Page 3 of 16
| Course title | City | Start date | Credits |
|---|---|---|---|
| AI for advanced scientific and academic writing | Aarhus | April 2027 | 1,6 ECTS |
|
Graduate School of Health Sciences at Aarhus University
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applicat |
|||
| AI for advanced scientific and academic writing | Aarhus | May 2027 | 1,6 ECTS |
|
Graduate School of Health Sciences at Aarhus University
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applicat |
|||
| AI for advanced scientific and academic writing | Aarhus | September 2027 | 1,6 ECTS |
|
Graduate School of Health Sciences at Aarhus University
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applicat |
|||
| An introduction to causal directed acyclic graphs (DAGs) | Aarhus | April 2027 | 2,1 ECTS |
|
Graduate School of Health Sciences at Aarhus University
The course aims to provide participants with an introduction to the use of directed acyclic graphs (DAGs) as a tool to control for confounding and other sources of bias. Moreover, the course will include a simple method to reason about the directions of p |
|||
| Applied Machine Learning in Health Sciences | Aarhus | April 2027 | 3,2 ECTS |
|
Graduate School of Health Sciences at Aarhus University
The Applied Machine Learning in Health Sciences course introduces widely used machine learning techniques and enables the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student achieves an unde |
|||
| Applied Machine Learning in Health Sciences | Aarhus | November 2027 | 3,2 ECTS |
|
Graduate School of Health Sciences at Aarhus University
The Applied Machine Learning in Health Sciences course introduces widely used machine learning techniques and enables the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student achieves an unde |
|||
| Artificial intelligence for scientific and academic writing | Aarhus | September 2027 | 1,5 ECTS |
|
Graduate School of Health Sciences at Aarhus University
This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process. |
|||
| Artificial intelligence for scientific and academic writing | Aarhus | October 2027 | 1,5 ECTS |
|
Graduate School of Health Sciences at Aarhus University
This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process. |
|||
| Artificial intelligence for scientific and academic writing | Aarhus | March 2027 | 1,5 ECTS |
|
Graduate School of Health Sciences at Aarhus University
This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process. |
|||
| Artificial intelligence for scientific and academic writing | Aarhus | March 2027 | 1,5 ECTS |
|
Graduate School of Health Sciences at Aarhus University
This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process. |
|||