IT FUNDAMENTALS

  

Question 1. 

a)  A Computer uses IEEE-754 single precision format to represent floating points. What value (in decimal) the computer represents if the floating point is represented using the following binary digits. Show all the steps used in finding the answer.                                                                                                                                                                                                                     

       0 01111110 10100000000000000000000 

b) Convert the following numbers. (Please show all steps; no marks will be awarded if no steps are shown)                                                                                                                         

i)    0xAD9 into 3-base representation

ii)   4518 into 2-base (binary) representation

iii) 123.35 into octal representation (up to 3 octal points)

iv)  14.358 into decimal representation

Question 2. 

Write a MARIE program that accepts an integer from the user, and if it is a prime number the program will output 1, otherwise, the program will output 0. 

Examples: 

If the user input is 17, the output would be 1

If the user input is 2, the output would be 1

If the user input is 15, the output would be 0

If the user input is -2, the output would be 0

You should write and run the program using MARIE simulator. Add enough comments to understand your code.

You do not have to include the .mas file in the submission. Instead, the code should be presented as a word-processed section in the assignment, not as an image. 

Insert images to show you have tested the code with several possibilities.

Question 3.

a) Explain with an example of what is meant by high-order interleaving and low-order interleaving in memory organisation.  

b) Suppose we have a memory consisting of 32 4Kx8-bit chips.

    Show the address structure and module organisation when 

     i. high-order interleaving is used

   ii. low-order interleaving is used.

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chapter 3 assignment

 

After reading and analyzing chapter 3 from your textbook, ERM at Mars, Incorporated: ERM for Strategy andOperations, please consider the following:

  • From your analysis, what are the key success factor contributed to the Mars’ ERM project?
  • Do you view Mars’ ERM project as a success?  Please elaborate on your answer?
  • What improvements would you make? 

Note – Attached the Text Book

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Discussion on Data quality issues: observational vs experimental science

Discuss exercise 9 in chapter 2: “Many sciences rely on observation instead of (or in addition to) designed experiments. Compare the data quality issues involved in observational science with those of experimental science and data mining.

Text book link:https://s3.us-east-1.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/3932693?response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27introduction-to-data-mining-pang-ning.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200123T050844Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAIL7WQYDOOHAZJGWQ%2F20200123%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=78c1c0f955368b742a6ebbe69a69114119c1a095ef269044f70bdcb804a97cdb

Should Pass the plagarism and include the citation and reference

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Linux Implementation Proposal: Client Response Memo

Linux Implementation Proposal: Client Response Memo 

Faster Computing was impressed with your presentation. The company is interested in moving forward with the project, but the senior management team has responded to the presentation with the following questions and concerns:

  • How will security be implemented in the Linux systems—both workstations and servers?
  • End users have expressed some concern about completing their day-to-day tasks on Linux. How would activities such as web browsing work? How would they work with their previous Microsoft Office files?
  • The current Windows administrators are unsure about administering Linux systems. How are common tasks, such as process monitoring and management, handled in Linux? How does logging work? Do we have event logs like we do in Windows?
  • Some folks in IT raised questions about the Linux flavor that was recommended. They would like to see comparisons between your recommendation and a couple of other popular options. What makes your recommendation the best option?
  • How does software installation work on Linux? Can we use existing Windows software?
  • How can Linux work together with the systems that will continue to run Windows? How will we share files between the different system types?

The deliverable for this phase of the project is a memo. There is no minimum or maximum page requirement, but all of the questions must be fully answered with sufficient detail. The recommended format is to respond to the questions in a bulleted format. Provide sufficient detail to fully address the questions. You must cite at least two quality sources.

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Consumerization of Technology at IFG Case Study, 300 words, plagiarism report needed

     

Discussion Questions 

  1. Describe the problem at IFG as succinctly as you can. Use this description to identify the main stakeholders.
     
  2. IFG can’t afford the resources to identify, define, cleanse, and validate all of its data. On the other hand, building yet another data mart to address a specific problem worsens the data situation. Propose a solution that will enable IFG to leverage a key business problem/opportunity using their BI tools that does not aggravate their existing data predicament.
         

