Seminar
- Philosophy of Science: A critical understanding of the falsifiable, paradigmatic, and uncertain nature of science.
- Scientific / Engineering Method: Distinguishing scientific knowledge from engineering design, with an emphasis on constraints and optimization.
- Problem Formulation: Developing the ability to transform a topic into a precise, focused, and defensible research problem.
- Research Papers and Journals: Critical evaluation of research papers and journals beyond superficial metrics.
- Research Search Methods: Systematic, reproducible searches based on Boolean logic and snowballing techniques.
- Artificial Intelligence in Research Search: Using AI as a rapid assistant, with validation and critical thinking.
- Proposal Architecture: Viewing the research proposal as an execution contract and a roadmap for the research.
- Systematic Review: Viewing the literature review as a tool for defining the boundaries of knowledge and identifying research gaps.
- AI as an Editor and Critic: Using AI for logical critique, simulating peer review, and reducing confirmation bias.
- Sample Proposal Review: Critically evaluating a master's thesis proposal and identifying its strengths and weaknesses.
- Word Workshop: Understanding the technical and visual structure of a document as an integral part of academic quality.
- esearch Ethics: Commitment to academic integrity, accurate citation, and avoidance of plagiarism.
- Presentation Skills: Clear communication of ideas, effective time management, and maintaining composure during the Q&A session.
- Student Presentation Sessions: Practicing presentations, embracing constructive criticism, and providing academically sound responses in a real-world setting.
- Final In-Class Seminar Presentation Sessions by Students
- Continuation of Final In-Class Seminar Presentation Sessions by Students