Lesson 1

Activity 1: HCI company timelines

In your team, compare and discuss the timelines you developed in the Task. Each member shares and describes their timeline. Then the group discusses:

What similar characteristics are noted in HCI among the company or product sites?

How has the HCI changed over time? Why?

What additional changes do you expect to see in the future as technology advances?

How does what you have learned from these companies about HCI affected your own design ideas?

Activity 2: Jigsaw

Teams each work together to become experts on one aspect of the UX process lifecycle (Design, Prototype, Evaluate, and Analyze).

Teams can use their ebook but should also investigate other sites and resources to better understand their part of the Wheel or Lifecycle.

Once teams have become experts on their part, they should design a graphic or infographic to quickly and concisely explain their part. This will be used to teach others. Be sure everyone in the group has an electronic copy.

Teams are rearranged so that one expert from each topic is now seated together. Members of this new group take turns discussing their part of the Wheel using the electronic graphic. Ask questions to insure that all participants understand the concept.

When all teaching has been completed, members return to their original team.

Activity 3: Iteration

Team discussion of iteration.

What is it?

Why is it necessary?

If you have to always iterate, why do you have to get it right in the first place?

How can previous versions constrain a new iteration?

What do you do about it?

Activity 4: Deciding on a Project

Teams discuss and decide on a basic project that will be completed over the next 8 weeks. The project should be doable within the time and skill level of the members.

Check with the instructor once you have an idea to get approval.

IMPORTANT!! Now exchange your project with another team. Yes, now you become the user for the project you proposed and someone else will develop it. In turn, you will develop their project and they are the user. This allows teams to have authentic users available throughout the project.

Activity 5: Putting together your team

Teams are made up of members who bring different skills and knowledge to the project. You ebook Chapter 2.5 discusses some of these roles. Or you can search for more information online or interview a specialist who has run similar projects.

Decide on the role each member will play. One person may play several roles on a small project. Be sure you have selected members of you team to at least cover each of the stages in the lifecycle (Design, Prototype, Evaluate, Analyze).

Submit team project idea summary and team roles here.

Human Computer Interaction CIS205

The purpose of this assignment is to evaluate change management strategies and their impact on organizational outcomes and to effectively communicate a change plan.Using the research gathered in the Topic 6 and 7 assignments, develop an organizational change plan and communicate it to relevant stakeholders in a bulleted executive summary (500-750 words) composed of the following sections: summary, introduction, method (if applicable), findings, conclusions, and recommendations. The executive summary must that address the following:Need for change, role of management in change, and importance of change to stakeholders.Change agents and their future role in the organization.Identification of area for change and communication of this information from management to employees and change agents.Identification of two proactive steps the organization needs to take today to avert potential change-related problems.Identification and explanation of significant obstacles that could be encountered by each of the following: management, employees, change agents, and two other significant stakeholders.Identification of two potential sacrifices that the organization might need to make to accomplish the goals/objectives of this organization.The three most essential resources the organization needs to sustain the required changes?Explanation of change management strategies that would help the organization integrate change and the impact of these strategies on organizational outcomes.Discussion or revisions that could be made to the vision and mission statements of the organization.Communication plan identifying techniques and channels to be leveraged to effectively influence the change.Summarize the estimated timeline for plan implementation – Non plagiarized.Use the attachments as reference. Research was based off organization.WELLS FARGO BANK.

MGT 325 Grand Canyon University Wells Fargo Organizational Change Plan Case Study

## Chamberlain Week 3 Analyzing The Body Language Social Movement Discussion

Chamberlain Week 3 Analyzing The Body Language Social Movement Discussion.

I’m working on a political science presentation and need a sample draft to help me study.

