Category: Computer Science

  • INFO Technology

    Attached Files (PDF/DOCX): Canvas log in.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • research and report on the benefits of BPMN and the challeng…

    Assignment: Business Process Modeling Notation

    Outcomes addressed in this activity:

    Module Outcomes:

    • Explore the importance of BPMN and its processes and how they help validate the process through simulation and testing.
    • Investigate the series of business processes that can be used to capture the issues or challenges in the current business operations.

    Course Outcome:

    IT414-M1: Review cloud architecture as it relates to software development.

    Purpose

    The purpose of business process modeling notation (BPMN) is to provide a standardized graphical notation for depicting business processes clearly, clearly, and consistently. BPMN is designed to bridge the communication gap between business users (such as managers and analysts) and technical users (such as developers and IT teams), enabling both groups to visualize, analyze, and improve business workflows.

    Assignment Details

    Business processes are at the heart of organizational efficiency, driving the flow of tasks and activities that deliver value to customers and stakeholders. As organizations grow in complexity, so does the need for a standardized approach to managing and optimizing these processes. For this assignment, you will research and report on the benefits of BPMN and the challenges that organizations may face when implementing it.

    Assignment Instructions

    This research assignment (three full pages) must be completed using APA 7 and must have at least five peer-reviewed references

    • Rubric and Minimum Submission Requirement
    • This research assignment (three full pages) must be completed using APA 7 and must have at least five peer-reviewed references
    • Respond to the questions in a thorough manner, providing specific examples of concepts, topics, definitions, and other elements asked for in the questions. Your paper should be highly organized, logical, and focused.
    • Your paper must be written in Standard English and demonstrate exceptional content, organization, style, and grammar and mechanics.
    • Your paper should provide a clearly established and sustained viewpoint and purpose.
    • Your writing should be well ordered, logical and unified, as well as original and insightful.
    • A separate page at the end of your research paper should contain a list of references, in APA format. Use your textbook, the Library, and the internet for research.
    • Be sure to cite both in-text and reference list citations where appropriate and reference all sources. Your sources and content should follow proper APA citation style.
  • Introduction to Data Science

    INTRODUCTION

    Purpose:
    The final project allows you to apply what youve learned in this course to explore a real-world issue through service-learning, integrating data analysis, reflection, and presentation. The project is structured in three parts to guide your work from planning to final submission.

    Grading Breakdown:

    • Part 1: Draft: 10%
    • Part 2: Lab Space Discussion: 10%
    • Part 3: Final Paper and Video: 80%

    PART 3: FINAL PAPER AND VIDEO (80%)

    Purpose:
    The final paper is your complete project submission, including data analysis, code, executive summary, AI reflection, and video presentation. This demonstrates your ability to apply course concepts to a real-world issue.

    Grading Breakdown (within Final Paper and Video):

    • Codes & Analysis: 50%
    • Executive Summary: 20%
    • Video Presentation: 20%
    • AI Assistance Reflection: 10%

    Part 3a: Codes & Analysis 50%

    Instructions:

    1. Problem Statement – 5 points
      • Choose a topic of interest.
      • Find a public dataset (e.g., Kaggle, Data.gov, GeorgiaData.org).
      • In Colab, write an inline comment summarizing your topic and linking the dataset.
    2. Research Questions – 5 points
      • Include three specific questions as inline comments in your Colab notebook.
    3. Analysis Methods
      • Analyze your data using one method per question:
        • Graph or descriptive statistics for one question. 10 points
        • t-test for another. 10 points
        • Regression analysis for the third. 10 points
      • After each result, write some inline comments interpreting your findings.
      • Include titles, axis labels, and legends for all charts. 5 points
      • Use inline comments to explain each step. 5 points
    4. Export your Google Colab notebook as an ipynb file. For example: JDoeUnit2Assignment.ipynb

    Part 3b: Executive Summary 20%

    Instructions:

    • Write a concise executive summary (~100200 words) highlighting:
      • Introduce your topics and be present on the camera. 5 points
      • Present your research questions and methods. 5 points
      • Present key findings and interpretations. 5 points
      • Walkthrough your codes or slides. 5 points
    • The executive summary should be clear and professional, suitable for an executive audience.

