update slidedeck

content/docs/modules/week7/slides.Rpres

@@ -22,7 +22,9 @@ Welcome to the final lecture in dPrep!
 
 If you haven't done so, please **explore the exam page & example questions** at [https://dprep.hannesdatta.com/docs/exam]().
 
+<!--
 The __course evaluation__ is live at https://app.evalytics.nl. Please voice your opinions!
+-->
 
 <!--
 - Team project:
@@ -84,7 +86,7 @@ incremental: true
   - delete stuff that isn't needed, roll back when you want
   - Oh no, not authenticated!
   - Oh no! Can't push! (pull first!)
-  - GUIs (e.g., in R) are available, too!
+  - GUIs (e.g., in R or VS Code) are available, too!
 
 Lessons learnt #1: Versioning and Project Management with Git(Hub) (II)
 ========================================================
@@ -93,7 +95,7 @@ incremental: true
 - Ready to use Git/versioning in a business
   - Know what to version, and what not
   - Purpose of `.gitignore`
-  - How to work together (issues, feature branches, PRs)
+  - How to work together (issues, feature branches, pull requests/PRs)
 - Collaborate on open source projects
   - You know what forks are!
   - You may even actually contributed to public projects!
@@ -105,7 +107,7 @@ incremental: true
 - RMarkdown! (mixing code with reporting)
   - ability to quickly produce clean docs to share!
   - uh... but how to run it w/ make?
-  - __verify you can render markdown documents on your computer!__
+  - __verify you can render markdown documents!__
 - Doing data quality checks? 
   - getting back to your data supplier if needed!
   - reporting summary stats
@@ -123,7 +125,7 @@ incremental: true
 - Make ITO blocks
   - setup to load libraries, __then__ input, transformation, output!
   - super crucial for `make`, too!
-- Modularize code, iterate, and use functions
+- Modularize code, loop, and use functions
 
 Lessons learnt #4: Pipeline building and automation
 ========================================================
@@ -171,6 +173,7 @@ incremental: true
 
 - Gradually implement across classes or projects
   - e.g., some projects just benefit from better directory structure, while others may need "more"
+  - risk of "losing" the skill (!)
 - Realize it takes time to learn
   - it took me years to become proficient
 
@@ -191,8 +194,8 @@ incremental: true
 
 - Become part of the open science community at Tilburg
   - contribute to [Tilburg Science Hub](https://tilburgsciencehub.com)
-  - improve [music-to-scrape](https://music-to-scrape.org)
-  - follow us on [LinkedIn](https://www.linkedin.com/company/tilburgsciencehub/) and [Twitter](https://twitter.com/tilburgscience)
+  - improve [music-to-scrape.org](https://music-to-scrape.org)
+  - follow us on [LinkedIn](https://www.linkedin.com/company/tilburgsciencehub/) and [X](https://twitter.com/tilburgscience)
 - Invest in your research skills (e.g., Docker, coding)
 
 Looking ahead: After your studies
@@ -207,7 +210,7 @@ incremental: true
 Next steps: Submissions and preparing for the exam
 ========================================================
 
-- Deadline for project coming up!
+- Deadline for project coming up next week!
   - remember: __make it work__ on different computers and operating systems
   - __do not use__ absolute paths!
   - verify data can be downloaded smoothly
@@ -217,68 +220,83 @@ Next steps: Submissions and preparing for the exam
   - https://dprep.hannesdatta.com/docs/exam/examplequestions/
 
 
-Exam overview: Theoretical part
+Exam planning 
 =============
 
 - Organization
-  - When: 16 October, 1-2pm (1 hour)
-- How?
-  - closed book, no software like R, __just TestVision__
+  - 4 April (time tba; 3 hours)
+  - On campus, using __TestVision__
+- Software & materials
+  - access to R/RStudio, Git, make
+  - access to github.com/course-dprep and classroom.github.com; no access to ChatGPT or other AI tools
   - I'm making selecting resources available on the instruction page - [check them out here](https://github.com/hannesdatta/course-dprep/raw/master/content/docs/exam/cheatsheets-exam.zip)
-- What?
+- How to prepare?
   - familiarize yourselves with [how TestVision works with a practice test](https://oefentoetsen.testvision.nl/online/fe/login_ot.htm?campagne=tlb_demo_eng&taal=2)
-  - let's look at [some questions now](https://dprep.hannesdatta.com/docs/exam/examplequestions/#theoretical-part)
+  - let's look at [some questions now](https://dprep.hannesdatta.com/docs/exam/examplequestions/)
 