Week 3 Assignment: Analyzing Body LanguageStart AssignmentDue May 23 by 11:59pm Points 175 Submitting a website url, a media recording, or a file uploadRequired ResourcesRead/review the following resources for this activity:Textbook: Chapter 7, 8Lesson 3APA style manualCitation and Writing Assistance: Writing Papers At CULibrary OverviewHow to Search for Articles – the Everything TabInstructionsSocial Movements are only as important as the person leading them. The person(s) leading a social movement must have charisma and be able to captivate an audience. Political scientists and historians are taught to analyze body language, especially during debates and speeches.For this assignment, you will watch Dr Martin Luther King’s I Have a Dream (Links to an external site.) speech and a speech by Alicia Garza of the Black Lives Matter movement (Links to an external site.) and answer questions listed below. Pay special attention to the following aspects in the two speeches.Importance of body language while delivering the speech.Gestures, cadence and delivery style.Answer the followingProvide a summary of the two speeches.Compare Dr. King’s leadership, charisma, power and passion to capture his audience to Alicia Garza’s speech. What are the similarities, if any? What are the differences, if any?How does the location of the speeches support their messaging? Dr. King’s speech was held in a church and at the Lincoln Memorial, whereas today we have social networking and more avenues to relay messages. Does messaging make a difference?Describe how the audience in Dr. King’s speeches relate to the Alicia Garza’s audience. Do you see a similarity or differences in the speeches and in the audience?Paper Requirements (APA format)Length: 2-3 pages of substantive content12 pt fontParenthetical in-text citations included and formatted in APA style References page (a minimum of 2 outside scholarly sources plus the textbook and/or the weekly lesson for each course outcome) . At least one of the references should be a state constitution.Title and introduction pages are present.GradingThis activity will be graded based on the Written Assignment Grading Rubric.Course Outcomes (CO): 2, 4, 6Due Date: By 11:59 p.m. MT on SundayRubricWeek 3 – Analyzing Body LanguageWeek 3 – Analyzing Body LanguageCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeLength15 ptsThe assignment is at least 1½- 2 pages long.13 ptsThe assignment is at least 1½ pages long11 ptsAssignment is 1 page in length10 ptsAssignment is ½ page in length0 ptsNo effort15 ptsThis criterion is linked to a Learning OutcomeSummary of Speeches20 ptsPaper begins with a clear and concise summary of both speeches17 ptsPaper provides a summary of both speeches, but more detail could be added.15 ptsPaper provides a summary of both speeches but is short on specifics13 ptsPaper provides a summary of one speech. Second summary and details incomplete0 ptsNo effort20 ptsThis criterion is linked to a Learning OutcomeLeadership and Charisma: Similarities and differences between Dr. King and Alicia Garcia’s speech35 ptsProvides a thoughtful and clear description of the ways Dr. King and Alicia Garza capture their audience and make their points31 ptsProvides a thoughtful description of the ways Dr. King and Alicia Garza capture audience and make their points to the audience27 ptsProvides some description of the ways Dr. King and Alicia Garza capture audience and make their points to the audience24 ptsMinimal description of the ways Dr. King and Alicia Garza capture audience and make their points to the audience0 ptsNo effort35 ptsThis criterion is linked to a Learning OutcomeLocation Impact30 ptsClearly discusses the significance of the locations in reinforcing Dr. King’s message and that of Alicia Garza26 ptsDiscusses the significance of the locations in reinforcing Dr. King’s message and that of Alicia Garza.23 ptsMentions the significance of the locations in reinforcing Dr. King’s message and that of Alicia Garza20 ptsMinimal mention of the significance of the locations in reinforcing Dr. King’s message and that of Alicia Garza0 ptsNo effort30 ptsThis criterion is linked to a Learning OutcomeAudience Reaction: Compare and Contrast35 ptsDraws clear, explicit connection between the audience reaction and Dr. King’s vocal intonations and body language in comparison/contrast to Alicia Garza.31 ptsDraws good connection between the audience reaction and Dr. King’s vocal intonations and body language in comparison/contrast to Alicia Garza.27 ptsSome connection between the audience reaction and Dr. King’s vocal intonations and/or body language in comparison/contrast to Alicia Garza.24 ptsMinimal connection between the audience reaction and Dr. King’s vocal intonations and/or body language in comparison/contrast to Alicia Garza.0 ptsNo effort35 ptsThis criterion is linked to a Learning OutcomeWriting: Mechanics and Usage20 ptsThe writing is concise, free of errors in grammar, spelling, and punctuation.17 ptsThe writing is free of errors in grammar, spelling, and punctuation.15 ptsThe writing contains some errors in grammar, spelling, and punctuation.13 ptsThe student presents information that is not clear, logical, professional or organized to the point that the reader has difficulty understanding the message0 ptsNo effort20 ptsThis criterion is linked to a Learning OutcomeCitations10 ptsThe references are provided in accurate APA format.8 ptsThe references contain 1 error in APA format.7 ptsThe references contain 2 errors in APA format.6 ptsThe references contain 3 or more errors in APA format.0 ptsNo effort10 ptsThis criterion is linked to a Learning OutcomeReferences10 ptsContains at least two references, one of which is a state constitution8 ptsContains at least two references, but one of the two is not a state constitution7 ptsContains one reference, which may or may not be a state constitution6 ptsReferences have significant errors, are incorrect, or not related to the content0 ptsNo effort10 ptsTotal Points: 175PreviousNext