“There’s good news and bad news,” Josh Novak reported to the assembled IT management team at their monthly status meeting. “The good news is that our social media traffic is up 3000% in the past two years. Our new interactive website, Facebook presence, and our U-Tube and couponing promotions have been highly successful in driving awareness of our ‘Nature’s Glow’ brand and are very popular with our target demographic—the under-30s. Unfortunately, the bad news is that our competitors at GPL are eating our lunch with the new mobile apps they’ve developed.” 

Everyone frowned at the mention of Grocers’ Products Limited, their fiercest com- petitor, which had the largest chain of integrated food and retail stores in the country and whose Premier Choice products were showcased on their shelves, making it increasingly harder for IFG to get prime space for their top brands. 

“Our web and social media presence has helped us to begin to develop a relation- ship with our customers,” Josh continued, “but our Marketing folks are very worried that we’re going to be falling behind, isn’t that so Tonya?” 

Tonya James, manager of IT Marketing, nodded her head. As the IT person work- ing directly with marketing, it had been under her watch that IFG had transformed its dowdy online presence into something that was hip and trendy. Together, she and Josh, now manager of IT Innovation, had begun experimenting with new media, creating an innovation process that took a large number of new technologies and ideas for products and services and created a protected “sand box” that enabled trial implementations for employees only. Feedback and experience at this level then helped Josh and his busi- ness colleagues select the best ones for development in full “heavy-duty” production mode for the public, complete with privacy and security protection and following all architectural standards. Only then would the chief technology officer, Rick Visser, who was charged with protecting company data and systems, allow new technologies to be fully integrated into IFG’s internal technical environment. 

Mark Szabo, the newly appointed head of IFG’s Business Intelligence (BI) team reported next. “As you all know, our executives are all screaming for more and more information to help them but it’s not going to be easy. What we have here at IFG is a data mess and it’s only going to get worse from what I can see.” The picture wasn’t pretty he warned. IFG had thousands of traditional systems all of which produced data and reports. The problem was that each used somewhat different definitions of impor- tant company concepts, like “in stock.”      

“If our goal is to improve the stocks of our products on the shelves, we’ll have to go back to rewrite many of these systems. Some of them believe that a product is ‘in stock’ when it’s on the shelves; others when it’s in our back room waiting to be put on the shelves; still others when we have received the order from the supplier or when it’s arrived at our regional distribution centers.” He went on to describe similar problems with varying understandings of such core company data as “customer,” “supplier,” “employee,” and others. “It’s hard to tell our executives how ‘sales’ are going when we don’t have a single definition of what ‘sales’ are!” he said with frustration. “Right now, I’ve got two people working full time on spreadsheets trying to reconcile data to answer the questions we continually get from the 37th floor,” he concluded referring to the executive suite. “We can’t tell them we don’t have the information but we need a better way to get it, that’s for sure.” 

The meeting droned on with the CIO, John Ahern, calling on all his managers one at a time. As far as most of them were concerned, it was “business as usual” in IT. Josh didn’t say anything else in the meeting but he cornered Mark as it broke up. “Have you got time for a coffee? I think we need to talk.” 

“Sure, what’s up?,” Mark asked as they headed toward the company cafeteria. 

“I liked what you had to say in the meeting about BI,” said Josh. “You seem to be one of the few managers here who understands that what we do in IT is going to have to change dramatically over the next few years. And that a lot of our work is going to focus on information—getting it; analyzing it; and delivering it in packages that people can use for their work. I believe that there’s a data tsunami rapidly heading our way and we haven’t got a clue how to deal with it.” 

Mark grimaced as he filled his cup with what the cafeteria called “coffee.” “I know, I know,” he agreed. “I’ve only been in BI a couple of months but all those articles and books out there about competing on analytics and analyzing unstructured data, like emails and tweets and blogs, are making my head spin. If we can’t agree on what a ‘customer’ is, how are we ever going to manage the rest?” 

Josh made a sympathetic face. “You’ve got that right, but I’m afraid it’s even worse than you think.” Over the next thirty minutes he described what he was seeing out in the field as he looked for innovative new technologies and applications that could help IFG. 

