Network Design

 

You work as a network consultant for West Consulting, a graphic design and printing company. West Consulting is growing in customer and sales volume and, therefore, is expanding its local campus in Houston, Texas, and adding a test location in China.

You are tasked with designing a network to support their growth and expansion plan and drafting a proposal. You will work on this project over the next five weeks. The first task is to confirm your understanding of the project and outline your high-level plan to approach the design.

Refer to the West Consulting Network Design Summary document, which lists the network requirements and configuration details.

Create a Customer Design Summary that includes the following: 

  • Project Summary
  • A description of the organization, the business environment, and the project purpose
  • Design Requirements
  • Desired functional network requirements, any technical constraints, and network performance or design goals
  • Existing High-Level Network Infrastructure Survey
  • Include logical topology diagrams (layer 3) and physical network diagrams of current infrastructure and routing.
  • Implementation Plan
  • Description of a high-level network upgrade plan based on Cisco’s network design lifecycle principles and an explanation of how your plan addresses West Consulting’s goals and strategies

Diagram your current network survey in Microsoft® Visio®.

Document the remainder of your Customer Design Summary as either a:

  • 2- to 3-page Microsoft® Word document
  • 10-slide Microsoft® PowerPoint® presentation with detailed speaker notes

Data gathering instrument

 Task: Create one (1) instrument that could be used to gather data for your mock dissertation topic. The instrument should be designed to be exactly how it would be deployed to collect data. Since instrumentation usually goes through several steps of field testing, for purposes of this assignment you can submit a deployment-ready draft of your instrument without field testing it. Be sure the instrument collects data appropriately to measure your research question.  If your study will not use an instrument to collect data because your data is archival and already exists, you will discuss your process for data retrieval.

Some examples in below link

  

Weekly Assignment

In this module, we will discuss network forensics. We move away from cellular/smartphone discovery and look at wired and wireless investigation. We will use the European Union Agency for Cybersecurity’s Introduction to Network Forensics guide. The document is available at:

https://www.enisa.europa.eu/topics/trainings-for-cybersecurity-specialists/online-training-material/documents/introduction-to-network-forensics-handbook.pdf

For the discussion, answer the following questions:

1) What types of network investigations are typical of those that fall under the topic of network forsensics?

2) How is information acquired from the various types of networks?

3) Describe several tools for network forensics and how the tools function? 

Your response to the DQ must be a minimum of 400 words. You must provide references for your response (APA format). You will need to reply to two (2) other fellow student’s posts (See the syllabus). The responses must be made in the week due.

Search the UC Library and/or Google Scholar for a “Fortune 1000” company that has been successful in integrating Big Data Analytics with their Business Intelligence?

 

This week’s article provided a case study approach which highlights  how businesses have integrated Big Data Analytics with their  Business Intelligence to gain dominance within their respective  industry.  Search the UC Library and/or Google Scholar for a “Fortune  1000” company that has been successful in this integration. Discuss the  company, its approach to big data analytics with business  intelligence, what they are doing right, what they are doing wrong, and  how they can improve to be more successful in the implementation and  maintenance of big data analytics with business intelligence. 

Your paper should meet the following requirements:

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at  least two scholarly journal articles to support your positions, claims,  and observations, in addition to your textbook. The UC Library is a  great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent  grammar and style techniques. You are being graded in part on the  quality of your writing.

Reading Assignments

 

Big Data Visualization: Allotting by R and Python with GUI Tools. (2018). 2018  International Conference on Smart Computing and Electronic Enterprise  (ICSCEE), Smart Computing and Electronic Enterprise (ICSCEE), 1https://doi.org/10.1109/ICSCEE.2018.8538413

Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability 2018, 10(10), 3778; https://doi.org/10.3390/su10103778

R language Assignment and discussion

 

Assignment:

Now that you have R installed on your computer, you will begin to get some experience (hands-on) with the software. For this assignment, you are exposed to just 4 features of R: Arithmetic Operations; Operations on vectors; the Recycle Rule for adding/subtracting vectors; and Creating a S3 Class Object. A separate screen shot is required for execution of each feature. Open R (either command line or RStudio). Enter code that will handle the following (show all code, comment for each code line and the computed results in your screen shots). These are instructions; do NOT just write the instructions – actually show this within R and capture a readable screen shot to show that it works properly!!

Screen shot 1: Arithmetic Operations

assign a value of 144 to x

assign a value of 6 to y

add x and y

subtract y from x

multiply x times y

divide x by y

find the square root of x

Screen shot 2: Operations on vectors

create a vector (afc) and assign values 2,6,3

create a vector (nfc) and assign values 6,4,2

add afc and nfc

Screen shot 3: Recycle Rule for adding and subtracting vectors

assign values 2,1,8,3 to vector x

assign values 9,4 to vector y

add x to y

notice the warning message – use the Recycle Rule for adding vectors; then

add x to y and show results

subtract 1 from x – apply the Recycle Rule for subtracting vectors; then

subtract y from x and show results

Screen shot 4: Create an S3 Class Object

create a list – with components: name = Your name, date = today’s date, and score = score you desire on Assignment 2.

name the class as “graduate student”

Save the screen shots as a MS Word document (*.docx).

Discussion:

Why are statistical programming languages important to data scientists? What are some advantages and disadvantages the R programming language has over the other main statistical

programming languages (i.e. Python, SAS, SQL)?

When replying to a classmate, offer your opinion on what they posted comparing the R programming language to the other statistical programming languages. Using at least 3 – 5 sentences,

explain why you agreed or disagreed with their evaluation of the different statistical programming languages.

Requirements: as per question