    Part 3c: Video Presentation 20%

    • Create a 2-3 minute video presenting your project.
    • Include:
      • Introduce your topics and be present on the camera. 5 points
      • Present your research questions and methods. 5 points
      • Present key findings and interpretations. 5 points
      • Walkthrough your codes or slides. 5 points
    • Recommended tools: Camtasia, Loom, Screencastify, or

    Part 3d: AI Assistance Reflection 10%

    • Write a short paragraph (~100 words) describing how you used Google Colab Generative AI to assist with coding or analysis. 10 points

    Submission

    Submit all components of your final project as follows:

    1. Google Colab Notebook – 50 points
      • Upload your .ipynb file containing all code, analysis, and inline comments.
      • Example filename: JDoeUnit2Assignment.ipynb
    2. Executive Summary – 20 points
      • Submit a concise summary (~100150 words) of your key findings and recommendations.
    3. Video Presentation – 20 points
      • Provide a link to your video presentation (YuJa, Google Drive, or direct upload).
    4. AI Assistance Statement – 10 points
      • Include a short paragraph describing how you used Google Colab Generative AI to support your project, citing any contributions.

    The final paper and video will be graded using .

  • project 1 software design

    Homework 1: Warm-Up with Flash Cards

    In this assignment, you will complete a simple learning system. For now, we are keeping things simple and use an interactive command-line interface, one of the simplest and oldest user interfaces for computer programs. The goals of this assignment are to familiarize you with our course infrastructure, let you practice object-oriented programming in Java, and start using public libraries. While you will only write very little code for this assignment, you may spend significant time getting familiar with the languages, infrastructure, and tooling.

    Provided Implementation

    Like often common in software engineering practice, you won’t start entirely from scratch but start with an existing implementation. Fortunately, it’s even somewhat documented and clean, so you should be able to figure out what’s happening by reading documentation and code. You may change existing code if you like.

    With the GitHub classroom link on Canvas create a Git repository with the provided starter code. The repository contains a Java implementation. You will complete all tasks in Java. Note that the Java implementation has a folder named achievement that implements an achievement system for the flashcard learning system. This folder only becomes relevant in Homework 2 which builds on this assignment. You will not need to make any changes to it in this homework.

    You should use an IDE to load and edit the projects. We recommend for Java development, but you are welcome to use or other IDEs if you prefer.

    Tasks

    Task 1: Implement new card organizer. Implement a new card organizer RecentMistakesFirstSorter by creating objects that implement the CardOrganizer interface. The organizer should work as follows: “Orders the cards so that those that were answered incorrectly in the last round appear first. This reordering should be stable: it does not change the relative order of any pair of cards that were both answered correctly or incorrectly. So, if no cards were answered incorrectly in the last round, this does not change the cards’ ordering.”

    Starting points: try to dissect the specification into its main components. What should the behavior be under “typical” inputs (e.g., one card with a recent failure, one without; cards with several successes and failures), and what scenarios does it outline as exceptions? Do avoid implementing anything extra that is not part of the specification.

    Name your new sorter RecentMistakesFirstSorter. Your sorter should implement the CardOrganizer interface.

    Note that only a relatively small amount of code is necessary to implement this new class. Only minimal changes will be required outside of your new class, in particular to test the new sorter by using it in place of the sorter the code starts with (CardShuffler/newCardShuffler).

    Task 2: Command-line interface. There is already some implementation of a textual user interface that prints questions and reads answers. But, the codebase implements a number of different card ordering and filtering mechanisms; the UI does not take advantage of them. It also does not read in a filename for the card file; this is hard-coded. This is not very user friendly.