Chamberlain Week 3 Analyzing The Body Language Social Movement Discussion

## Introduction to Atmospheric Modelling

best essay writers Yazdan M.Attaei ABSTRACT An atmospheric model is a computer program that produces meteorological information for future times at given locations and altitudes. Within any modern model is a set of equations, known as the primitive equations, used to predict the future state of the atmosphere [2]. These equations (along with the ideal gas law) are used to evolve the density, pressure, and potential temperature scalar fields and the air velocity (wind) vector field of the atmosphere through time. The equations used are nonlinear partial differential equations which are impossible to solve exactly through analytical methods, with the exception of a few idealized cases [3]. Therefore, numerical methods are used to obtain approximate solutions. In this work, we study the Heat and Wave equations as two important aspects when studying meteorology and atmospheric modeling. We assume an idealized domain with certain boundary conditions and initial values in order to predict the evolution of temperature and track the wave propagation in the atmosphere. Keywords: Atmospheric model, Finite difference method, Heat equation, Wave equation. Introduction: An atmospheric model is a mathematical model constructed around the full set of primitive dynamical equations (equations for conservation of momentum, thermal energy and mass) which govern atmospheric motions. In general, nearly all forms of the primitive equations relate the five variables n, u, T, P, Q, and their evolution over space and time. The atmosphere is a fluid. Therefore, modelling the atmosphere in fact means the numerical weather prediction which samples the state of the fluid at a given time and uses the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future. The model can supplement these equations with parameterizations for diffusion, radiation, heat exchange and convection. The primitive equations are nonlinear and are impossible to solve for exact solutions and numerical methods obtain approximate solutions. Therefore, most atmospheric models are numerical meaning they discretize primitive equations. The horizontal domain of a model is either global, covering the entire Earth, or regional (limited-area), covering only part of the Earth [4]. Some of the model types make assumptions about the atmosphere which lengthens the time steps used and increases computational speed. Global models often use spectral methods for the horizontal dimensions and finite-difference methods for the vertical dimension, while regional models usually use finite-difference methods in all three dimensions. Since the equations used are nonlinear partial differential equations, in order to solve them, boundary conditions and initial values are required. Boundary conditions are specified by the assumptions related to horizontal and vertical domain of study. The equations are initialized from the analysis data and rates of change are determined. These rates of change predict the state of the atmosphere a short time into the future; the time increment for this prediction is called a time step. The equations are then applied to this new atmospheric state to find new rates of change, and these new rates of change predict the atmosphere at a yet further time step into the future. This time stepping is repeated until the solution reaches the desired forecast time. The length of the time step chosen within the model is related to the distance between the points on the computational grid, and is chosen to maintain numerical stability. Time steps for global models are on the order of tens of minutes, while time steps for regional models are between one and four minutes. The global models are run at varying times into the future. Approximating the solution to the partial differential equations for atmospheric flows using numerical algorithms implemented on a computer has been intensively researched since the pioneering work of Prof. John von Neuman in the late 1940s and 1950s. Since Von-Neuman’s numerical experimentation on the first general purpose computer, the processing power of computers has increased at a breath-taking pace. While global models used for climate modeling a decade ago used horizontal grid spacing of order hundreds of kilometers, computing power now permits horizontal resolutions near the kilometer scale. Hence, the range of the scales of motion that next-generation global models will resolve spans from thousands of kilometers (planetary and synoptic scale) to the kilometer scale (meso-scale). Hence, the distinction between global climate models and global weather forecast models is starting to disappear due to the closing of the resolution gap that has historically existed between the two [1]. In this work first we solve two-dimensional heat equation numerically in order to study temperature rate of change which is a part of the equation for the conservation of energy in atmosphere. Two different types of sources (steady state and periodic pulse) are applied to simulate the heat sources for a local (small-scale) domain and the results are illustrated in order to investigate results for the applied boundary and initial value conditions. In the second part of this study, two-dimensional wave equation is solved numerically using finite difference technique and certain boundary and initial value conditions are applied for the small-scale idealized domain. The