Allocation of units for batch6

[CatarinaSilva]

Description

The goal of this issue is to assess interest and have a pre-allocation of batch6's
teaching work. In parallel, we can discuss other improvements to the process, but
this will make it easier to jump on the work as early as possible.

The units, overall work needed and rough release and delivery dates are listed
below.

Units

Admissions

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• To be released on 10th July
• To be ready on 10th June

SLU	Name	Last year instructor	Batch 6 instructor	Last year QA	Batch 6 QA
SLU01	Pandas 101	@Juliana-R	@majkah0	@isvpires	@Jujulian3
SLU02	Subsetting Data in Pandas	@CatarinaSilva	@jgomes959	@FilipaRodrigues	@jgerebelo
SLU03	Visualization with Pandas & Matplotlib	@Jujulian3	@Gustavo-SF	@FilipaRodrigues	@SaraOGomes
Test		@fabiocruz	@fabiocruz	@dominguezmaria	@danizao @majkah0 @minhhoang1023 @Gustavo-SF

Bootcamp

• Unit + presentation
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
  • Prepare a presentation of 15 min
  • Gather QA from the presentation and compile answers to share with students
• To be released on 1st and 2nd of October
• To be ready on 1st September

SLU	Name	Last year instructor	Batch 6 instructor	Last year QA	Batch 6 QA
SLU04	Basic Stats with Pandas	@wilsonramos1	@SaraOGomes	@FilipaRodrigues	@jgomes959
SLU05	Covariance & Correlation	@ClaraBarreto	@kagglekim	@RitaDS	@anaritarc
SLU06	Dealing with Data Problems	@cimendes	@majkah0	@RitaDS	@SaraOGomes
SLU07	Regression with Linear Regression	@FilipaRodrigues	@jgerebelo	@RitaDS	@carlacotas
SLU08	Metrics for Regression	@rjna	@marianahenriques1	@anaritarc	@cd702
SLU09	Classification with Logistic Regression	@FilipaRodrigues	@majkah0	@ClaraBarreto	@carlacotas
SLU10	Metrics for Classification	@CatarinaSilva	@phgui	@FilipaRodrigues	@majkah0
SLU11	Tree-Based Models	@anaritarc	@anaritarc	@FilipaRodrigues	@carlacotas
SLU12	Feature Engineering (aka Real Wold Data)	@anaritarc	@danizao	@InesPessoa	@anaritarc
SLU13	Bias-Variance tradeoff & Model Selection	@CatarinaSilva	@jgerebelo	@RitaDS	@anaritarc
SLU14	Model complexity & Overfitting	@CatarinaSilva	@Gustavo-SF	@Sonia-se	@Jujulian3
SLU15	Hyperparameter Tuning	@Luisfandrade	@jgomes959	@isvpires	@SaraOGomes
SLU16	Workflow	@cimendes	@cimendes	@FilipaRodrigues	@fabiocruz
SLU17	Ethics & Fairness	@hershaw	@hershaw	@FilipaRodrigues	@Gustavo-SF

Bootcamp - optional

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• To be released on 1st and 2nd of October
• To be ready on 1st September

SLU	Name	Last year instructor	Batch 6 instructor	Last year QA	Batch 6 QA
SLU18	Support Vector Machines (SVM)	@CatarinaSilva	@cimendes	?	@Jujulian3
SLU19	k-Nearest Neighbors (kNN)	@CatarinaSilva	@cimendes	?	@Jujulian3

Hackathon 1

• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on October 23rd
• To be ready on 23rd September

Work unit	Name	Last year instructor	Batch 6 instructor	Last year QA	Batch 6 QA
Hackathon 1	Binary Classification	@wilsonramos1	@wilsonramos1	?

Specialization 2

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on October 24th (BLU01), October 31st (BLU02), November 7th (BLU03), November 20th (Hackathon 02)
• To be ready on September 24th (BLU01), September 30th (BLU02), October 7th (BLU03), October 20th (Hackathon 02)

Work unit	Name	Last year instructor	Batch 6 instructor(s)	Last year QA	Batch 6 QA
-	Spec lead	@FredericoCoelhoNunes	@martinb-bb
BLU01	Messy Data	@PedroRibeiro80	@JerBouma	@RitaDS	@majkah0
BLU02	Advanced Wrangling	@ruimgf	@minhhoang1023	@carlacotas	@cd702
BLU03	Data Sources	@FredericoCoelhoNunes	@jmaslek	@anaritarc	@anaritarc
Hackathon 2	Data Wrangling	@buedaswag @cimendes @CatarinaSilva @dominguezmaria @FredericoCoelhoNunes	@martinb-bb @JerBouma @minhhoang1023 @DidierRLopes

Specialization 3

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on November 21st (BLU04), November 28th (BLU05), December 5th (BLU06), December 18th (Hackathon 03)
• To be ready on October 21st (BLU04), October 28th (BLU05), November 5th (BLU06), November 18th (Hackathon 03)