“You think we have problems with our existing systems, but there are guys out there in our business units buying full-scale applications from the cloud with company credit cards!” He went on to tell Mark about the pressure he was getting from the sales guys to buy everyone iPads so they could write up orders on the road. “We’ve already been forced by our C-team to buy them and the board iPads and so far, we’ve kept them locked down tightly, but that’s going to change very soon.” 

Users were also creating local “data marts,” which included copies of core com- pany data as well as external data feeds, and then building complex spreadsheets with information derived from these. 

“Our business units don’t use the centralized company reports anymore,” he stated. “They create their own. We’ve got the ‘wild west’ out there!” 

Mark looked shocked. “What about our company data warehouse? Isn’t that what they’re supposed to use?” He had spent a few years building the warehouse a while back and the team had put a lot of thought into making it the best they could. 

Josh was aware of this but ploughed on. He and Mark needed to be on the same page about this if these issues were ever going to be resolved. “The world has changed,”      

he said gently. “Our business guys are online all the time now; software vendors are targeting them directly and because of the low costs involved they can afford to make an end run around IT; there are literally thousands of free data sets out there; and computing power and storage cost aren’t an issue any more with the cloud. Our data warehouse is seen as a dinosaur. It’s inflexible because we insist on reviewing all the data that goes in there for quality and provenance and it takes forever (i.e., 30 seconds) to get a response.” 

Mark looked down at the table and sighed. “So what you’re saying is that all my work in BI is too little, too late?” 

Josh thought for a moment before replying. “That’s not exactly what I’ve been saying, Mark. What I meant to point out is that we in IT are caught in the middle between two opposing trends. The first is the trend to analytics and business intelligence that you’re working on. That’s important. The execs want to get at more information to run the company and it has to be based on good, trustworthy data. There are whole busi- nesses out there that are winning because they’ve found a way to do this. 

But the other, opposite trend is what I’m seeing. And it’s important too. Everyone working in our business is also a consumer of technology and when the devices and applications they can use in their personal lives are more powerful and flexible than those in their business lives, they naturally want to work around the clunky technology we provide them with and use their own. And, since we’re now trying to build relationships with our customers, we are going to have to start thinking and working like they do.” 

“In some ways, this is just like the ‘old days’ in IT,” Mark smiled. “I’m a lot older than you and I remember when those new-fangled PCs came in and everyone in IT was worrying about how we were going to handle people working on their own comput- ers at home. And then when the web first hit business, we had people running around saying ‘the sky is falling’ and developing their own personal and localized websites. We don’t handle new stuff well around here, do we?” 

Josh grinned. He was notoriously frustrated with the IT “powers that be” that always wanted to lock everything down and wrap it in layers of privacy and security before allowing it out there. “Well, let’s just say that we’ve got some way to go before I believe we can be as innovative as I’d like us to be. We’ve got to be aware of these trends and how they’re going to hit us. Or our business model could change and we’ll be out in the cold. Where are all the book stores, video stores and music stores these days? What happened to those companies?” 

“You’re right of course,” said Mark “but we have to get more people involved in figuring out what we need to do here. This is a HUGE issue and we can’t ‘boil the ocean’! Somehow we need to get our arms around the most important things to do so we can make some sort of progress. Otherwise, we’re spinning our wheels and the situ- ation’s just going to grow more and more out of control.” 

“I’ll tell you what,” said Josh. “Let me speak with Tonya. She’s terrific at stick- handling these situations. I’ll get back to you with a plan.” And with that, they began to talk about the upcoming company softball game as they cleared the table and headed back to their respective cubicles. 

Josh laid the situation out for Tonya at the first opportunity he could find in her busy schedule. “So you see,” he concluded. “We need the discipline and rigor of BI and all of the good things we in IT can do for our executives and employees if we get them better and more trustworthy information. But we also need to keep moving ahead in the mobile and social space for consumers without putting handcuffs on us. And we need to      

recognize that the business is likely already doing their own thing on the cloud without IT and using their own personal devices, because it’s so cheap and easy to do and we don’t help them! If we don’t somehow figure out how all this stuff fits together—especially the data—we’ll never be able to use what we know either operationally or strategically.” 

