Mobile Devices and Self-Service e-Commerce

Imagine that you have been hired by the startup e-Commerce company Sports R US to provide a convenient self-service solution for customers accessing sports products. The Web application would need to be available on mobile devices (e.g., smartphones, tablets, laptops, notebooks). The application also needs to work on multiple Web browsers (i.e.., Chrome, Internet Explorer, Firefox, Safari and others to support self-service tasks. Sports- R-US has asked you to provide a Human-Computer Interaction (HCI) guide for design and implementation of this service.

Note: You may create and / or make all necessary assumptions needed for the completion of this assignment.

This assignment must address the following topics:

• Information Gathering
• Design Strategy
• Prototyping
• Implementation

Write a six to eight (6-8) page paper in which you:

1. Describe the following:
2. Purpose and goals of a mobile self-service.
3. Target segment (audience).
4. Audience needs and wants.
5. Resources necessary to achieve the desired outcome.
6. Design of the Website for mobile devices
7. Interfaces applicable to mobile devices.
8. Design each of the following using Microsoft Visio or any open source wire framing or mockup tool. Note: The graphically depicted solution is not included in the required page length.
9. The Sports R US home page for a mobile device.
10. The self-service Web page to review products and checkout using mobile devices.
11. Recommend one (1) prototype that could be created.
    4. Determine the type of evaluation method to use in a Web design for the best user experience.
    5. Provide key details of how the mobile self-service will be implemented on various mobile devices.
    6. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
    7. Format your assignment according to the following formatting requirements:
12. Typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
13. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page is not included in the required page length.
14. Include a reference page. Citations and references must follow APA format. The reference page is not included in the required page length.

The specific course learning outcomes associated with this assignment are:

• Describe the differences in developing user interfaces for different application environments.
• Compare and contrast the different types of interactive environments.
• Use technology and information resources to research issues in human-computer interaction.
• Write clearly and concisely about human-computer interaction topics using proper writing mechanics and technical style conventions.

Rubric:

Lesson 1 Discussion Forum: Read Instructions

Team Leadership/Management Style

Part 1: According to the Sarin and O’Connor (2009) article, certain style and goal structures of team leaders have a strong influence on internal team dynamics.  Based on your research within the article and textbook, as well as your own experience, what team leader management style would be most effective in leading a team in which you were a member?

Part 2: DeRue, Barnes, and Morgeson (2010) found that team leadership style effectiveness depended on the level of charisma exhibited by the leader.  Drawing from the article and the textbook, have you ever worked for a charismatic leader?  What style (coaching or directing) did that leader administer?  Was he or she effective in leading you as part of the team?

Instructions

Use research from at least 3 academically reviewed journal articles to support your responses. Do not use internet and other non-academic articles for these discussion questions.

Assignment Requirements 1. Your web design consultancy company has been invited to tender for the design of a web site for a newly formed business/organization. 2. As part of the tender process you are required to present a proposal to the management team of the company. 3. If your proposal is eventually accepted, you will be asked to develop a prototype of your design in WordPress in Assignment 2. 4. The client’s business category/model will be supplied to you via email in the first week of the semester. 5. Your design proposal MUST address the specific and unique needs of the business category/model you have been assigned. You are also required to ensure that both your Assignments 1 and 2 meet the criteria to be classed within, and is directly related to, the business category assigned to you. Failure to do so will result in your assignments being rejected and no marks will be allocated to them. 6. You have been asked to do some preliminary research into the needs of the company and then demonstrate your capabilities and what you and your company can offer. 7. Your company has been told from the outset that the website must incorporate a highend and responsive web design that provides a great user experience while creating an atmosphere of trust and professionalism. 8. You sent the management of the business a questionnaire and interviewed them for more information about the project and their requirements. 9. You analysed the information they provided and promised to send them a proposal in the next few days. 10. Prepare a professional web design and development proposal in the form of a PowerPoint presentation (25-30 slides) that will inform and impress the client. 11. Include speaker’s notes for each slide, as well as images, graphics, tables, animations, etc. where appropriate. 12. Do not include citations in your slides. Place all your sources of reference on your final slide