    Your task is to develop a proper command-line interface that parses provided arguments and sets up the right card deck and the organizing mechanisms. Parsing command-line options is a standard task that has been done many times before, no there is need to start entirely from scratch! Instead, you should find and use an open-source library for command-line options and use it to provide an interface comparable to this:

    flashcard <cards-file> [options]

    Options:
    --help Show this help
    --order <order> The type of ordering to use, default "random"
    [choices: "random", "worst-first", "recent-mistakes-first"]
    --repetitions <num> The number of times to each card should be answered
    successfully. If not provided, every card is presented once,
    regardless of the correctness of the answer.
    --invertCards If set, it flips answer and question for each card. That is, it
    prompts with the card's answer and asks the user
    to provide the corresponding question.
    Default: false

    (The program does not need to be runnable using the flashcard keyword as above; we just used that to illustrate concisely.)

    Your code should provide these options and check that valid values are provided, reporting errors (and exiting) otherwise. When your program is started, parse these parameters with your library and then start the user interface with suitable parameters. For example, the program should read the cards from the file provided as command line argument and should flip the cards when –invertCards is provided. You should make your RecentMistakesFirstSorter from Task 1 available through this command line interface (this corresponds to the “recent-mistakes-first” option).

    If the program is called with the –help option, it should display a message similar to the one above and exit the program. It does not have to be exactly the same as the one we provide, but you should strive for something similar. A line at the top showing the usage of the command and listing all of the options with what they do is sufficient. You should look at the documentation for the library you choose to use as many provide functionality that helps you achieve this.

    Any combination of the options should be able to be applied at the same time; however, passing the –help flag with any other options should just display the help message and exit. Again, the library you use may provide you with a way to implement this functionality.

    All of these options can be configured using the existing codebase, meaning you do not need to add any new functionality to the program. Rather, the only changes you need to make are to the program’s dependencies and to its entry point, so that it functions as a command-line interface described above. All of your code for this task will most likely be within Main.java .

    You are free to use any open source library available on Maven Central for this project. There are many many choices with different levels of quality and documentation (e.g., , ), explore them and pick one. Note, support and ease of use may be an important factor in choosing a library — explore alternatives if a library is confusing, too complex, poorly documented, or uses language features you do not understand.

    Infrastructure and quality requirements.

    Push all your code to GitHub using good practices (e.g., cohesive commits, descriptive commit messages).

    Your code should compile and pass automated checks when executed with the build tool (mvn site). Your code should automatically be executed on , a continuous integration service. Your build should succeed on GitHub Actions, however, GitHub Actions is not configured as an auto-grader for this assignment and does not perform any tests. Passing GitHub Actions is just a minimum bar, not a sufficient condition for completing the homework. You can find the results of the automated checks in the Actions tab of your GitHub repository.

    Follow good design practices as discussed: Hide information where appropriate. Program against interfaces, not against classes.

    For all new code that you write, follow the style guidelines of the language you are working in (). We have installed tools (CheckStyle) that will automatically check conformance to many style guidelines in your repository.

    If you add libraries, add them as maven dependencies. Do not copy library code into the repository.

    Hints.

    You may review example modules and repositories available at for additional reference and study material.

    The first labs cover some basics and best practices of working with Git and provides guidance on how to set up your development environment. The second lecture covers basic design principles for object-oriented design, especially encapsulation. The subsequent readings provides pointers to relevant language concepts, but you will probably need to engage with language documentation beyond the presented basic concepts yourself (for example, the provided code uses recent Java features)

    Descriptive commit messages are those where an experienced developer would be able infer what the scope of your changes is from just reading the commit message. Your commit messages do not necessarily need to explicity refer to files changed. They should describe the changes your commit will make in an imperative present tense sentence. Here are a few examples of descriptive commit messages: “Implement recent mistakes first sorter”, “Fix CLI incorrectly handling repetitions”, “Add documentation for recent mistakes first sorter”. Avoid commit messages like “Finish Java” or “Add comments” as they don’t have enough detail for someone to understand what exactly is being changed.

    In order to keep runtime minimum for the automated checks, all GitHub Action checks are run with a timeout of 2 minutes, which should be plenty of time to run the checks for this assignment. If you do run into an issue where your build fails and you think it was an internal GitHub issue with running the automated checks, you can manually rerun that test. If you go to the Actions tab of your GitHub repository and click the failed build, at the top right you should see a button that says Re-run all jobs. Clicking that will rerun the test. If you still get a timeout issue even after this, try waiting a bit (maybe 15 minutes or so) then rerun again, or come to office hours.

