Master's Programme in Life Science Technologies (LifeTech) Prof. Juho Rousu Director of the Life Science Technologies programme 3.1.2017
Life Science Technologies Where Life Sciences meet with Technology Technological advances and methodological development are increasingly important part of research in Life Sciences Technological innova7ons are an essen7al part of modern healthcare, well-being and bioeconomy Digitaliza7on is transforming all areas of life, including life sciences Joint Programme for Life Sciences in Aalto In Aalto there is extensive research in technologies related to life sciences, biosciences, neurosciences, health and wellbeing technologies, LST brings together all the ac7ve players and offers a coordinated mul7disciplinary programme in the field
Health Technology is #1 high-tech export field in Finland HS 6.5.2014
Digitalization in Healthcare revolution in progress
Bioengineering & synthetic biology: Millenium prize 2016 for directed evolution Stina Immonen 30.10. 2012 5
Three schools six majors School of Chemical Technology (CHEM) Biosystems and Biomaterials Engineering School of Electrical Engineering (ELEC) Biosensing and Bioelectronics School of Science (SCI) Bioinformatics Biomedical Engineering Complex Systems Human Neuroscience and Technology Common courses (15 cr) Experimental and Statistical methods in Biological Sciences (5cr) Project course in Life Science Technologies (10 cr) 04/01/17 6
Degree structure 04/01/17 7
Siirtymäsäännöt Tietotekniikan pääaineopiskelijoille Siirtyminen ilman lisäehtoja Bioinformatics Complex systems Siirtyminen suorittamalla BioIT-sivuaine Biomedical engineering Human Neuroscience and technology Biosensing and electronics (ELEC) Biosystems and Biomaterials Engineering Tarkemmat tiedot: https://into.aalto.fi/pages/viewpage.action?pageid=17329577 30.10. 2012 Stina Immonen 8
BIOINFORMATICS MAJOR
People Pekka Marttinen University lecturer Stina Immonen 30.10. 2012 11
COMPLEX SYSTEMS MAJOR
Complex Networks in a Nutshell We study complex networks from different domains: social networks, the human brain, transport networks, genetic systems Examples of research questions: Flowchart for a typical study 1. Data on a network is collected apply mathematical & computational tools to understand network structure, its evolution, and its effects on dynamical processes on networks How do our social networks change in time? Are there features that do not change? Why? How to design a network (e.g. of public transport) that is very errortolerant and resilient to problems? 2. The structure and time evolution of the network are examined; these reveal a lot about the function of the network =0 = 0.5 3. Simulations are conducted to understand how network structure affects processes (e.g. information flow) Contact: Jari Saramäki = 0.1 =1
People 30.10. 2012 Stina Immonen 14
Kärkiopiskelijaohjelma Tietotekniikan laitoksen kärkiopiskelijaohjelma http://cs.aalto.fi/en/studies/research_opportunities_for_students/ honours_programme/) Tarkoitettu lahjakkaille tutkimusorientoituneille opiskelijoille Ohjelmaan pääsy edellyttää erinomaisesti edenneitä kandiopintoja (arvosanataso väh. 4.0) sekä vahvistettua MSc HOPS:sia. Ohjelman opiskelijat pääsevät osallistumaan laitoksen tutkimusryhmien toimintaan opintojen ohessa osapäiväisesti
Tohtoripolku Uusi ohjelma Syksystä 2017 alkaen, pilotti kolmessa pääaineessa, laajennee jatkossa Machine Learning and Data Mining (CCIS-ohjelma) Bioinformatics (LifeTech) Complex Systems (LifeTech) Tarkoitettu lahjakkaille tutkimusorientoituneille opiskelijoille, kuten kärkiopiskelijaohjelma Tavoitteena tohtorin tutkinto 5 vuodessa kanditutkinnon jälkeen DI-tutkinto tarkistuspisteenä Lisätietoja valintaprosessista kevään 2017 aikana