“You’ve done a good job articulating the challenges we’re facing,” Tonya said. “I know that the Marketing people are putting lots of pressure on me to help them with better information and tools. In my experience, when business is in turmoil they want everything right away and they’ll do whatever it takes to get it now. What would you say our biggest need is right now?” 

Josh fiddled with his pen for a moment. He had hoped Tonya would tell him. “Well . . .,” he said slowly. “We need to be seen to be doing more in this space. It’s okay to work on the big systems and core data. In fact, that’s our main job. But we also need to help the business help itself. With my tiny innovation team, I can’t possibly deal with all of the ideas and technologies that are out there. And the business guys are seeing many more opportunities than I can deal with. It’s really hard to tell what’s going to work and what isn’t until they play with things. I can provide some of this in my ‘innovation sandbox’ but I don’t think that’s going to be enough. And . . .,” he said as another idea popped into his head, “we don’t have the right people to do some of this work. We need information analysts, mobile developers, visualization specialists and lots of business people to work with us and teach us about the business. I don’t have all the answers here but we can’t stick our heads in the sand and let the world change around us. Are we going to be reactionary or visionary?” 

Tonya smiled. “There’s never a dull moment around here is there? You’ve got an important point of view here but I think Rick Visser does too. Just in IT alone, we’ve got a number of groups that need to have some input on this, in addition to my area. We have to get ahead of this ‘tsunami’ of yours and be proactive in a way we’ve never been before. This doesn’t mean that we throw all our tried and true practices out the window but it also means that we should do some things differently around here and that means John has to be involved. We need a plan to manage all these new trends and he’s in the best position to help us because there are going to be a lot of cultural, organizational and structural changes involved, not just for IT but for the whole business. But we can’t dump this in his lap. We need to do our homework first. I’ll talk with him and tell him what we’re doing and try to identify the stakeholders involved. Can you come up with some key issues and preliminary recommendations about what you think we should be doing and how we should do it? Sit down with Mark and get his ideas too. Then we’ll see if we can get everyone in a room together to ‘talk turkey’ and hammer out a more proactive IT strategy for handling this mess.” 

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BI Assignment WK4

3 pages total:

Please use text book as reference

1. Explain the relationship among data mining, text mining, and sentiment analysis.

2. In your own words, define text mining, and discuss its most popular applications.

3. What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.

4. What is the role of NLP in text mining? Discuss the capabilities

and limitations of NLP in the context of text mining.

5. Go to kdnuggets.com. Explore the sections on applications as well as software. Find names of at least three additional packages for data mining and text mining. (Q5 – 250 words)

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Milestone 3 for project for online food ordering system

 Milestone 3: Design Modeling – Due 11/11 

The Design Modeling part should contain the following components: 

a. Final Class Diagram (see page 299, fig 8-15 (5th Ed))

 b. Package Diagram (see page 267, fig 7-21 (5th Ed)) 

c. Database Design (see page 353, fig 9-16 (5th Ed))

 d. Data Access and Manipulation Design (see page 358, fig 9-21 (5th Ed)) 

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edit Inventory.cpp

 

The key abstractions employed in this program are Inventory, Item, and ItemStack. Complete ADT implementations have been provided for the latter two.

The Inventory class is partially implemented. Your task is to complete the Inventory ADT. The code provided will not run correctly… until you complete all the following methods:

  1. Copy Constructor
  2. Destructor
  3. Assignment Operator
    • Note this is already provided and complete. Refer to our discussions of the copy-and-swap method.
    • Once you have completed the Copy Constructor and Destructor, you are done with the Big-3.
  4. Inventory::isFull – refer to documentation in Inventory.h.
  5. Inventory::findMatchingItemStackNode – refer to documentation in Inventory.h.
  6. Inventory::mergeStacks – refer to documentation in Inventory.h.
  7. Inventory::addItemStackNoCheck – refer to documentation in Inventory.h.

The partial implementation provided assumes that each Inventory will keep track of items in a linked list. You must not change this choice of data structure… unless you want a zero.

