Digital Photogrammetry

To have a basic understanding of Digital Photogrammetry and its potential applications along with the integration trend with image processing and computer vision techniques. (1) Review of Photogrammetric Theories

(2) Introduction

(3) Fundamental of Digital Photogrammetry

(4) Applications of Digital Photogrammetry

College of Social Engineering Main Campus *Restrict to 3rd-year and above, and graduate students. Jen-Jer Jaw 20 Monday 2,3,4 CIE7091 3 Half Graduate Institute of Civil Engineering,Surveying and Geospatial Engineering Division http://www.ce.ntu.edu.tw/ce_eng/

Seismic Analysis and Design of Structures

Taiwan located in the conjunction of Eurasian and Philippine Sea plate. The hazards imposed by earthquakes are unique in many respects in this country. Planning to mitigate earthquake hazard requires a unique engineering approaches. It is this fact that has led to earthquake hazard reduction only by the design and construction of earthquake resistant structures. This course will teach the basic concept of seismic hazard, the influence of earthquake performance of structures and provide the principal and basic concept of earthquake resistant design.

1. Understand earthquake phenomenon,

2. Seismic hazard analysis,

3. Earthquake response of SDof system,

4. Earthquake response of MDof system.

5. ealstic response of structure under earthquake excitation,

6. Soil amplification under earthquake excitation,

7. Basic seismic design concept,

College of Social Engineering Main Campus Chin-Hsiung Loh 34 Friday 7,8,9 CIE7138 3 Half Graduate Institute of Civil Engineering, Structural Engineering Division http://www.ce.ntu.edu.tw/ce_eng/

Engineering Statistics

To introduce the principles of probability and statistics, and their applications in the engineering field Upon completion of this course, students should be able to:

(1)Compute and interpret descriptive statistics

(2)Understand the basic concepts of probability, random variables, probability distribution, and joint probability
distribution

(3)Compute point estimation of parameters and determine sampling distributions

(4)Construct confidence intervals

(5)Perform simple linear regression

College of Social Engineering Main Campus *Majors-only (including minor and double major students). On-Lei(Annie) Kwok 45 Tuesday 3,4,5 CIE2011 3 Half Department of Civil Engineering http://www.ce.ntu.edu.tw/ce_eng/

Hydrology

Hydrology is the study of the earth’s waters – their movement, distribution, and other relative qualitative and quantitative issues. The objective of this course is to introduce the student to 1) Principles and processes governing the movement of water through the hydrologic cycle, including atmospheric moisture flow, surface runoff, infiltration, river routing and groundwater flow; and 2) The quantitative description of hydrologic characteristics, including, hydrologic measurement, hydrologic statistics, and frequency analysis techniques applied to problems of engineering hydrologic design Students are expected to understand

1. The qualitative and quantitative description of hydrologic cycle

2. Infiltration process

3. Surface runoff process

4. Watershed precipitation runoff process

5. Channel routing

6. Introduction of groundwater

7. Hydrologic statistic and frequency analysis

College of Social Engineering Main Campus *Majors-only (including minor and double major students). Jiing-Yun You 40 Tuesday 3,4 Thursday 4 CIE3011 3 Half Department of Civil Engineering, Earth System Science http://www.ce.ntu.edu.tw/ce_eng/

Modelling and Numerical Simulation via Variational Calculus

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

Statistical Process Monitoring

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

Solid State Electronics

This course is a continuation of semiconductor material engineering and electronic device courses. In this course, students will be exposed to the basic theories of hetero-structures and their applications for electronic and opto-electronic devices including memories. Specifically, students are exposed to the major types of GaAs and GaN-alloyed semiconductors, their physical properties and structures which make them suitable for electronic and opto-electronic devices. Heterojunction bipolar transistors and modulation-doped field effect transistors will be used to describe the basic characteristics needed for electronic device operation. Then, to explain the required characteristics for opto-electronic devices, semiconductor lasers will be used as an example. 1. Able to explain the fundamentals of semiconductor heterostructures. 2. Able to explain the fundamentals of semiconductor devices (HBT, MODFET, semiconductor laser ) including their electronic and opto-electronic characteristics. 3. Communicate and work in a team to accomplish the given assignments in writing. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method. week 1 – 3, week 4 – 6, etc. AP Ir. Dr. Abdul Manaf Hashim conditional SMJE 4533 3 * Group 5 Textbook: 1. Semiconductor Physics and Devices, basic Principles: Donald A. Neamen, Third Edition, McGraw Hill. 2. Advanced Semiconductor Memories: Architectures, Designs and Applications, Ashok K.Sharma, Wiley-IEEE Press. References: 1. Solid State Electronics Devices: Ben G. Streetman, Prentice Hall (2000). 2. Semiconductor Fundamentals: Pierret R.F, Addison Wesley (1996) 3. The Essence of Solid State Electronics, Linda Edward-Shea, Prentice Hall (1996). Test, Assignment/Quizzes/Presentation, Final Examination AP Ir. Dr. Abdul Manaf Hashim mailto:abdmanaf@utm.my

