Monthly Archives: February 2024

Assignment 1:

Compare and contrast predictive analytics with prescriptive and descriptive analytics.

Refer to Chapter 1 and 2 in the textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment.****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Double Spaced and APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 2:

Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.

Refer to Chapter 1 and 2 in the textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment.****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Double Spaced and APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 3:

Which software-development methodology would be best if an organization needed to develop a software tool for a small group of users in the marketing department? Why? Which implementation methodology should they use? Why?

Requirement:

****Separate document for each assignment.****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Double Spaced and APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

For this assignment, you will need the following: Ubuntu and VirtualBox.

Ubuntu can be downloaded at https://www.ubuntu.com/download/desktop.

VirtualBox can be downloaded at https://www.virtualbox.org/wiki/Downloads.

Next, create a virtual machine or instance in virtual box and load the Ubuntu desktop software on it. You may need to do additional research to get Ubuntu loaded on the virtual machine . Next, watch the video about installing a LAMP server; install the LAMP server on your Ubuntu virtual machine. 

Use screencast-o-matic to document this assignment. Submit link to video on iLearn.

 Project Description  

 –  Learn one state of the art multivariate analysis method 

        • NMF, PCA, ICA, NN, CNN, etc. 

 –  Apply matrix analysis and numerical computation on real world data sets 

        • image, video, audio, social media, sensory signals, etc. 

Project Topics 

 – Given topics 

    • Numerical computing in econometrics             • Applications of the SVD 

    • Multi-level non-negative matrix factorization    • Multi-view non-negative matrix factorization                   

    • Advanced principal component analysis          • Binary independent component analysis 

     • 1D convolutional neural networks                    • Survey of automatic rank determination in non-                   negative matrix factorization 

– Free optional topics 

  • You can also search and select a topic other than above given topics as your final project. But your topic should be related to matrix, multivariate analysis and numerical computation. Please send me your topic for approval in advance if you choose a free optional topic. 

Project Deliveries 

   – Project proposal (template will be given) 

         • Topic, method, application, novelty 

         • Novelty (new investigation, new trials, new idea, new design, technology improvement) 

 – Presentation (10m presentation) 

– Project report 

        •Experiment and discussions 

        • Findings and conclusions 

        • In paper format (template will be given) 

         • Good quality project reports will be refined and polished by Dr. Sun and submitted for publication • https://cscsu-conference.github.io/ 

PS.  Paper types file is the guide line for this project.

        Proposal template have to be used for the project proposal. 

        Lab report template has to be used for the lab report. 

        There are explanations for .zip files in the Paper types file.

Ps. LATEX compiler and Editor Link

       MiKTex  ::  https://miktex.org/download 

       Texmaker :: https://www.xm1math.net/texmaker/download.html

A small airline company needs a program to compute baggage charges. Write a program that asks the user to enter the weight of a passenger’s baggage. The program should display the baggage charge, which is calculated as follows. If the baggage weight is 50 pounds or less, the program should display “No Charge”. If the baggage weight is greater than 50 pounds, the baggage charge is $5.00 plus $0.95 for each pound over 50.

Provide a reflection of at least 500 words (or 2 pages double-spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not current working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.   

Information security and risk management

3pages essay Apa style due by tomorrow

 You should be REPORTING EVIDENCE and EXAMPLES from what you read. Find, Read, and Share – THREE related sources of information 

Report – Three things about the topic that you want to remember forever

1. Identify the topic for this week.
2. Find three high-quality sources of related information on the Internet. 
3. Read your chosen high-quality sources of related information.
4. state your three sources of information.
5. DESCRIBE each of the three sources of information within a few sentences providing EXAMPLES.
6. SUMMARIZE with three things about the topic that you want to remember forever.

Explain the impact of private equity firm acquisition of manufacturing and retail firms. 

minimum 250 words APA format with references 

Do you believe Artificial Intelligence or Machine Learning is the future of cybersecurity? Explain why or why not. 300 words

evaluate the history of the Data Encryption Standard (DES) and then how it has  transformed cryptography with the advancement of triple DES. You must use at least one scholarly resource.  Every discussion posting must be properly APA formatted.

Use the textbook for added reference