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FINANCIAL DECISION MAKING | My Assignment Tutor
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…
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Web Application Security | My Assignment Tutor
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.…
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Mapping Social Landscape of London | My Assignment Tutor
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…
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Thinking London Spatially Further | My Assignment Tutor
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…
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critical review of spatial data analysis | My Assignment Tutor
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…
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Clustering Analysis and Network Analysis | My Assignment Tutor
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…
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Spatial Regression and Surface Analysis | My Assignment Tutor
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…
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Basic Practice to edit Spatial Features | My Assignment Tutor
1Session 6 – Preparation / Integration of Spatial Data(Spatial Operation and Transformation with QGIS)Objectives: To gain familiarity in a range of spatial operations through QGIS functionalities.Task 1: Basic Practice to edit Spatial FeaturesPractice following editing functionalities:Layer -> Toggling Editing-> Add Feature, Move Feature, Delete Selected-> Rotate Feature, Simplify Feature-> Reshape Feature, Split Feature-> Add Ring,…
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Stochastic Processes and Optimisation | My Assignment Tutor
MATPMD4 – Stochastic Processes and OptimisationProject 2: OptimisationDeadline of 23:59 Friday 16 April 2021. Submit your project in via Canvas. The projectcan be typed using any word processing software (e.g. Microsoft Word or Latex); figurescan be drawn using any software you wish.PART 1: MAXIMISING A FUNCTION (15%)Objective: Find the maximum value of f(x; y; z),…
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Customer Service Management | My Assignment Tutor
ASSIGNMENT INSTRUCTIONS AssessmentPractical (Group Presentation)Assessment code:011Academic Year:2020-2021Trimester:2Module Title:Customer Service Management for Tourism andHospitalityModule Code:MOD006060Level:Level 5Module Leader:Monica OrWeighting:40%Time Limit:20 minutes plus Q&AAssessed LearningOutcomes2Assessment date:Week 12 – Saturday 17th April to Friday 23rd April ADDITIONAL INFORMATION• This is a group assignment.• No extensions are available for this assessment.• Mitigation: The deadline for submission of mitigation in relation…