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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.
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 2023 course

Date Activity Material
October 5, 2022
Preparatory meeting at 15-17 in Alan Turing, E-house
Slides
December 25, 2022
Deadline for sending in project descriptions to Oleg.
January 9
Approval of thesis topic

January 16 Appointment of supervisor.
January 17 Introductory meeting. At 10-12 in John von Neumann, B-house
Slides
January 29 Submitting the thesis proposal presentation to LISAM
February 2-3
Thesis proposal seminar in John von Neumann (group A) and John von Neumann (group B). Schedule for group A
Schedule for group B
March 19 Submitting the midterm presentation plus progress report plus thesis text sample to LISAM
March 27-28
Mid-term seminar in Alan Turing (group A) and John von Neumann (group B). Schedule for group A
Schedule for group B
April 27 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
May 4 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 7 Sending a thesis draft to the opponent, examiner and supervisor
May 15 or 16 or 17
Revision meeting. Mandatory, but date and place are set bilaterally selected pairs of students.
May 25 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 30 Submission of the presentation for the oral defense to LISAM
 May 31 - June 2
Oral defense seminar in Alan Turing (group A) and John von Neumann (group B). Schedule for group A
Schedule for group B
June 7
Last day to submit final version of the thesis for it to be reported within this semester

June 14 Examiner's meeting where the grades are decided and then reported
August, 6 Last attempt for submitting the final version of the thesis
(for students who become delayed; the maximum possible grade is C)

January, 2024 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 2022 course

Date Activity Material
August 10
Deadline for sending in project descriptions to Oleg.
August 15
Approval of thesis topic

August 22 or earlier Appointment of supervisor.
August 23 Introductory meeting at 10.15 in Zoom.
Slides
September 7 Submitting the thesis proposal presentation to LISAM
September 12
Thesis proposal seminar. In John von Neumann, B building Schedule here
October 21 Submitting the midterm presentation and supporting report to LISAM
October 26
Mid-term seminar.  In John von Neumann, B building
Schedule here
November 25 Sending a thesis draft to the supervisor unless the supervisor states otherwise.
December 2 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
December 14, 15 or 16 Revision meeting. Mandatory, but date and place are decided in agreement between the student, opponent, supervisor and examiner.
January 5, 2023
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 12,2023 Submission of the presentation for the oral defense to LISAM
January 13, 2023 Oral defense seminar. In John von Neumann, B building Schedule
January 18, 2023
Last day to submit final version of the thesis for it to be reported within this semester
January 25, 2023 Examiner's meeting where the grades are decided and then reported
March 20, 2023 Last attempt for submitting the final version of the thesis
(for students who become delayed; the maximum possible grade is C)

June, 2023 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 2023

Internal, at IDA:

All projects can be found here


Templates and instructions for the report

For the templates, and the publication rules, see here


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

2020-2022

Can be found here

Older theses:

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 Järvstråt, Functionality Classification Filter for Websites

2012

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


Page responsible: Oleg Sysoev
Last updated: 2023-05-19