Individual Evaluation Report | My Assignment Tutor

Assignment 2 Brief Academic year and term:2020/21 – Semester-2, Year 3Module title: Module code: Module Convener: Module Learning outcomesOn successful completion of this module students will be able to demonstrate:   A critical understanding of the knowledge base in Data Science and its inter-relationship with other modules in the programme such as Big Data and Analytics;  An ability to work with ideas developed in Data Science at a level of abstraction, arguing from competing perspectives, and identifying the possibility of new concepts within existing knowledge frameworks and relevant approaches;  An ability with and confidence in identifying and defining complex problems, and selecting and using investigative strategies and techniques to undertake a critical analysis of machine learning models, and evaluating the outcomes of this analysis.An ability to analyse new, novel and/or abstract data using an appropriate range of established techniques relevant to machine learning algorithms; as well as judging the reliability, validity and significance of evidence to support conclusions and/or recommendations relevant to the subject covered by this module.Assessed Learning outcomesIndividual Evaluation Report (1500 words)Type of assessment:3,4Weighting40%Submission deadlineThis is an individual work submitted as a word file (1500 words)Kind reminder: it is student’s full responsibility to ensure that all assignments are submitted on the correct link and on time (before 2pm). Failure to do so may result in CAPPED Resit and/or failure of the module.  Assignment 2 This is an individual assignment. You are required to write a critical report using the following title: “A Critical Evaluation of a Real-Time Data Analytics Adoption” In assignment 1 of this module, you have developed a ‘data analytics engine’ using machine learning and data analytics approaches. After reviewing the benefits of the ‘data analytics engine’, you are asked to implement your analytics engine for performing a real-time data analysis implementation. The aim of this assignment is to write a critical reflection report after developing a ‘real-time’ data analysis adoption strategy. This report is divided into the following tasks: Task-1: Critically evaluate the significance of the following aspects in your real-time data analytics adoption strategy: Data Analytics Adoption PlanningMarketplace dynamic and business motivationAutomated data acquisition and processingChallenges of real-time data analysis You are also required to provide examples of the above aspects in your critical evaluation. Task-2: Critically evaluate and compare the following data processing options for your enterprise wide data analytics strategy: In-memory Data ProcessingData Stream ProcessingComplex Event Processing Task-3: Interactive dashboards play a pivotal role in data analysis and especially for real-time data analysis. In this task, provide at least 6 examples for developing interactive dashboards to perform Business Intelligence (BI) in the user organisation for the given scenario. It is also required to provide justification for the example dashboards. Presentation, Report Layout and References:                                                          [10 marks] Referencing and Bibliography Although much of your report will contain an existing body of knowledge, you must write your assignment in your own words to demonstrate your understanding of the subject. You are required to follow the Harvard referencing system when citing others’ work. An accompanying list of references must also be provided as part of your report. Extensively referenced work reflects the level of research you conducted in the process of producing the document. It is also an acknowledgment of other people’s work. Correct referencing demonstrates your academic and professional skill. It also reflects your academic honesty and thus to some degree protects you from cases of plagiarism. Word count  Don’t exceed the word count  You need to state the word count at the end of their assignment. 10% over the stated word count is permitted without penalty.  If students go beyond this, then there is a penalty of 5 marks for every additional 10% beyond the word count with a maximum of a 15 mark penalty reduction.   There is no specific penalty for submitting a piece which is below the word count, but please note that shorter submissions are likely to attract poorer grades, particularly where they lack the necessary depth of analysis.  How do you calculate the word count?   The word count includes the Abstract or Executive Summary and all in-text citations. The word count does not include the Bibliography and Appendices.   Please note that Appendices should only include supplementary information, not information critical to your work.  Marking Criteria: TaskGuidance/CriteriaMarks                      Reflection ReportTask-1: This task is focused on providing a reflection of your understanding of the important considerations while planning a real-time data analytics adoption strategy. You are required to critically discuss the listed aspects and their significance in the planning phase. It is important to note that you are developing a data analytics adoption strategy for the real-time data      40Task-2: This task is focused on the operational aspect of a data analytics strategy. You should critically evaluate the listed data processing options as outlined in the task. Your evaluation must include advantages, disadvantages technologies involved and limitations of each option. Consider including a comparative table of the listed options for selecting one over the other        20Task-3: Interactive dashboards are an integral component of a data analytics adoption strategy and are particularly helpful for better understanding of the real-time data. In this task, you are required to provide recommendations for developing interactive dashboards for performing Business Intelligence (BI) in the end user organisation.      