Chapter 5: Conclusions  

·  Conclusions – Clearly state the conclusions of the study based on the analysis performed and results achieved. Indicate by the evidence or logical development the extent to which the specified objectives have been accomplished. If the research has been guided by hypotheses, make a statement as to whether the data supported or rejected these hypotheses. Discuss alternative explanations for the findings, if appropriate. Delineate strengths, weaknesses, and limitations of the study.

·  Implications – Discuss the impact of the work on the field of study and its contributions to knowledge and professional practice. Discuss implications for future research.

·  Recommendations – Present recommendations for future research or for changes in research methods or theoretical concepts. As appropriate, present recommendations for changes in academic practice, professional practice, or organizational procedures, practices, and behavior.

 

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Instructions

Researchers often make useful datasets available to other researchers through publications at leading conferences. One of these conferences is Mining Software Repositories (MSR), which has a data track. Since this is a well-regarded, peer-reviewed conference, you can be confident that the provided data set is of research quality. Your first step in this assignment is to select a dataset which you would like to run your knowledge management tool against, and decide on the information you would like to procure from this dataset. You may choose a dataset published at any MSR conference held in the last five years. While you are not expected to make any profound research discoveries through this analysis, you are expected to (re)produce interesting results.

You will then document your results and address the following areas:

  • What steps did you go through to implement the tool on the dataset? (include screenshots in an appendix)
  • What issues did you encounter when applying this tool do the dataset?
  • Did your results match the original authors? If not, explain any variance.
  • What gap in knowledge management does this solve?
  • What future research does this enable? Where could it be useful?

Length: 5 – 7 pages, not including title page and references

Your assignment should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your report should reflect graduate-level writing and APA standards. 

 

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For this assignment, you will design a basic human resources database for a fictional software company.

Scenario:

You are a freelance database designer who has just been contacted by a small software development company named Altair Software. The president of the company has asked you to create a database that will house employee information. The company currently has eight employees and comprises one president, two vice presidents, three programmers, and two sales representatives. The company wants you to create a scalable database that will grow as the company grows. They want to store the following information within the database:

  Information Required Maximum Value   Employee ID 6 integers   Employee Last Name 30 characters   Employee First Name 30 characters   Street Address 60 characters   City 30 characters   State 2 characters   ZIP Code 5 integers   Department 30 characters   Manager 60 characters   Position 30 characters   Salary 8 integers    

The president of the company has given you a document that contains all of the above information for each employee. Click here to view the document having employee information.

Tasks:

You need to create and submit spreadsheets in Microsoft Excel that accomplish the following:

  1. Display a database table in first normal form that will store all of the information listed above. Identify a field or fields to act as the primary key by bolding that field name. Enter all of the provided information into the table in the spreadsheet. Save your spreadsheet as M3_A2_Lastname_Firstname_FirstNormalForm.xls.
     
  2. Decompose the table you created in Step 1 to second normal form. Place each table in its own sheet within the spreadsheet. Identify a field or fields to act as the primary key in each table by bolding that field name. You may insert a new field to act as the primary key if you feel it is warranted. Enter all of the provided information into the appropriate table in the spreadsheet. Save your spreadsheet as M3_A2_Lastname_Firstname_SecondNormalForm.xls.
     
  3. Decompose the table or tables you created in Step 2 to third normal form. Place each table in its own sheet within the spreadsheet. Identify a field or fields to act as the primary key in each table by bolding that field name. You may insert a new field to act as the primary key if you feel it is warranted. Enter all of the provided information into the appropriate table in the spreadsheet. Save your spreadsheet as M3_A2_Lastname_Firstname_ThirdNormalForm.xls.
     

In addition, in a 2- to 3-page Microsoft Word document, you need to:

  • Share your planning strategy to complete the database.
  • Create an entity-relationship diagram from the tables that you designed above using crow’s foot notation. Be sure to note the cardinality and modality for each relationship.
  • Explain why you selected the links between each of the database tables.
 

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Research an application of Graph Theory in the real world. Find an article that describes how Graph theory is used, and what parts of Graph Theory are used. Explain why this application is important for science, business or your personal life with a post of at least 250 words.  A picture/image that illustrates the concept would also be nice.  Please cite your references.

In the Professors’ Resources, I have shared with you some relevant articles to get you started.

Possible applications you may think are:

1) Networking – Nash Equilibrium

2) Neighborhood theorem in Web Analytics

3) Computer Graphics and positioning of Cursor

4) Traveling salesman Problem

5) DNA mapping

6) Coloring Maps with different colors – Four colorability theorem

 

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