Assessment Details and Submission Guidelines
Semester
1
Unit Code
ICT 303
Unit Title
Bi Data
Assessment Type
Group Assessment
Assessment Title
Big Data Application Group Presentation
Purpose of the
assessment (with ULO Mapping)
ULO 2. Analyse and visualize data using available big data tools.
ULO 3. Design appropriate repository structure for storing big data.
ULO 4. Design big data solutions using Map-reduce techniques.
Weight
30%
Total Marks
30
Format
PPT
Due Date
Week 8
Submission Guidelines
· All work must be submitted on Moodle by the due date along with a completed Assignment Cover Page.
· Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using APA referencing style.
Extension
· Extensions to assignment deadlines (not including exams) based on mitigating circumstances shall be at the discretion of the Lecturer for a unit. Mitigating circumstances are circumstances outside of the student's control that have had an adverse effect on the student's work or ability to work. Extensions of up to three days are permissible.
· Students must email or otherwise write to the Lecturer prior to the due date for an assessment item. The student must produce a copy of their work to date on the assessment, demonstrating that they have commenced work.
Academic Misconduct
· Academic misconduct involves cheating, collusion, plagiarism or any other conduct that deliberately or inadvertently claims ownership of an idea or concept without acknowledging the source of the information. This includes any form of activity that negates the academic integrity of the student or another student and/or their work. Please refer 2.6 Academic misconduct – plagiarism, collusion and cheating for further details.
Assignment Description (Total marks 30)
Duration: Week 8
In this assessment Students are required to form a group of 5 member and prepare a report on big data analysis, design application using big data tools & techniques and finally present their report in a MS PowerPoint format.
RATIONALE
This assessment task will assess the following learning outcome/s:
ULO 2. Analyse and visualize data using available big data tools.
ULO 3. Design appropriate repository structure for storing big data.
ULO 4. Design big data solutions using Map-reduce techniques.
GOALS
1. Study a single big data li
ary or tool, in-depth.
2. Practice summarizing a potential complex topic into usable information, distilling it down to the important points.
3. Build a guide that helps yourself and your group members in determining which modern big data li
aries and tools are available for their project goals.
4. Practice information investigation with a group members.
You will need to submit ppt presentation on the link provided on Moodle.
POSSIBLE APPLICATIONS ( Indicative Only):
1.Health status prediction
2.Anomaly detection in cloud servers
3.Malicious user detection in Big Data collection
4.Big data for cyber security
5.Tourist behavior analysis
6.Credit Scoring
Marking Guide:
Criteria
Description
Marks
Introduction / Motivation
Brief Introduction about project.
5
Background
Discuss about present scenario and challenges involved.
5
Data
Size of data and its type
5
Methods
Which big data tool you are using
5
Evaluation
Results obtained
5
Conclusion
Summary of your project along with references
5
Sample case study of Big Data Application Group Assignment
1. Log in to Microsoft Azure: Cloud Computing Serviceshttps:
azure.microsoft.com with your CIHE student email id.
2. Search for Spark Azure tool in Microsoft Online Course and understand HOW TO PERFORM DATA SCIENCE with Azure Data
icks.
3. Prepare PPT and submit presentation.