Current stock price S is $22. Time to maturity T is six months. Continuously compounded, risk-free interest rate r is 5 percent per annum. European options prices are given in the following table:Strike Price Call Price Put Price K1=$17.50 $5.00 $0.05 K2=$20.00 $3.00 $0.75 K3=$22.50 $1.75 $1.75 K4=$25.00 $0.75 $3.50(a) What is the aim of a long (or bottom) straddle strategy? Create a long straddle by buying a call and put with strike price K3=$22.50 [10 marks] (b) What is the aim of a short (or top) strangle strategy? Create a short strangle by writing a call with strike price K3=$22.50 and a put with strike price K2=$20. [10 marks] Question 2 [10 marks] (a) Why is the binomial model a useful technique for approximating options prices from the Black–Scholes model? [5 marks] (b) Describe some applications and uses of this model. [5 marks] Question 3 [20 marks]Consider the binomial model for an American call and put on a stock whose price is $60. The exercise price for both the put and the call is $45. The standard deviation of the stock returns is 30 percent per annum, and the risk-free rate is 5 percent per annum. The options expire in 90 days. The stock will pay a dividend equal to 3 percent of its value in 50 days. (a) Draw the three-period stock tree and the corresponding trees for the call and the put. [7.5 marks] (b) Compute the price of these options using the three-period trees. [7.5 marks] (c) Explain when, if ever, each option should be exercised. [5 marks]Question 4 [30 marks] Consider a stock with a price of $120 and a standard deviation of 20 percent. The stock will pay a dividend of $5 in 40 days and a second dividend of $5 and 130 days. The current risk-free rate is 5 percent per annum. An American call on this stock has an exercise price of $150 and expires in 100 days. Price the American call option using the Black-Scholes Model. Show all calculations. Question 5 [20 marks] ABC is currently trading at $78 per share. Your previous calculation of the historical volatility for ABC indicated an annual standard deviation of return of 27 percent, but examining the implied volatility of several ABC options reveals an increase in annual volatility to 32 percent. There are two traded options series that expire in 245 days as show in the following table: X = 75 X = 80 Call Put Call Put DELTA 0.6674 -0.3326 0.574 -0.426 GAMMA 0.0176 0.0176 0.019 0.019The options have $75 and $80 strike prices respectively. The current 245-day risk-free interest rate is 4.75 percent per annum, and you hold 2,000 shares of ABC. Construct a portfolio that is DELTA – and GAMMA- neutral using the call options written on ABC. Show all calculations.

In a family of 7 persons , there are three members earning rs 1800, rs 1400, rs 1000. the average income of family members is ?

PSY216 PSYCHOLOGY OF AGEING 1 201860 PSY216 SHORT ANSWER QUESTIONS 3 SHORT ANSWER QUESTIONS 3 No. Question 1. What is the difference between a cross-sectional study and a longitudinal study? (50 words) 2. Why are the results of cross-sectional studies comparing different age groups not always accurate? (50 words) 3. Why can we not assume that the results of any study apply to ALL participants IN THAT STUDY? (50 words) 4. Even if researchers reliably note that poor physical health is associated with poor cognitive function, why can we not conclude the former causes the latter? (50 words) 5. What is the Stroop effect? (50 words) Referencing Referencing is required. Use APA formatting. Word count Includes in-text citations, excludes reference list entries. MARKING RUBRIC FOR SHORT ANSWER QUESTIONS Criterion: General understanding and theoretical knowledge of the subject material. Ability to apply theories and concepts to Short Answer questions and multiple choice questions. Standards: High Distinction: The answer is correct and complete. The answer provides concise discussions, descriptions and applications of the theories and concepts that are not only correct but are also relevant. Provides competent APA citation and referencing. Distinction: The answer is mostly correct with a few minor errors or missing parts. The answer provides concise discussions, descriptions and applications of theories and concepts that are mostly correct with some irrelevant information. Provides APA citation and referencing with errors (< 3 error types). PSY216 PSYCHOLOGY OF AGEING 2 201860 PSY216 SHORT ANSWER QUESTIONS 3 Credit: The answer is essentially correct and mostly complete with a few errors or parts of the question not addressed. The answer contains mostly relevant information. Provides APA citation and referencing with errors (> 3 error types). Pass: The answer is essentially correct, but incomplete. The answer includes some relevant information but it mostly includes irrelevant information which does not address the question. Provides attempt at APA citation and referencing. Fail: Answer is essentially incorrect, is expressed sufficiently poorly that the intended meaning is not clear OR is mostly not relevant to the question asked. No attempt at APA citation or referencing.

