control systems. The students will be exposed to use of numerical analysis tool such as MATLAB for control system analysis and design. 1. Illustrate the basic principles of automatic control systems. 2. Model electrical, mechanical and electromechanical systems using transfer functions and find equivalent systems. 3. Analyze time response and stability of LTI transfer functions. 4. Tune controllers’ parameters using Root Locus. 5. Demonstrate the ability to solve control system problems by numerical analysis. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method. week 1, week 2, etc. Dr. Jun Ishimatsu conditional SMJP 3223 3 Sem 6 1. Norman S. Nise, Control Systems Engineering, 6th. Edition, Wiley, 2011. 2. dean frederick and Joe Chow, Feedback Control Problems using MATLAB and the Control System Toolbox, thomson 2000. 3. Katsuhiko Ogata, modern Control Engineering, 5th. Edition, Prentice Hall, 2010. Test, Assignment, Final Examination Dr. Jun Ishimatsu mailto:junishimatsu@utm.my

This course provides the basic fundamental of thermodynamics for engineering application & problem solving. The topics covered include the first and second laws of thermodynamics, closed system and control volume analysis, entropy, reversible and irreversible processes, properties of pure substances. Application to engineering problems includes vapor power cycles, refrigeration and heat pump & air conditioning systems. 1. Explain the different properties and states of open and closed systems Calculate the thermodynamic properties for a given specific system or a process. 2. Analyze the performance of power and refrigeration cycles Malaysia-Japan International Institute of Technology UTMKL Lecture, Individual and Group Work, and Group Assignment. week 1 – 4, week 5 – 7, etc. Prof. Dr. Masafumi Goto conditional SMJC 1213 3 Sem 2 1. Cengel, Y.A. and Boles, M.A., 2010. Thermodynamics. An Engineering Approach, 7th Edn. McGraw-Hill. Assignments, Tests, Projects, Final Examination Prof. Dr. Masafumi Goto mailto:goto@utm.my

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

See details at the class homepage: http://www.rslabntu.net/courses/remote_sensing See details at the class homepage: http://www.rslabntu.net/courses/remote_sensing College of Bio-Resources & Agriculture KE SHENG CHENG Friday 789 BSE5019 3

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

This course introduces the state-of-the-art energy technology and development. Subjects include energy generation, storage and conversion technology and related applications will be covered. For example: hydrogen economy, nuclear energy, wind power and solar cells, batteries, green buildings etc. I aim to prepare students with abilities of active learning and creative thinking. Innovative pedagogical methods such as fishbowl discussion, brainstorming, mock conference, and debate etc. will be practiced in this class. College of Bio-Resources & Agriculture Students are required to study the assigned contents each week, and exchange ideas and thoughts in class. 50% of the final grade is based on in-class discussions, while the other 50% is based on the final report. The topics of final projects, which focus on energy issues facing Taiwan, will be developed over the course of the classes by each student. HSUN-YI CHEN Tuesday 6 Friday 34 BME5920 3

Please see the Chinese version Please see the Chinese version College of Electrical Engineering & Computer Science Please see the Chinese version JAMES B KUO Monday ABC EE5078 3

1. INTRODUCTION TO LIGHTING 2. COLOR SCIENCE 3. INRODUCTION TO DIODES 4. CARRIER RECEOMBINATION 5. LED MATERIAL AND DEVICE 6. HIGH POWER LEDS 7. APPLICATION OF LEDS College of Electrical Engineering & Computer Science NONE! UNDERGRADUATE STUDENTS ARE EXTREMELY WELCOME TO TAKE THE COURSE! JIAN JANG HUANG Tuesday 789 OE5040 3