Table of Contents
Research Methodology (研究方法), Fall 2021
本課程介紹一個針對資訊工程領域的完整研究流程，包含如何尋找研究題目、如何研讀相關文獻、如何定義題目、如何設計演算法或數學分析、如何評估效能、如何撰寫論文及如何製作簡報。期望研究生修過此課程後能對如何做一個完整的研究有所了解。
This course introduces the procedure of a complete research. We fill focus on how a research problem is found, how to read related papers, how to define the problem, how to design and analyze the algorithms, how to evaluate the performances, how to write the academic reports, and finally how to present your researches.
Announcement
- 01/24:期末成績已公布，請至iClass查詢。
- 12/09: 報告順序：12/30(陳姵瑜、楊錦程、陳胤嘉)、01/06（呂志威、郭雅怡、許睿宸）、01/13(劉韋良、莊盛州、賀華立)。
- 11/11: Homework#2 (10%) 請下載模版檔案，並針對課堂上的5篇論文中，您最有興趣的一篇撰寫一個研究筆記。檔案請以PDF格式上傳至iClass平台，Deadline為 2021-11-21 23:59。
- 11/04: 本週我們有一個課堂學習活動，相關資訊在此。
- 10/21: 各位同學好，我想在本週完成自我介紹的作業。請尚未報告的同學於今日準備上台，謝謝。
- 10/14: 自我介紹投影片的上傳Deadline將會延至最後一位同學自我介紹完後的第一個星期日。
- 10/06: 各位同學好，依昨日學校公告，明天請至教室實體上課。因本週仍為緩衝時間，如果有同學因個人因素無法到教室實體上課，我仍會打開MS Teams上課並錄影。明天見。
10/01: 各位同學好，依學校發出的公告，因本課程的選課人數少於教室容流量，所以必需進行實體上課。我知道可能會造成不便，但學校目前的政策如此，我也只能遵循。所以，請各位同學下週開始就到課堂上來吧。如果學校有任何修正，我會再行公告，謝謝。- 09/30: Homework#1 (10%) 自我介紹的投影片請以PDF格式上傳至iClass平台，Deadline為 2021-10-17 23:59。
- 09/21: 09/23（四）第一次上課的網址 在此，我們線上見。課程介紹投影片在此 。
- 09/09: 第一次上課 09/23（四）將透過MS Teams上課，請先確認是否已經加入課程群組。
- 08/01: this website created on 08/01. It is the main source of all up to date course information and syllabus.
Instructor
- Sheng-Wei Wang (王聲葦), TKU CSIE Dept. E663, TEL , swwang.csie.tku@gmail.com or swwang@mail.tku.edu.tw
Time & Location
- Lectures: Thursday 18:10~19:00 @ D412
- Office Hours: Thursday 10:00~12:00 @E663
TAs
There is NO TA assigned to this course. Please contact the teacher directly if you have any question or suggestion.
Textbooks
To be announced.
Syllabus/Schedule
- Course syllabus [ slide]
- Introduction to RESEARCH [slide]
- Introduction to Academic Integrity [slide]
- How to READ an academic paper and EVALUATE its quality [slide]
- Make your own Research Notes (Example)
- How to FIND the research problems and what is academic Contribution [slide]
- Sharing my experience 【My Ph.D. Dissertation】
- How to SOLVE the problems[slide]
- How to EVALUATE the performance of your proposed methods / algorithms
- Technical WRITING
- PUBLISH your research articles [slide]
- PROTECT your research data [slide]
References
- Technical Writing
- Technical Writing Essentials
Grading
- Participation 30%
- Homework 30%
- Self-introduction 10%
- Classic paper 10%
- Research Presentation 10%
- Research Notes 40%.
Statistics
This page has been accessed for: 312 views (Today: 1 / Yesterday: 0 )