Assessment 1: Microeconomics Report

Overview

• Due Monday 27^th August 3pm
• 40% of final grade
• Individual report
• 2000 words

Steps

Select one main article

• The article can be from an academic journal/ research institute/ newspaper/ web article
• Related to a microeconomic issue (topics 1-6 in the course)
• Published recently (after 2016)

Select supporting articles

• Read through some different sources to support your analysis. These articles will provide you with more evidence about the topic to support your arguments.

Identify the key issue in your main article

• Explain these key issues in your introduction

Outline the theory relevant to your main article

• These are concepts such as supply and demand, pricing, elasticity, markets which help to understand your main article
• You might refer to the recommended textbook, course notes, or other sources to understand these thoroughly
• Please stick to the concepts raised in the class: (aim for an excellent explanation of these central concepts)

Apply your theoretical knowledge to your main article

• Use diagrams and/ or primary data
• You might refer to additional sources to gain insights about specific parts of the issue
• Diagrams can be placed in the body of your text, not in an appendix
• your choice to generate diagrams: as long as these are clear and properly labelled and captioned anything is fine
• Discuss what the theory suggests and how it is applicable in a real-life scenario
  • You might find that the theory does not apply very well and then you can suggest reasons why
  • You might also find that the theory describes the issue quite well and can explain why this is the case

Draw conclusions

• What does your analysis reveal?
• Comment on the issue, propose or critique policy, raise new questions and overall say something about what the analysis contributes to the bigger picture
  • Check out `An inside look’ in the textbook for helpful examples

Format

• 12 point font Times New Roman/ Arial/Calibri
• single spaced
• 2000 words maximum
• references and optional executive summary/abstract do not count towards word count

Report Structure

1. Title Page
2. Introduction (summary of the key issues in the article)
3. Outline of theory (economic concepts/theories to be applied)
4. Analysis (application of theory to article, including well-labelled diagrams)
5. Conclusion and recommendations (do not just summary the article again)
6. References

Rubric

Rubric details

• Select a good title for your report (titles generate interest).
• Clearly identify yourself on the title page

1. Introduction: 5 pts

• Start your report with an introduction
• Mention the title of the article you are reviewing
• Cite the article properly
• Outline the key issues in the article
• Review and summarise the article without giving your opinion of it, just introduce it to the reader as clearly as possible
• Give readers an idea of why the issue is interesting
• Give an overview of how you will approach analyzing these issues

2. Outline of theory: 5 pts

• Outline the theory that you will apply to the article
• Stick to the theoretical concepts that are discussed in class
• The idea here is to describe the theoretical concept as clearly and concisely as possible
• Leave the evaluation of the article (application of the theory) for the application section

3. Application of theory to article: 15 pts

• Critically analyse the article from he perspective of the theory you discussed
• Use your understanding of the topic, use supporting references, data when it helps to support your arguments
• Give a thorough analysis but do not lose sight of the key issue you are analysing

4. Evidence of quality of research: 5 pts

• The report should demonstrate good research practice
  • The report does not appear rushed: it is logically arranged and free from grammatical and spelling errors
  • The arguments are well developed and clearly related to the main argument
  • Additional sources are used to effectively to support arguments
  • Keep a journal of your progress

