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The course is divided into six modules:

• Research Data Management and Databases
• Data and Models
• Starting with MySQL and Workbench
• Structuring and Querying Data
• Storing and Processing Data with Python
• Working with data repositories

Next, more practical insights are given, mainly about:

• Data modeling with E-R and relational schemas
• SQL (mainly DML)
• Working with MySQL and Workbench (modeling)
• Working with publicly available data by modeling
• Importing and integrating data into relational databases
• Working with data schemas and public repositories

After the in-person first session, you will get access to the online learning platform on which all teaching material is available. Here the chat option can be used to contact the trainer. During the three weeks of the course there will be a set of tests, leading to a final grade. The last session will be online.

• After week 1: Online quizzes (10%), three attempts per quiz. Min. score is 6 per quiz.
• After week 2: Two minor assignments (20%). No minimum score. There is one opportunity to resubmit one of the two minor assignments to improve its grade
• After week 3: A final assignment (70%). Min. score is 5. There is one opportunity to resubmit the final assignment if the grade is less than 6. It is mandatory to attend the final assignment (online presentation).

Study load

The total study load is approximately 84 hours (depending on previous experience).

Group size            

5 to 20 participants

Number of credits                                 

3.0 EC

Trainer

You will be trained by one of the professionals of , Utrecht

Course certificate                                

You will receive a course certificate after actively participating in all course sessions and passing the Final Assignment.

This course is free for GSLS PhD candidates. However: free of charge does not mean free of responsibility. Once you have signed up for a course, we expect you to attend. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. This is our policy:

• You may cancel free of charge up to 4 weeks before the start of the course. After this date you can only cancel if you have a GSLS PhD candidate to replace you in the course. Send the name and contact information of your replacement to pcc@uu.nl, at least 2 working days before the start of the course;

• We expect that you actively attend the full course. You have to complete the total E-learning.

• Not meeting the above requirements means you will be charged a no-show fee (€ 111). We will send the invoice after the course has ended. We are unable to make any exceptions, unless you have a valid reason (i.e., illness or death in the family 1^st/2^nd degree or partner). Your supervisor has to send an e-mail to pcc@uu.nl indicating the reason.