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Table of Contents:

Chapter One: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Research Questions
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter Two: Literature Review
2.1 Overview of Population Genetics
2.2 Mathematical Models in Population Genetics
2.3 Previous Studies on Population Genetics
2.4 Gaps in the Literature

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Procedure
3.5 Ethical Considerations

Chapter Four: Discussion of Findings
4.1 Data Analysis
4.2 Interpretation of Results
4.3 Comparison with Literature
4.4 Implications of Findings

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Recommendations for Future Research

Brief Overview:
The thesis on Mathematical Models in Population Genetics aims to explore the use of mathematical models to study genetic variation within populations. Population genetics is a subfield of genetics that focuses on how genetic traits are distributed and evolve within populations. Mathematical models are essential tools in population genetics research as they help researchers understand the complex interactions between genetic factors, natural selection, and genetic drift.

The introduction chapter provides background information on population genetics, outlines the research objectives, and discusses the limitations and scope of the study. The literature review chapter reviews previous studies on population genetics and mathematical models in this field, highlighting the gaps that the current study aims to address.

The research methodology chapter details the research design, data collection methods, and data analysis techniques used in the study. The discussion of findings chapter presents the results of data analysis, interpretations of the findings, and comparisons with existing literature.

In the conclusion and summary chapter, the overall findings of the study are summarized, conclusions are drawn, and recommendations for future research in population genetics are provided. This thesis contributes to knowledge in the field of population genetics by demonstrating the importance of mathematical models in understanding genetic variation and evolution within populations.

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