Data science master thesis pdf

The interdisciplinary field of data science deals with methods for using data to automatically produce knowledge, insights, and models for prognosis, risk, and action. The Master's degree programme, which is taught in English, connects machine learning, statistical data analysis, natural scientific methods of data assimilation, and business analytics. The programme offers broad and interdisciplinary structured training in methods and is characterised by a strong emphasis on practice and research. The interdisciplinary structured Master's degree in data science combines content from computer science, mathematics, information systems, and the natural sciences. Core courses provide you with an overarching understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures.

Thesis Announcements

Thesis Announcements – Smart Data Analytics

Home About Contact Guidelines for Authors. General reference databases are listed first which is followed by the repositories and digital libraries of individual countries and universities. It also provides information on the online availability of electronic theses in the library and information science through centrally-maintained digital repositories which not only ensure easy access and archiving of doctoral theses but will also help in raising the standard and quality of research. According to Wikipedia, "A thesis or dissertation is a document submitted in support of candidature for an academic degree or professional qualification presenting the author's research and findings. In some contexts, the word "thesis" or a cognate is used for part of a bachelor's or master's course, while "dissertation" is normally applied to a doctorate, while in other contexts, the reverse is true.

La Sapienza - Università di Roma

On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu. Advanced techniques for improving canonical genetic programming , Adam Tyler Harter. Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter. Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam.
Here are some of our available student projects, but we are happy to consider other options as well. To apply for a student project contact the professor responsible for the project:. Other pages where student projects are regularly posted:. Projects older than six months are likely not available any more, but if you are really interested in a particular topic, contact the professor responsible to see if perhaps the project can be refreshed.
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