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Guideline for Doctoral Candidate Qualifying Examination

 

  1. Format of the Qualifying Examination:

    • Option i: Designate Curriculum (as the table shown below)
    • Option ii: Written Exams
  2. Designated Curriculum:

    • The curriculum includes graduate-level courses offered by each sub-division.
  3. Course Selection Requirements for PhD Students:

    • Major division: The student must choose two courses from their major division, as designated by their supervisor based on the student’s research interests.
    • Minor division: The student must select one course from their minor division, which cannot be from the same division as the major courses. This course is also designated by the student's supervisor.
  4. Grading Criteria to Pass the Qualifying Courses:

    • For the two major courses:
      • The student must receive a grade of A (or above) or rank in the top 33% of the class.
    • For the one minor course:
      • The student must receive a grade of A- (or above) or rank in the top 50% of the class.
  5. For students who have completed all major and minor courses:

    • Please download the form available at the end of this website and fill in with the required information.
    • Attach an official transcript as evidence of course completion and obtain the signature of your advisor on the form.
    • Submit the completed form, along with the transcript, to the department office no later than the end of your PhD 4th semester.
  6. Failure to Complete Requirements:

    • PhD students who fail to meet the qualifying-examination requirements within two years of enrolling in the program will be mandatorily withdrawn from the PhD program.
    • Exception: Students enrolled in the Direct-PhD program may transfer back to the master’s program to continue their MS study instead.
  7. Qualifying Courses List:

    • The following table lists the courses recognized as qualifying courses by our department.
    • Please note that not every course is available each semester. We recommend checking the course catalog system to confirm if a particular course is offered in the current semester.

Division

Code

Subject

Solid Mechanics

ME5103701

Theory of Elasticity

彈性力學

ME5002701

Advanced Engineering Mathematics

高等工程數學

ME5209701

Optimal Design

最佳設計

ME6101701

The Vibration of Machine Structures

機械結構振動學

ME5204701

Quality Engineering Using Robust Design

穩健化設計

ME5406701

Composite Materials

複合材料

ME5609701

Robotics

機器人學

ME5114701

Computer-Aided Structural Analysis

電腦輔助結構分析

Manufacturing

ME5301701

Manufacturing Analysis

製造分析

ME5312701

Advanced Engineering Metrology

高等精密量測學

ME5316701

Micro/Nano fabrication Technology

微奈米製造技術

ME5307701

Laser Material Processing

雷射加工

ME5332701

Special Topics on Wafer Planarization Technology

晶圓平坦化加工特論

ME5333701

Additive Manufacturing

積層製造

ME5340701

Advances in Machining

高等切削學

ME5913701

Experimental Design and Analysis

實驗設計與分析方法

ME5428701

Advanced Characterization of Materials Properties

高等材料性質分析

Thermo-fluid

ME5801701

Laminar Flow Theory

層流理論

ME5705701

Conduction Heat Transfer

傳導熱傳學

ME5706701

Convective Heat Transfer

對流熱傳學

ME5711701

Turbulent Flow with Applications

紊流與應用

ME5802701

Gas Dynamics

氣體動力學

ME6703701

Combustion

燃燒學

ME5001701

Advanced Engineering Analysis

高等工程分析

ME5002701

Advanced Engineering Mathematics

高等工程數學

ME5713701

Environmental Thermofluid Dynamics

環境熱流動力學

ME6802701

Computational Fluid Mechanics

計算流體力學

Control

ME5606701

Digital Control Theory

數位控制

ME5601701

Linear System Theory (1)

線性系統理論()

ME5515701

Mechatronics and Integration

機電整合

ME5617701

Digital Surveillance Systems and Application

數位監控系統與應用

ME5014701

Data Science and Machine Learning

資料科學與機器學習

ME5605701

Optimal Control (I)

最佳控制()

ME5626701

Deep Learning for Computer Vision

深度學習與電腦視覺

ME5625701

Deep Learning Architecture and Application

深度學習架構與應用

Material

ME5414701

Phase Transformation

相變化

ME5405701

Metallurgical Thermodynamics

冶金熱力學

TX5004701

X-Ray Diffraction and Crystallography

愛克斯光繞射及結晶學

ME6405701

High-temperature Corrosion

高溫腐蝕

ME5427701

Introduction to Surface Engineering

表面技術工程

ME5423701

Hydrogen Technolgy and Applications

氫能技術與應用

ME5401701

Powder Metallurgy

粉末冶金學

  1. Failure to Meet Grade Requirements:

    • If a student fails to meet the grade requirements in a course, they may apply to the department office to retake the same course multiple times before the beginning of the next semester.
    • The student is required to eventually meet the specified grade requirements to pass the qualifying examination.
    • The course credits will be counted only once, even if retaken.
  2. Alternative Option: Written Exam:

    • PhD students may complete the qualifying-examination requirements by taking a written exam for each subject, equivalent to the designated course.
    • Written exams are held every semester, specifically in March and October.
    • Students can take up to three subjects per session and must achieve a score higher than 70% to pass.

Written Exam option is available exclusively to Ph.D. students who have reached their fourth semester of study and have not yet fulfilled the coursework requirements for the Ph.D. qualifying examination. In principle, all Ph.D. students are required to complete the qualifying examination requirements through coursework within 2 years as the first priority. Direct application for the written examination without completing the necessary coursework is not permitted.

  1. Preparation of Written Exams:

    • The written exams for each subject are prepared by a faculty member, typically the instructor of the equivalent designated course, as appointed by the department head.
  2. Details of the Written Exams:

    • Duration: The written exams last 120 minutes.
    • Grading: The completed written exams are sealed and graded anonymously.
  3. Eligibility of Past Courses:

    • Any designated course completed by the PhD student within five years at our department (even if taken prior to admission into the PhD program) is eligible to meet the qualifying-examination requirements.
  4. Effective Date:

    • The above code of practice, along with any amendments, has been approved in the departmental faculty meeting and is effective immediately upon announcement.

 

03/Sept./2024, Amended and approved at Academic Committee meeting

 

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