TeSS Training eSupport System

Course design: Considerations for trainers – a Professional Guide

This Professional Guide in the Resources for Training Trainers series introduces a structured approach to course design, highlighting the importance of articulating learning outcomes commensurate with the cognitive complexity of the target learning, prior to devising learning experiences and...

Keywords: Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material

Course design: Considerations for trainers – a Professional Guide https://f1000research.com/documents/9-1377 http://tess.elixir-uk.org/materials/course-design-considerations-for-trainers-a-professional-guide This Professional Guide in the Resources for Training Trainers series introduces a structured approach to course design, highlighting the importance of articulating learning outcomes commensurate with the cognitive complexity of the target learning, prior to devising learning experiences and course content. The specific focus here is on face-to-face activities, but the guidance is also relevant for those designing online courses. Allegra Via Patricia Palagi Jessica Lindvall Rochelle E. Tractenberg Teresa Attwood The GOBLET Foundation Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material Training instructors Trainers Training Designers Anyone who wants to become a good trainer or teacher teachers

ELIXIR EXCELERATE Train the Trainer

This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation *...

Keywords: Train the trainer, Pedagogy, Course development, Course design

Resource type: Training materials

ELIXIR EXCELERATE Train the Trainer https://github.com/TrainTheTrainer/ELIXIR-EXCELERATE-TtT http://tess.elixir-uk.org/materials/elixir-excelerate-train-the-trainer This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation * Lesson, course, and materials design * Assessment and feedback in training and teaching Allegra Via Patricia Palagi Pedro Fernandes Sarah Morgan Train the trainer, Pedagogy, Course development, Course design Trainers Training instructors Training Designers teachers

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics https://bioinformaticsdotca.github.io/metabolomics_2018 http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-6-future-of-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. David Wishart Researchers Post-Doctoral Fellows Graduate students Biologists, Genomicists, Computer Scientists

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data https://bioinformaticsdotca.github.io/metabolomics_2018 http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-3-databases-for-chemical-spectral-and-biological-data Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. David Wishart Researchers Post-Doctoral Fellows Graduate Students Biologists, Genomicists, Computer Scientists

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation https://bioinformaticsdotca.github.io/metabolomics_2018 http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-2-metabolite-identification-and-annotation Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. David Wishart Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics https://bioinformaticsdotca.github.io/metabolomics_2018 http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-1-introduction-to-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. David Wishart Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics