Tag: National Taiwan University

Fundamentals of Biomedical Image Processing

Image processing is a basic tool for biomedical image analysis. Ranging from contrast enhancement to stereotatic surgery, image processing provides various levels of assistance to the biomedical researches and clinical applications. As an introductory course to the biomedical image processing, the aim of this course is to offer the entry-level graduate students the fundamental image processing techniques. The scope of this course will cover the basic transformation techniques, properties of various medical images, image acquisition, processing and rendering. In addition to the regular lectures, the students are required to exploit advanced techniques independently to reinforce learning. It will include one term project and a couple of paper studies.

Actual implementation of the image processing algorithms on the biomedical images will be emphasized in this course. Although it is not a pre-requisite, the students need to use Matlab as the programming tool for the homeworks. There will be about five homeworks for practice. One exam will be given toward the end of the class. The students will be asked to demonstrate the result of the term project by an oral presentation and a written report.

Topics

l Basic Transformation Techniques

l Basics of Medical Images

l Image Acquisition, Sampling, and Quantization

l Image Enhancement

l Image Segmentation

l Image Compression

l Volumetric Image Analysis

l Rendering Techniques

Getting acquainted with the fundamental image processing techniques for medical images College of Social Engineering Chung-Ming Chen 20 Monday 2,3,4 Biomed7016 3 Half Graduate Institute of Biomedical Engineering http://bme.ntu.edu.tw/english/

Forest Climate & Practice

This course is consist of three sections. First section provides basic information on meteorology such as temperature, humidity, radiations on earth surface. Second section shows theoretical background of water and CO2 exchange processes between atmosphere and forests. Third section shows field measurement techniques for the water and CO2 exchange processes. Finally, the impacts of the water and CO2 exchange processes on climate system and water resources are also examined. This course aim to develop basic ability to conduct a research for forest meteorology, hydrology and ecology through the course, and also to motivate to understand environmental issues such as human induced land-use changes and climate change based on biophysical background. College of Bio-Resources & Agriculture Main Campus Tomonori Kume 20 Monday 1,2,3,4,5 Forest3017 3 Half School of Forestry and Resource Conservation http://www.fo.ntu.edu.tw/main.php?lang=en&Trad2Simp=n

Ecology

This course provides students with a broad background in the principles of ecology. It covers ecology at different levels of organization, including behavioral, physiological, evolutionary, population & community, and ecosystem ecology. Some other specialized topics are also discussed.

Lectures generally follow a textbook, but materials outside the textbook are also covered. Students are responsible for all the materials covered in lectures — attendance is essential for a satisfactory completion of the course.

Lectures are mostly done using PowerPoint slides although some concepts are explained using the blackboard. The slide file of a lecture may be available before the lecture (I will try to upload the file by Wednesday night for the lecture given in the following day).

There are three exams. These exams account for 100% of the course grade. We do not curve exam scores regardless of the average score.

Attendance (including class participation) will affect bonus points. By asking questions and expressing ideas in class, you may gain bonus points. Poor attendance (e.g., absence and tardiness) as well as poor participation (e.g., sleeping, chatting, playing with an electronic device) would reduce bonus points. Poor participation is equivalent to missing a lecture. Your bonus points may become negative, but the minimum bonus point you will get for your final grade is 0. You should not expect to receive any bonus point after missing three or more lectures.

Unannounced quizzes may be given. Quizzes and assignments (if any are given — no assignments were given last year) are for bonus points. Because of this, even if a student misses a quiz with a legitimate reason, no make-up quiz will be given. Quizzes and assignments count for bonus points only when attendance and participation are satisfactory.

The maximum possible bonus point is 10% in the final grade. Students who get 100% on the exams and have good attendance can earn more than 100% in the course, but the maximum possible grade is 100%. The detail about the value of bonus points may change. If it changes, the value can only increase, but students should not expect a change to take place.

If any questions, including potential grading errors, arise for your grade on an exam, an assignment or a quiz, submit a written request with your rationale for a regrade. Requests must be made within one week of the return of a graded material, otherwise the grade is final. This one week starts from the day an exam is first returned in a class even if a student does not receive it by missing the class.

If you miss a class and do not receive a graded material, you can pick it up at the instructor’s office. The instructor will not bring it to a class again unless an arrangement is made.

If your grade based on the three exams is less than 60%, the maximum obtainable grade (with bonus points) is 60% (C-). In addition, master’s students whose grade is less than 70% based on the three exams can get at most 70% with bonus points.

Doctoral students will not receive bonus points. Exam scores completely determine the grade.

