The aim of the course is to give the basic information about the structure and content of doctoral studies as well as the overview of the research at the School of Health Sciences. Topics like the supervising process, critical evaluation and public defence are also covered.

Taught in Finnish every other year (even years).

Target group: New and newish non-Finnish doctoral students of the University of Tampere

Content: Organization of doctoral studies at the University of Tampere, Joint doctoral studies, Funding opportunities, Library services, Supervision and planning of studies

12.15-12.40 Welcome to the University of Tampere, Organization of doctoral studies at the University of Tampere, Joint doctoral studies (UTA doctoral school)

12.40-13.00 Funding opportunities (Head of Research Development Johanna Hakala)

13.00-13.20 International HR Team at Your Service!  (HR Specialist Nuppu Suvanto)

13.20-13.40 Coffee break

13.40-14.00 Library services (Information specialist Saija Tapio, University of Tampere Library)

14.00-14.45 Supervision and tips on Planning and Managing your Doctoral Process (UTA doctoral school)

14.45 -15.00 About University of Tampere Association of Researchers and Teachers

Time: Friday 18.9.2015

Place: Main Building C5.

Pre-registration with e-form: https://elomake3.uta.fi/lomakkeet/827/lomake.html?rinnakkaislomake=registration

Note! The course starts on Tuesday 1st of September at 12.15!

Registration by e-form

Registration By e-form by October 15.

The course covers fundamental concepts and methods in epidemiologic research, including planning and conducting epidemiologic studies, design strategies, disease occurrence and exposure measurement, statistical associations, bias, confounding, effect modification, causality, and different epidemiological study designs.

Prior studies: The course BIOMJ016 and knowledge of basics in R-computing.

The purpose of the course is to present the principles of infectious disease epidemiology. Lectures giving theoretical background information and practical examples are combined with authentic case studies where participants will get hands on experience in Field Epidemiology.

The course covers fundamental concepts and methods in epidemiologic research, including planning and conducting epidemiologic studies, design strategies, disease occurrence and exposure measurement, statistical associations, bias, confounding, effect modification, causality, and different epidemiological study designs.

An
introduction to epidemiologic data analysis using the statistical programme R.
Course will cover basic statistical inference of the fundamental epidemiologic
study designs. An introduction to the some more advanced methods concerning
statistical analysis of dependent observations and long-term survival analysis
are also presented.

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

Note! No teaching on weeks 5 (starting 1 Feb) and 8 (starting 22 Feb)!

The course covers the most
important statistical models for drawing scientific inferences from
longitudinal data. Topics include: design and exploration of longitudinal
studies, linear and generalized (mixed effects) linear regression models for
different types of outcomes.

Pre requirements: Basic knowledge of most common regression models and R

The course is offered every other year.

The cancer epidemiology course consists of several themes like: biology of cancer, coding and registration, prevention, diagnostics and treatment of cancer, trends, prediction and survival of cancer, radiation and cancer, medication and cancer, work and cancer, screening of cancer, and registry based studies on cancer.

The course is based on lectures and discussion with different lectures from the Finnish Cancer Registry and School of Health Sciences.

The aim of the course is to be able to have basic knowledge of cancer as a disease, how it is registered and coded, what kind of preventive and early diagnostics are in use, and how to use register data in research and in policy making.

29.3.2016 Nea Malila, biology, registration, prevention
31.3.2016 Nea Malila, diagnostics, treatment screening
1.4.2016 Anssi Auvinen, prostate cancer screening
6.4.2016 Nea Malila, cancer incidence presentation
7.4.2016 Sirpa Heinävaara, Predicting cancer burden
7.4.2016 Karri Seppä, Survival trends
8.4.2016 Tytti Sarkeala, breast cancer screening
8.4.2016 Ahti Anttila, cervix cancer screening
20.4.2016 Anssi Auvinen, ionising radiation
21.4.2016 Eero Pukkala, registry based studies, work and cancer
22.4.2016 Anssi Auvinen, non-ionising radiation
22.4.2016 Miia Artama, medication and cancer

This intensive, 4-day seminar course willintroduce a variety of practical analytical approaches for addressing threats to validity in observational studies. Specific topics will include the limitations of traditional hypothesis testing in observational epidemiology, modern approaches to detecting and attenuating confounding, probabilistic correction for variable misclassification, and handling of missing data. These topics will be taught as non-technically as possible, but references and programming resources will be provided to allow for rigorous application of the methods.

Epidemiology, prevention and control of chronic, non-communicable diseases such as diabetes and cardiovascular diseases; nutritional epidemiology (e.g. measurement of dietary intake in epidemiologic studies).

Students who will complete all parts of the course will earn 4 ECTS. Students who complete other parts of the course except the seminar in Helsinki (Part IA) will earn 3 ECTS.

There will be some reading or other homework before a part of the lectures and practicals. The students will keep a 2-day dietary record before the last practical.

In the academic year 2015-2016 the course DPHSF502 Doctoral course in health policy will be replaced by the course HEAPH03 Health Care Systems and Management: https://www10.uta.fi/opas/teaching/course.htm?id=30331
Doctoral students are required to participate in 50% of the lectures and in addition to write a literature essay as instructed by the teacher during the course.

The course DPHSF502 Doctoral course in health policy will not be organized in the academic year 2015-2016. Doctoral students can replace it with parts of the course HEAPH03 Health Care Systems and Management.

This course invites students in various stages of their doctoral thesis to think through, write and process the ethical questions and themes in their own ongoing research projects. It provides a compact knowledge package on ethical issues concerning the research design, data collection/field work and writing-up phases. The course consists of lectures, discussion & student presentations in class and assignments.

Learning outcomes: After the course, students will

- be better equipped to think about and deal with ethical issues at different phases of their research projects
- have skills to discuss and identify issues concerning the ethics both in relation to research participant and the academic community (treatment of participants, informed consent, data lifespan, publication and ethical reporting)
- have knowledge on the key guidelines concerning ethical conduct and know where to go for further information
- have practical tools and means for the writing-up of ethical question in the doctoral thesis.
- have access to an information package on ethics
- know the basic functions of Turnitin plagiarism checker programme

Course Schedule:

- lectures 15.3., 22.3., 5.4.2016 at 12-16
- workshop 12.4., 19.4. at 10-16

Place: Arvo A210, in Kauppi campus

Enrolment in NettiOpsu. At the maximum 20 students. Selection method is draw. Please check the selection result from NettiOpsu after the enrolment period.

Completion mode: Those accepted to the course are required to send in a pre-assignment (max one page A 4) through Moodle. Active participation is required. Every student will give a 15-20 minutes presentation in the workshop. Every student will write an 6-7 pages essay after the course.

THE PRE-ASSIGNMENT: Please include the following in short:
1)    Your name & discipline
2)    Your Research topic
3)    Potential ethical issues you have encountered or anticipated to encounter as part of your doctoral research and solutions you may already have in mind
4)    Any issues relating to research ethics you wish to be discussed during the course
5)    Please indicate if you are not willing to present some key ethical themes concerning your own doctoral work, otherwise it is presumed that you could present briefly during the course the ethical questions that you are facing during your research. There is a short (max. 3 page) writing task for those who don’t deliver a brief oral presentation during the course.