代做Database Development and Design (DTS207TC) Assessment 001: Individual Coursework代写Python语言
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Assessment 001: Individual Coursework
Overview & Outcomes
This course work will be assessed for the following learning outcomes:
A. Identify and apply the principles underpinning transaction management within DBMS.
B. Demonstrate an understanding of advanced SQL topics.
E. State the main concepts in data warehousing and data mining.
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
Matrix multiplication is a fundamental operation in linear algebra where two matrices are multiplied to produce a new matrix. Specifically, if we have two matrices A and B, the product of these matrices, denoted as AB, is calculated by taking the dot product of the rows of A with the columns of B. For example, for two matrices of dimension 2x2, their matrix multiplication formula is
To test your proficiency in SQL under an open-book setting, this assignment requires you to implement matrix multiplication using SQL. It is divided into the following steps:
1) The Python function in the attachment is capable of generating an N-dimensional square
matrix composed of random numbers in the format of (row_id, col_id, value). First, use a Python program to invoke this function and generate such a matrix, then import it into a table M in PostgreSQL. Additionally, discuss the impact of database transaction mechanisms on the performance of record insertion. Record the program running time (ideally, <10s)
when N=500 and take a screenshot. (20 marks)
2) Perform. a “pivot” operation on the table M from 1) (write the PL/pgSQL manually without using crosstab) to generate a data table A. You can design your own schema for table A, but ensure that each row of the matrix is placed in a separate record. Note that N cannot be predetermined in the program. Provide a screenshot of the computation results when N=3 and perform. a correctness check. Provide another screenshot of the running time
(ideally, <1s) when N=500. (20 marks)
3) Using PL/pgSQL, perform. a matrix transposition on table A from 2) and store the results in another table with the same schema as A. Provide a screenshot of the computation results when N=3 and perform. a correctness check. Provide another screenshot of the running
time (ideally, <1s) when N=500. (20 marks)
4) Using PL/pgSQL, calculate the matrix multiplication of the matrix stored in table A from 2) with itself, and store the results in another table with the same schema as A. Provide a screenshot of the computation results when N=3 and perform. a correctness check. Provide another screenshot of the running time (ideally, <1 min) when N=500. (20 marks)
5) For the above tasks 1-4, check the program's running time when N=1700. Provide
corresponding screenshots. The ideal running times should not exceed: 2 minutes for task 1, 10 seconds for task 2, 10 seconds for task 3, and 30 minutes for task 4. (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 |
11 |
6 |
3 |
2 |
3 |
15 |
2 |
3 |
5 |
13 |
2 |
4 |
8 |
9 |
3 |
5 |
0 |
0 |
20 |