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Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
Lääketieteen tohtoriohjelma

Periods

Period I (29-Aug-2016 – 23-Oct-2016)
Period II (24-Oct-2016 – 16-Dec-2016)
Period III (9-Jan-2017 – 5-Mar-2017)
Period IV (6-Mar-2017 – 28-May-2017)
Period (29-Aug-2016 - 23-Oct-2016)
Doctoral studies [Period I]
Teaching
1-Sep-2015 – 3-May-2016
Periods: I II III IV
Language of instruction: English

Research examples concerning family violence (e.g. child maltreatment and intimate partner violence) are presented and discussed, on perspectives of methodology, research ethics and sensitive
research topic.

Enrolment for University Studies
Enrolment time has expired
Teaching
22-Sep-2016 – 23-Nov-2016
Periods: I II
Language of instruction: English
Period (24-Oct-2016 - 16-Dec-2016)
Doctoral studies [Period II]
Teaching
1-Sep-2015 – 3-May-2016
Periods: I II III IV
Language of instruction: English

Research examples concerning family violence (e.g. child maltreatment and intimate partner violence) are presented and discussed, on perspectives of methodology, research ethics and sensitive
research topic.

Enrolment for University Studies
Enrolment time has expired
Teaching
22-Sep-2016 – 23-Nov-2016
Periods: I II
Language of instruction: English
Period (9-Jan-2017 - 5-Mar-2017)
Doctoral studies [Period III]
Teaching
1-Sep-2015 – 3-May-2016
Periods: I II III IV
Language of instruction: English

The course will provide basic understanding of gerontology, ageing and ageing research. In particular, the course addresses timely topic in gerontology and introduces different research methods, settings and projects.

Enrolment for University Studies
Enrolment time has expired
Teaching
8-Feb-2017 – 22-Mar-2017
Periods: III IV
Language of instruction: English
Further information:

8.2.2017 Prof. Marja Jylhä: Research on ageing: Approaches and methodology

15.2.2017 PhD student Jari Pirhonen: Autonomy of assisted living residents

22.2.2017 Doc. Kirsi Lumme-Sandt, prof. Clas-Håkan Nygård: Ageing and work

8.3.2017 Doc. Sari Stenholm: Health and functioning among old people

15.3.2016 Prof. Heli Valokivi, Univ. of Lapland: Care policy of old age                                               

22.3.2017  PhD Leena Forma: Health, economy and old people

                                                                                   

Modes of study:

1 ECTS Lectures and learning diary

2 ECTS Lectures, learning diary and individual essey on one lecture topic

3 ECTS Lectures, learning diary and 2 individual esseys on lecture topics

Enrolment for University Studies
Enrolment time has expired
Teaching
17-Feb-2017 – 24-Feb-2017
Periods: III
Language of instruction: English
Period (6-Mar-2017 - 28-May-2017)
Doctoral studies [Period IV]
Teaching
1-Sep-2015 – 3-May-2016
Periods: I II III IV
Language of instruction: English

Annual Meeting of doctoral students in health sciences is a chance to meet fellow students and teachers in an informal atmosphere. Getting to know each other and discussing about all kinds of aspect of doctoral studies is important part of the meeting. Lectures and group work will gain more knowledge of researcher’s skills. Topics vary every year. In AM 2017 topics are ‘ researcher’s social media CV’ and ‘ how to cope with anxieties caused by PhD work?’. 

Enrolment for University Studies

E-form By April 12. 2017.

Teaching
27-Apr-2017 – 28-Apr-2017
Periods: IV
Language of instruction: English

The course comprises a wide range of themes related to different health care systems, their governance and management. The lectures will cover themes:

  • Organization of health care and multi-sectoral approach to health, options for health care financing and health care delivery

  • The relationship between transnational actors (the EU, OECD, WHO) and healthcare policy

  • Localisation of global policy ideas in the cotext of healthcare and health policy

  • Health care reforms

  • Healthcare policy trends and future challenges

  • Healthcare markets
Enrolment for University Studies
Enrolment time has expired
Teaching
25-Apr-2017 – 26-Apr-2017
Periods: IV
Language of instruction: English

The course will provide basic understanding of gerontology, ageing and ageing research. In particular, the course addresses timely topic in gerontology and introduces different research methods, settings and projects.

Enrolment for University Studies
Enrolment time has expired
Teaching
8-Feb-2017 – 22-Mar-2017
Periods: III IV
Language of instruction: English
Further information:

8.2.2017 Prof. Marja Jylhä: Research on ageing: Approaches and methodology

15.2.2017 PhD student Jari Pirhonen: Autonomy of assisted living residents

22.2.2017 Doc. Kirsi Lumme-Sandt, prof. Clas-Håkan Nygård: Ageing and work

8.3.2017 Doc. Sari Stenholm: Health and functioning among old people

15.3.2016 Prof. Heli Valokivi, Univ. of Lapland: Care policy of old age                                               

22.3.2017  PhD Leena Forma: Health, economy and old people

                                                                                   

Modes of study:

1 ECTS Lectures and learning diary

2 ECTS Lectures, learning diary and individual essey on one lecture topic

3 ECTS Lectures, learning diary and 2 individual esseys on lecture topics

This course introduces the essential methods for modeling and interpreting survival data or, more generally, time-to-event data. Survival models are widely used in clinical, epidemiological and a variety of health related fields. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier graphs, log-rank and related tests, Cox proportional hazards model, and the extended Cox model for time-varying covariates. Special topics of multistate models and competing risks will also be briefly considered.

Enrolment for University Studies
Enrolment time has expired
Teaching
8-May-2017 – 31-May-2017
Periods: IV
Language of instruction: English
Further information:

Basic knowledge of biostatistics, regression models and statistical software (R) is necessary to succeed on the course. If you have no prior experience with R, one option to fulfill that gap is to take the CAST online introductory course (https://www.uta.fi/cast/_admin/index.php/events/Ronline.html).