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SEHS4510

Creation date：2025-01-24 15:39:55

Belonging category：商业分析business analysis

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Please refer to the Integrated Study Student Handbook for details.

Typical Research Process

Quantitative Methods

Introduction

(Collect & analyse

quantitative data, i.e.

Literature numbers)

Research

questions

Qualitative Methods

(Collect & analyse

Methodology

qualitative data, i.e.

words, opinions)

Results/Findings

Triangulation

Formulate plan (Combine different

research methods)

Discussion/Analysis

Conclusions

Adapted from p. 7 of Gray (2014) 3

Selecting a Research Area

• Sample Research Areas

• Advances in database technologies

• Emerging computer security problems

• Potential applications of data analytics

• Evaluation of e-commerce platforms

• Mobile application prototype development

• Ask yourself these questions:

• Why am I interested in this area?

• Why do I think that it is important?

• Is there the potential to write as much as I need to fulfil the

subject requirement?

• What experience do I have of the area?

Adapted from p. 86 of Newby (2014)

Selecting a Topic (1)

• Area of your interest

• Good chance of completing it

• Broad vs specific

• Even better if the topic:

• have practical application (later on)

• can improve current practices

• provide alternatives to existing practices

Adapted from p. 29 of Bell & Waters (2014)

Selecting a Topic (2)

• Think about:

• What may be involved in your topic?

• Time vs quality of study

• Initial consultation:

• Search from library’s databases:

• https://weblib.cpce-polyu.edu.hk/collection/eresources

• “Google” your topic

• Try: https://scholar.google.com

• See if similar research has already been done

• Ask your supervisor about your initial ideas

• Need refinement

• Literature review

• Consultation with teachers/supervisor

Adapted from pp. 30-31 of Bell & Waters (2014)

Problem Definition Process

(1) Symptom Detection

Exploratory

Research

(e.g. Literature Review,

(2) Analysis of the Situation

Qualitative Study)

(3) Problem Definition

(4) Research Aim & Objectives

Problem Definition Process

(1) Symptom Detection

• What are the symptoms?

(2) Analysis of the Situation

• Asking multiple what, where, who, when, why, and how questions

about what has changed

• Why were these happened?

• Who were involved?

• What are the possible impacts? To whom?

• How these could be changed (improved, addressed, etc.)?

Problem Definition Process

(3) Problem Definition

• Problem means gaps

• when there is a difference between the current

conditions and a more preferable set of conditions

• Examples

• why do people addict to mobile devices?

• why do people live in poor conditions?

• what are the causes of poor living standard of

elderly?

Problem Definition Process

(4) Research Aim & Objectives

• Aim(s)

• broad statement(s) of desired outcomes

• general intentions of the research

• emphasize what, not how

• Objectives

• a specific list of tasks to accomplish the aims

• emphasize on “how”

• focused and feasible

• there should be a corresponding method to

achieve each objective

Developing a “Researchable” Topic

•Does Not Provide •May Miss Some Important

Guidelines for Common Components of the Problem

Subsequent Steps •e.g. Samsung VR Gear is good

•e.g. VR is good for for playing games

Errors

learning

Problem Definition is Problem Definition is too

too Broad Narrow

Developing a “Researchable” Topic

• Features of Bad research topic

• No interest in topic

• No clear academic and career focus

• No reasonable access to sources of data, due to

confidentiality or other reasons

• Topic is too broad / general / vague

Sample Topics

Are they too broad? Workable?

• A Mobile App Prototype for Prevention of

Cognitive Decline and Dementia

• Factors affecting Hong Kong citizens to join

Electronic Health Record programme

• Develop an online shop

• A Study on Telemedicine

• The influences of internet addiction on

daily habits

Literature Review

• The process of searching for, reading, summarizing, and

synthesizing existing work on a topic or the resulting

written summary of a search

• Why?

• Helps researcher to identify their own research

• Examine what previous researchers have studied

/ used

• Provide context for your own work

• Provides an overview of the current state of

research and narrows your inquiry

How to Read an Article?

• Read the abstract

• a summary of a research article

• states the purpose of the research,

methods used & major findings

• Skim the article

• noting section headings, tables & graphs

• Read the entire article

• Review the article (again!)

Quantitative Research vs

Qualitative Research

Quantitative Research Qualitative Research

Generates data that Describes phenomena in

allows numerical analysis context

Uses statistical Interprets processes of

calculations meanings

Uses statistical software Uses theoretically based

(e.g. SPSS) & pre-tested concepts

scales

Seeks explanations & Seeks ‘understandings’

correlations

Adapted from p. 5 of Silverman (2014)

Case category

Tag cloud

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SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum

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