School of Business and Law University of East London Assessment Guide Summary Individual assessmentWeighting: 50%Maximum word count: 2000Submission deadline: 17:00, 27th April 2021 Submission procedure: The individual reports should be submitted electronically through the turnitin system by the deadline date. Return of feedback and marked work: Feedbacks of the reports in seminars and the … Read more
Opportunity Findings by Magic SolutionsWeek 1 Establishing groupGroup members: Brandon Jagroop, Nitan Sharma, Masiha Nouri, Anna Lieskova, AileenCauinian, Cheska JacolbiaGroup name: Magic Solutions1. Action: What’s not workinga. Identify what is not working (Have to use mind map to show our findings)Mindmap Makerb. What are up to four things that are not working that your idea … Read more
Assignment Brief Module Title:FINANCIAL DECISION MAKINGModule Code:BM414Assignment No/Title: ASSIGNMENTAssessment Weighting:100%Submission Date:25th May 2021 before 2pmFeedback Target Date: Module Co-ordinator/ Tutor: Course AreaFDSubmission Instructions:This assignment is to be submitted electronically using VLE This assignment must be submitted electronically by 2pm on the submission date To submit electronically you must upload your work to the e-submission … Read more
Faculty of Design, Media & Management Assignment Brief Module Title: FINANCIAL DECISION MAKING Module Code: BM414 Assignment No/Title: ASSIGNMENT Assessment 100% Weighting: Submission Date: 25th May 2021 before 2pm Feedback 3 weeks Target Date: Module Co-ordinator/ Mukta Rani Course Area FD Tutor: Submission Instructions: This assignment is to be submitted electronically using VLE This assignment must be submitted electronically by 2pm on the submission date To submit electronically you must upload your work to … Read more
Coursework Assignment Brief Academic year and term:2020/21 – Semester-1, Year 2Module title:Web Application SecurityModule code:QAC020N256SModule Convener:Masum BillahLearning outcomesassessed within thispiece of work as agreedat the programme levelmeetingOn successful completion of this module students will be ableto1. Develop dynamic web pages for practical businesspurposes using server-side technologies.2. Critically evaluate and compare web server-sidetechnologies and their deployment.3. … Read more
1Session 7 – Exploring and Mapping Social Landscape of London(Basic Geostatistics and Thematic Mapping with QGIS and GeoDa)Objectives: To develop skills of Geostatistics and Thematic Mapping through QGIS andGeoDa functionalities.Task 1: Exploring Health Data across London BoroughsProblem solving: Initially reveal spatial pattern of public health in LondonFunctionality: Basic Geostatistics in GeoDaData set: Health variables by … Read more
1Session 5 – Thinking London Spatially Further (Spatial Query with SpatiaLite Advance)Objectives: To develop skills of spatial query with SQL in SpatiaLite. Explore a range ofspatial variables of London.Connect the existing SQLite Database “test.sqlite”Task 1: Spatial Extent of LondonUnion multiple conditionsUsing spatial functions of “Area”, “Mbr” along with “Max”, “Min”Find out London boroughs with the … Read more
5AssessmentThe assessment for this Module consists of two items: a portfolio of completedpractical exercise as a written report, a critical review of spatial data analysis on anapplication area (approx. 2,500 words)Coursework should be submitted on-line using Moodle. Your work should firstbe submitted to Turnitin (see Annex 2) to guard against plagiarism and you canre-submit corrected … Read more
1Session 8 – Hotspot / Classification and Travel Cost / Accessibility(Spatial Clustering Analysis and Network Analysiswith GeoDa and QGIS)Objectives: To analysis spatial pattern of point events, to compute travel cost and measurespatial accessibility through QGIS functionalities.Task 1: Hotspots of GP Surgeries in London Borough Haringey (Spatial Clustering Analysis)Problem solving: Identify clusters of health facilities to … Read more
1Session 9 – Near Things More Related Than Distance Things in London(SpatialDependence, Spatial Regression and Surface Analysiswith GeoDa and QGIS)Objectives: To analyse spatial dependence / correlation for geographic profiling andreasoning. To analyse spatial regression for analytic prediction modelling. To interpolate pointevents and analyse raster data with surface techniques.Task 1: Spatial Dependence / Correlation of Crimes … Read more
