Aston University, Birmingham (ASTON)

This academically rigorous critical reflection provides an in-depth analysis of a real-world software engineering team project experience, utilizing Kolb's Experiential Learning Cycle (Concrete Experience, Reflective Observation, Abstract Conceptualisation, Active Experimentation). It's an invaluable resource for students tasked with similar reflective essays, project management assessments, or professional development portfolios. The reflection critically examines: Team decision-mak...

This academically rigorous critical reflection provides an in-depth analysis of a real-world software engineering team project experience, utilizing Kolb's Experiential Learning Cycle (Concrete Experience, Reflective Observation, Abstract Conceptualisation, Active Experimentation). It's an invaluable resource for students tasked with similar reflective essays, project management assessments, or professional development portfolios. The reflection critically examines: Team decision-mak...

This set of comprehensive presentation slides accompanies the 'Investic' project, an in-depth case study of an ethical investment mobile application. It's designed to summarize key findings and analysis related to Business Information Systems (BIS), Requirements Analysis, IT Project Management, and Data Flow. These slides are an excellent visual resource and summary for students studying: Business Information Systems (BIS): What defines a BIS, its hierarchical components (TPS, MIS...

This extensive report, compiled for the CS1BAC Business Information Systems module at Aston University, provides a multi-dimensional analysis of 'Investic' – an ethical investment mobile application. It covers crucial stages of system development and business context, making it an ideal resource for students in Computing, Information Systems, Business Analysis, and Project Management. Key Sections Covered: Investic as a Business Information System (BIS): Explores the characteristic...

In-depth University Experimental Study: Optimising Logistics Demand Prediction with Adaptive Particle Swarm Optimisation This comprehensive report, submitted for the CS3CI Computational Intelligence module at Aston University, presents an experimental study on optimising logistics demand prediction using Particle Swarm Optimisation (PSO). It features a detailed comparison between a baseline PSO algorithm and a novel adaptive PSO approach for real-world forecasting challenges. This report i...

Comprehensive University Report: Emotions Classification using Natural Language Processing (NLP) This in-depth university report details a practical implementation and comparative analysis for emotions classification in text data. It showcases two distinct yet powerful machine learning approaches: the cutting-edge DistilBERT transformer model (a deep learning model) and the foundational Logistic Regression algorithm. As part of my Computing studies at Aston University, this project provide...

These lecture notes are a clear, well-structured summary of key topics covered in class. They are designed to make studying easier, with information presented in an organized and student-friendly format. Each set of notes highlights the most important points, definitions, and examples, making them ideal for quick revision and exam preparation.

These lecture notes are a clear, well-structured summary of key topics covered in class. They are designed to make studying easier, with information presented in an organized and student-friendly format. Each set of notes highlights the most important points, definitions, and examples, making them ideal for quick revision and exam preparation.

These lecture notes are a clear, well-structured summary of key topics covered in class. They are designed to make studying easier, with information presented in an organized and student-friendly format. Each set of notes highlights the most important points, definitions, and examples, making them ideal for quick revision and exam preparation.

These lecture notes are a clear, well-structured summary of key topics covered in class. They are designed to make studying easier, with information presented in an organized and student-friendly format. Each set of notes highlights the most important points, definitions, and examples, making them ideal for quick revision and exam preparation.