Category: Computer Science

check the files and I will sent you to login my canvas so you can see

Important note: I need original work i don’t need work like others please work based on the instructions please, you will need multiple things please don’t forget any step, work on it step by step. Read the instructions below.

1. Create a sample document representing a hotel reservation record in a hotel reservation system. This document should be stored in a NoSQL database like MongoDB. It should include the following fields: reservationID, guestName, guestContact (containing address, phoneNumber, and email), roomDetails (containing roomNumber, roomType, and pricePerNight), checkInDate (YYYY-MM-DD format), checkOutDate(YYYY-MM-DD format), numberOfGuests, servicesRequested (an array such as breakfast, airport pickup, spa, etc.), paymentDetails (containing paymentMethod, totalAmount, and paymentStatus), feedbackRatings (an array containing rating and comment), loyaltyProgram (containing membershipID and membershipLevel), stayHistory (an array containing previous hotel branch visited and visitDate, such as Dubai Marina Branch, Abu Dhabi Downtown Branch, etc.) and reservationStatus (confirmed, cancelled, completed).
2. Write MongoDB commands to:

a. Create a database named hotel_management_system.

b. Create a collection named reservations.

c. Insert the reservation document you created into the reservations collection.

d. Insert 9 other reservation documents into the reservations collection. (When creating the reservation documents, ensure that the data values are chosen carefully so that all the queries in Question 2 can be demonstrated and tested successfully.)

e. Retrieve the information of all reservations.

f. Retrieve all reservations where the room type is “Suite” and the paymentStatus is “Completed”.

g. Retrieve all reservations where the servicesRequested array contains “spa”.

h. Retrieve all guests who have given a rating greater than 4 in feedbackRatings.

i. Update the membershipLevel of a guest with a specific reservationID to “Gold”.

j. Use an aggregation pipeline to calculate the total revenue generated by each roomType.

k. Use an aggregation pipeline to find the average feedback rating for each roomType.

l. Retrieve reservations where the stayHistory array contains visits to “Dubai Marina Branch”.

m. Use aggregation to find the number of reservations made for each membershipLevel.

n. Delete all reservations where the reservationStatus is “cancelled” and checkOutDate is before 2023-01-01.

o. Using an aggregation pipeline find the total number of services requested for each service type (e.g., breakfast, spa, airport pickup) across all reservations.

1. Using the pandas library in Python, write code to:

a. Load the heart.csv dataset from ().

b. Explore the dataset using head(), info(), and describe().

c. Identify all the features that have missing values. (Print the missing data before handling).

d. Handle missing values in at least one column. (Print the missing data after handling)

e. Create an age_group feature based on existing features in the dataset.

f. Visualize the distribution of numerical features using histograms or box plots. Explain your interpretation of the data distribution from the histogram/box plot. Are there any outliers? If so, what might be the reason for their presence?

g. Visualize the relationship between two numerical variables (e.g. age and chol) using a scatter plot. What type of relationship and correlation do you observe between the variables?

h. Create violin plots for cp (chest pain type) vs thalach (max heart rate achieved). Determine the shape of the distributions and compare them across chest pain types.

i. Create a heatmap showing correlations between numerical features. Identify the strongest positive, the strongest negative, and the weak correlations. What can you conclude about the relationships between these features?

j. Select appropriate numerical features to compare multiple variables using a pair plot. Visualize the relationships between these features and analyze the patterns. Summarize key insights gained from the pair plot regarding the dataset.

1. Explore the UCI dataset on student performance (student-mat.csv) and examine the features in the dataset. The dataset can be obtained from the following link. (). Analyze how studytime and absences impact the final grade G3.

a. Based on your understanding of regression, which variable would be the predictor (independent variable) and which would be the response (dependent variable)? Why?

b. Create a scatter plot with studytimeon the x-axis and G3 on the y-axis. Describe the direction, form, and strength of the relationship you observe. Evaluate whether a simple linear regression model is appropriate for this data. Justify your reasoning.

c. Discuss how the failuresand** age **might influence G3. Should these features be included in a multiple regression model? Justify your reasoning.

1. Load the California Housing dataset from sklearn. Explore the features in the dataset and analyze how MedInc,** HouseAge**, and AveRooms influence Median House Value (target).

a. Based on your understanding of regression, which variable would be the predictor (independent variable) and which would be the response (dependent variable)? Why?

b. Create a scatter plot with MedInc (Median Income) on the x-axis and Median House Value on the y-axis. Analyze the direction, form and strength of the relationship. Assess whether a simple linear regression model would be a suitable fit for this data. If suitable, analyze its fit and evaluate how well the model predicts Median House Value.

c. Discuss how HouseAge and AveRoomsmight influence Median House Value. Should these features be included in the regression model to enhance prediction accuracy? Justify your reasoning based on the relationships between the variables and the target variable.

