Robustness of Degree Classifications

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📄 Project Abstract

The University of Leeds currently uses two award algorithms to generate a student's final degree classifications. The best overall mark resulting from the calculations done under each algorithm is then used to classify the students in the appropriate boundaries. It is the aim of this project to analyse the robustness of degree classifications in the school of computing. This simply means to look at the effects on the overall number of degrees awarded at each level by calculating student's grades under a variety of award algorithms. The project will also look at other institutions to establish which award algorithms they are using to calculate their students classifications. Some of these algorithms will then be applied to the test data to be acquired from Leeds University's computing student's records. Upon extraction of the data from the School of Computing's SIS database, a number of different algorithms will then be applied to each student's results. Based on these calculated result...

🔍 Key Research Areas Covered
  • ✅ Literature Review & Theoretical Framework
  • ✅ Research Methodology & Data Collection
  • ✅ Data Analysis & Statistical Methods
  • ✅ Findings & Results Discussion
  • ✅ Recommendations & Conclusions
  • ✅ References & Bibliography
📚 Complete Project Structure
Chapter 1: Introduction & Background
  • Problem Statement & Objectives
Chapter 2: Literature Review
  • Theoretical Framework & Related Studies
Chapter 3: Research Methodology
  • Data Collection & Analysis Methods
Chapter 4: Data Analysis & Results
  • Findings & Statistical Analysis
Chapter 5: Discussion & Conclusion
  • Recommendations & Future Research
Appendices: Supporting Documents
  • Questionnaires, Data, References
⭐ Why Choose This Artificial Intelligence Project Topics Project?
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Thoroughly researched with current and relevant sources

📊 Complete Data

Includes statistical analysis and detailed findings

✍️ Original Content

100% original research with proper citations

📝 Properly Formatted

APA/MLA formatting with table of contents

🎓 Supervisor Approved

Meets university standards and requirements

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"This project provided excellent guidance for my Artificial Intelligence Project Topics research. The methodology was clear and the data analysis helped me understand the proper approach."

— Final Year Student, Science project topics
Full Citation:

Unknown Author. (). Robustness of Degree Classifications. African and General Studies, 40, 14858.

Citation Formats:
APA
Unknown Author. (). Robustness of Degree Classifications. African and General Studies, 40, 14858.
MLA
Unknown Author. "Robustness of Degree Classifications." African and General Studies, vol. 40, , pp. 14858.
Chicago
Unknown Author. "Robustness of Degree Classifications." African and General Studies 40 (): 14858.
Full Citation:

Unknown Author. (). Robustness of Degree Classifications. African and General Studies, 40, 14858.

Citation Formats:
APA
Unknown Author. (). Robustness of Degree Classifications. African and General Studies, 40, 14858.
MLA
Unknown Author. "Robustness of Degree Classifications." African and General Studies, vol. 40, , pp. 14858.
Chicago
Unknown Author. "Robustness of Degree Classifications." African and General Studies 40 (): 14858.
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