The schedule (described in the content section of this website) is subject to change throughout the semester. The dates on which the exams are scheduled can also change. After completing this course students will
1.have an understanding of fundamental concepts in ecology
2.become better prepared for taking advanced courses in ecology
3.be able to perceive nature scientifically
College of Bio-Resources & Agriculture Main Campus *Prerequisite: Calculus (general Mathematics)preferred Toshinori Okuyama 40 Thursday 6,7,8 ENT3003 3 Half Department of Entomology http://www.entomol.ntu.edu.tw/en/

Ecology Lab.

This is a lab course intended to complement the lecture course (ENT3003). It is designed such that students who are currently enrolled in ENT3003 can have better understanding of selected topics covered in the lecture course. Students cannot take the lab course without concurrently taking the lecture course. Students who had completed an equivalent ecology lecture course may take this course, but it is not recommended to do so because the lecture (ENT3003) and the lab (ENT3020) are not designed independently.

Attendance

Students are required to attend every lab. The following penalties will be applied:

Absence: -14 points.

Tardiness (< 15 min): -5 points. Tardiness (>= 15 min): -14 points.

(1 point is 1% of the final grade.)

Students who missed a lab are not allowed to submit any assigned work associated with the lab. Therefore, a missed lab can affect both attendance and assignment points at the same time.

No cellphones or mobile computers are to be used in class unless otherwise instructed by the instructor. Poor attendance in terms of participation (e.g., using a cellphone, sleeping, not participating in lab activities, etc.) will greatly reduce attendance points (e.g., equivalent to being absent).

Assignments

Everything students are asked to submit is an assignment (e.g., lab materials, data, quiz, report, homework). Submit an assignment on time. No late assignments are accepted. Lab activities are also counted as assignments. A missed assignment results in at least 6 points deduction.

Exam

There will be one exam in this course, and it is held at the end of the semester. The exam will ask the details of lab activities, including the interpretations of experimental methods and results. Participating in labs and understanding each lab activity is the best way to prepare for the exam.

Grading

Attendance and Assignments 55%

Exam 45%

There are no bonus points offered in this course.

A student can potentially get a negative final grade (e.g., many absenses), but such a student will still get an F as the final grade.

The schedule (described in the content section of this website) is subject to change throughout the semester. The following skills will be developed:

  • The scientific method (experimental design)
  • Understanding of selected ecological topics

    College of Bio-Resources & Agriculture Main Campus Toshinori Okuyama 40 Thursday 2,3,4 ENT3020 1 Half Department of Entomology http://www.entomol.ntu.edu.tw/en/

    Biological Treatment Processes

    Course outline:
    1. Introduction

    2. Wastewater of Characteriotics and flows

    3. Fundamentals of Microbiology

    4. Biological Reaction and Reaction Kinetics

    5. Reactor Design (1) Kinetic Model Development(2) Evaluation of Biokinetic Constants

    6. Aerobic Suspend-Growth Process (1) Activated Sludge Process (2) Oxidation Ditch(3)Treatment Ponds and Aerated Lagoon (4) Sequencing Batch Reactor(5) Deep Shaft Reactor

    7. Aerobic Attached-Growth Treatment Methods(1) Trickling Filter(2) Rotating Biological Contactors(3) Activated Biofilm(4) Contact Aerated Reactor

    8. Anaerobic Treatment(1) Introduction(2) Anaerobic Sludge Digestion(3) Anaerobic Wastewater Treatment

    9. Nitrogen and Phosphorous Removal Method
    College of Social Engineering Main Campus Hsin-Shin Tung 12 Thursday 7,8,9 EnvE7032 3 Half Graduate Institute of Environmental Engineering http://enve.ntu.edu.tw/dispPageBox/giee/GieeENHP.aspx?ddsPageID=GIEEEN

    Applied Mathematics (Ⅰ)

    There are three chapters in this course. Chapter one covers the Cartesian Tensors, which are extensive used in the courses of Elasticity, Plasticity, Fluid mechanics, Piezoelasticity, and etc. Chapter two includes three parts. The first part introduces the existence and uniqueness theory for the 1st order ordinary differential equation (ODE) and 1st order system of ODE. The second part covers the solution of 1st order linear system of ODE, which is particular useful for the course of Dynamics. The third part of this chapter is designed to the solution of linear 2nd order ODE with unknown source functions. We introduces the concept of Dirac delta function, generalized functions, adjoint operators, Fredholm alternative theorem, Green�fs functions and modified Green�fs functions and the integral representation of the solution of 2nd order ODE. Finally, Chapter 3 also includes three parts. The 1st part introduces the classification of linear 2nd order PDE. The 2nd introduces the Green�fs function and the integral representation of solution of 2nd order linear PDEs. Free space Green�fs functions are solved first for infinite domain and then method of images are introduced for solving some simple finite domain PDE problems. The 3rd part introduces the eigenvalue problem of self-adjoint boundary value problems of 2nd order PDE, and the full/partial eigenfunction expansion for solving the linear 2nd order BVP or IBVP. Also included in this part are the Maximum-Minimum principle and unique theorems for Laplace/Poisson equation and Heat equation. This course is aimed to let the graduate students own required knowledge in applied mathematics, which has applications in all aspects of mechanics, electricity and applied science. College of Social Engineering Main Campus Mao Kuen Kuo,U Lei 98 Tuesday 2 Friday 34 AM7006 3 Half Graduate Institute of Applied Mechanics http://www.iam.ntu.edu.tw/English/EN-homepage/homepage-Frameset.htm