aim is to study the wave propagation and dissipation along the domain from the results which are illustrated for different types of excitations (standing wave and travelling wave). Overall, the aim of this paper is to show the efficiency of numerical solutions particularly finite difference method for solving primitive equations in atmospheric model. Heat Equation: To study the distribution of heat in the domain, we consider following parabolic partial differential heat equation with thermal diffusivity a; Domain: The idealized 2D domain is a plane of the size unity on each side with the following initial values and boundary conditions; Boundary Conditions (BCs): Dirichlet boundary condition is assumed for all the boundaries except at the regions where the source with T=Ts is taking place; T (0,y)=0 , T(x,0)=0 (except at source) T(1,y)=0 , T(x,1)=0 Initial Values: At time zero, we assume temperature to be zero everywhere except at the region where the source is applied to; Finite Difference Scheme: Heat equation can be discretized using forward Euler in time and 2nd order central difference in space using Taylor series expansions and spatial 5-point stencil illustrated below; Figure 1: Five points stencil finite difference scheme which after simplifying it takes the form; If we apply equal segmentation in both directions so that and rewriting the equation in the explicit form we have; where . For stability of our scheme we need hence; Excitation: In order to observe the heat transportation in all directions, we assumed two different types of the source. First, we use a steady state source placed at the corner next to the origin with dimension of 5 grid cells with temperature amplitude Ts=10o . The second source will be the following pulse source applied for 5 time steps and removed for the next 15 time steps (period of pulse function = 20). This will help to visualize the ability of the scheme to evaluate the temperature at the source region when the source is removed (back-transport of the heat). Results: The following figures illustrate the results observed by applying the scheme, the sources described previously and thermal diffusivity of a=2 with grid cells of size (Ni=Nj=50 number of grid points in x and y directions); (a) (b) Figure 2: Distribution of temperature (a) t=0 sec, b) t=20 msec, steady state source of size 5 grid cells in each direction. It is observed that for t>0 while we have a constant temperature at the source, temperature is diffused along the domain in both directions and it will not diverge at any point when time increases since the stability criterion was already applied for the duration of time steps . Also, in the vicinity of the source temperature is remained almost constant or with small variations after a sudden large increase due to the adjacent source cells with Ts=10o and the nature of the scheme in which back grid points are included for approximation. When the steady state source is replaced by a pulse source with certain On and Off duration (period) as it is seen in Figure 3, diffusion continues even in the absence of the source at the whole domain including the source region as in Figures 3(b),(d). This is more visible in Figure 3(c) in the vicinity of the source but compared to the steady state excitation, there is a significant temperature drop due to the fact that the source has been Off for several time steps and temperature drops gradually with its maximum drop just before the source is applied again as illustrated in Figure 3(d). (a) (b) (c) (d) Figure 3: Distribution of temperature when Pulse source is applied (period=20 time steps). (a)Initial time, (b)At first Off state, c)Right after second On state, d)Before 24th On state The last parameter to study for the heat equation is the diffusion coefficient. It is the coefficient which affects the rate of diffusion. Figure 4 shows that during equal time period, by larger coefficient heat will diffuse in larger area (dotted circles) of domain compared to when the coefficient is small. (a) (b) Figure 4: The effect of thermal diffusivity on temperature distribution.(a) a=2, (b) a=0.25 Wave Equation: Similar to the heat equation, hyperbolic partial differential wave equation can be discretized by using Taylor series expansion. In this equation, c is the wave constant which identifies the propagation speed of the wave. Our goal is to study the reflection of the wave at the boundaries and the dissipation of the wave due to the numerical solution of the wave equation. Domain: We use the same idealized domain in studying heat equation but in addition to Dirichlet, we also consider Von-Neumann boundary condition in order to study the reflection of the wave at the boundaries. A proper set of initial values will be chosen since this differential equation is of second order with respect to time. Von-Neuman Boundary Conditions: At the boundaries we will assume the following conditions; Source region Initial Conditions: The following initial conditions are assumed since we will use central difference in time and two time steps (current and previous) are used to evaluate the value at the future time; ) Finite Difference Scheme: For the above parabolic differential wave equation, 2nd order central difference scheme in both time and space is used for discretization as follows; and with âˆ†x=âˆ†y=h and rewriting the equation explicitly; with , the CFL number which must be less than or equal to since the coefficient of should be a positive (or