The date and time when registration for a particular course opens in WebOodi is given in the course announcement. Once the call is opened a deadline for registrations is given. Usually the call for applications opens approximately one month and closes approximately two weeks before the course starts. These are only guidelines - always check the deadlines for the course you are interested in! Please follow your email (luova-students mailing list) and the doctoral programme homepages to stay up-to-date on LUOVA courses.
Courses and events
In addition to the doctoral thesis, 30 credits of scientific content studies and 10 credits of general competence studies must be completed.
To stay up-to-date on each academic year's teaching, please follow your email, LUOVA's webpages and WebOodi.
If there are more applicants than we can take students will be prioritized as follows:
- LUOVA doctoral candidates
- Doctoral candidates in other YEB doctoral programmes
- Doctoral candidates at the member and partner institutions
- Other doctoral candidates at the University Helsinki
- Doctoral candidates from elsewhere
- Research staff and undergraduate students
- Others interested
Please note that in some cases we may prioritize docotral candidates for whom the course is highly relevant, so it is important to specify in the application why you want to take the course. If pre-required knowledge is given priority is given to applicants who fill the requirements.
If there are more applicants within a category than we can take, participants will be selected based on the order they applied for the course.
cancelling your seat
LUOVA courses are vey popular and there are often many applicants placed on a waiting list. We want to give the seats to those who actually are able to attend. Hence, after a seat on a course has been offered to an applicant, cancellations must be done by emailing the programme coordinator. If you are not participating after all, please free your seat to the next person on the waiting list. Failing to cancel and eventually not showing up on the course may affect your chances of being accepted on future courses.
LUOVA day 2017
SUSTAINABLE DEVELOPMENT, ESPECIALLY WITH RESPECT TO BIO-ECONOMICS, POLICY-MAKING, AND WILDLIFE CONSERVATION WITH THE BIODIVERSITY TARGETS FOR 2020 IN SIGHT
24 October 2017 at 10:00-17:30, Suomen laki hall (PIV, 117), Porthania building, City Center Campus
Symposium dinner at Natural History Museum (Pohjoinen Rautatiekatu 13) at 18:00-21:00
Sustainable development contains the relationship between humans and their natural environment. It links human development in a way that natural systems are able to provide the resources and ecosystem services upon which humans and biodiversity relies on. The symposium aims to map the facts, challenges and resolutions for how the sustainable development can meet the biodiversity targets 2020 in economics, policymaking and conservation.
The doctoral programme in wildlife biology research welcomes researchers, students, natural resource managers, policymakers, stakeholders as well as other interested parties to join the programme's symposium to learn more about sustainable development.
Participants are kindly asked to register by October 16th, 2017. To register, please fill in this form.
Prof. Lotta Sundström, LUOVA: Opening words
Dr. Fiona Provan, International Research Institute of Stavanger, Norway: Sustainable food production - future trends
Coffee & sandwiches
Prof. Olli Tahvonen, University of Helsinki: How to integrate economics and ecology in forestry, fisheries and reindeer husbandry?
Dr. Katriina Soini, Natural Resources Institute Finland (LUKE) and University of Helsinki, HENVI: Conservation of agricultural ecosystems in changing global system: A perspective of sustainability science.
Doctoral candidate, LUOVA: Ulisses Moliterno de Camargo: Automated species identification and rapid biodiversity assessment in Brazilian Amazon
Dr. Sampo Soimakallio, Finnish Environment Institute (SYKE): Climate change mitigation – an opportunity or challenge for wood utilization?
Prof. Mikko Mönkkönen, University of Jyväskylä: Biodiversity and ecosystem services of forests in the era of bioeconomy
Panel discussion: Does sustainable development go hand in hand with conservation?
Prof. Mikko Mönkkönen, University of Jyväskylä
Dr. Elisa Ravagnan, International Research Institute of Stavanger, Norway
|Head of R&D in Bioeconomy Marianne Fred, NOVIA University of Applied Sciences|
Prof. Juha Hiedanpää, Natural Resources Institute Finland (LUKE)
The Head of Unit (hunting and recreational fishing) Vesa Ruusila, Ministry of Agriculture and Forestry
Symposium dinner at Natural History Museum
The Chair of the Committee on Environment Satu Hassi, The Green Party: Science should be listened – even if lobbyists do not like it
The symposium and the dinner party at Natural History Museum are free of charge (lunch at own cost) and open to the public. For further information, please contact the doctoral programme coordinator Mia Vehkaoja (luova-info(at)helsinki.fi or 050-4484434).
