COMPREHENSIVE PSYCHIATRIC EVALUATION AND PATIENT CASE PRESENTATION, VIDEO CASE PRESENTATION Comprehensive psychiatric evaluations are a way to reflect on your practicum experiences and connect the experiences to the learning you gain from your weekly Learning Resources. Comprehensive notes, such as the ones required in this practicum course, are often used in clinical settings to document […]

Week 5: Assignment 2, Part 1: Comprehensive Psychiatric Evaluation and Patient Case Presentation, Video Case Presentation Comprehensive psychiatric evaluations are a way to reflect on your practicum experiences and connect the experiences to the learning you gain from your weekly Learning Resources. Comprehensive notes, such as the ones required in this practicum course, are often […]

Develop a 10-minute video presentation for nursing colleagues at your practicum site highlighting the fundamental principles of care coordination. Create a detailed narrative script for your presentation. Create a presentation focusing on the fundamental principles of care coordination. The intended audience is nursing colleagues at your practicum site (though you do not actually need to […]

Scenario: Kelly Mattison, a Computer Science college graduate, and Li Huang, an Interior Design college graduate, began a small business together eleven years ago. Their company, Green Life Furniture, found profitability quickly with its simplistic yet elegant office furniture designs featuring sustainably sourced materials. Specialized software developed by Kelly allows customers to select customized features […]

BUSM106 – MSc Dissertation for Marketing- 2024/25 Module Description The dissertation forms an important part of the assessment of the MSc Management Programme, carrying a weighting of four modules (60 credits), i.e., one third of the entire Programme. The dissertation requires a demonstration of ability to carry out an original investigation into an area of […]

BUSM106 – MSc Dissertation for Marketing- 2024/25 Module Description The dissertation forms an important part of the assessment of the MSc Management Programme, carrying a weighting of four modules (60 credits), i.e., one third of the entire Programme. The dissertation requires a demonstration of ability to carry out an original investigation into an area of […]

Aim To explore creative storytelling through a hybrid media form that integrates print design and augmented reality. This assignment   challenges students to combine visual communication, narrative thinking, and interactive media tools. Learning Outcomes By the end of this assignment, students will be able to: •    Apply visual storytelling techniques using both physical and digital media •    Design for Augmented Reality (AR) using appropriate software •    Demonstrate conceptual development and critical thinking through theme interpretation •    Reflect on the affordances and limitations ofAR as a communicative medium Task Create a poster that comes to life through Augmented Reality. The printed side should visually represent your chosen theme, while the AR layer should enhance the message through animation, interaction, or audiovisual augmentation. Theme Please choose one of the following: • Reimagining the Future – Depict a speculative future of a place, […]

COURSE DESCRIPTION College in the United States is expensive, really expensive. A 120 credit undergraduate degree costs at least $200,000 at many private elite universities (like NYU) – plus all sorts of miscellaneous fees, lodging and food  charges, books and more. Why does it cost so much? Is it a good deal? Why do so many high school students apply to study at such expensive institutions when there are cheaper alternatives available? Who is able to attend and who is excluded? Why does college tuition keep rising so fast? Shouldn’t college be free? The purpose of this course is to provide answers to these kinds of questions. It will introduce students to a range of economic concepts and empirical evidence that speaks to: the value of higher education for individuals and for societies; federal, state, and institutional financial aid policies; university budgets and spending priorities. We will consider individual student, institutional and societal perspectives. Upon successful completion of the […]

COURSEWORK 1 (30%): Comparing  the  mechanical  behaviour  of  the  reconstituted  and natural (intact) soils of a Quarternary clay (Bothkennar clay) This is an in-depth study of reconstituted and natural soil behaviour of the Bothkennar clay,  from  the  UK,  which  has  been  extensively  studied  in  the  90’s.   See  excel spreadsheet and reference papers from Moodle, and make additional references. Each group is required to make an oral presentation of data analyses (detail provided in section B). The final Powerpoint Slides should be uploaded to Moodle by 12 Nov Tuesday by  12:00 noon. Group presentation plus Q&A will be carried out in my office GM08 the next day on 13 Nov Wednesday. (each student needs to do a part of presentation; timeslot will be allocated later). This is 10% module mark. The final written group report should strictly follow the structure below (as shown in  section A). The word limit is 2,500 words (please state word count at the end of  conclusion). Reference list, figures, tables, and appendices should be attached at the  end of the report; they excluded from word count. The submission deadline of the  final report […]

Question I: We assume the classical case Poisson/Gamma. We have: St |Θ = θ ~ Poisson(θ) Θ ~ Gamma(α , λ) Calculate the marginal distribution St (all the intermediary steps are required) using the Moment Gener- ating Function (MGF). Question II: The distribution of Sn+1|Si1,…, Sin with probability density function f(x|x1,…, xn ) is called the predictive distribution of the random variable Sn+1 . Show the following result (all the intermediary steps are required): Bi,n+1 = E[µ (Θ)|Si1,…, Sin] = E[Si,n+1 |Si1,…, Sin]. Question III: We assume the following mixing distributions:  St |Θ  ~  Poisson(Θ),  with Θ  ~  Gamma(α , T).   The distribution functions are then:   (a) Find the posterior distribution of the heterogeneity parameter for the year T + 1, knowing S1   = s1,…, ST  = sT , i.e. u(θ|S1,…, ST ) (all the intermediary steps are required). (b) Find the predictive distribution of ST+1 knowing S1 = s1,…, ST  = sT , i.e. Pr(ST+1|S1,…, ST ) (all the intermediary steps are required). (c) Find the Bayesian (predictive) premium using the result in (a) (d) Find the Bayesian (predictive) premium using the result in (b) Question IV: You are given: (i) An individual insured has annual claim frequencies that follow a Poisson distribution with mean Λ . (ii) An actuary’s prior distribution for the parameter Λ has probability density function:   […]