zero) for stability of the scheme. Hence; Now, back to the boundary condition, by using forward Euler difference for the left and bottom boundaries (i=1,j=1) we can write; and similarly using backward difference at right and top boundaries (i=Ni,j=Nj) ; As we numerically solve for the derived general finite difference equation and illustrate it, we will see that the above boundary conditions are the mathematical representation of full wave reflection at the boundaries. For the second initial value condition we use central difference at t=0 (n=1) and it is derived; Substituting in general difference equation we get; Now, we can apply second order central difference for both temporal and spatial variations for Von-Neumann boundary conditions. Excitation: In this work, in order to study propagation and reflection of the wave using numerical solution of the wave equation, two different sources are applied at the origin with the dimension of 5×5 grid cells for both Dirichlet and Von-Neumann domain boundary conditions; Travelling Wave: Stationary Wave: where and wave numbers . The wave constant c assumed to be c=1 for simplicity, therefore = 0.01 in both x and y direction. Results: For Dirichlet boundary conditions the following figures are obtained for Stationary and Travelling wave sources; (b) Figure 5: Dispersion of Stationary wave in domain with Dirichlet BCs (a) before reflection (b) after partial reflection In Figure 5(a) the wave which is scattered from a stationary source is dissipated through the domain since the source is stationary. In Figure 5(b) the reflections at the boundaries are seen to be weak because of the Dirichlet BCs. Infact, these ripples are mostly due to the nature of finite differencing. However, it is clearly observed in Figure 6(a),(b) that the magnitude of the wave at the boundary is kept zero by Dirichlet BCs. (b) Figure 6: Dispersion of Stationary wave in domain with Dirichlet BCs (a) before reflection (b) after partial reflection, 3D view Figure 7 illustrates the travelling wave propagating in the domain. The ripples have larger magnitudes since the wave itself is travelling and this reduces the amount of attenuation because of the scheme specially after the reflection at the boundaries the weakend ripples are magnified by continuously incoming waves. (b) Figure 7: Travelling wave propagates in domain with Dirichlet BCs (a) before reflection (b) after partial reflection For Von-Neumann BCs, it is expected that for both standing wave and propagating wave we observe full reflection by the boundaries as described during the discretization of these BCs. Figures 8 and 9 illustrate the application of such boundary conditions for standing wave source and travelling wave source respectively. (b) Figure 8: Dispersion of Stationary wave in domain with Von-Neumann BCs (a) before reflection (b) after partial reflection (b) Figure 9: Wave propagation in the domain with Von-Neumann BCs (a) before reflection (b) after partial reflection In the above figures, it is seen that at the boundaries the ripples are fully reflected back to the domain as well as the time when the wave is propagating forward from the source and is reflected at bottom and left boundaries. These would be more visible when showing the figures in three dimensions (Figure 10); (b) (c) (d) Figure 10: Wave propagation (a),(b)standing wave, before and after reflection (c),(d)travelling wave, before and after reflection To sum up, finite difference scheme which is used in this work provides numerical solution of the wave equation well and the results are close to what are expected for the wave propagation in such idealized domain with different boundary conditions. Conclusion: In atmospheric science, heat flow is related to temperature rate of change and the evolution of momentum and energy in atmospheric models are related the gravity waves as they transport energy. In the Earth’s atmosphere, gravity waves are a mechanism for the transfer of momentum from the troposphere to the stratosphere. Gravity waves are generated in the troposphere, propagate through the atmosphere without appreciable change in mean velocity. But as the waves reach more diluted air at higher altitudes, their amplitude increases, and nonlinear effects cause the waves to break, transferring their momentum to the mean flow. Therefore, numerical solutions of atmosphere primitive equations play an important role for studying the evolution of fundamental variables in atmospheric science especially since these equations are partial differential equations which cannot be solved analytically. In this paper, a brief study over the numerical solution of heat and wave equations was conducted as a basis for a bigger scale atmospheric modelling. The results demonstrate the efficiency of finite difference method to solve these equations (in small-scale domain) when they are compared to the theoretical expectations, therefore, solving primitive equations in atmospheric models by numerical techniques can be a following work to this paper. REFERENCES [1] Lauritzen, P.H, Jablonowski C., Taylor, M.A. Nair, R.D. (2011). Numerical Techniques for Global Atmospheric Models, New York: Springer. [2] Pielke, Roger A. (2002). Mesoscale Meteorological Modeling, Massachusetts: Academic Press. [3] Strikwerda, J. C. (2004). Finite Difference Schemes and Partial Differential Equations, Philadelphia: SIAM. [4] Warner, T.T. (2010). Numerical Weather and Climate Prediction. Cambridge: Cambridge University Press