Participants are kindly asked to register by October 16th, 2017. To register, please fill in this form.
LUOVA-302 INTRODUCTION TO LINEAR MIXED EFFECTS AND GLMM WITH R (2 ECTS)
13-17 November 2017, 09:00-17:00
Place will be announced later
Teachers: Dr. Alain F. Zuur and Dr. Elena Ieno, Highland Statistics
The course starts with a basic introduction to Bayesian statistics and MCMC and continues on with linear mixed effects models to analyze nested data (e.g. multiple observations from the same animal, site, area) as well as generalized linear models (GLMM) to analyze nested count data, binary data, proportional data and (strictly positive) continuous data.
During the course several case studies are presented, in which the statistical theory is integrated with applied analyses in a clear and understandable manner. Throughout the course MCMC is executed in JAGS (free) via the package R2jags from within R. Bayesian and frequentist (lme4, nlme, glmmADMB) analyses are compared.
Basic introduction to Bayesian statistics and MCMC. Linear mixed effects models. Poisson and negative binomial GLMM. Binomial GLMM. Gamma GLMM JAGS. R2jags. lme4. nlme.
- Introduction to Bayesian statistics and MCMC
- One exercise
Suggested reading: Chapter 1 in Zuur et al. 2012
Tuesday & Wednesday
- Linear mixed effects models for nested data using MCMC
- Random intercept and slope models
- Sketching fitted values
- Comparing MCMC and lme4/nlme results
- Three exercises
Suggested reading: Chapter 4 in Zuur et al. 2013
Thursday & Friday
- GLMM for nested count data, binary data, proportional data and strictly positive data (Poisson, negative binomial, binomial, Gamma distributions) using MCMC
- Crossed random effects
- 2-way nested data
- Five exercises
Suggested reading: Chapters 2, 3, 5 - 7 in Zuur et al. 2013
This course will be taught in R and is a continuation of YEB’s Data exploration, regression, GLM & GAM course.
Chapter 1 in Zuur, Saveliev & Ieno (2012): Zero Inflated Models and Generalized Linear Mixed Models with R. The chapter will be provided for participating students.
Additional reading (not obligatory)
Chapters 2 - 7 in Zuur, Ieno & Hilbe (2013): A Beginner's Guide to GLM and GLMM using MCMC with R. The chapters aren't provided for participating students. This book can be bought at www.highstat.com. The course can be followed without purchasing the book.
- Fluency in basic R
- Data exploration
- Multiple linear regression
- Generalized linear modelling (Poisson, negative binomial, Bernoulli, binomial, overdispersion)
How to apply?
The enrollment to the course will be in WebOodi on 1 October to 31 October. After you have enrolled in WebOodi, please contact the coordinator of LUOVA and request for the preliminary material. You'll be sent two exercises that you need to complete before you can be accepted to the course. Students accepted on the course will be contacted in the beginning of November the latest.
Priority will be given to students who have taken Alain Zuur and Elena Ieno's Data exploration, regression, GLM & GAM course either at the University of Helsinki or elsewhere. Students who have acquired similar knowledge in some other way may also be accepted.
In case there are more applicants than we can take, the relevance of the course to the student, in addition to the standard participation criteria, will be taken into account when choosing participants.
Quota: 20 students
LUOVA-507 LUOVA Workshop: The Art of Communicating Science (2 ECTS)
22-28 November 2017, 09:00-17:00
Place: Wednesday 22.11.17, Porthania P723
Thursday 23.11.17, Porthania P674
Friday 24.11.17, Porthania P722 + Unitube studio in Aleksandria Monday 27.11.17, Porthania P674
Tuesday 28.11.17, Porthania P674
Teachers: Peter Spinks, international science writer and broadcaster
Quota: 25 students. In case there are more applicants than we can take, the participants will be chosen according to the standard participation criteria.
Registration: Please register in WebOodi. Registration is open and ends on 8 November 2017.
Please see also course's Moodle page
LUOVA Minisymposium Microbiome & Human Health
30 November at 1pm
Place: Lecture room C1, Latokartanonkaari 5
1 pm Prof. Harald Renz, Philipps University of Marburg, Microbes, tolerance and asthma development
1.30 pm Docent Anne Salonen, Research Programs Unit, Faculty of Medicine, University of Helsinki, Microbiota in non-communicable diseases
2 pm Docent Lasse Ruokolainen, Department of Biosciences, University of Helsinki, Hunt for the origin of allergy: mechanistic linkage between acquired microbiota with immune tolerance?