Digital Signal Processing

The course covers Digital Filters design, Adaptive Filters, Hardware and Software of DSP, Correlation and Spectral Estimation of Random signals, and Time-Frequency Spectrum Analysis. This course introduces the Problem/Project Based Learning (PBL) on various applications in DSP. The PBL will focus on audio, speech signal processing. 1. Apply and investigate digital signal processing methods appropriately in signals and systems. 2. Analyse the signal processing problems in general electronic systems. 3. Design digital filter systems and investigate its performance. 4. Use modern technical software e.g. MATLAB for designing and examining the DSP systems. 5. Use technology for presenting a DSP task/project appropriately through written mode. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Demonstration, Problem Based Method. week 1, week 2, etc. Prof. Dr. Nozomu Hamada conditional SMJE 3163 3 Sem 6 1. Li Tan, Digital Signal Processing, Fundamentals and Applications, Academic Press, 2008 2. Steven Smith, The Scientist and Engineer’s Guide to Digital Signal Processing. http://www.dspguide.com/pdfbook.htm. 3. Oppenheim, Schafer, and Buck, Discrete-Time Signal Processing, Prentice-Hall, 1998 Test, Assignment, Project, Final Examination Prof. Dr. Nozomu Hamada mailto:nozomu@utm.my

CNC CAD/CAM

This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given project 1. Able to appty knowledge of Computer Aided Design and Computer Aided Manufacturing to the solution of engineering problems. 2. Able to develop engineering solution for engineering problems that meet specified needs with appropriate Computer Aided Design and Computer Aided Manufacturing approach. 3. Work in a team to accomplish the given project in demonstration, writing and presentation.

Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method week 1, week 2, etc. Dr Ahmad Muhsin Ithnin conditional SMJP 4633 3 Sem 8 1. CAD/CAM computer Aided Design and Manufacturing by Groover, prentice Hall 1984. 2. Understanding CAD/CAM by Bowman, Howard Co. 1986. 3. Computer Aided Manufacturing by Hsu-Pin Wang, second edition, 1999. 4. CAD/CAM by Taylor, Addison Wesley 1992. 5. Mikell P. Groover, Automation, Production systems and computer integrated manufacturing, Prentice Hall of India Private Ltd., New Delhi, 2001. 6. Ibrahim Zeid, CAD/CAM Theory and Practice, Tata McGraw-Hill Publishing Co. Ltd., New Delhi, 2001.
Report, Presentation, Peer Review Dr.Ahmad Muhsin bin lthnin mailto:ahmadmuhsin@utm.my

Professional Ethics, Safety and Health

This course provides knowledge on fundamental principles of ethics, and their application to the engineering profession. It also covers the skills and knowledge in promoting and maintaining health and safety in the workplace. The importance of acquiring professional ethics, safety and health will be explored through project by introducing the concept of Monozukuri. 1. Acquire knowledge of the principles of professional ethics, safety and health of engineer at the workplace, and the responsibility of engineer in the society. 2. Work effectively within a team to explain the various issues related to professional ethics, safety and health, and also understand the importance of environmental issues and sustainability. Prepare and write a group technical report. 3. Prepare and deliver presentation with the use of Microsoft PowerPoint technology. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative Learning & Independent Study, Project week 1, week 2, etc. Prof. Dr. Akira Kobayashi conditional UMJG 2022 2 Sem 2 1. M. W. Martin and R. Schinzinger (2005), Ethics in Engineering, Mc-Graw Hill, New York. 2. M Govindarajan, S Natarajan, VS Senthilkumar (2004), Engineering Ethics, Prentice Hall of India, New Delhi. 3. R. Schinzinger and M. W. Martin (2000), Introduction to Engineering Ethics, McGraw-Hill, United States. 4. C. B. Fleddermann (2012), Engineering Ethics, Prentice Hall, New Jersey. 5. M. T. Holtzapple and W. D. Reece (2005), Concepts in Engineering, McGraw-Hill, New York. Project Report, Project Presentation Prof. Dr. Akira Kobayashi
Dr. Mohamed Sukri Mat Ali mailto:a.kobayashi@utm.my,sukri.kl@utm.my

Computer Architecture and Multimedia Technologies

This course introduce to the organization and architecture of computer systems. The course covers data representation, instruction sets, memory systems, input and output devices, processor architectures, and advanced architecture for multimedia computing. 1. Analyse computer data representation and manipulation, and the foundations of computer systems organization. 2. Illustrate the concept of the instruction set architecture and the tasks of memory, processor and advanced architecture. 3. Construct simple programming using assembly language. 4. Acquire information obtained from various resources on recent topics of specific architecture for multimedia technology Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Demonstration, Problem Based Method. week 1, week2, etc. Prof. Dr. Fuminori Kobayashi conditional SMJE 3093 3 Sem 6 Textbook: W. Stallings, Computer Organization and Architecture: Designing for Performance, 9th Edition, Pearson, 2011 2. D.A. Patterson, J.L. Hennessy, Computer Organization and Design: The Hardware/Software Interface, 5th Edition, Morgan Kaufmann, 2013 Test, Assignment, Final Examination Prof. Dr. Fuminori Kobayashi mailto:kobayashi.kl@utm.my

Modelling and Simulation

In this course, various numerical analysis tools: scientific numerical computing, dynamic simulation, and finite element analysis software, are introduced. How to identify model geometry, boundary conditions, and material propcrties are discussed considering the physical interpretation ofproblems. The interpretation ofsimulation results is also discussed 1. Understand the operation of finite element methods, scientific numerical, and dynamic simulation software. 2. Create 2-dimensional geometry models, and define boundary conditions. 3. Obtain analytical solutions and compare with numerical simulation solutions.
Malaysia-Japan International Institute of Technology UTMKL Lecture, Tutorial and Discussion, Individual and Group Assignment. week 1, week 2, etc. Prof. Yutaka Asako conditional SMJP 4213 3 Sem 8 * not provided Assignment, Report and Final Examination. Prof. Yutaka Asako mailto:y.asako@utm.my