Assessment Details and Submission Guidelines | |
Trimester | T3 2023 |
Unit Code | MN405 |
Unit Title | Data and Information Management |
Assessment Author |
Dr. Aruni Niroshika |
Assessment Type | Assignment 1 (Individual) |
Assessment Title | Data Modelling and Data Managing |
Purpose of the assessment (with ULO Mapping) |
The purpose of this assignment is to gain understanding of data requirements of a network. On completion of this assignment students will be able to: a. Understand the fundamental principles of the networking and data requirements of a network. |
Weight | 10% of total assessment for the unit |
Total Marks | 15 marks |
Word limit | No specific word limit |
Due Date | WEEK 3 – 07th April 2022 before 11:55 PM |
Description of this assignment: |
This assignment has of 2 questions to answer with proper references to the sources. |
Submission Guidelines |
Submit following on or before the due date oSubmit MS Word document save as “MN405 Assigment1_your_name.doc” Theassignment must be in MS Word format, 1.5 spacing, 11-pt Calibri(Body) font and 2.5 cm margins on all four sides of your page with appropriate section headings. Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using IEEE referencing style. |
Extension | If an extension of time to submit work is required, a Special Consideration Application must besubmitted directly to the School’s Administration Officer, in Melbourne on Level 6 or in Sydney on Level 7. You must submit this application three working days prior to the due date of the assignment. Further information is available at: http://www.mit.edu.au/about-mit/institute-publications/policies procedures and-guidelines/specialconsiderationdeferment |
Academic Misconduct |
Academic Misconduct is a serious offence. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course or rescinding the degree. Students should make themselves familiar with the full policy and procedure available at: http://www.mit.edu.au/about-mit/institute-publications/policies procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy Procedure. For further information, please refer to the Academic Integrity Section in your Unit Description. |
Preparedby:Dr.Aruni Niroshika Moderated by: Dr.DeepaniGuruge March 2023
MN405 Data and InformationManagement Page |2
Prepared by: Dr. Aruni Niroshika Moderated by: DeepaniGuruge March, 2023
Assignment Description
Understand the networking and data requirements of networks
Big Data Analytics for Network Traffic Monitoring and Analysis (NTMA) is becoming vital
topics for those who learn data and information technologies to understand the
fundamental principles of the networking and data requirements of a network.
The paper titled “A Survey on Big Data for Network Traffic Monitoring and Analysis” (see
complete information listed below); which has been uploaded on the Assignment folder,
provides outcome of the extensive survey conducted on the papers bridging Big Data
Analytics and Network Traffic Monitoring and Analysis (NTMA).
Read the paper and answer the following Questions. You also can search more about
these topics online.
NB: it is important to reference the sources using IEEE citation style.
Write at least 200 words with proper references.
1. Briefly discuss the 2 terms listed below. You can search more about these topicsonline.
a) “Big Data Analytics” and [5 Marks]
b) “Network Traffic Monitoring and Analysis (NTMA)” [5 Marks]
2. Read section 5 of the paper and answer “How to incorporate Big Data Analytics into
Network Traffic Monitoring and Analysis (NTMA)?” [5 Marks]
Questions (15 Marks)
A. D’Alconzo, I. Drago, A. Morichetta, M. Mellia, and P. Casas, “A survey on big data
for network traffic monitoring and analysis,” IEEE Transactions on Network and
Service Management, vol. 16, no. 3, pp. 800–813, Sep. 2019
MN405 Data and InformationManagement Page |3
Prepared by: Dr. Aruni Niroshika Moderated by: DeepaniGuruge March, 2023
Marking Criteria:
Marks are allocated for each part as below.
Questions | Description of the section | Marks |
1 | Understanding of the 2 terms | 10 |
2 | Understanding requirements of different systems |
5 |
TOTAL marks for the assignment |
15 |
Marking Rubric for Assignment 1
Excellent 100% |
Very Good 80% |
Good 60% |
Satisfactor y 40% |
Unsatisfactor y 0%-20% |
|
Questions 1 | Demonstrat | Demonstrate | Demonstrated | Demonstrated | Did not |
(10 marks) | ed | d good | reasonable | some | demonstrate |
excellent | knowledge on |
knowledge on | knowledge on | any | |
knowledge | the topic. | the topic | the topic. | knowledge on | |
on the topic | the topic. | ||||
Question 2 – | Demonstrat | Demonstrate | Demonstrated | Demonstrated | Did not |
(5 marks) | ed | d an ability to |
reasonable | some ability | demonstrate |
excellent | think | ability to think. | to think | ability to think | |
ability to | critically. | critically but | critically. | ||
think | not complete. | ||||
critically. |