Browse Public Designs
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
-
New learning design - testing template
Description:
Here I will include a description. This test is for Week 3 Activity 2
Intended Learning Outcomes:
- this is the first learning outcome
-
Learning metabolic concepts by Flipped Classroom
Description:
This learning design is implemented, as certain metabolic concepts pose a challenge to many of the students at this course.
The learning design includes Pre-class activities as preparation, In-class activities allowing students to work in groups on difficult concepts, and a post-class activity for assessment of learning.Intended Learning Outcomes:
- Describe central metabolism, including glycolysis, citric acid cycle and oxidative phosphorylation.
-
eLessons for Color in Data Visualization
Description:
-
Statistical Analysis of a dataset
Description:
The following module aims to introduce the basic principles and fundamental techniques of statistics and machine learning for data analysis. After the module they will have knowledge of probability theory, statistics to model uncertainties in engineering problems. The students will be able to do statistical analysis of datasets, and they will apply to their own chosen real-world dataset.
It will be used a blended learning approach including in-class and out-of-class activities, following the STREAM model. A 'feedback loop' will be used, shifting between 'out-of-class' content (self-study, preparatory activities, project assignment) and 'inThe 'out-of-class' activities will be used to provide feedback of the students' learning, and to adjust the 'in-class' activities (lectures, audience response systems, peer feedback).
Intended Learning Outcomes:
- understand the statistics theories for analyzing data
- apply statistical tools to a chosen dataset
- explain to the peers the project assignment
- improve the analyses after peers feedback
-
Long Distance Supervision for MSc students
Description:
This learning design supports the supervision of MSc students that do part of their practical laboratory work at a research institute or industry (host institution) different from Aarhus University. This is relevant for all MSc students at AU-TECH. The learning design also outlines a strategy for writing a shared manuscript (either research paper or review paper) with a MSc student that can be published in a scientific journal. This LDT follows the stream model, leaving room for extensive dialogue between the supervisors and the students.
Intended Learning Outcomes:
- Understand the principles behind the experiments performed at the foreign intitution
- Relate the different research concepts so that a novel idea takes central stage of the MSc thesis
- Write in a correct and scientifically correct manner with the aim of communicating the MSc thesis outcomes in the form of a research or review paper
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55