5. Use of original diagrams and/or data: 5 pts

• Clearly label and caption your diagrams/tables
• Use diagrams/data to facilitate explanations (i.e. refer to any table/figure you include in the text)

6. Conclusion and recommendations: 5 pts

• Do not just summarise – discuss the implications of your analysis, your recommendations for policy, limitations of your work, future work that would be relevant to increasing our ability to better understand the issue
• This is the place to tell the reader what your work has accomplished

References

• Additional references are strongly recommended
• Main focus is on the article, additional sources may relate to other countries, other types of analysis ( older foundation analytical models or other competing methods), or supportive data
• Additional sources can be old or new, and do not have to be from peer reviewed academic sources
• 3-6 additional references ideally
• Chicago referencing style

Submission

• Due: Monday, August, 27th at 3:00 pm
• Submit to turnitin.com before the deadline
  • check blackboard for a link
  • please check your similarity score: multiple submissions are permitted (old submissions will be over written)
• Include a title page
• Double check your references are properly cited and can be found by your workshop leader

COS70004 User-Centred Design

UCD Assignment ILO Apply scholarly and evidence-based approaches to software requirements elicitation and specification. Analyse software context of use (i.e., users, tasks and system environment) using a variety of models to identify user requirements. Generic skills ■ analysis skills ■ communication skills Purpose: In this assessment piece will give you the opportunity to develop the ability to find and make use of evidence from scholarly sources (i.e., academic literature). This is an independent research project. Individual Assessment This assessment is worth 10% of the unit. It is graded out 10 marks. Submit via Blackboard as per instructions (use Turnitin to check for plagiarism). No resubmits are allowed for this task. Resources: Swinburne Library Human-Computer Interaction Reference Guide (in particular Databases/ACM Digital Library) Monash Universities Learning Support website for more assistance with academic writing. Swinburne Library guide on how to reference Deliverables Evidence of completion of Plagiarism Unit (e.g., screenshot) Report on application of UCD process or technique as specified below Marking Criteria Report must demonstrate: ■ an in-depth knowledge of the current semester’s Assignment Topic ■ the appropriate use of references to support an argument ■ evidence of reading one or more of the following: • text book (e.g., Hartson & Pyla) and/or other related books, • published journal articles, government publications, etc ■ in-text referencing and reference section according to Harvard style Additional Criteria Professional presentation and English expression Academic Integrity (see below for penalties related to violations of Academic Integrity) Word Limit 1,500 (min) to 2,500 (max) words Late Penalty 10% per day User-Centred Design UCD Assignment Assignment Topic: Personas Imagine you are part of a user interface development team for a company that manufactures medical devices. The team is considering using personas for their next project. However, no one in the team has used them before. Your task is to prepare a report for the development team on whether or not they should use personas in the project. Issues you should address in your report: ■ What are personas and why are they used? ■ What are the pros and cons of using personas? ■ Have any researchers used personas in this domain (i.e., medical devices) before? If so, what did they do and what did they find? ■ What are your recommendations to the team about using personas in the project (i.e., should they use personas in the project)? Due to the safety critical nature of medical devices (i.e., malfunction may result in death or serious injury), the team is most concerned with using techniques that will get the best outcomes for the project. To prepare for this report: ■ Do the Plagiarism Training Unit (see Blackboard/My Units) REQUIRED ■ Review how to cite and reference research articles (see Swin Library guide to Harvard style referencing) ■ Read text book section on the topic ■ Search for relevant research using key word search terms on Google Scholar (note: if PDF not available, then check Swin library catalogue) • Find at least 1 primary reference to help you define the assignment topic • Find at least 1 academic research paper on the assignment topic Page 2 of 4 Hint: A good place to start this report might be our text book Hartson & Plya (Section 7.5) User-Centred Design UCD Assignment Academic Integrity Use the following structure in your report… Page 3 of 4 Not Ready to Pass Pass Does not address the current semester’s topic Penalty: ■ -10 marks Report is on current semester’s topic. Does not complete plagiarism training (see Blackboard My Units) Penalty: ■ – 1 mark Shows evidence of completing plagiarism training (i.e., screenshot of MCQ test results see Blackboard My Units). Turnitin Originality Report indicates more than 20-30% similarity with: ■ other published work and/or ■ work submitted by other students Penalty: ■ Work similar to other sources will not be marked ■ -10 marks Work from other sources is appropriately acknowledged. Less than 20-30% similarity with other sources. Note: Similarities with other students will not be detected and reported by Turnitin until AFTER due date. Do not share references, resources or text with other students. Protect your work with adequate computer security. If you provide work to another student you will be penalised the same as a student who uses your work. User-Centred Design UCD Assignment Title page: Include: ■ Unit code and name ■ Assignment title ■ Student name ■ Tutor’s name ■ Word count Executive Summary Overview of report and key recommendations. Table of Contents Make sure you use heading styles and use your word processor to autogenerate your table of contents. 1 Introduction In this section include: ■ Background information including purpose of report, definition of any key terms or concepts. 2 Body (Note: Choose informative section headings) In this section include: ■ Evidence from your literature research ■ Logically organised sub-sections 3 Conclusion In this section: ■ summarise main ideas and key findings ■ do not include any new information References A list of material cited in the text of the assessment. Page 4 of 4 Hint: Write this last!