Work unit	Name	Last year instructor	Batch 6 instructor(s)	Last year QA	Batch 6 QA
-	Spec lead	@TSFelg	@TSFelg
BLU04	Time Series Concepts	@PedroRibeiro80	@PedroRibeiro80	@Sonia-se
BLU05	Classical Time Series Models	@ramaroesilva	@jgerebelo	@carlacotas	@fabiocruz
BLU06	Machine Learning for Time Series	@TSFelg	@jdpsc	@RitaDS	@SaraOGomes
Hackathon 3	Timeseries	@TSFelg			@Gustavo-SF

Specialization 4

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on January 9th (BLU07), January 16th (BLU08), January 23rd (BLU09), February 5th (Hackathon 04)
• To be ready on December 9th (BLU07), December 16th (BLU08), December 23rd (BLU09), January 5th (Hackathon 04)

Work unit	Name	Last year instructor	Batch 6 instructor(s)	Last year QA	Batch 6 QA
-	Spec lead	@CatarinaSilva
BLU07	Feature Extraction	@cmaroti		@Jujulian3	@cd702
BLU08	Dimensionality Reduction	@CatarinaSilva		@carlacotas	@majkah0
BLU09	Information Extraction	@dbsousa01		@carlacotas	@carlacotas
Hackathon 4	NLP	@dbsousa01 @CatarinaSilva @cmaroti

Specialization 5

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on February 6th (BLU10), February 13th (BLU11), February 20th (BLU12), March 5th (Hackathon 05)
• To be ready on January 6th (BLU10), January 13th (BLU11), January 20th (BLU12), February 5th (Hackathon 05)

Work unit	Name	Last year instructor	Batch 6 instructor(s)	Last year QA	Batch 6 QA
-	Spec lead	?
BLU10	Non-personalised Recommender	@isvpires		@Sonia-se	@majkah0
BLU11	Personalized Recommenders	@rjna		@Jujulian3
BLU12	Workflow	@BAZAntonio		?	@SaraOGomes
Hackathon 5	Recommender Systems	@BAZAntonio @minhhoang1023		?

Specialization 6

• Unit
  • Learning notebooks - minimum change: review
  • Example notebooks - minimum change: review
  • Exercise notebook - minimum change: re-do all exercises
• Hackathon
  • Come up with new problem for hackathon
  • Create description, Find dataset and create data splits (should require some iteration and validating the most common approaches work well, i.e., they improve over a dummy baseline)
  • Create baseline instructor solution
  • Evaluation guidelines doc
  • Overall guidelines for instructors to help out in hackathon
• To be released on March 6th (BLU13), March 13th (BLU14), March 20th (BLU15), April 2nd (Hackathon 06)
• To be ready on February 6th (BLU13), February 13th (BLU14), February 20th (BLU15), March 2nd (Hackathon 06)

Work unit	Name	Last year instructor	Batch 6 instructor(s)	Last year QA	Batch 6 QA
-	Spec lead	?	@cimendes
BLU13	Basic model Deployment	@InesPessoa		@carlacotas
BLU14	Deployment in the real world	@CatarinaSilva		@ClaraBarreto
BLU15	Model CSI	@cimendes		@carlacotas
Hackathon 6	Data science in real world	@CatarinaSilva @cimendes @InesPessoa		?

Capsotne

• Preparing a strong dataset and problem
• Help building documents/forms/etc
• Replying to students QA
• Beta-testing/QAing
• Grading capstone
• To be released on April 3rd
• To be ready on March 3rd

Work unit	Name	Last year instructor (s)	Batch 6 instructor(s)
-	Capstone	@BAZAntonio @minhhoang1023 @Juliana-R @cimendes @ramaroesilva @fabiocruz @Gustavo-SF	@cimendes

[cimendes]

hey! I'm adding my interest to help out in the Bootcamp and Specialization 06! I won't be able to lead though!

Given that I've been trying to organize S06 Curriculum, which is missing, I can volunteer to lead this Specialization. I won't be able to participate in other specializations, with the exception of the Bootcamp, due to the time requirement needed.

[cimendes]

Also, I'm suggesting @thecarolmartins for SLU17! ;)

[fabiocruz]

Hi! I would also be happy to help in the Bootcamp and in some Specialization (I prefer 3 or 5, but I'm open to others as well).

[minhhoang1023]

As Rui & Fred won't be able to help out with Hackathon 2, but my colleagues wanna help with Spec 2, and they are open to the idea of leading them. Will drop you some DM regarding this.

And I can help with the Bootcamp! :)

[FredericoCoelhoNunes]

Hi all, this year I will not be contributing to the LDSA. But I believe the learning notebooks that I previously worked on should be pretty "stable", in the sense that not much should need to change, so they should be relatively easy for someone else to take on.