Submission Guidelines

Your primary submission must be a PDF report that includes answers to all the questions. The report should present your analysis and results in a well-organized manner.

Tasks 1 and 2 must be completed using MongoDB, and the corresponding JSON file should be submitted as part of your secondary submission.

Tasks 35 should be completed in a single Google Colab notebook. Include the link to the Google Colab workbook in your PDF report.

Your report must include:

Screenshots showing the queries and the results of the execution of every MongoDB operation performed in Tasks 1 and 2. Each screenshot should demonstrate the command executed and the corresponding results to validate your work. (Ensure that the submitted screenshots are clearly visible.)

Appropriate code snippets, tables, charts, and graphs (where applicable) to clearly illustrate and support your analysis and findings. You are required to interpret all the findings and gain meaningful insights using the data analysis techniques. Ensure that each visual or snippet is properly labelled and referenced in your explanations.

Explanations of the results obtained from the queries and data analysis.

Basically, we need to:

• Create a Blueprint
• Add a Resource Group named: rg-[my last name]-prod (use my last name, not yours)
• Upload the vnet.json file to create a VNet with 3 subnets (web, app, db)

At the end, we just need a screenshot that shows:

• The Blueprint
• The Resource Group
• The VNet with the subnets

Make sure everything uses my name correctly.

If you can help me do it or show me how, Id really appreciate it

So the topic is “How can you debug an application that crashes on a remote computer?“

1. Have to make a presentation about 10 min about this topic

2. Need A nice and creative PPT for 10 minutes and a 10-minute presentation script

3. No AI and use our own words to describe.

4. This is a software engineer class for computer science, and again plz use our own words, not sound like AI.

The most essential, yet problematic, element for IT professionals is communication. The most effective IT executives are those who can communicate technological solutions to a non-technical audience. Writing a technical paper is a great thing, but it’s of little value to those who do the funding.

For this assignment, create infographics for Deliverables 1-4 to complement the written papers. The infographic for each deliverable must be no more than one page. Each infographic should be thorough, with enough detail to be informative, but not as detailed as a PowerPoint presentation. You should submit one infographic document that is 4 pages in length.

attached , ppt, report

topic is , Cyber World Ethics – Games: Analyze the ethical implications of video games, including

issues related to violence, addiction, and virtual economies. ..

All detiles inside files

AI policy for this assignment:

Using your preferred Generative AI tool (ChatGPT, CoPilot, Meta AI, etc.), summarize the provided PDF article What Role Should Business Play in Society? (Mazzucato, 2022). Challenge the AI tool to provide additional analysis on at least three of the findings using two of your own drill-down prompt questions per finding. In other words, your final report should include analysis on at least three of the report summary findings with at least two AI prompts per finding that generate additional insights. Finally, write your own final paragraph indicating which of the authors suggestions from the article you agree or disagree with and why.

Step-by-step instructions:

• Using ChatGPT or similar tool, upload the provided PDF article for analysis. Prompt ChatGPT with a direction such as Please summarize the most important points from the attached article. Students are encouraged to use their own variations for this and other prompts.

• Once the results are presented, choose at least three of the articles findings and ask the AI tool to provide further analysis using at least two of your own prompts per finding. There should be at least 7 different prompts used during this process (the initial, and two additional unique prompts per finding after the initial). Make sure to include the prompt questions or directions you used in your final paper and highlight each prompt question in yellow.
• To practice good sourcing that leads to credible findings and analysis, make sure to request that the AI tool provide all references in APA format and include those citations in your paper.
  • Asking for sources/references alone will not be considered as further analysis and/or a valid standalone prompt: your questions need to ask for an analysis and/or include more detail in your ask–you should provide more than just a reference list.
• Based on the results provided by your AI tool, write your own final paragraph consisting of a minimum of 100 words indicating which of the authors suggestions from the article you personally agree or disagree with and why. This paragraph should be written from your point of view and not just from AI output.
• Your final project should look more like a movie script and less like a typical paper.
• The entire conversation with AI should be uploaded.
• Be sure to list which AI platform you used.
• Upload your final paper in PDF or Microsoft Word file format in Brightspace.

Grading Rubric

Plan Section	Completion Available Points
AI Prompts	10 Initial AI prompt and two unique subsequent follow-up AI prompts for at least three of the reports summary findings are relevant and included. 5- Two summary findings are explored and/or less than two follow-up AI prompts are included; OR some provided prompts are not relevant to the select summary findings. 0 Missing AI prompts or prompts that are completely unrelated to the articles key points.
Personal Perspective Paragraph	10 Summary perspective was shared via a minimum 100-word paragraph with personal opinions/insights provided by the student. 5- Summary perspective was shared but unrelated to the insights provided by the article or AI analysis, OR less than 100-word minimum. 0 Missing personal perspective paragraph or paragraph missing a personal perspective.
APA References	10 APA citations provided when third-party source were referenced. 5- Some missing APA citations. 0 No APA citations provided.

