---
# System prepended metadata

title: Agenda for 18/03/2021 Metting
tags: [Supervision]

---

###### tags: `Supervision`
# Agenda for 18/03/2021 Metting

## Workload Organization
* There is a shared folder in drive named "PhD Supervision Agenda". Please find my invitation sent to you.
Link: https://drive.google.com/drive/folders/1b6KBmFWMc-1L_Hf_WyKLsJS32wSAxDNq
* Also please find the zotero invitation . I created a group named "PhD Literature" with 3 subfolders.
    * One is the NoBIAS literature uploaded in the project website
    * Second is for Data-Mining group resources
    * Last one is generally for what you suggest and what I intend to have in reading list. 
* I'm new to Zotero and the group is an initial categorization so if you feel it is not unappropriate please update me to use it another way.
Link: https://www.zotero.org/groups/2844476/phd_literature/items/QIPE77KM/library
* Hand on code: I haven't had time to do so yet. But I found some cool implementations. I will keep up with coding next weeks.
* I have had some studies about fariness metrics:
    * E.G. Ninareh Mehrabi et al.: http://arxiv.org/abs/1908.09635
* But I need to study more relative resources for Measuring Fariness and Definitions like "Test Fairness and Counterfactual Fairness"
## Formalities
* The contracts and required docs prepared, signed, and were sent back to the L3S
* The Blue-Card and granting work permit for Berlin (Process still in progress):
    * Next appointment with Foreign Office is on 27.07.2021 and in this scenario After a month I will get Blue-Card and be able to move to Berlin (Beggining of September)
    * Next scenario is: I will try to get appointment from Berlin Foreign Office in parallel too. Maybe It can happen sooner 

## On-Borading Week 
* The poster needs to be discussed and our research direction that we are going to present. I am yet studying to have a better idea for what contents to present.

* Discuss about On-Boarding week Agenda: 
    * The other ESRs and I discussed about the Agenda and our poster presentation. There are some questions for everyone. For example, the order of presentations. Wheter the supervisor and ESR talks are different or the same time.
* I will provide you with the first version of the edited Poster before our meeting on (tomorrow). We discuss it through the meeting and I will finalize it by Firday also send it to you and try to add your feedbacks to that on the weekend.  
* I will also take notes of Salvatore's talk on 23d as my Training

## Courses and Tutorials 
* I will study Salvatore Ruggieri's course "Fairness and Explainability Lectures" as a good resource to be prepared also for presentation of Poster
* About background courses I guess I need to have a ML course. We might choose between:
    * Andrew NG's Machine Learning
        * https://www.coursera.org/learn/machine-learning?utm_source=gg&utm_medium=sem&utm_campaign=07-StanfordML-ROW&utm_content=07-StanfordML-ROW&campaignid=2070742271&adgroupid=80109820241&device=c&keyword=machine%20learning%20mooc&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=369041663186&hide_mobile_promo&gclid=Cj0KCQjw0caCBhCIARIsAGAfuMxWcdPZpcEG7YcDLG-iuVCutqxdhImsY2SdQuv-ZSXjiRTQYIFWYToaAk-QEALw_wcB
    * Larry Wasserman
        * http://www.stat.cmu.edu/~larry/=sml/
    * IBM Machine Learning Tutorial
        * https://www.coursera.org/learn/machine-learning-with-python?ranMID=40328&ranEAID=OyHlmBp2G0c&ranSiteID=OyHlmBp2G0c-_7MxSXZo0Jud3WBwa2qw_Q&siteID=OyHlmBp2G0c-_7MxSXZo0Jud3WBwa2qw_Q&utm_content=2&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
    * Please add your suggestions if you have any.
* About Reference Books:
    * I guess the one fairness book which is still being developed is absolutely going to be one of my refernces
        * https://fairmlbook.org/
    * Deep Learning by Bengio:
        * https://www.deeplearningbook.org/
    * Reference for ML: 
        * I still am not sure. Bishop and Mitchell are old references. I Will have to look more to find a newer reference.