Research Skills

Preface

I will guide my students via hand-on trainings, instead of just conceptual descriptions of research skills.
After each training, I will give tailor-made feedbacks to my students so that they can know their own problems and acquire necessary research skills.
Different students have different strengths and different weaknesses.
I will try to enhance their strengths and remedy their weaknesses to suit their actual needs.
Hand-on trainings together with tailor-made guidance are important to students for learning comprehensive research skills.
In this way, students can conduct research independently without any supervision after their graduation.

First of all, at the beginning, I will give trainings to students with some well-known simple applications so that the trainings focus on develop students' research skills instead of consuming time on understanding some complicated applications.
Then, with a long-term supervision, I will fine-tune the trainings with our research projects.
With this strategy, students can acquire professional research skills easily.

The following materials are designed according to my research experience in the past.
I believe that they are helpful to students for conducting novel research in the future.

Raymond C.-W. Wong

Outline

• Introduction

• Core

  • Presentation

    • Writing

      • Audience

      • Objective

      • Motivation

      • Well-Defined Terminologies

      • Illustration

      • Organization

      • How to make it attractive

      • How to make your paper convincing

      • How to make your reader understand your work easily

      • Professional language - LaTeX

    • Oral

      • How to speak fluently and natively in English

      • How to make the audience attentive

  • Reading

    • Major Idea Capturing

    • Quick Literature Overview Trick

    • Deep Reading

    • Summarization

    • Critical Thinking

  • Fundamental Computer Science Technical Skills

    • Dynamic Programming

    • Linear Programming and Constrained Programming

    • NP-completeness

    • Approximate Algorithm

    • ...

  • Implementation Skills

    • Efficient data structure

    • Object-Oriented Programming

    • Unit Test

    • Integration Test

    • Test Case Generation

    • Debugging

  • Experimental Skills

    • Experimental Setup

    • Program Configuration - Input/Output

    • Batch Processing and Designing

    • Quick Figure Plotting

    • Trend Description and Explanation

  • Novel Idea Skills

    • Novel Problem Discovery

    • Novel Algorithm Designing

    • High Impact Research Work

    • Incremental Research Work

    • Closed-Door Research Work

  • Good Paper

    • Perspectives different from Existing Works

    • Theoretical Stuff

    • Better Results

    • Practical

    • Triggering other research works

    • Solving the problem comprehensively

Notes