<p> </p><div><p>Title Page – – – – – – – – – – i Approval Page – – – – – – – – – ii Dedication – – – – – – – – – – iii Acknowledgements – – – – – – – – – iv Abstract – – – – – – – – – – – v Table of Contents – – – – – – – – – vi
The Nigeria-Cameroun border conflict, which had claimed many lives and properties, was finally resolved on October 2002 following the ICJ ruling which ceded the disputed Bakassi Peninsula to the Republic of Cameroon. The rapidity with which President Obasanjo implemented the handover of Bakassi to Cameroon was seen in the average eye of a Nigerian as a diplomatic blunder considering the historical underpinnings of the people of Bakassi. This study was therefore aimed at a critical examination of the fundamental rights of the people of Bakassi Peninsula in the management of the Nigerian-Cameroun dispute by President Obasanjo. In doing this, the study was anchord on two research questions, thus (1) Did Olusegun Obasanjo’s support for the ICJ ruling over the disputed Bakassi Peninsula undermine Nigeria’s national interest in the protection of her citizens and territorial integrity?; (2) Has the Nigerian government is inability to explore alternative policy options to ICJ ruling undermined the right to decide where to belong by the Bakassi people?. We used qualitative descriptive method to collect data from secondary sources. Qualitative descriptive method was equally used in analyzing our data. Thus, applying logically the core assumptions of Games theory, the study contended that Obasanjo’s acceptance of the ICJ ruling to cede away the disputed Bakassi Peninsula to Republic of Cameroon was against the national interest of Nigeria. Arising from this therefore, we recommended, among other things, that Nigerian foreign policy machinery should be henceforth situated and located in the hands of experts.
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...
Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...
Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...