EVA AI: Blog Post 1: Personal Intro, Motivation, Learning Goals

What makes a Paper good or bad  Title and Abstract: Strong and clear, effectively presenting the main ideas, methods, and outcomes. Introduction: Comprehensive, providing background, identifying gaps in existing methods, and clearly stating the research questions. Methods: Highly detailed, explaining the SR-RBF network design and NMPC formulation with solid mathematical rigor, suitable for technical readers. Results: Rich with data, using figures and tables to convincingly demonstrate the method’s advantages. Discussion: Reflective and insightful, thoughtfully comparing findings to previous work and highlighting their significance. Conclusion: Focused, summarizing key points and emphasizing readiness for real-world application. References and Appendices: Robust and well-integrated, supporting the paper with foundational and current works. Improvements: The paper could be improved by making the math sections more accessible with visual aids, summarizing results earli...

SMART GOAL My goal is to learn how to differentiate between a well-written academic paper and a poorly written one, including aspects such as writing style, structure, argumentation, use of sources, and clarity of expression. To achieve this goal, I will critically analyze one already selected academic paper related to my Master's thesis topic. I will apply the academic research skills I develop in this course, using critical thinking and research tools. This goal is highly relevant to my Master's thesis work, as I need to conduct extensive research and evaluate the quality of Sources and the selected paper aligns closely with my thesis Topic. - Specific: to differentiate between a well-written academic paper and a poorly written one - Measurable: One Paper, by doing the statet tasks - Achievable: by applying the skills I learned in this Semester - Relevant: Topic and developing Research skills is highly relevant for my Thesis - Time: With in one Semester, all tree weeks. 

Task: an introduction about you your motivation for taking this seminar the rationale for selecting the topic you will analyse what are your specific learning goals to achieve by the end of the semester. My Name is J.Acimovic. I study Energy and Environment at the FHNW, at the Institute of Automation. My motivation for taking this seminar is related to my Master's thesis and the Innosuisse project I am working on with the Institute for Data Science. We are using neural networks for wastewater treatment optimization, demand-side control, and forecasting. That’s also why I selected this topic. My specific learning goals are to learn how to conduct proper research using both critical thinking and helpful tools, and to apply this research to my Master's thesis.