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732A64 Master's Thesis

Course information


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.


Date Activity Material
October 17, 2017 Preparatory meeting at 10-12 Slides
December 8, 2017 Deadline for sending in project descriptions to Mattias.
December 15, 2017 Approval of thesis topic and appointment of supervisor.
January 23, 2018 Introductory meeting. At 10-12. Slides
February 12, 2018 Thesis proposal seminar. At 8.15-13 in Alan Turing. Presentation schedule
March 29, 2018 Mid-term seminar. Whole day. Presentation schedule
May 17, 2018 (approx) Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
May 28, 2018 Submission of thesis draft
June 4-5, 2018 Oral defense seminar. Presentation schedule
June 20, 2018 Last day to submit final version of the Masters thesis for it to be reported within the study year
January, 2019 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: Word template

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


Caroline Svahn, Automated Bug Report Routing

Andrea Bruzzone,P-SGLD: Stochastic Gradient Langevin Dynamics with control variates

Aleksey Shipitsyn, Statistical Learning with Imbalanced Data


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


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


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


Lotta Järvstråt, Functionality Classification Filter for Websites


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

Page responsible: Mattias Villani
Last updated: 2018-06-12