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Database Development and Design (DTS207TC)

Assessment 002: Individual Coursework

Due: Dec 24th, 2024 @ 23:59

Weight: 40%

Maximum Marks: 100

Overview & Outcomes

This course work will be assessed for the following learning outcomes:

C. Illustrate the issues related to Web technologies and DBMS and XML as a semi-structured data representation formalism.

D. Identify the principles underlying object-relational models.

Submission

You must submit the following files to LMO:

1)A report named as Your_Student_ID.pdf.

2)A directory containing all your source code, named as Your_Student_ID_code.

NOTE: The report shall be in A4 size, size 11 font, and shall not exceed 8 pages in length. You can include only key code snippets in your reports. The complete source code can be placed in the attachment.

Assessment Tasks

Now we have some stock-related datasets in XML format (attached). We would like to put it on a website for users to query.

1)   Browse through these XML files in the attachment, and define DTD and XML Schema for  them. Use both definitions to validate the XML files and manually fix any potential errors. Extract the file headers from the XML Schema and convert the XML to CSV. Open the generated CSV with any editor and take a screenshot. (20 Marks)

2)   Use flask_sqlalchemy in Flask to build an ORM for the CSV from task 1), and import the   data into PostgreSQL. Manually draw an Entity-Relationship diagram for the three tables, take a photo, and include it in the report. (20 Marks)

3)   Use Flask to implement the required web page as shown in the diagram, which includes a  table with the necessary fields. To differentiate yourself, you can set the form. style. to your preference and take a screenshot. (20 Marks)

4)   Based on task 3), add filtering functionalities for stock name, start time, and end time,

implementing a page as shown below. Note that one or more of these filter conditions can be empty, meaning no filtering based on that condition. To differentiate yourself, you can  set the form. style. to your preference and take a screenshot. (20 Marks)

5)   Use the provided testing program to perform. a performance test on task 4). The program   uses a POST request to query with all conditions set to empty, which should return the full  result set. As long as the returned content is correct, you can optimize performance in any  way. Take a screenshot of the test results. Ideal performance should be no higher than 0.2 seconds per query. (20 Marks)

NOTE:

a.    Provide a brief introduction to the program logic in your own words; including code

snippets is encouraged, but please do not directly paste the entire program into the report without explanation;

b.   For your full academic development, the use of generative AI to gain inspiration is allowed  for this assignment; however, out of mutual respect, please do not directly paste its output into your assignment and submit it;

c.   To prove that you have indeed completed this assignment and did not rely solely on generative AI, please provide screenshots of the running results for each task

Marking Criteria

The tasks in this assessment can be divided into 3 categories:

Charts Presentation & Analysis;

Essay;

Programs.

Criteria(%)

Exemplary

(100)

Good (75)

Satisfactory (50)

Limited (25)

Very Limited (0)

Design

Provides a

detailed,

accurate

description of the methods. Provide

comprehensive comparison

between the methods,

including pros and cons,

performance analysis.

The analysis provided

demonstrates that the

student's

understanding of the various methods is

correct and

that they have the ability to

solve problems independently. Although there

are certain flaws, or

incomplete.

Provides

adequate

description of the methods. Comparison is provided with some level of details,

however, with some obvious mistakes.

There are obvious deviations in the understanding of the main

methods, and it

fails to reflect the ability to

independently

design

algorithms. The

description of the problem is vague, or the thought is incomplete.

Limited or no description of methods.

Limited

comparison provided.

Programs

Demonstrated correctly

implemented code that

produces

correct output.

Excellent

coding quality follows best

practices.

The program runs correctly and gives the expected

results.

However,

special cases are not fully

considered, or the program performs

redundant

calculations.

Program basically works

correctly for major

functionality, however, with some

conceptional problems.

The program

implements some minor

functionality, or incorrectly

implements major

functionality.

There is a certain degree of

misunderstanding

about the

requirements of the questions.

Program

works

incorrectly with limited attempt or irrelevant to the task.

Charts

Excellent

Most of the

Moderate

Only some of the

Limited or no

Presentation

quality of

results in the

quality of

results in the

attempt of

& Analysis

report with

chart are

report with

chart are correct,

report.

clear structure,

correct, but

basic

or some of them

clear logic,

there is a

structure,

are not filled in.

concise writing, pleasing visual aids.

certain degree of sloppy or

wordy in the overview and analysis.

where writing and visual aids

can be

improved.

The analysis of

the results was

obviously biased.

The mark allocations for the above tasks are:

Task

Design

Programs

Charts Presentation & Analysis

1

0

17

3

2

15

5

0

3

10

5

5

4

0

15

5

5

10

8

2



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