COACHNING FöR RåDGIVARE INOM NATURRESURSOMRåDET

The course is broken down into: Basic Bayesian concepts Selecting priors, deriving some equations Bayesian inference, Parametric model estimation Sampling based methods Sequential inference (Kalman filters, particle filters) Approximate inference, variational inference Model selection (missing data) Bayesian deep neural networks

The course aims to provide knowledge about precision technology for Livestock production (Precision Livestock Farming, PLF) including its principles and frameworks, design and evaluation with a focus on end-user perspective and commercialisation.

Den här kursen vänder sig till dig som vill utveckla och stärka förmågan att arbeta strategiskt med utveckling och planering - för att öka dina chanser att uppnå verksamhetsmål och skapa resultat. Här får du träna förmågan att arbeta med verktyg för strategiutveckling som skapar engagemang. Vi går igenom strategiforskningens utveckling med tyngdpunkt på vad som kännetecknar dagens forskning. Du får diskutera och analysera centrala begrepp, modeller och verktyg samt hur dessa används inom praktik och forskning. En stor del av kursen handlar om att pröva och analysera verktyg som adresserar frågor som: Hur kan vi kan förstå företagets omvärld och invärld? Hur kan vi staka ut en strategisk inriktning som håller över tid och hur kan vi i nästa steg få saker och ting att hända? En annan viktig del i kursen är erfarenhetsutbyte och därför kommer kursinnehållet också delvis att anpassas utifrån kursens deltagare utifrån deras behov, önskemål och tidigare erfarenheter. Vår förhoppning är att deltagarna, efter avslutad kurs, har fått nya perspektiv på strategisk utveckling och fler verktyg i sin verktygslåda.  Denna kurs hjälper dig att stärka din kompetens kring strategiskt tänkande och därtill knutna arbetssätt vilket också stärker möjligheterna att ta ledande roller knutna till strategiarbete. Kursen vänder sig till dig som är yrkesverksam och passar dig som är ledare, projektledare, affärsutvecklare och innovationsledare och vill bli bättre på att arbeta strategiskt med utveckling och planering. Kursen är på avancerad nivå och ger 5 högskolepoäng. Undervisningen genomförs på distans via Canvas som är Karlstads universitets lärplattform. Kursen är avgiftsfri. Antal platser är begränsat.

The course will give insights in fundamental concepts of machine learning and actionable forecasting using predictive analytics. It will cover the key concepts to extract useful information and knowledge from big data sets for analytical modeling

This course will teach you how to build convolutional neural networks. You will learn to design intelligent systems using deep learning for classification, annotation, and object recognition.

The course is given by Chalmers University of Technology. VIDEOCLIP - TEASER: Take two min to get a sense of the course and hear why you should take it: https://play.chalmers.se/embed/secure/iframe/entryId/0_wvsk9cji/uiConfId/23450493/st/0 FOR WHO: The course aims at professionals working with or affected by ongoing sustainability transitions. For example, the course targets professionals such as: Those who work with environmental policy related business development and sustainability practice in larger corporations. Examples of typical sectors include transport, energy, food and manufacturing. Civil servants within authorities or municipal operations who are responsible for issues with climate relevance or circular economy. Professionals working with development cooperations, or in intergovernmental organizations with related issues. Applied researchers who want to get an introduction to the subjects. WHAT AND WHY: In this course your invited to learn from the experience and knowledge of a world-leading expert in environmental policy instruments (Thomas Sterner) who, with the help of pedagogical experts, has cherry-picked content from a master's course at Chalmers and tailored the course structure for you as a professional. In the wake of the increased pace of ongoing sustainability transitions, environmental policies are becoming more comprehensive, complex and stringent. The purpose of this course is to give professionals an introduction to the portfolio of environmental policy instruments and equip them with tools to understand the mechanisms of the respective instruments and learn to work strategically with them in their own practice. The course will focus on topics such as climate change, the circular economy, and the energy crisis. To learn from the experience of thought leaders from several major industries, you will be able to view interviews with experts who talk about the role and implications of policies to their work and the sustainability transitions of their industry. WHEN AND HOW: All parts of the course are free of charge, and you choose when and at what pace you want to complete the course elements. The course will be given in English, and the estimated time spent is 35-50 hours, depending on how much of the optional material you chose to study. The course offers you the possibility to tailor the learning experience as it fits best with your professional development. Therefore, it is recommended to read the course together with colleagues, to share joint learning and anchor it in your daily work. However, this is not a requirement. WHAT YOU WILL LEARN: The course gives a broad overview of the economic concepts underlying environmental policymaking. You will get insights into the practicalities of environmental and climate policies, both from the perspectives of those implementing the policy and of those facing new regulations. On completion of the course, you will for example be able to: describe and recognize how environmental policy instruments work. identify and relate to which environmental policy instruments are key to climate action and circular economy efforts in one's own sector and organization. The course offers a dynamic learning environment with short videos, quizzes, exercises, and resources.