Research Paper and PowerPoint
Topic: Object-Oriented Data Modeling
Paper: 10-12 pages
PowerPoint: 10-12 slides
Required to write a 10-12 page research paper on a topic related to advanced data modeling. It is important to remember that there is a significant difference between a research paper and a report.
A research paper involves researching a topic and using the research to derive a conclusion. It must show effort and insight.
Provide a 10 to 12 slide presentation of your Research Paper.
• Introduction Slide
• Describe the problem/topic
• Importance of Topic
• Content (5 Slides)
• Lessons Learned
• Conclusion
Specifications:
The paper should be 10-12 pages in length, not including figures, tables, or references.
Organization:
The paper should be organized in a format that could be submitted to a journal for presentation. It should include an abstract, key words, the body, and the bibliography.
At least three references from peer-reviewed journals (e.g., IEEE, ACM, available from the UMUC Library) are required. The title, your name, and page number should be at the top of each page. Do not include a title page or table of contents.
Format:
One inch margins (top, bottom, sides); Times New Roman or Arial12 point font; Double spaced; Running head with title, name, and page numbers
The objective of the paper is to "research" the topic. It is not to do a design.
Note:
• The format for the paragraph reference is (author_last_name, date_of_article). For articles sourced from the web, the format for the reference must be in accordance with APA format.
• Each reference must appear in the bibliography at the end.
• The bibliography should be listed in alphabetical order.
• References that were not used in the text of the paper should not be in the bibliography.
• Do not use more than 5 words directly from a source without quotation marks to avoid plagiarism.
Criteria for Paper Grade:
1. Compliance with APA format
2. Original work for this class
3. Creativity
4. Analysis of technical material
5. Writing ability
6. Mastery of data modeling concepts