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PROJECT THREE

You recently started a new position as a data analyst for a large corporation. This past year, members of the organization’s leadership council have shared a new organization-wide strategic goal: Leverage data analytics and technology to become data-driven decision makers.

One way your organization is planning to become more data-driven is to adopt a new customer relationship management (CRM) system. This system would allow the organization to manage relationships with current customers, identify potential customers, increase profits, streamline processes, and facilitate business decisions. In addition, the CRM system will utilize data analysis, which is of high interest to your stakeholders.

A majority of the organization’s stakeholders are unfamiliar with your process for using data analysis to facilitate organizational decision making. The data analytics team has recently received several inquiries from a variety of stakeholders asking you how data analysis, and specifically the new CRM, can be used effectively to impact organizational decision making.

Quite often, professionals use elevator pitches to clearly and concisely convey important information to others. You will need to consider the interests of the organization’s stakeholders and determine what they need to know. To gain acceptance and “buy-in” from stakeholders, prepare an elevator pitch on how analysis using data from the CRM system can be instrumental in data-driven decision making.

Directions

First, select the industry you are most interested in:

  • Banking and Securities
  • Communication and Media
  • Healthcare
  • Education
  • Manufacturing
  • Insurance
  • Consumer Trade
  • Transportation
  • Energy
  • Sports

Note: If you are interested in an industry that is not listed above, reach out to your instructor for approval prior to completing your project. You are not required to select the same industry that you explored in other projects in this course.

You conduct a quick search online to learn more about elevator pitches and find the Elevator Pitch Guide and an easy template to follow (see the What to Submit and Supporting Materials sections below). Create a clear and concise elevator pitch by first introducing yourself and then discussing the following:

  • Describe what it means to be a data-driven organization. Consider the following:
    • How can data inform decision making? Consider providing an example that is relevant to your industry.
    • How does a CRM system play a role in organizational decision making?
    • What is data analysis? How do organizations use data analysis? What are its benefits?
  • Upon purchasing a CRM system, the data analytics team will be responsible for managing the data using the data analytics lifecycle (DAL). Briefly explain each stage of the DAL and a data analyst’s role in each stage. Consider mentioning the relevant types of data that will be available from the CRM system and what questions that data can be used to address in your organization and the industry you selected.
  • As part of the DAL, data analysts communicate their results to various audiences. A CRM system is a common tool used for data-driven decision making in organizations. In your elevator pitch, identify at least two types of tools or methods for sharing data and results from a CRM system. Consider the following:
    • What methods or tools are available and are widely used by analysts to demonstrate conclusions to decision makers?
    • How might data visualization play a role in communicating your results?
  • Be sure to explain why these tools or methods are appropriate for communicating with stakeholders and other nontechnical audiences in your organization. Consider the following:
    • What are the benefits of communicating information this way?
    • Do these tools or methods accurately summarize the information you would like to convey?
    • Will the tools or methods meet the stakeholders’ needs?
    • Are there any considerations that need to be made in regard to cost or time for using these tools or methods?
  • Explain how data influences and impacts organizational decision making. Consider the following:
    • What are the potential improvements that data from a CRM system with data analysis capabilities can be used to facilitate in this type of organization and industry?
    • How will adopting a CRM system impact an organization and its functions?
    • What are the potential constraints when using a CRM system?

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Python: Purple Filter – Objects, Iterations, Nesting, Scope

 

The purpose of this assignment is to use programming as a means of changing the filter on a photograph. You will use the antelope photo from Topic 1 and add either a purple or sunset filter to it.

During this process, you will learn how to iterate through lines of code in order to repetitively test data for conditional status, and change the data based upon the results.

Assignment Instructions:

  1. Locate the same photograph used in the Topic 1 assignment.
  2. Copy the file.
  3. Create a program that prompts the user for the copied file.
  4. Modify the file to add a purple or sunset filter.

Submit the following in a compressed, zip file format:

  1. Your python program. Naming convention is: firstInitial+lastName+PurpleFilter.py. Example: dharalsonPurpleFiler.py
  2. At least one screen capture demonstrating that your program was functional.

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