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 Purposeofthe...

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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 Purposeofthe 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 library 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 libraries 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 Databricks. 3. Prepare PPT and submit presentation.
Answered 5 days AfterApr 30, 2022

Answer To: Assessment Details and Submission Guidelines Semester 1 Unit Code ICT 303 Unit Title Bi Data...

Sathishkumar answered on May 05 2022
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