Practical work and written report

Essays and exam

If you are interested in participating the course, send an email to Heikki Hyyrö and Timo Poranen.

To enroll the course, a Demola project application is required

Send an email to the teacher (Saila.Ovaska@uta.fi) with "PUXUI enrollment" as the subject of your email and give the following information in the message body:
* your full name and possible student id number at University of Tampere (UTA),
* student status: are you a degree student (e.g., of HTI) at UTA, TUT or TAMK, and major of studies,
if you are an exchange student, what is the university you are visiting, and what is your major of studies at your home university.

The course key will be sent to you by email.

Getting the study rights at UTA

• For HTI students from TUT, the study rights are granted automatically.
• All other degree students from TUT or TAMK, you will need to apply for the rights, see Service for Cross-Institutional Studies
• For exchange students not admitted in UTA, you too will need to apply for the rights, see Unipoli studies (TIEVA36 listed in the Unipoli course calendar)

There are no face-to-face meetings on this course. Only when taking the electronic examination you need to be present at University of Tampere. Otherwise you can study remotely working on the Moodle assignments.

Practical work and written report

Essays and exam

If you are interested in participating the course, send an email to Heikki Hyyrö and Timo Poranen.

Enroll on Demola page by 7.10.

General description

Knowledge about statistical methods and data analysis is of great importance in almost any field of research. In this course, general concepts of statistics will be provided so that students can be able to independently carry out a small scale empirical research with the statistical software SPSS or R. After the course, students should be familiar with the basic concepts of statistics, ranging from descriptive statistics, basic inference (estimation, confidence intervals and hypothesis testing), linear models (analysis of variance, simple and multiple linear regression), non-parametric tests and logistic regression.

Space is limited in this course due to computer room capacity. Priority will be granted for the first enrolments, based on the proportions: 60% PhD students and 40% for BSc and MSc students.

Please note that this course cannot be included inside the minimum 120 ECTS of Master's Degree Programme in CBDA (basic level course).

MTTTP1 Tilastotieteen johdantokurssi lectured in period I, II or III-IV is recommended for Finnish students.

Practical work and written report

Essays and exam

If you are interested in participating the course, send an email to Heikki Hyyrö and Timo Poranen.

Note one exercise group in Central campus (Pinni B ML40) on Fri 10-12.

In TUT POP portal.

This course is organized by TUT and UTA students must

1. Apply for study right through Service for Cross-Institutional Studies.
2. Make sure to apply for the right to study well in advance so that you have enough time to also activate the user account of TUT and
3. to sign up for the studies according to the schedules of TUT.

Read carefully the UTA instructions

This course cannot be taken if student has done TIETS39 Machine Learning Algorithms.

Note. The prerequisite SGN -courses are not required from UTA students.

Practical work and written report

Essays and exam

If you are interested in participating the course, send an email to Heikki Hyyrö and Timo Poranen.

Recommended preceding studies: Data Structures, basics of statistics, basics of mathematics and linear algebra.

NOTE, contact teaching (lectures and excercises) is in Finnish. The lectures are based on study material which is available in English. Weekly exercises will be available in English and are to be sent to the teacher.

Mietityttääkö gradun aloitus? Etsitkö aihetta gradullesi?

Jos olet aloittamassa gradua kesällä tai tulevana syksynä, tilaisuus on sinua varten!

Keskiviikkona 8.5. klo 16.00 Olohuoneessa Pinni B1029-30 pidetään tutkinto-ohjelman info- ja keskustelutilaisuus pro gradu -tutkielmaa aloittaville opiskelijoille

Ohjelmassa mm. 

- infoa pro gradun aloituksesta ja aiheen/ohjaajan löytämisestä

- mahdollisia ohjaajia ja aihealueita

- keskustelua maisteriohjelmakohtaisissa ryhmissä

Tilaisuuteen on vapaaehtoinen ilmoittautuminen, voit jättää ilmoittautuessa ennakkokysymyksiä

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Need inspiraton for thesis subject?

Have you already started planning your thesis? Do you need inspiration and ideas to come up with a reasonable thesis subject?

You are warmly welcome to meet us and learn about the M.Sc. Thesis process and to get thesis subject tips from the professors and teachers on
Wednesday 8th May, 16.00 in lounge, Pinni B1029-30.

Agenda:

- info about Thesis process, finding a supervisor and thesis subject areas, and

- discussion in smaller groups.

Optional enrollment in NettiOpsu.

If you already have questions/comments in mind about the meeting, please add the in NettiOpsu when enrolling.