SIT792

MINOR THESIS

Predicting Sensitivity of Insurance Products

Supervisor                                                             SAISRI KAMMELA

      Dr Wei Luo                                                            217058012

      wei.luo@deakin.edu.au

Abstract:   

Simulating market values and market indices has become challenging task for variable annuity (VA) in related to computational costs, usually VA using Monte Carlo method to calculate sensitivity of the fair market values. Although such simulation deals with huge computational costs. In this paper we discuss about the machine learning models and data science concepts to address the road map for the problem (difficulty in finding market values and market indices of future time points) being arised in VA.

Introduction to Field of Research:

Machine learning:

Machine learning is a utilization of Artificial Intelligence (AI) that gives systems the capacity to naturally study and enhance as a matter of fact without being expressly customized. Machine learning centres around the advancement of PC programs that can get to information and utilize it learn for themselves.

The way towards learning starts with perceptions or information, for example, cases, coordinate involvement, or guideline, keeping in mind the end goal to search for designs in information and settle on better choices later on in light of the cases that we give.

Data Science:

Data Science is the comprehensive assistance under which all additional types of analysis pertinent. Data cleansing, manipulation, and selection of the type of analysis that involved to be finished are important pieces of the data science foundation. Without these foundational items being achieved, your data analysis will no way truly be precise.

Information researchers need to see how the hidden information is made, the business targets and objectives, the uses of the information and the expectations, and how to translate the information through information narrating and connecting with representations.

Key Related work:

6-machine learning models

1. decision tree based method :

The major learning approach is to recursively partition the preparation information into pails of homogeneous individuals through the most discriminative isolating criteria.

The best part of Tree method is that, it is extremely adaptable regarding the information sort of info and yield factors which can be clear cut, paired and numeric esteem. The level of choice hubs likewise demonstrate the level of impacts of various info factors. The impediment is every choice limit at each split point is a solid twofold choice. Like-wise the choice criteria just think of one as information traits at once yet not a blend of different info factors.

2. Linear regression method

The fundamental suspicion is that the yield variable (a numeric esteem) can be communicated as a direct mix (weighted whole) of an arrangement of information variable (which is additionally numeric esteem).

y = w1x1 + w2x2 + w3x3 ….

The entire target of the preparation stage is to take in the weights w1, w2 … by limiting the mistake work lost(y, w1x1 + w2x2 + …). Inclination plunge is the established strategy of taking care of this issue with the general thought of altering w1, w2 … along the course of the greatest slope of the depletion function.

