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School of Computer Science
Dr. Ying Zhou
COMP5349: Cloud Computing Sem. 1/2021
Assignment 1: Data Analysis with Spark RDD API
Individual Work: 20% 01.04.2021
1 Introduction
This assignment tests your ability to implement simple data analytic workload using Spark
RDD API. The data set you will work on is adapted from Trending Youtube Video Statistics
data from Kaggle. There are two workloads you should design and implement against
the given data set. You are required to designed and implement both workloads using
ONLY basic Spark RDD API. You should not use Spark SQL or other advanced features.
2 Input Data Set Description
The dataset contains several months’ records of daily top trending YouTube video in the
following ten countries: Canada,France, Germany, India,Japan, Mexico, Russia, South Korea, United Kingdom and United States of America. There are up to 200 trending videos
listed per day.
In the original data s

Assignment Information
You must submit your assignment online using the Assignment course tool.
You must submit your assignment as ONE word-processed document containing all of the
required question answers per group.
You must keep a copy of the final version of your assignment as submitted and be prepared to
provide it on request.
The University treats plagiarism, collusion, theft of other students’ work and other forms of
dishonesty in assessment seriously. For guidelines on honesty in assessment including avoiding
plagiarism, see: http://www.murdoch.edu.au/teach/plagiarism
ICT378/ICT600 S1 2021
Cyber Forensics and Information Technology/Incident Response
M57 Patents
Assume that you’re a Forensic Investigator given the following case
Founded by Pat McGoo, m57.biz is a new patent search company that researches patent information for
their clients. Specifically, the business of patent search is to generally verify t

Page 2 of 7
ScriptingLanguages:PortfolioTask2
Due Date: Tuesday 4 May at 17:00 AWST
Contents
Overview……………………………………………………………………………………………………………………………………………1
GENERAL REQUIREMENTS…………………………………………………………………………………………………………….1
IMPORTANT NOTES: …………………………………………………………………………………………………………………….2
Task 1 (5 marks)………………………………………………………………………………………………………………………………3
Requirements ……………………………………………………………………………………………………………………………..3
Task 2 (5 marks)…………………………………………….

NURS2006 Assignment 3: Evidence Summary (1500 words)
Purpose: The purpose of the evidence-based practice project is to have the student
demonstrate skills in applying research to practice. The PICOT and all tools are available on
NURS2006 FLO page.
Learning outcomes
LO1- Apply evidence-based practice (EBP) in the provision of patient care
LO2. Formulate a clinical question to yield the most relevant and best evidence
the healthcare organisation.
LO 3- List the steps of evidence-based practice and the skills associated with it
LO 4- Analyse the impact of clinical governance on efficiency and practice standards
LO 5- Critically appraise different study designs and exhibit an understanding of the
evidence they produce
LO 6- Develop strategies to disseminate the outcomes of evidence
LO 7- Reflect on the role of the Registered Nurse in maximising EBP across the
healthcare organisation.
Procedures:
Students will work in

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Programme
Pearson BTEC Level 7
Extended Diploma in Strategic Management and Leadership
Module
Developing Strategic Management and Leadership Skills (Unit 1)

Unit Name:	Developing Strategic Management and Leadership Skills
Unit Number:	01
Unit Credit:	10
Internal Verifier:	Kazeem Salami
Assessor:	Williams Kwayke
Issued Date:	07/01/2019
Submission Date:	21/03/2019
Resubmission Date:	21/05/2019

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General Guidelines
The work you submit must be in your own words. If you use a quote or an illustration
from somewhere you must give the source. Include a list of refe

CSCI433/CSCI933: Machine Learning – Algorithms and
Applications
Assignment Problem Set #2
Lecturer: Prof. Philip O. Ogunbona([email protected])
School of Computing and Information Technology
University of Wollongong
Due date: Saturday May 1, 6:00 p.m.
Introduction
In this assignment the tasks are set to help you hone your practical skills in building and testing
machine learning models, and develop theoretical insights for understanding algorithms. You will
design and compare the performance of four regression predictors using the dataset provided. Furthermore, you will study and gain insight into the theoretical relationship between the algorithms so
as to understand the basis of their performance.
The assignment starts by requiring you to complete a reading and practice exercise of three
chapters of the book by G´eron (2019, chp. 1, 2, & 4). A copy of the book is on Moodle for your
personal educational use in th