Research Experimental Analysis

Research Experimental Analysis

Objective:

The purpose of this assignment is to help students getting familiar with the process of design and implement experiments for their research projects. Students will review, analyse, design, implement experiments to evaluate the proposed methodology in previous assignment, and report experimental results and findings as well.

Tasks:

1. Collect your data for experiment

a. Identify the available data sources for collection.

b. Select the most appropriate data source(s) and start data collection. You are asked to record the data sources that you have found, brief description of the available data using the following sample table:

Data Source Data Data File URL (if Charge Target
Source Organization Description Format available Fee data
Name online) source
Data 1 Sport Centre, Exercise txt http://xxxxxxx Free Yes
VU training
record
Data 2 $1000 No

c. Store the collected data in appropriate file format. You need to save the collected raw data, and keep a copy at all times.

i. Create a folder called “raw data” to store the collected raw data

ii. Record your data collection using the following sample table:

Data Date of Saved File Saved Saved File No. of Data Records
Source Collection Location File Format
Name Name
Data 1 15/3/2016 //raw data/ xxxx.txt txt 2000
Data 3

2. Design and implement experiments

a. Adopt data pre-processing. Not all the collected raw data are available as direct input of your methodology.

b. Feature selection or dimension reduction. You may need to select some of data features or data records from the entire data collection, not to use all the collected data. In other case, you may need to reduce the dimensionality of the collected data to simplify the data processing in the later stages. You need to save the result data set into a new file. You are asked to record these works using the following sample table.

Date Data Purpose Pre- No. No. No. No. New
Source of Pre- processi Original Result Original Result Data
Name processi ng Data Data Features Feature File
ng Method Records Records s Name
20/3/2 Data 1 Clean the Pre-fill 2000 2000 10 10 Data1_f
016 missing the ull.txt
data missing
values
22/3/2 Data 1 Feature xxxxxx 2000 2000 10 6 Data1_6
016 Selection features
.txt
Data 3

c. Design your experiment based on the proposed methodology. The main purpose of experiments is to prove that your methodology can provide expected outcomes. You can follow the experiments that you have read from literatures or any other ways that is suitable for your case. Your experiments procedure need to be detailed recorded, including instruction steps, input data, expected output, potential problems and other related issues. When state the procedure of experiment, you can use extra table, figure, chart, diagram to provide better description.

Date Experiment Purpose of Description Input Expected Result File
Experiment of Data Output Name
Procedure
26/3/ Experiment 1 Evaluate Output1.txt
2016 Method 1

d. To implement your experiment, normally you need to use software/tools or write your own program. Record your experiment results for each run as the references of the following analysis task.

3. Result analysis and summary

a. What are the expected results that you want to obtained from the experiment? You need to have a rough idea of what you may have in advance; you cannot wait until the experiment is done.

b. Plan your result analysis by thinking of what result you may have first. Write a summary of why you expected to have that results, how they can be linked to your research problems.

4. Write up your experiment and result analysis chapter.

a. Provide an outline of your experiment and result analysis chapter, including up to four levels of subsections. Only need to list the chapter titles (level 1), section titles (level 2), subsection titles (level 3), and sub-subsection titles (level 4).

Marking criteria

Assessment Criteria: Mark
Data Collection
Data source list 2
Data collection record 3
Experiment Design and Implementation
Data pre-processing 2
 Feature selection or dimension reduction 3
Experiment design 3
Experiment implementation records 2
Experiment Result Analysis & Summary
The expected results 2
 Summarize your expected results to answer research problems 3
Outline of Experiment and Result Analysis Chapter 5
Total 25

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