Monthly Archives: February 2024

There are TWO tasks that you would need to do( they are separate): 

Task 1 (Minimum 300 words): 

There are three levels of management hierarchy: strategic, managerial and operational.

1. Review at least 4 academically reviewed articles on each management hierarchy. 

2. Summarize all 4 articles in your own words.

3. Discuss how the three levels of management hierarchy: strategic, management, and operational relates to the mission of a business.

4. As an IT professional, how would you use information technology to improve the efficiency of the three levels of management hierarchy?

TASK 2:

Write a reply to the two responses in the attached document ( Response 1 and Response 2) with 150 words for each. 

There should be no plagiarism. Attach a plagiarism report with 0 % similarity index.

 The readings this week expand on investigation and of digital forensic analysis and investigations. Organizations, especially those in the public, health and educational areas are bound by legal and statutory requirements to protect data and private information, therefore digital forensics analysis will be very beneficial when security breaches do occur. Using this weeks readings and your own research, discuss digital forensics and how it could be used in a risk management program 

Assignment 1: 

Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.

Refer to Chapter 3 in the attached textbook:

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

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

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:

What are the privacy issues with data mining? Do you think they are substantiated?

Refer to Chapter 4  in the attached 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.

 1. 500 words:

Chapter 9 Cluster Analysis

Answer the following questions in a point by point fashion.  NOT an essay. Please ensure to use the Author, YYYY APA citations with any content brought into the assignment.  

1. 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 to be desirable?
2. Describe the change in the time complexity of K-means as the number of clusters to be found increases.
3. 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.
4. What is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means?
5. Explain the difference between likelihood and probability.
6. 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 the connection (interconnectedness) of clusters.

Requirement: 

Provide a question and Answer Paper with six (6) Questions specifically answered one after the other 

You must use properly formatted APA in-text citations and scholarly references. NO Copying and Pasting from the Internet or other past student paper. There is no redo for plagiarism. 

2. 250 Words:

Consider the mean of a cluster of objects from a binary transaction data set.

1. What are the minimum and maximum values of the components of the mean?

2. What is the interpretation of components of the cluster mean?

3. Which components most accurately characterize the objects in the cluster?

Please clearly LIST your response out to all THREE (3) questions and ensure to cite the specific article with the binary transaction of data set. I will be examing this for myself and other students should verify this as well. Provide the Author, YYYY  and specific page number, with any content brought into the discussion.

Objective: Web scraping with Python

Grading Procedures: All submission will be checked with a plagiarism software. Submission having more than 70% similarity to any other student submission and/or internet resources will share total points the assignment. For example, 4 submissions having more than 70% similarity will be graded as 100/4 = 25pts, assuming that the program is worth of 100 pts.

Description: The university maintains course schedules at http://appsprod.tamuc.edu/Schedule/Schedule.aspx for different semesters (spring, fall, winter, etc ). You will develop a Python program to dynamically complete certain tasks, such as list, find, sort, and save, in course listings from schedule portal. You will mainly use “request” and “BeautifulSoup” libraries (or similar, see exercise 12.1). The program will operate at different level: Semester and Department.  Your program will be a menu based application. Assume that you project file is myproject.py. Once you run, it will show last 5 semester (fall, spring, summer only, (not winter, may mini))

> python myproject.py
Choose a semester: 1) Sprint 2021   2)Fall 2020  3)Summer II  4)Summer I 5)Spring 2020 
Selection: 2

Here, your program will parse the data from website and show only last (most recent) 5 semesters. User will make selection, then, you will show departments for the selected semester (Fall 2020). Note that selected semester is visible before a “>” sign.

Fall 2020> Select a department:
1) Undeclared
2) Accounting and Finance
3) Art
4) Ag Science & Natural Resources
…
…
30) Social Work
31) Theatre
Q)Go back

Selection: 3

Fall 2020> Art > Select an option:
1) List courses by instruction name
2) List courses by capacity
3) List courses by enrollment size
4) List courses by course prefix
5) Save courses in a csv file
6) Search course by instruction name
7) Search courses by course prefix
Q)Go back
Selection: ??

Here, your program will parse the data from website and show all available department then list of tasks. Q (go back) option will take user to previous level. 

Course listing output should show the following fields. For instance for course listing for “Fall 2020> Computer Science & Info Sys> List the course by prefix ” should show

PrefixID         Sec              Name                                Instructor          Hours   Seats   Enroll.

COSC1301     01      WIntro to CompuLee,                    Kwang                3           35           10     

COSC1436     01      EIntro to Comp Sci & ProgBrown,  Thomas             4           40            36  

COSC1436     01L    Intro to Comp Sci & ProgBrown,       Thomas                         40            36

COSC1436     01W     Intro to Comp Sci & ProgHu,             Kaoning           4           45            43

COSC1436     02E      Intro to Comp Sci & ProgHu,              Kaoning           4           35            32

as first 5 rows.

You will follow above headers and order (prefix (col. width 6), ID (5), Sec (5) ,Name (25), Inst (20), Hours (5), Seats (5), Enroll. (7) ) for other listing selections too. Data cell should be aligned with column header and left justified. A course name should not have a word more than 5 chars. For instance Algorithms should be abbreviated as “Algor”. The length of course name will not exceed 25 chars. In option 5, the above format should be used to save a listing to a file as .csv format. User will be able to provide a filename for csv file.

For this program you need to develop at least one class (chapter 10) with (possible) many methods.

system restoration procedure

• APA format; 

1) Explain the use of a Flasher Box

2) Why would the investigator be considered with EEPROM?

3) Explain the important points in evaluating dates and times on a device?

· No Plagiarism 

· Each Answer Should be 350 words without References.

  !!! NEED 2  ANSWERS FOR THIS QUESTION WITH 0% PLAGIARISM !!!!

Discuss in 500 words or more best practices for incident response in the cloud. Refer to at least one incidence response framework.

Assignment Content

1. Based on your previous work in the previous weeks, create a 700-word entry in your Database Management Plan.

   Consider the previous week’s creation of standards for database administration and explain the following in your entry:  

   • How performance will be monitored and tuned 
   • How backups will happen 
   • How data quality will be monitored and improved 
   • How information should be secured, etc.  
   • How all of the standards are important to the business from a user perspective
   • Also, include the following from this week’s learning: 
   • Explanations of how individual team roles will need to contribute to managing historical data via data warehouses and data marts
   • Recommendations of techniques for designing an effective data warehouse
   • Submit your assignment.