AI & The Writing Center: The Online Writing Center is committed to helping students become better writers. While we are aware of AIs use in the writing process, we want to be clear that we will not provide certain types of feedback on content clearly generated by AI. In situations where this is required for an assignment, we will only review an AI-generated essay for documentation (APA, MLA, or Chicago). Students are encouraged to submit their own writing, no matter how rough the draft, instead of drafts generated by AI or Large Language Model. Students must engage actively in the writing process before seeking feedback.

Assignment Details

Unit 7 – Discussion Board (75 points)

Due: Thu, Apr 2 |

Description

Primary Response is due by Thursday (11:59:59pm Central), Peer Responses are due by Saturday (11:59:59pm Central).

Primary Response: Within the Discussion Board area, write 500700 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.

For this Discussion Board, please complete the following:

Business intelligence (BI) refers to a set of best business practices and software tools to support business decision making under fast changing competitions and growing globalization. The earliest generation of BI systems is called the decision support system (DSS), which consists of a data warehouse system and often an online analytical processing (OLAP) system.

Study the relevant content in the course materials and investigate the Library and Internet for information about the DSS, data warehouse, and OLAP. Then, based on the results of your research, discuss the main difference between a data warehouse system and an OLAP system in the following aspects:

• Suitable applications
• System architecture
• System functions

Determine why a DSS needs both a data warehouse system and OLAP system. In addition, evaluate why a DSS has evolved further in recent years to include more advanced tools in addition to data warehouses and OLAP.

Responses to Other Students:

Respond to at least 2 of your fellow classmates with at least a 200-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:

• How would you justify a different perspective from your classmates on the topic?
• How, additionally, would you defend your classmates position?
• What critique do you offer your classmate in regard to clarity and thoroughness of their post?
• Please address all prompts. When offering counterargument or justification, consider practice, theory, and examples from your own experience, reading, or current events in presenting your position.

For assistance with your assignment, please use your textbook, all course resources, and any external research and resources you have gathered.

Discussion Board Rubric

Expectation	Points Possible	Points Earned	Comments
Application of Learning Material Content: Initial post demonstrates understanding of Learning Material content.	25
Application of Course Knowledge: Initial post contributes unique perspectives or insights gleaned from text/learning resources, or specified by assignment.	25
DB Responses: Responds substantively to two posts. Responses encourage interaction in the Discussion Board and classroom community.	10
Academic Writing: Initial post presents information logically and is clearly relevant to discussion topic. Posts contain accurate grammar, spelling, and/or punctuation with few or no errors. All resources should be cited in current APA format.	15
Total Points	75
Total Points Earned

Assignment Details

Unit 7 – Individual Project (125 points)

Due: Sun, Apr 5 |

Description

Assignment Details:

Supervised learning and unsupervised learning are two machine learning methods that have both been applied by data mining techniques. Study the relevant content in the course materials and investigate the Library and Internet for information about both machine learning methods. Then, based on the results of your research, discuss the following aspects:

• What are 2 or 3 applications suited to each method?
• In your opinion, what is the most important issue related to each method?
• Propose how to address the issues.

Individual Project Rubric

The Individual Project (IP) Grading Rubric is a scoring tool that represents the performance expectations for the IP. This Individual Project Grading Rubric is divided into components that provide a clear description of what should be included within each component of the IP. Its the roadmap that can help you in the development of your IP.

Expectation	Points Possible	Points Earned	Comments
Student provides at least 2 applications suited to supervised and unsupervised learning.	30
Student provides their opinion on the most important issue related to each method.	30
Student provides how to address the issues.	30
Paper contains at least 5 references.	10
Professional Language: Assignment contains accurate grammar, spelling, and/or punctuation with few or no errors. (APA formatting is required or style specified in assignment).	25
Total Points	125
Total Points Earned

• (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed format.
• Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets or languages other than English or any kind of manipulation).
• You are advised to make your work clear and well-presented. This includes filling your information on the cover page.
• You must use this template, failing which will result in zero mark.
• You MUST show all your work, and text must not be converted into an image, unless specified otherwise by the question.
• Late submission will result in ZERO mark.
• The work should be your own, copying from students or other resources will result in ZERO mark.
• Use Times New Roman font for all your answers.

Below, we have provided a suggested format to help you organize your work. Youre welcome to use it or adapt it to your own style just be sure your final submission meets all the requirements in the rubric.

For each assignment, we suggest submitting two files:

Your code file – contains all your work.

Your answers file walks graders through what you did and what you found. For each coding question, include:

Methodology functions used, models implemented, and how the model was evaluated.

Results equations, graphs, tables, and performance metrics

Discussion of Results discuss what your results mean for this dataset. Mention anything surprising, possible reasons for weak performance, ways to improve the model, other analyses worth exploring, and any ethical or legal considerations