2.20 pm Dr. Noora Ottman, Karolinska Institute, Exposure to soil in the living environment modifies gut microbiota and enforces immune tolerance in a mouse model
2.40 pm Coffee
3.15 pm Docent Justus Reunanen, Cancer and Translational Medicine Research Unit, University of Oulu, Malignancy Specific Microbiotas in Colorectal Cancer and in Inflammatory Bowel Diseases; a Novel Targets for Therapies
3.40 pm Docent Aki Sinkkonen, Department of Environmental Sciences, University of Helsinki, Can environmental pollution have adverse effects on health-associated environmental microbiome?
4 pm Prof. emeritus Tari Haahtela, Helsinki University Central Hospital, Modern life, microbiota and allergic diseases
~4.30 pm Symposium ends
Jenni Lehtimäki CHAIR
6 pm Symposium dinner
Welcome to the half-day minisymposium Microbiome & Human Health!
This symposium is intended for all who are interested about the importance of microbial communities in human bodies. This symposium focuses on relations between microbiome and non-communicable diseases, especially allergies. Speakers are professors Harald Renz and Tari Haahtela, docents Anne Salonen, Lasse Ruokolainen, Justus Reunanen and Aki Sinkkonen, and doctor Noora Ottman. Find program and other details from the attached file.
The places for this symposium are limited. Please register latest November 26thby filling the internet-form (link below):
LUOVA-301 REVISE YOUR BASICS OF STATISTICS (1 ECT)
12 and 13 December 2017 at 10-17
Place: Infocenter atk 138, Viikki Campus
Teacher: Dr. Dimitri Stucki, University of Helsinki
This brief course will refresh your knowledge on the basics of statistics and the philosophy of science. Topics covered are:
- Hypothesis testing
- T-test and its non-parametric companions
- ANOVA and its non-parametric companions
The structure of the two-day course is built on introductory lectures to each topic, coupled with computer exercises run in R. During the course we may also briefly cover topics suggested by the students and not listed above. The course will keep it simple.
Aim: After completing the course participants:
- are familiar with the basics of statistics and philosophy of science,
- understand the logic of statistical hypothesis testing and know how to formulate a null hypothesis and the alternative hypothesis,
- are able to use simple statistical methods and tests, and
- can independently analyse data and test hypotheses.
Pre-required knowledge of statistcs: Participants should have previously taken a course on basic statistics or otherwise be familiar with the above methods as the aim of this course is to revise your skills, not to start from the beginning.
Pre-required knowledge of R: Previous experience of R is not required but, if not already familiar with R, participants should have an open mind and be ready to run the course exercises in R as instructed keeping in mind that the main purpose of this course is to refresh one's memory on the basics of statistics. The use of R will be taught on YEB's Data, graphics and programming in R course.
Recommended for the following courses: This course is not compulsory but highly recommended to those who are unsure of their statistics skills and are planning to take YEB's Data, graphics, and programming in R, and Data exploration, regression, GLM and GAM.
Quota: 23 students. In case there are more applicants than we can take, the relevance of the course to the student, in addition to the standard participation criteria, will be taken into account when choosing participants.
Registration: Please register in WebOodi. Registration is now open and ends on 10 December at 23:59.
LUOVA-001 ORIENTATION (0 ECT)
Time: 23 January 2018 at 10-12
Place: B building, class room atk 443
Registration: Please register in WebOodi
LUOVA-305 LINKING DATA AND ECOLOGICAL MODELS (4 ECT)
March 2018, twice a week from 9 am to 3 pm. Viikki campus
Teacher: Senior Researcher Andreas Lindén, Coastal Zone Research Team, Novia University of Applied Sciences
This course gives a broad view of the techniques, principles and philosophy of modern statistics, using gentle examples from the field of ecology. We discuss different ways of including randomness in statistical models, learn the concept of likelihood functions, and go through different general procedures for estimating parameters and their uncertainty. We learn the basic principles of frequentist, information theoretic and Bayesian statistics, and compare their results.
The aim is to give the participants the basic knowledge needed for flexibly using statistical software. The course should equip the student with the theoretical background and terminology needed for understanding methods commonly used in research papers, including statistical analyses going beyond the basics. We do not concentrate on introducing a wide range of models and experimental designs, but the course should indeed help to independently apply and learn to use more specific statistical tools that can be looked-up from other sources.
Course contents: The course consists of lectures, computer exercises (using software such as Excel and R) and independent work at home. There are three home exercises and one home exam.
- What are statistics?