[minhhoang1023]

@FredericoCoelhoNunes thank you, Fred! Please still contribute to our beer SLU. You are always welcomed :)

[cimendes]

Can I suggest also adding the Capstone to the allocation table? :)

[cimendes]

@dbsousa01 Maybe open an issue here for S4 curriculum changes? https://github.com/LDSSA/curriculum-development

[minhhoang1023]

Agree with @cimendes. Capstone is much longer and heavier than other Specializations. We really need a dedicated team for this, from creating the challenge, QA to Grading. If we wait until the end, we'll end up having to find instructors urgently. Extremely likely that the ones who end up helping have already contributed to previous Specs 😞 And this can be a lot to take on for a few people.

[CatarinaSilva]

Can I suggest also adding the Capstone to the allocation table? :)

Added @cimendes

[PedroRibeiro80]

This year I plan to contribute to BLU04 only.

[anaritarc]

Hi, I will only be available after July 15, so I'll probably just do QA this year, and help with HCK an so on :) (sorry for the late reply was waiting for the exam dates to be out)

[CatarinaSilva]

Hi @anaritarc we're discussing potentially starting later this year, aligned with the school year, so I think things will start more or less around that time. If that's the case, any unit you would like to take on any unit?

[anaritarc]

Good news!! I'll do the tree based models then 😊

[cimendes]

Hi! I would also be happy to help in the Bootcamp and in some Specialization (I prefer 3 or 5, but I'm open to others as well).

@fabiocruz you can edit the comment directly to add your name to the table ;)

[carlacotas]

Hey @cimendes!

I add my name to the table on the QA 😊 but I can help on other SLUs or if anyone would like to do the QA for those that I select I can change without problem

[Jujulian3]

Hello everyone,

This year I won't be able to help creating new materials, :(
To compensate... I will dedicate my available time to doing better QA. :)

Already assigned to SLU18 & SLU19 and ready to assume other specs, also.
Any needs, please call me <3

[cimendes]

@Jujulian3 SLU18 and SLU19 are optional so they probably won't receive a lot of changes. Can I convince you to take an SLU from the bootcamp? 😜

[Jujulian3]

I didn't notice, sorry 🤦🏽‍♀️

I won't be able to join the BootCamp presentations
but already took QA for SLU01, SLU13, and SLU14

Thx

[cimendes]

thank YOU @Jujulian3

[jdpsc]

Hey everyone, feel free to put me as instructor for BLU6 (Machine Learning for Time Series) for now. I'm also considering volunteering for others (maybe an SLU) but not definitive yet 😅. Thanks!

[cimendes]

Hey everyone, feel free to put me as instructor for BLU6 (Machine Learning for Time Series) for now. I'm also considering volunteering for others (maybe an SLU) but not definitive yet 😅. Thanks!

Done @jdpsc!

[majkah0]

Hi, I'd like to take SLU09 as instructor and SLU10 for QA.

[cimendes]

Hi, I'd like to take SLU09 as instructor and SLU10 for QA.

Updated @majkah0!

[danizao]

@cimendes can you put me in for SLU12, please?
UPDATE: I have done it myself!

[jgomes959]

@cimendes I would like to take SLU15 - Hyperparameter Tuning, if possible :)

[SaraOGomes]

Hello @cimendes and @jgomes959! Sorry I took the SLU15 but @jgomes959 will take this one! :) I'd like to take the Basic Stats with Pandas as instructor (instead doing the QA). Is that possible? :)

[Gustavo-SF]

Added myself as instructor to SLU14 and QA to SLU17 😄

[cimendes]

@SaraOGomes and @jgomes959 so if I understood correctly, João takes SLU15 and Sara SLU01?

[minhhoang1023]

Yay! We're official SOLD OUT :)

[minhhoang1023]

added your name @SaraOGomes

[jgomes959]

@cimendes just added myself to QA the SLU04 - Basic Stats with Pandas :)

[majkah0]

I can go for blu01. What if we did the exercise qa between more people this time? To have a higher chance of avoiding errors.

[anaritarc]

That's a great idea @majkah0, let's see how is the agenda of our QA people. I'll send an update on slack.

[majkah0]

@anaritarc there's a material somewhere on the ldssa drive with suggestions for improvement and there is the suggestion for crowd qa. We could try it on the rest of the materials - separate the qa on the learning materials and the exercises and have all the exercise notebooks reviewed by a group of the same 3-4 people.

[anaritarc]

I'm not sure we are able to have so many people working on QA (at least this year), I was thinking having a person for QA3 (we have QA1, QA2 and QA3), we have to 'recruit' more people

[Gustavo-SF]

With the capstone evaluation happening, all the units should be assigned. We can close this, right? @minhhoang1023

[cimendes]

Closing as batch 6 is now ending!