5SSD0 Bayesian Machine Learning & Information Processing
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Updated
Mar 30, 2026 - Julia
5SSD0 Bayesian Machine Learning & Information Processing
TU/e / Some of the Bachelor of Electrical Engineering Course Notes
Repo for BPIC2019 as part of TUe Honors Track Big Data
Automata and Formal Languages is a course about Automata and the different types of languages you can prove with them. In this repository I'll be making the homework assignments.
Write a 15–20 page report summarizing customer interviews, defining a customer profile (jobs, pains, gains), and presenting a value map. Include experiments used to test assumptions, results, and an updated value map. Add references and supporting data in an appendix.
The aim is to complete an exercise in writing an English text for a broader, less informed audience (with respect to Computer Science). The most suitable texts shall be used to recruit new first-year students, as well as other PR publications for the program.
The course Educational science concerns itself with learning and teaching. Students acquire educational theories and insights in the field of teacher behavior and student learning behavior and develop an investigative and learning attitude..
The objective of this assignment is to identify and evaluate market opportunities for the technology of you choice as presented by HighTechXL. Remember, a market opportunity is defined as the combination of an application of your (technical) abilities for a specific set of customers.
Build and iterate a Business Model Canvas for a startup idea by analyzing customers, value proposition, channels, revenue, and costs. Refine it using market, team, and AI feedback. Deliver a 15–20 page report and a presentation proving viability, scalability, and consistency of the model.
This course gives an introduction to probability and statistics. Uncertainty shows up in many places within computer science. In complex systems you may need to consider failure rates of components, communication delays or imprecision in data or sensor input, whereas in algorithms randomness is used as a tool to create simpler or faster solutions.
"Design for Games & Play III" addresses the many ways in which play connects with daily life, with special attention to creating fun and meaningful experiences in real-life contexts. It touches upon how to analyze and use the dynamics of play to produce impactful experiences.
Entry for the 2016-2017 ants challenge for the course Computation II at Eindhoven University of Technology
This assignment reflects on the development of entrepreneurial competencies Ideas & Opportunities, Resources, Into Action through your societal challenge work, combining insights from guest lectures and podcasts with your personal experiences to show how theory and practice intersect.
Project related files
An unofficial TU/e theme for the reveal.js presentation framework
TUe GO app from Group 15 in the 2016-2017 revision of the DBL App Development course at Eindhoven University of Technology
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