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732A30 Master's Thesis

Course information

Welcome!

This is the web site for the thesis course in the master's programme Statistics and Data Mining.
We have posted some useful information and material below. This is the only course webpage to keep track of during this course.




Timetable

Date Activity Material
November 10, 2016 Preparatory meeting at 10-12 Slides
December 16, 2016 Deadline for sending in project descriptions to Mattias.
December 20, 2016 Approval of thesis topic and appointment of supervisor.
January 24, 2017 Introductory meeting. At 10-12. Slides
February 13, 2017 Thesis proposal seminar. At 8-13.
March 28, 2017 Mid-term report. At 10-18.
May 17, 2017 (approx) Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
May 28, 2017 Submission of thesis draft
June 2, 2017 Oral defense seminar. At 8-18.
June 16, 2017 Last day to submit final version of the Masters thesis for it to be reported within the study year
January, 2018 Second opportunity for an oral defense seminar (for students who become delayed)

Bold means that the meeting is mandatory.
Note that LiU makes use of academic quarters.




Templates and instructions for the report

Thesis template in LyX format: LyX  - Basic instructions

Thesis template in Word format: Office 2010MSWord 97-2003

Thesis cover: Office 2010MSWord 97-2003

Publication rules: Office 2010MSWord 97-2003




Examples of theses from previous years (grade A or B)

2016

Alessandro Olivi, Survival analysis of gas turbine components

Malte Nalenz, Horseshoe RuleFit - Learning Rule Ensembles via Bayesian Regularization

Konstantinos Poulakis, Alzheimer's disease heterogeneity assessment using high dimensional clustering techniques

Claudia Adok, Retrieval of Cloud Top Pressure

Miriam Hurtado Bodell, Bayesian poll of polls for multi-party systems

2015

Patrik Pavlov, Optimal Experimental Design and Parameter Estimation of a Stacked Bed Hydrotreating Process

Martin Arvidsson, Dynamic Call Drop Analysis

Andreea Bocancea, Supervised Classification Leveraging Refined Unlabeled Data

2014

Aiswaryaa Viswanathan, Data driven analysis of usage and driving parameters that affect fuel consumption of heavy vehicles

Munezero Parfait, Mobile network traffic analysis based on IP log data

Uriel Chareca, Inferring user demographics from reading habits

Paolo Elena, Anomaly detection and analysis on dropped phone call data

2013

Lotta Järvstråt, Functionality Classification Filter for Websites

2012

Ankita Garg, Forecasting exchage rates using machine learning models with time-varying volatility


Page responsible: Mattias Villani
Last updated: 2016-11-10