Inferential Statistics

  

In this report paper, you will explore in detail one of the statistical learning techniques or data mining (if you have the background) approaches to research discussed in the course, applying it in the context of a specific application or methodological study. This will help you gain a deeper understanding of your chosen topic as well as gain experience in translating these ideas into practice. 

Find a data set, generate your topic based on the type of dataset and what questions you want to answer from the dataset. The following task need to be performed:

  • Data      Selection (Check the lecture slides for the online data set resources).
  • Data      Exploration and visualization
  • Data      Analysis (Explain the Statistical methods you used in the project)
  • Discussion and Summarization of      the work and results

Your report is base on the hands-on project.

Note: Use MS Excel or SPSS or WEKA

Intro to Data mining

 Answer the following questions. Please ensure to use the Author, YYYY APA citations with any content brought into the assignment.  

For sparse data, discuss why considering only the presence of non-zero values might give a more accurate view of the objects than considering the actual magnitudes of values. When would such an approach not be desirable?

Describe the change in the time complexity of K-means as the number of clusters to be found increases.

Discuss the advantages and disadvantages of treating clustering as an optimization problem. Among other factors, consider efficiency, non-determinism, and whether an optimization-based approach captures all types of clusterings that are of interest.

What is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means?

Explain the difference between likelihood and probability.

Give an example of a set of clusters in which merging based on the closeness of clusters leads to a more natural set of clusters than merging based on the strength of connection (interconnectedness) of clusters.

Executive Program Practical Connection Assignment

 

At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career. 

Assignment: 
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 currently 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. 

Requirements:

  • Provide a 500 word (or 2 pages double spaced) minimum reflection.
  • Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
  • Share a personal connection that identifies specific knowledge and theories from this course.
  • Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 
  • You should not, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. 
  • Any use of outside sources, including your own prior work, will result in a zero on the activity and a report being filed with Academic Affairs regarding plagiarism (even if self-plagiarism). 

Course Name:   Enterprise Risk Management 

Organ Leader and decision making PHDIT

 

This week’s journal article was focused on the Complexity of Information Systems Research in the Digital World.  Complexity is increasing as new technologies are emerging every day.  This complexity impacts human experiences.  Organizations are turning to digitally enabled solutions to assist with the emergence of digitalization. 

Please review the article and define the various technologies that are emerging as noted in the article.  Note how these emerging technologies are impacting organizations and what organizations can to do to reduce the burden of digitalization.

Be sure to use the UC Library for scholarly research. Google Scholar is also a great source for research.  Please be sure that journal articles are peer-reviewed and are published within the last five years.

The paper should meet the following requirements:

  • 3-5 pages in length (not including title page or references)
  • APA guidelines must be followed.  The paper must include a cover page, an introduction, a body with fully developed content, and a conclusion.
  • A minimum of five peer-reviewed journal articles.

The writing should be clear and concise.  Headings should be used to transition thoughts.  Don’t forget that the grade also includes the quality of writing.

DATABASE

   

                        1.5 Marks
                Learning     Outcome(s):
Create entity-relationship     model, relational model, and write SQL queries
 
 
 
 
 
 
      Question One

Consider the below schema for a library database and write relational algebra expressions for the following queries  

  

   

1. Author ( authorname, citizenship, birthyear) 

2. Book (isbn, title, authorname)

3. Topic (isbn, subject)

4. Branch (libname, city)

5. Instock (isbn, libname, quantity)

1. Give all authors’ names born after 1940. [0.25 Point]

2. Give the names of libraries in Sydney. [0.25 Point]

3. Give the city/cities and “isbn” where each book is held.    [0.25 Point]

4. Give the title of each book on the topic of either alcohol or drugs. [0.25 Point]

5. Give the title and author of each book of which at least two copies are held in a branch located in Melbourne.  [0.50 Point]

   

                        1 Mark
                Learning     Outcome(s):
Explain database concepts,     systems, and architectures
 
 
 
 
 
      Question Two

What is the different between the database schema and the database instance? Give an example for each.

   

                        1 Mark
                Learning     Outcome(s):
Design a database starting from     the conceptual design to the implementation of database schemas
 
 
 
 
 
      Question Three

Name at least three tables that might be used to store information in the following systems:

a. An e-commerce system such as Amazon.  [0.25 Point]

b. A social media system such as Twitter.    [0.25 Point]

c. A health care system. [0.25 Point]

d. A university system. [0.25 Point]

   

                        1.5 Marks
                Learning     Outcome(s):
Create entity-relationship     model, relational model, and write SQL queries
 
 
 
 
      Question Four

Given the relation below named Contact_Info, answer the following questions:

  

SSN

Name

Phone

Email

Age

 

234-356

Sara Fahad

340-675-9876

[email protected]

22

 

673-980

Mohammad Ahmed

234-896-2567

[email protected]

28

 

129-678

Waad Saud

280-986-8736

[email protected]

31

a. What is the relational schema of the relation Contact_Info?  [0.25 Point]

 

b. What is the degree of the giving relation? [0.25 Point]

 

c. Is the column Name an atomic attribute/value? If no, justify your answer? [0.25 Point]

d. What are the outputs of the given operations?  

1.                      (Contact_Info)  [0.50 Point]

2.   (Contact_Info)   [0.25 Point]

Public Key Infrastructure (PKI)

 1 page

  • The HU corporation has heard about the management of a Public Key Infrastructure (PKI).  Provide the recommended version of Public Key Infrastructure (PKI) that you believe would be a good fit for the corporation and justify your recommendation.
  • Based on the research of Public Key Infrastructure how is PKI typically managed by the HU Investment Firm?
  • Can this management be out-sourced and if so, what is the associated cost based on your research?

Building an AI machine/Deep learning application

Part 1 –

Following is the link of the Project 

1. Iris Data Set

24 Ultimate Data Science (Machine Learning) Projects to Boost Your Knowledge and Skills (& Can be Accessed Freely)

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide output for the following:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Part 2 – Updated Code…

Now that you have a working base of code, let’s apply it to a “real world” scenario…

Find an article or video that shows a potentially SIMILAR usage of the application you created in Part 1…

Update the original application so that it “works” for the NEW application…

In this “Movie Recommendation” project, you might find an article on “book recommendations” …you would then update the original program to handle the new scenario…

YOU MUST UPDATE THE ORIGINAL CODE…do not provide entirely new code base.

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide the same output for THIS application, as you did for the ORIGINAL application…specifically:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…