## MC Plato Concept of Justice the Individual & Society Creating Justice Discussion

MC Plato Concept of Justice the Individual & Society Creating Justice Discussion.

should be roughly 5 pages in length but should not exceed 7 pages. Answers must indicate the question being answered, be type written, double spaced, with 1 inch margins, and Times New Roman 12 cpi font. The answer should be written in paragraph form and be roughly 1500 words. The text should be used to support your answers, when citing the text please use in-text citation referring to the page number. Do not use excessive quotation, more than 3 lines per page is considered excessive. Students should focus on the materials from the course, but if outside sources are being used a work cited page will be required. Only PDF or DOC files can be read so please only use those types of files.

MC Plato Concept of Justice the Individual & Society Creating Justice Discussion

## ECO 110HA SLU How Does Inflation Affect Our Economy Discussion

ECO 110HA SLU How Does Inflation Affect Our Economy Discussion.

Dr. Evil was frozen in 1967, and being frozen for thirty years causes Dr. Evil to underestimate how much ransom money he should ask for. But just how much did the price level rise over those thirty years?The Consumer Price Index (CPI) is just one price index that we use to measure inflation. The CPI was 33.4 in 1967 and 160.5 in 1997. Dividing 160.5 by 33.4 yields a factor of 4.8, so if Dr. Evil thought that one million dollars was a lot of money in 1967, an equivalent amount in 1997 would be $4.8 million. Imagine if you were cryogenically frozen in the 1960s and revived 30 years later. Changes in societal behavior, advances in technology, and even higher prices would all come as a shock to you! Find the price of a product in the past. You can search various websites for historical prices of popular products. One possibility is Historic Food Prices. Use the following Bureau of Labor Statistics table, which shows all the annual average CPIs for all years since 1913, to convert the price of the product you chose to the most recent dollar amount, as we did with Dr. Evil’s $1 million. Make sure you also address the following questions:a) How does inflation affect our economy and the people in it?b) Who does it hit the hardest?c) How can you protect yourself against inflation?https://mediaweb.saintleo.edu/courses/ECO110HA/M5_…

ECO 110HA SLU How Does Inflation Affect Our Economy Discussion