- Stochastic processes and probability distributions
- The likelihood function
- Frequentist inference
- Computing intensive simulation methods
- Information theoretic inference
- Bayesian inference
- Comparison of inferential approaches
Pre-required knowledge: The course requires knowledge about basic statistics, such as the compulsory statistics courses from a Master's programme (e.g., "Tilastotiede I" and "Tilastotiede II" at University of Helsinki).
Venues and timing:
Bolker, B. M. (2008): Ecological Models and Data in R. — Princeton University Press.
Burnham, K. P. & Andersson, D. R. (2002): Model selection and multimodel inference: a practical information theoretic approach. 2nd edn. — Springer Verlag.
Gelman, A., Carlin, J. B., Stern, H. S. & Rubin D. B. (2004): Bayesian Data Analysis. — Chapman & Hall.
Grafen, A. & Hails, R. (2002): Modern Statistics for the Life Sciences. — Oxford University Press.
Hilborn, R. & Mangel, M. (1997): The Ecological Detective: Confronting Models with Data. — Princeton University Press.
Examination: Based on two home exercises (50 %) and the final home exam (50 %), students are given the grade "passed" / "fail".
Quota: 25 students. In case there are many more applicants than we can take, the relevance of the course to the student will also be taken into account when choosing participants in addition to the standard participation criteria.
Registration: Registration will open on January. Please register in WebOodi.
LUOVA-503 PREPARING JOB APPLICATIONS, AND ATTENDING JOB INTERVIEWS (2 ECT)
March-April 2018, Viikki Campus
Course coordinators: will be announced later
This course will prepare you for applying for a job outside academia. You will learn how to write a cover letter for a job application and get real life experience from a job interview. Students participating on this course will get three to four job advertisements and prepare an application to two of them. First, the applications will be sent to the University Career Services that will give feedback as well as general tips for job interviews. After this students will have a few days to edit their applications based on the feedback they received. The edited applications will be send to the employers who will interview the students individually and give them feedback on how they did in the interview. After the interviews there will be a final seminar.
The employers include a governmental research institute, a nature conservation organization, and two private companies. Please note that the vacancies described in the advertisements are created for the purpose of this course only and are not open for applications in real life. Nevertheless, the aim is to keep the whole application procedure as realistic as possible.
Schedule (dates will be announced later):
*The course starts: We will go through the job advertisements and give general tips. A person from the Career Services will give advice. Students will rank the job adverts in order of their preference.
Students will be informed which jobs they will prepare the application for.
Students will return their job applications to the Career Services.
*Feedback session with Career Counselor Leena Itkonen from the Career Services, and good tips for the coming interviews.
Students will submit their final applications to the employers.
Interviews will take place at the employers' offices.
* Students must be present at these sessions
Quota: 10-12 students. If more students apply, the participants will be chosen based on LUOVA's participation criteria. Additionally, students close to defending their PhD theses may be prioritized over those who have just started their postgraduate studies.
Registration: Registeration will open on February 2018.
LUOVA-504 LUOVA CAREER SEMINAR
Time and place will be announced later, probably in March 2018, Viikki Campus
At the LUOVA Career Seminar Luova alumni will present their post-PhD career trajectory to their current non-academic jobs.
Our speakers will be announced later.
Courses offered by the Doctoral School in Environmental, Food and Biological Sciences (YEB) teach skills necessary for all professional researchers and experts in other scientific positions regardless of their scientific background. Please refer to the YEB doctoral school website for the most recent information on available courses. Further information about the courses can also be obtained from YEB's coordinator.
It is also advisable that all LUOVA students join the YEB mailing list to stay up-to-date on YEB activities. Information on joining the mailing list is available here. The most popular courses may fill up in few hours so follow actively your email and YEB website to get the newest information on course registration.
Many courses relevant for LUOVA doctoral candidates are advertised on the EvolDir mailing list. To stay up-to-date on international courses as well as conferences and postdoctoral positions, joining EvolDir is recommended to all LUOVA members.
In addition to EvolDir you may find interesting courses among these:
- PhD courses organised by the YEB doctoral school
- PhD courses organised by other doctoral programmes and schools
- LUOVA's partners' courses
- Information skills courses by the Helsinki University Library
- Career planning courses by the University of Helsinki Career Services
- Postgraduate courses at EBC
- Research School Ecology and Evolution - ask for a reduced course fee for LUOVA students
- Analysis forum phidot.org
- MSc courses at the member departments (see studies guidebooks for more information)
If you know of other relevant course organisers please let the LUOVA coordinator know and they can be added on the list.