30Presentation and reference10  Total  100 TASKS COMPLETEDtickCover sheet completed Table of contents Headings and sub-headings Critical evaluation of the given 4 aspects, with examples, for real-time data analytics adoption strategy Critically evaluation and comparison of the 3 given data processing options for your enterprise wide data analytics strategy In-text citations correctly written Reference list on a separate page, completed and in the correct format  Assignment Preparation Guidelines  All components of the assignment (text, diagrams. code etc.) must be submitted in ….one-word file (hand-written text or hand drawn diagrams are not acceptable), any other accompanied materials such as simulation file, code, etc. should be attached in appendices. Standard and commonly used fonts such as Arial or Calibri should be used, font size must be within the range of 10 to 15 points including the headings, body text and any texts within diagrams, Spacing should not be less than 1.5 Pay attention to the Assessment criteria / Marking scheme, the work is to be concise and technical. Try to analyse, compare and evaluate rather than simply describe.  All figures, screenshots, graphs and tables must be numbered and labelled. The assignment should be logically structured, the core of the report may start by defining the problem / requirements, followed by the proposed solution including a detailed discussion, analysis and evaluation, leading to implementation and testing stage, finally a conclusion and/or personal reflection on learning. Screenshots without description / discussion does not constitute understanding and maybe assumed irrelevant. Please access your Turnitin Test Page via Dashboard or My modules to learn more about Turnitin and to make a test submission and to check your similarity score before uploading your final version  You will have opportunity to submit as many times to your module pages as you want up until the deadline. Make sure to make backup of your work to avoid distress for loss or damage of your original work, use multiple storage media (memory stick, cloud and personal computer). Please note file size limitation might apply. You work must be under 100MB.  Assignment support:    During the delivery of the module, you will have several opportunities to get formative feedback on your assessment during tutorials.  Although you will be guided throughout the module by your lecturer, you can get extra support for your assignment, just make an appointment with the ACE team for any language, research and study skills issues and/or talk, email the Computing ACE expert for any advice on how to approach your assignment. REMEMBER: they are not here to give you the answers! Students will have access to formative feedback on each task set in workshops, thereby helping them to refine their approach to the summative tasks that have been set.  However, please note that this feedback is limited to recommendations on improving your work. Lecturers will not confirm any grades or marks.  The feedback can be one-to-one or in-group sessions.  Finally, you will receive summative feedback within 20 working days of your final submission. Please note that the summative feedback and the grades remain provisional until approval from the exam board.  Page Break  Plagiarism and Collusion  Academic Integrity is a matter that is taken very seriously at the university and student should endeavour to enforce it to all their assignments. In other words, plagiarism, collusion (working and copying from another student) and ghost writing will not be tolerated and will result in sanctions eg: capped resit, suspension and/or withdrawal. Correct referencing demonstrates your academic and professional skill. It also reflects your academic honesty and thus to some degree protects you from cases of plagiarism. You must write your assignment in your own words to demonstrate your understanding of the subject.  Material from external sources must be properly referenced and cited within the text using the Harvard referencing system, You are required to follow the Roehampton Harvard referencing System. Please refer to Moodle for the latest version of the Roehampton Harvard referencing System or ask the library. An accompanying list of references (on a separate page and in alphabetical order) must also be provided as part of your work.  Plagiarism: occurs when you present somebody else’s work as your own, whether that work is an idea, graphs, figure, illustration or a pure text. Be it available in web, textbooks, reports or otherwise.  Wholesale use of text and diagrams from websites is considered as plagiarism when not acknowledged.  Plagiarism will be dealt with firmly and can lead to serious consequences and disciplinary procedures.  Collusion: occurs when copying another student’s report (Text, Figures, Illustration etc..) and submitting it as your own.  Submission and Late submission  Students must ensure that their work is satisfactory and fit for purpose, both academically and free from any plagiarism. Students must use an appropriate coversheet, which must include the subject, assignment title, student ID and date-time. Tutors, lecturers and module convenors do not have the authority to extend the submission deadlines nor the exam time/date. In case of any mitigating circumstances, students should fill in the relevant mitigating circumstances form(s) available at —— Student Services —– The marking of the assignment will be capped at 40 if the assignment is submitted within first seven (7) days after the deadline, any submission late than 7 days will be ignored. The Submission File should be appropriate to the topic/title of the assignment and contain the Student ID, (Student ID-Assignment title) All coursework related material must be attached as an appendix in the final coursework/assignment document, including any computer-generated document, software/ code, simulation file etc.