Appropriate Analysis of the Data - Logistics Energy Systems - IT Assessment Answer

 IT Assessment Task

Part A: In this part you will review and critically analyze recent developments in IT. We suggest focusing on areas related to data management and storage, cloud computing, data analytics, machine learning, optimization and operations research, and must be relevant to applications in at least one of: transport and logistics Energy systems and Smart Grids data visualization and immersive visualisation environments Information security Scientific and artistic computing (such as complex systems simulation, and computer art)

Several sample articles are provided for you in the Assignment 1 resources zip file. These are ONLY a starting point and you need to find additional material on your own. You will be assessed on the breadth of your literature search.

Part B: Select a dataset for use in Assignments 2 and 3 based on outline of the assignments in the grey box below, and: 1. Critically review approaches and techniques used to manage and analyse the types of data provided in the data sets for use in the assignments in this unit. 2. Select dataset for use in Assignments 2 and 3 and identify a relevant business problemstatement.

a. The problem statement must be developed by you and must be a substantial issue that cannot be easily resolved by a quick look over or simple statistical analysis of the data. You are expected to use your initiative in this matter. Feel free to discuss with the lecturer and tutors.

b. Note that you are encouraged to find a dataset yourself that is suitable for use in these assignments but it must be checked by your tutor or the lecturer.

c. Brief outlines of Assignment 2 and 3 are below.

3. Perform a requirement analysis which will guide process of developing the data management solution for assignment 2 and R-based data analysis solution components to be implemented in assignment 3

4. Develop a project plan to address this problem using information and knowledge extracted through appropriate analysis of the data, and,

5. Develop a project plan and requirement analysis which will guide process of completing the assignments

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