LUOVA-205 LINKING DATA AND ECOLOGICAL MODELS (4 ECT)
March 2018, two times 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 is suitable for both PhD and undergraduate students (from the 3rd year on), however, with the requirement of basic knowledge in statistics (e.g. "Tilastotiede I & II", or the compulsory statistics courses from a Master's programme).
Venues and timing:
Will be announced later
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: Students passing the course are given the grade 1–5. The grade is based on three home exercises (60%) and the final home exam (40 %).
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.
Resigtration: 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.
Resigtration: Registeration will open on February 2018.
LUOVA-504 LUOVA CAREER SEMINAR
Time and place will be announced later, probably on March 2018, Viikki Campus
In the LUOVA Career Seminar we will hear from Luova alumni about their post-PhD career trajectory to their current non-academic jobs.
Our speakers will be announced later.
LUOVA-001 ORIENTATION (0 ECT)
(time and place will be announced later)
At the end of January 2018
At the end of April 2018