3. Neural Network:

Neural Network can be considered as different layer of perceptron (each is a calculated relapse unit with numerous paired info and one parallel yield). By having numerous layers, this is identical to : z = logit(v1.y1 + v2y2 + …), while y1 = logit(w11x1 + w12x2 + …) .

This multi-layer demonstrate empowers Neural Network to learn non-direct connection between input x and yield z. The commonplace learning system is “in reverse mistake proliferation” where the blunder is spread from the yield layer back to the information layer to change the weight.

4. Bayesian Method:

It is essentially a reliance diagram where every hub speaks to a double factor and each edge (directional) speaks to the reliance relationship. In the event that NodeA and NodeB has an edge to NodeC. This implies the most likely of C is genuine relies upon various blends of the boolean estimation of An and B. NodeC can point to NodeD and now NodeD relies upon NodeA and NodeB too.

5. Nearest Neighbour method:

Nearest Neighbour require the meaning of a separation work which is utilized to discover the closest neighbour. For numeric information, the basic practice is to standardize them by less the mean and partitioned by the standard deviation. Euclidean separation is normally utilized when the information is autonomous, generally mahalanobis remove (which represent relationship between sets of information highlights) ought to be utilized. For paired properties, Jaccard separation can be utilized.

6. Support vector machine method:

Support Vector Machine takes numeric info and double yield. It depends on finding a direct plane with most extreme edge to isolate two class of yield. Clear cut info can be transformed into numeric contribution as previously and straight out yield can be displayed as various paired yield.

Key aims of your project

In this project machine learning models are applied to predict simulated values and able to acquire highly in-demand skills in machine learning and data science, and apply such skills to solve a very important problem to the insurance industry. By the end of the project we will be likely to project technical skills and achievements to employers in order to do research publication.

The research problem and key research questions you intend to investigation

In this venture, you will apply machine learning models to foresee the reenacted esteems. You will have the capacity to gain exceptionally sought after aptitudes in machine learning and data science, and apply such abilities to take care of a vital issue to the insurance industry.

Research Questions

1) How to simulate market values, market indices and market future times using machine learning and data science?

2) How could technical concepts from machine learning can reduce computational costs for variable annuity?

The research methodology you intend to employ

Quantitative:

Polls regularly appear a legitimate and simple choice as a method for gathering data from individuals. They are quite hard to outline and on account of the recurrence of their implementation in all settings in the advanced world, the reaction rate is almost continually going to be an issue (low) except if you have methods for influencing individuals to finish them and hand them on the spot (and this obviously restricts your example, to what extent the survey can be and the sorts of inquiries inquired). Their design is a work of art in itself in light of the fact that in ineffectively spread out poll’s respondents tend, for instance, to rehash their ticking of boxes in a similar example. In the event that given a decision of reaction on a scale 1-5, they will for the most part settle on the centre point, and regularly tend to pass up a major opportunity subsection to questions.

Algorithm: GBRT, randomforest, DNN

The project timeline with key milestone dates and deliverables

The final project should be submitted by 5 October 2018

Every Friday, work regarding research has been done and intimated to the Supervisor.

Research on Project Proposal – 30 July 2018

Three-minute presentation– 3 August 2018

Research on Literature Review– 3 September 2018

Research on Minor Thesis– 1 October 2018

Poster Presentation– 5 October 2018

References

dzone.com. (2018). An Introduction to 6 Machine Learning Models – DZone Database. [online] Available at: https://dzone.com/articles/introduction-6-machine [Accessed 29 Jul. 2018].

Macmillanihe.com. (2018). Choosing appropriate research methodologies. [online] Available at: https://www.macmillanihe.com/studentstudyskills/page/choosing-appropriate-research-methodologies/ [Accessed 29 Jul. 2018].

Expertsystem.com. (2018). What is Machine Learning? A definition – Expert System. [online] Available at: https://www.expertsystem.com/machine-learning-definition/ [Accessed 29 Jul. 2018].