Data and Information Management

53 views 11:35 am 0 Comments March 29, 2023
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.