 
-Exam overview: Practical part
-=============
-
-- Organization
-  - When: 17 October, 10am - 11.59am + 1 minute, take home
-  - Work max. 2 hours on this part
-- How?
-  - open book, on your computer
-  - ChatGPT and other tools ONLY when explicitly asked for.
-- What?
-  - let's look at [some questions now](https://dprep.hannesdatta.com/docs/exam/examplequestions/#practical-part)
-  - prep well - expect new datasets that are big (too big maybe even) -- aggregation, selection of number of rows, etc.
-
 Some tips for your exam
 =======
 incremental: true
 
 - Expect an unexpected data set & data wrangling
 - Know common data operations in `dplyr` & become fast!
 - When handing in documents, check what I require (for `.Rmd`, I sometimes ask for rendered `.pdf` documents - does it work on your computer?)
-- Be prepared to make commits to GitHub repositories -- know how clone, fork, write issues, do PRs, roll back to previous versions, etc.
-- Be prepared to run, correct and develop new `make` workflows
+- Be prepared to work with Git Bash
+  - know how to make commits with commit messages, create branches, switch branches, etc.
+  - download git repository, unzip, do your commits, zip again and submit as a zipfile
+- Be prepared to work with GitHub
+  - know how to clone, fork, write issues, do PRs
+  - know how to roll back to previous version
+- Be prepared to use `make`
+  - run, correct and develop new `make` workflows
+- Be prepared to download data sets from Testvision (`.Rdata`) - on the Cover page of the exam or in a specific question on the exam.
+
+
+Learning goals + distribution of points
+==========
 
+- 100 points in total, about 25 questions
+- Mix of open and closed questions
+- Learning goals & question weights
+  1. Use R to clean and transform data for analysis (e.g., aggregation, merging, de-duplication, reshaping, data conversions, regular expressions) [synthesis; __20% of points__]
+  2. Use GitHub for managing empirical research projects (e.g., GitHub Issues and Project Boards) [evaluation; __10% of points__]
+  3. Use Git/GitHub for versioning files and collaborating on privately-shared and publicly-available (open science) GitHub repositories [application; __30% of points__]
+  4. Use R for generating automatic reports (e.g., to assess data quality, to report research findings in a paper) and deploying research findings in novel ways (e.g., apps) [comprehension; __15% of points__]
+  5. Use Workflow Management Tools to create and run portable, automated, and reproducible research pipelines [application; __25% of points__]
 
 
 Next steps: Official course evaluation
 ========================================================
 
 - Course evaluation has been immensely important to this course
-  - this semester: new data set, coaching sessions with breakout groups on campus and online
-  - last semester: developed new on-campus tutorials, released example projects
+  - this semester: switched order of sessions, revised GitHub tutorial/onboarding
+  - last semester: new data set, coaching sessions with breakout groups on campus and online
+
 - Course evaluation has been critical to my career
   - Without my past evaluations, I wouldn't be teaching to you today
   - I will look at all comments. 
   - __Scores are most important to show importance of this course__
 
-- You will be invited via [Evalytics](https://app.evalytics.nl/#/login)
+- You will be invited via [Evalytics](https://app.evalytics.nl/#/login) at the end of the week
+
+Next steps: Self- and peer assessment
+========================================================
+
+- You will be invited via e-mail
+- To be filled in using Google Forms
+
 
 
 Informal feedback
 ========================================================
 incremental: true
 
-- Coaching sessions?
+- Coaching sessions? (Online, offline)
 - How was it for beginners? 
 - What's are three things you'd like me to change?
 
 
-
 Stay in touch!
 ========================================================