Leonel Aguilar Melgar: Catalogue data in Autumn Semester 2024 |
| Name | Dr. Leonel Aguilar Melgar |
| Address | Chair of Cognitive Science ETH Zürich, RZ E 8.2 Clausiusstrasse 59 8092 Zürich SWITZERLAND |
| leonel.aguilar@gess.ethz.ch | |
| URL | https://leaguilar.github.io/ |
| Department | Humanities, Social and Political Sciences |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||
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| 851-0252-01L | Human-Computer Interaction: Cognition and Usability  Particularly suitable for students of D-ARCH, D-INFK, D-ITET. | 3 credits | 2S | C. Hölscher, L. Aguilar Melgar, I. Barisic, B. Davison | ||||||||||||||||||||||||||||||||||||||
| Abstract | This seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability, with a focus on applying them to real situations. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | Presentations will cover the basics of human-computer interaction and selected topics: ● History of HCI ● Research ethics ● Literature reviews ● Participant-free methods: cognitive walkthrough and heuristic evaluation ● Card sorting and information architecture ● Usability studies ● Unmoderated research and diary studies ● Surveys ● User Logs and metric frameworks On a weekly basis, students will conduct authentic research in class covering the topics above. They will submit their in-class research results regularly and also present their findings to the class once per semester. The final project demonstrates class topic adoption by deeply exploring one HCI problem using the covered methods and tools. Students will choose a research topic and execute their research plan. They will individually write a formal report including problem definition, literature review, methodology, findings and discussion. | |||||||||||||||||||||||||||||||||||||||||
| 851-0252-08L | Evidence-Based Design: Methods and Tools for Evaluating Architectural Design  Particularly suitable for students of D-ARCH. | 3 credits | 2S | C. Hölscher, L. Aguilar Melgar, M. Gath Morad, L. Narvaez Zertuche, C. Veddeler, to be announced | ||||||||||||||||||||||||||||||||||||||
| Abstract | Students are taught a variety of analytic techniques that can be used to evaluate architectural design. The concept of evidence-based design is introduced, and complemented with theoretical background on space syntax and spatial cognition. This is a project-oriented course, students implement a range of methods on a sample project. The course is tailored for architecture design students. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | The course aims to teach students how to evaluate a design project from the perspective of the end user. The concept of evidence-based design is introduced through a series of case studies. Students are given a theoretical background in space syntax and spatial cognition, with a view to applying this knowledge during the design process. The course covers a range of methods including visibility analysis, network analysis, conducting real-world observations, and virtual reality for architectural design. Students apply these methods to a case study of their choice, which can be at building or urban scale. For students taking a B-ARCH or M-ARCH degree, this can be a completed or ongoing design studio project. The course gives students the chance to implement the methods iteratively and explore how best to address the needs of the eventual end-user during the design process. The course is tailored for students studying for B-ARCH and M-ARCH degrees. As an alternative to obtaining D-GESS credit, architecture students can obtain course credit in "Vertiefungsfach" or "Wahlfach". | |||||||||||||||||||||||||||||||||||||||||
| 851-0252-14L | Introduction to Methods in Learning Sciences I Course registration targeted primarily at students enrolled in the ETH-EPFL joint doctoral program in the Learning Sciences. | 2 credits | 1G | C. Hölscher, L. Aguilar Melgar, S. Andraszewicz | ||||||||||||||||||||||||||||||||||||||
| Abstract | The course aims at providing students with practical knowledge and skill of processing, interpreting and analyzing empirical educational data, including different lenses through which to view the nature of inquiry in the field, research design, and an overview of quantitative, qualitative and mixed methods research. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | The course will be centered around exploring methodological perspectives by focusing on conceptual aspects of datasets and experiments in the Learning Sciences. Face-to-face meetings will be held every fortnight, although students will be expected to work individually on weekly tasks (e.g., discussing relevant literature, creating and justifying research designs, performing data anaylsis) | |||||||||||||||||||||||||||||||||||||||||
| Content | The course has the following components: a) Planning design-based research/research designs, b) Overview of quantitative, qualitative, mixed methods in Learning Sciences, c) Ethics of Learning Sciences research | |||||||||||||||||||||||||||||||||||||||||
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