732A64 > Course information
Hide menu

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.
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 2022 course

Date Activity Material
October 6, 2021
Preparatory meeting at 15-17 in Alan Turing, E-house

December 24, 2021
Deadline for sending in project descriptions to Oleg.
January 10
Approval of thesis topic

January 17 Appointment of supervisor.
January 18 Introductory meeting. At 10-12 in BL32, B-house
Slides
January 30 Submitting the thesis proposal presentation to LISAM
February 3-4
Thesis proposal seminar over Zoom.
Schedule for group A
Schedule for group B
March 20 Submitting the midterm presentation plus progress report plus thesis text sample to LISAM
March 28-29
Mid-term seminar in Alan Turing (group A) and John von Neumann (group B). Schedule for group A
Schedule for group B
April 28 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
May 5 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 8 Sending a thesis draft to the opponent, examiner and supervisor See the opponent list in the schedule for the oral defense
May 16 or 17 or 18
Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
May 26 Submission of the close-to-final thesis to LISAM and to Oleg's URKUND address. Send it also to the supervisor, examiner and opponent by email

May 28 Submission of the presentation for the oral defense to LISAM
 June 1-3 Oral defense seminar in Alan Turing (group A) and John von Neumann (group B). Schedule for group A
Schedule for group B

June 8
Last day to submit final version of the thesis for it to be reported within this semester

June 15 Examiner's meeting where the grades are decided and then reported
August, 7 Last attempt for submitting the final version of the thesis
(for students who become delayed; the maximum possible grade is C)

January, 2023 Second opportunity for the oral defense seminar (for students who become delayed)

Bold means that the entire meeting is mandatory. If a group is indicated, the entire meeting is mandatory for students from this group.
Note that LiU makes use of academic quarters.
All deadlines specified refer to the latest time point 23:59.

Timetable for the Autumn 2021 course

Date Activity Material
August 15
Deadline for sending in project descriptions to Oleg.
August 18
Approval of thesis topic

August 23 or earlier Appointment of supervisor.
August 23 Introductory meeting. In John von Neumann, B building, parallel session in Zoom.
Slides
September 6 Submitting the thesis proposal presentation to LISAM
September 10
Thesis proposal seminar. In John von Neumann, B building, parallel session in Zoom Schedule here
October 24 Submitting the midterm presentation and supporting report to LISAM
October 28
Mid-term seminar.  In John von Neumann, B building, parallel session in Zoom
Schedule here
November 26 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
December 3 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 7 Sending a thesis draft to the opponent, examiner and supervisor Opponents list here
December 15, 16 or 17 Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
January 7, 2022
Submission of the close-to-final thesis to LISAM and to Oleg's URKUND address.
Send it also to the supervisor, examiner and opponent by email

January 12,2022 Submission of the presentation for the oral defense to LISAM
January 13, 2022 Oral defense seminar. Zoom only.
Schedule
January 17, 2022
Last day to submit final version of the thesis for it to be reported within this semester
January 25, 2022 Examiner's meeting where the grades are decided and then reported
March 20, 2022 Last attempt for submitting the final version of the thesis
(for students who become delayed; the maximum possible grade is C)

June, 2022 Second opportunity for the 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.


Letter to company collaborators

- Letter


Proposed projects start spring 2022

Internal, at IDA:

All projects can be found here


Templates and instructions for the report

For the templates, and the publication rules, see here and chapter size recommendations here


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: 2022-05-16