the title of the report is Security and Privacy of User Data with Social Media Integration. I also have the project proposal in case needed.
Module Title: Dissertation (Major Computing Project) Module Code: QAC040X351Y Module Convener: Nicolas Ioannides Brief introduction to module During the final year of the degree students are required to conduct a substantial piece of independent research and development work using appropriate software engineering process models. The students will be required to work on a significant computing related problem and develop a solution. This module is also intended to provide students with an opportunity to develop their communication, time management, writing and analytical skills. Students are expected to work independently with guidance from their supervisor, and to develop a level of expertise in computing area (s) of their interest. This module will contribute directly to the following programme aims: · To provide a systematic study of the theory, principles and application of a wide range of computing technologies and systems to include systems analysis and design, project management, programming, networking and network security, cloud computing and big data management and analysis, web and mobile technologies, the Internet of Things, and Cyber Security. · To equip graduates with analytical, computational thinking and critical thinking skills, together with the ability to apply theoretical understanding to solve practical real word problems in a creative, innovative and economically viable manner. · To develop a full understanding of the professional and ethical standards relating to computing technologies, together with an understanding of the legal and social implications of technology use and development. · To facilitate students obtaining professional certification with major technology and software vendors e.g. AWS and Microsoft. · To equip students with subject-based knowledge and skills to allow them to enter into graduate employment in the fields of computing and information technology · To develop transferable learning skills to support on-going educational and professional development Module learning outcomes: Students who successfully complete this module will be able to: 1. Demonstrate an understanding of moral, ethical, legal, and professional issues related to IT industry. 2. Plan and develop a suitable research dissertation proposal. 3. Provide evidence of focus and understanding of the requirements of research. 4. Critically appraise project management and software engineering practices to make an informed choice of their use in the final project. 5. Plan and write a dissertation that synthesizes and evaluates written research material. 6. Display evidence of independent research skills. 7. Read widely, and critically reflect on a number of pieces of written research in an appropriate and thorough manner. 8. Engage in a sustained piece of individual computing project research and development on a subject of own choice. 9. Acquire transferable skills in: · undertaking supervised work, but with a high degree of independence · applying research methods · written and, where appropriate, verbal communication Title of programme: BSc Computing Technologies Title of module and module code number: Dissertation (Major Computing Project) Module tutor: Nicolas Ioannides Level of module: 6 (semester 1 & 2) Credit rating: 40 Compulsory or optional: Compulsory Contact hours: Lectures 10 hrs Seminars 20 hrs Tutorials 10 hrs Total 40 hrs Independent Study 360 hrs (Including Assessments) Pre-requisites/co-requisites: None Excluded combinations or modules: None Mode of attendance (i.e. daytime, weekend, evening, mixed, off-site, distributed/distance etc.): Daytime, weekend, evening or mixed Syllabus Indicative content includes the following: · Introduction to the Module (objectives, content overview, assessment strategy, transferable skills, personal and enabling skills) · Types of major project / dissertation, and project selection · Expectations and responsibilities · Time management · Planning, conducting and evaluating literature reviews · Data collection techniques: case studies, user surveys, observational studies, simulations. · Presentation techniques. · Writing up · Research Ethics · Project/dissertation support via supervisors TEACHING PROGRAMME Note: the list below is indicative only and is subject to change. Assessment briefing will be given in week 1 Supplementary resources will also be posted on Moodle. Teaching will only take place in semester 1 of Year 3. However, students will continue to get support from their supervisors during semester 2 in the form of one to one support. Week Autumn/Spring/Summer Term Reading Lecture Seminars. Tutorials 1 · Introduction to the Module (objectives, content overview, assessment strategy, transferable skills, personal and enabling skills) · Share possible topics for final project Induction Lecture Assignment 1 briefing Hand-outs 2 · Types of major project / dissertation, and project selection Seminar Tutorial to assist students to select a project topic Hand-outs and Text book 3 · Expectations and responsibilities · Time management Seminar and Tutorial Hand-outs and Text book 4 · Planning, conducting and evaluating literature reviews · Seminar & Tutorial Hand-outs and Text book 5 · Data collection techniques: case studies, user surveys, observational studies, simulations. Seminar &Tutorial Formative feedback on student proposals Hand-outs and Text book 6 · Presentation techniques. Seminar & Tutorial Hand-outs and Text book 7 · Writing up Seminar & Tutorial Submit project proposal Hand-outs and Text book 8 · Research Ethics Seminar & Tutorial Hand-outs and Text book 9 · Summative feedback on proposals Summative feedback on proposal Hand-outs and Text book 10 Differentiate between an excellent and mediocre computing project Seminar and Tutorial Teaching and Learning Methods During semester 1 learning and teaching will take the form of a series of lectures, seminars and tutorials. Lectures will introduce general concepts of dissertation project selection, research skills and proposal production, time management, and writing up. Seminars will enrich student learning through discussion. Part way through semester 1 students will be allocated a personal supervisor. They will offer one-to- one support during the second semester to support students in the execution and write up of their project. Assessment Coursework There will be three assignments of 15%, 85% and 0% weighting in this module which together will cover all nine learning outcomes of this module. 1) Project Proposal (15%) – individual (1500 words) Students will submit a project proposal in week 7 of semester 1 in Year 3. This proposal will assess module learning outcomes 1, 2 and 3. This proposal should follow the following template. Research Proposal template · Front Page. This will carry the project title, student name, student registration number and supervisor. · Project Objectives. This will describe the problem that the student intends to tackle. It will also include an explanation of the scope and objectives of the project, and a description of what end-users should gain from the work. · Proposed Approach. This will explain how the student intends to tackle the project, describing any special software or hardware that will be used. Additionally, this will include a discussion on what the student will need