    Submitting your work

    Find your assigned group on Canvas. Always push all code to GitHub. We will look in all peoples contributions in grading. Once you have pushed your final code there and are done with the assignment, you should submit a link to your final commit on Canvas. You can get to this link easily when you click on the last commit (above the list of files) in the GitHub web interface. Paste this link into the text box on the assignment submission page located on Canvas and click submit.

    Evaluation

    The assignment is worth 100 points. We will grade the assignment with this rubric:

    New card organizer (35pt):

    • 20 pts Correctly implements RecentMistakesFirstSorter exactly as specified
    • 5 pts Proper JavaDoc documentation for new classes and methods
    • 10 pts Good design: encapsulation, programs against interfaces, no unnecessary exposure of implementation details

    Command-line processing (40pt):

    • 10 pts Uses an external library from Maven Central (e.g., Apache Commons CLI)
    • 15 pts Correctly parses and validates: — cards file –order –repetitions –invertCards –rejects invalid inputs with clear errors
    • 15 pts Correct program behavior: — Loads correct file — Applies selected ordering — Applies repetitions — Flips cards when requested — Displays help and exits properly

    Infrastructure code and quality (25pt):

    • 5 pts Submission link is correct and points to a specific commit
    • 5 pts Java build passes on GitHub Actions
    • 5 pts Cohesive commits with descriptive commit messages
    • 5 pts Follows Java style guidelines (CheckStyle compliant)
    • 5 pts Clean, concise implementation (no dead code, no unnecessary variables)

      implement recentmistake.java

  • easy computer science homework

    easy computer science homework

  • Business Intelligence for Information Technology

      • How has the evolution from data information knowledge intelligence shaped BI today?
      • In what ways can consensus models help resolve conflicting business decisions?
  • UTA Report 1

    “I need a User Task Analysis report. Here is the specific workflow I need you to follow:”

    1. Pick a Goal: Choose one specific task on [Name of Website]. (Example: “Successfully sign up for a newsletter.”)
    2. Run 5 Tests: Find 5 people who have never used this site before.
    3. Use a Script: Don’t help them. Just read a standard intro, tell them to “think out loud,” and watch where they get stuck.
    4. The “Roles”: You need to act as the moderator and the observer. I need notes on:
    • How many times they clicked.
    • How long it took.
    • What their face looked like (were they confused, annoyed, or happy?).
    • What they said when they got stuck.
    1. Deliverables (Report 1): I need a document that includes:
    • A description of the test.
    • The script you used.
    • A summary of what you saw.
    • The Appendix: Signed permission forms from the 5 people and a chart of the data (clicks/time).

    Why this is helpful for you:

    If you give them these bullet points, they can’t just give you a generic “review” of the website. They have to actually do the research with real people, which is what the instructions you sent are looking for.

    CHECK THE ATTACHED FILES PLEASEEEEE !!!!! Make sure you read it all also i added a video to help with it all

  • Google collab python assignment

    ## Homework 2 – MAT 301 ### Homework Instructions: – Please follow the problem instructions as closely as possible, including naming variables exactly as specified. – Ensure that your notebook runs **without errors**. I will execute all cells sequentially, and a failure in one cell may prevent subsequent code from running correctly. If you encounter issues, feel free to reach out to me or visit tutoring for assistance. – This assignment is expected to be completed **independently**. Academic integrity is important , using AI tools without understanding the material will be evident in your work and may result in academic consequences. You may use AI tools **only to support your understanding** of course content, not to complete the assignment for you. ### Submission Instructions: – Please submit the link to your completed notebook in blackboard. Ensure that the sharing settings are set to “Anyone with the link” and that the link provides editor access. This will allow me to make any minor adjustments to the code if necessary and run it directly.
  • Proof of concept Report

    Attached Files (PDF/DOCX): Proof-of-ConceptReportTemplate.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • IOT scopus journal article writing

    title : Evolution of Quantum-Resilient Secure IoT Frameworks for Future Defense Communication and Cyber Warfare Protection

    template can be downloaded from guidelines pdf attached (search template and download )