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732A64 Master's Thesis

Course information

Welcome!

This is the web site for the thesis course in the master's programme Statistics and Machine Learning/ 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 for the Spring 2019 course

Date Activity Material
May 24 Preparatory meeting at 10-12 Slides
December 13 Deadline for sending in project descriptions to Oleg.
December 20 Approval of thesis topic

January 10 or earlier Appointment of supervisor.
January 21 Introductory meeting. At 10-12 in Alan Turing
Slides
February 6 Submitting the thesis proposal presentation to LISAM
February 11 Thesis proposal seminar. Whole day in Alan Turing
Presentation schedule
March 25 Submitting the midterm presentation to LISAM
March 29 Mid-term seminar.  Whole day in Alan Turing
Presentation schedule
May 1 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
May 7 Decision is made by the supervisor regarding whether the thesis has
good chances to be passed within the course time frames or
the thesis work needs to be stopped and grade F given.

May 9 Sending a thesis draft to the opponent, examiner and supervisor
May 16 (approx) Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students. Opposition schedule
May 26 Submission of the close-to-final thesis to LISAM and to Oleg's URKUND address

June 3-4 Oral defense seminar in Alan Turing. Presentation schedule
June 17 Last day to submit final version of the thesis for it to be reported within the study year
January, 2020 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.
All deadlines specified refer to the latest time point 23:59.


Timetable for the Autumn 2019 course

Date Activity Material
August 1
Deadline for sending in project descriptions to Oleg.
August 9
Approval of thesis topic

August 20 or earlier Appointment of supervisor.
August 26 Introductory meeting. At 10-12 in Alan Turing
Slides
September 8 Submitting the thesis proposal presentation to LISAM
September 12
Thesis proposal seminar. Whole day in Alan Turing

October 21 Submitting the midterm presentation to LISAM
October 24
Mid-term seminar.  Whole day in Alan Turing

November 29 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
December 6 Decision is made by the supervisor regarding whether the thesis has
good chances to be passed within the course time frames or
the thesis work needs to be stopped and grade F given.

December 10 Sending a thesis draft to the opponent, examiner and supervisor
December 18 (approx) Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
January 9, 2020
Submission of the close-to-final thesis to LISAM and to Oleg's URKUND address
January 16-17, 2020 Oral defense seminar in Alan Turing.
February 1, 2020 Last day to submit final version of the thesis

Bold means that the meeting is mandatory.
Note that LiU makes use of academic quarters.
All deadlines specified refer to the latest time point 23:59.


Letter to company collaborators

- Letter




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)

2017

Caroline Svahn, Automated Bug Report Routing

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

Aleksey Shipitsyn, Statistical Learning with Imbalanced Data

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 Jrvstrt, 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: 2019-06-24