Doctoral Thesis - Research Collection - ETH Z.
Biomedical Engineering (specialised Master's degree) Master's Thesis Main content. Accordion. Press Tab to navigate to entries, then Enter to open or collapse content. Open all Close all. Admission for Master's Thesis. According to the Study Regulations, a Master's Thesis is only admissible to those who. a) have fully completed their Bachelor studies and b) have fulfilled any extra.
Current Subcategory: Master Thesis. Completed Master Theses; Master Thesis Main content. The current list with topics for Master Theses in Infrastructure Management. Proposals for Spring semester 2020. Investigation of the benefits of coordinating interventions on multiple networks in urban areas; Effectiveness of resilience indicators in predicting resilience; Databased deterioration curves.
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Theses glaciology Main content. Current research projects of the Glaciology division are the basis for available Bachelor and Master's theses. The topics are offered primarily for students of Earth Science, Physics, Computational Science, Environmental Science, as well as Environmental Engineering, Geospatial Engineering, and Civil Engineering. ETH Zurich uses SiROP to publish and search for.
Master Theses; MAS Theses; PhD Theses; for ETH Students from the following Departments. D-MTEC; D-PHYS; D-MAVT; D-MATH; To qualify for Master theses of D-MTEC, we have the following requirements: students have to take our courses in. Systems Dynamics and Complexity; Agent-Based Modelling of Social Systems; Complex Networks; Additionally, all students are required to sign the following form.
The EThOS (Electronic Theses Online Service) has been developed by the EThOS partnership, comprising of several UK Higher Education Institutions and the British Library with funding from JISC, RLUK and the HE partners. The website allows free access to the full text of UK doctoral theses that have been digitised. EThOS allows you to search over 250,000 doctoral theses records, download the.
In this thesis, we analyse online anonymous quotes produced on the AXA online car insurance premium calculation tool, with the aim of modelling the offer request probability, as well as its price elasticity. In the first part of the thesis, we apply different statistical learning techniques, namely L1 regular- ized logistic regression, generalized additive models and tree ensemble methods such.