    Dynamics

    1. introduction and scope
    2. introduction to mechanical vibrations
    motion of sdof systems
    motion of mdof systems
    finite element analysis of vibrating mechanical systems
    3. introduction to waves in structures
    longitudinal and flexural waves
    vibration of beams
    vibration of thin plates
    4. concept from linear system theory
    single-channel feedback control
    stability of single-channel system
    modification of the response of an sdof system
    5. transduction device dynamics and the physical system
    principal types of transduction devices
    piezoelectric material and definitions
    piezoelectric sensors and actuators
    fiber optic vibration sensors
    shape memory alloy actuators and sensors
    self-sensing actuator
    electrostrictive and magnetostrictive actuators
    signal conditioning
    6. active control of vibration in structures
    feedforward control of finite structures
    feedback control of finite structures
    feedforward control of wave transmission
    7. damping of structural vibrations with piezoelectric materials and passive
    electrical networks
    passive electrical networks: resistive shunting and resonant circuit shunting
    passive-active hybrid control system
    8. the epilogue : research issues
    references
    [1] rao, s.s., mechanical vibrations, 3rd ed. addison-wesley, 1995
    [2] fuller, c.r., elliott, s.j. and nelson, p.a., active control of vibration, academic press, 1996.
    [3] tzou, h.s., and anderson, g.l., (ed.), intelligent structural systems, kluwer academic pub., dordrecht/boston, 1992. Students after learning this course should know how to derive the constitutive laws for materials and have the ability to derive the equations of motion based on the Hamilton’s principle for continuous structures.

    Students are taught to perform theoretical analysis of vibration and wave motion of structures. They would be well trained with the knowledge of suppressing the vibration and noise of structures by the means of different passive and active feedback-control techniques together with sensors and actuators.

    Various applications from sensors to actuators are introduced and their working principles will be interpreted.

    College of Social Engineering Main Campus Kuo-Ching Chen 60 Tuesday 3,4 Thursday 2 AM7021 3 Half Graduate Institute of Applied Mechanics, Transprotation Electrification Technology Program http://www.iam.ntu.edu.tw/English/EN-homepage/homepage-Frameset.htm

    Advanced Concrete Theory

    (1) Basic Material Properties-An Overview.

    (2) Cement Hydration and Microstructure.

    (3) Concrete Strength Development.

    (4) Creep and Shrinkage of Plain and Structural Concrete.

    (5) Durability.

    (6) High-Temperature Effect:Design of Fire Resistance of Concrete Structural Members

    (7) Very Low Temperature Effects: Design of Concrete Vessels for Cryogenic Liquids.

    (8) Linear Elastic Fracture Mechanics: Stress Approach and Energy Approach.

    (9) Special Type of Concrete Materials (High Performance Concrete).

    (10) Micromechanics of Fibrous Composites-Elastic Modules and Stress-Strain Relation Tensile Strength of Fiber Reinforced Reinforced Composites.
    College of Social Engineering Main Campus Wen-Cheng Liao 34 Monday 7,8,9 CIE7170 3 Half Graduate Institute of Civil Engineering, Structural Engineering Division http://www.ce.ntu.edu.tw/ce_eng/

    Railroad Transportation Engineering

    (1) introduction to railroad transportation systems

    (2) principles and analysis of railroad transportation efficiency, economics, energy, and engineering

    (3) introduction to railroad infrastructure

    (4) introduction to locomotive and rolling stock design, function, and operation

    (5) introduction to railway traffic control and signaling

    (6) introduction to railroad operations

    (7) field trip: railroad track, equipment, and operations

    Rail transportation requires infrastructure, vehicles, motive power and energy to move goods and people. Each of these factors interacts to affect the efficiency, energy requirements and economics of railroad operation. This course covers the principles of railroad transportation efficiency, economics, energy, and engineering. Topics include introduction to railroad infrastructure, rolling stocks, signal systems, and operations. The course is designed to establish the basic understanding and skills for conducting railway research and industrial projects. College of Social Engineering Main Campus *Restrict to 3rd-year and above. Yung-Cheng Lai 70 Friday 7,8,9 CIE5075 3 Half Department of Civil Engineering, Graduate Institute of Civil Engineering, Transporation Engineering Division http://www.ce.ntu.edu.tw/ce_eng/

    Advanced Thermodynamics (Ⅰ)

    In this course, advanced concepts of thermodynamics will be presented. Starting with postulation approaches, the physical structure of thermodynamics shall be elucidated in a fundamental manner. In contrast to conventional engineering approaches that are generally focused on the application aspects, we will discuss the logic induction and mathematical framework that shape this subject. In addition to the relevant examples, regarding the formulation and description of fundamental equations, specific interest shall be directed to advanced topics such as stability of thermodynamic systems, phase transition, and critical phenomena. Furthermore, more insight will be gained as the macroscopic elements are connected to the microscopic structure, through the interpretation of entropy, in terms of the statistical mechanical treatment. Course Contents:

    1. The problem and the postulates

    2. The conditions of equilibrium

    3. Some formal relationships, and sample systems

    4. Reversible processes and the maximum work theorem

    5. Alternative formulations and Legendre transformations

    6. The extremum principle in the Legendre transformed representations

    7. Maxwell relations

    8. Stability of thermodynamic systems

    9. First-order phase transitions

    10. Critical phenomena

    11. The Nernst postulate

    12. Properties of materials

    13. Statistical mechanics and the entropy

    College of Social Engineering Main Campus Kuo-Long Pan 65 Wednesday 7,8,9 ME7002 3 Half Department of Mechanical Engineering, Graduate Institute of Mechanical Engineering http://www.me.ntu.edu.tw/main.php?site_id=1

    Clinical Translation and Industrialization of Biomaterials

    Many pieces of a puzzle have to be assembled to enable the successful translation of a novel idea into the clinic for the benefit of patients. First, the idea needs to be tested in a research environment before protecting and communicating the results, for example in a patent and/or journal publication. At this stage, the research can attract the interest of clinicians and/or manufacturers, who can help to progress the testing through clinical trials before a product can be launched. This course will give an overview over some of the main pieces of the puzzle that play a role on the path from the “bench to the bedside”, and will equip students with first-hand, up-to-date knowledge regarding aspects such as the management of intellectual property, regulatory requirements and standards, clinical trials and strategies for effective communication in an interdisciplinary environment. Furthermore, the students will be taken through several examples of successfully translated biomedical products to highlight key issues and pitfalls. Students gain a much sought-after understanding of the issues that are important for the successful translation of biomaterials research into the industrial world. College of Social Engineering Main Campus *Restrict to graduate students. Wei Bor Tsai 20 Monday 5,6,7 ChemE7039 3 Half Graduate Institute of Chemical Engineering http://www.che.ntu.edu.tw/che/?lang=en

    Water Resources System Analysis

    This course is intended to develop a students ability to quantitatively and qualitatively evaluate approaches to water resource management in terms of their technical feasibility, economic merits, and public policy implications. We will discuss the fundamental optimization theories and the application potentials for water resources and environmental systems planning, resources conservation, and pollution control. The operational research techniques, including linear programming, dynamic programming, nonlinear programming, stochastic programming and multi-objective programming, will be introduced. Both engineering and economic principles will be incorporated into optimization exercises that are used as a means of policy analysis. Most examples cover typical planning, design, and operation problems for water resources and environmental infrastructure with regard to complex multidisciplinary decision-making. Water resources system models addressing the interfaces and interactions between the built environment and the natural systems will be emphasized. Students are expected to finish a term-project according to their research interest to demonstrate their understanding of the course contents. You are supposed to understand:

    1) Introduce water resources systems modeling approach.

    2) Classical theory of maxima and minima

    3) Linear Programming

    4) Nonlinear Programming

    5) Dynamic Programming

    6) Optimization software

    7) Policy instruments and regulation

    8) Decision making theory & uncertainty

    9) Stochastic programming

    10) Discussion of water resource management and planning

    College of Social Engineering Main Campus *Majors-only (including minor and double major students). Jiing-Yun You 34 Monday 7,8,9 CIE7040 3 Half Graduate Institute of Civil Engineering, Hydraulic Engineering Division,
    Graduate Institute of Civil Engineering, Transporation Engineering Division http://www.ce.ntu.edu.tw/ce_eng/