ferdo.LAB
FERDO LAB / LEARNING HUB

R, statistics, programming and mathematics.

First-year learning materials, practical exercises, workbooks and instructor resources brought together in one place.

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NEW · COMPLETE SIX-WEEK COURSE

One R script, one HTML guide, student workbook

Moodle-aligned Weeks 1–4, independent Weeks 5–6: worked instructor code, matching student tasks, data and offline ZIP.

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INSTRUCTOR RESOURCE · WEEKS 1–6

Teacher’s Kit — annotated R and statistics guide

Line-by-line explanations for 89 R code lines, expected outputs, debugging notes and 90-minute lesson plans. The Week 5–6 Moodle alignment is still provisional.

Open Teacher’s Kit
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Your course home

Four connected panels bring the materials together. Start anywhere and follow related lessons without losing the bigger picture.

These are independently produced study resources for UCL learners, not an official University College London course website. The student's exact module has not been confirmed.
Four learning panels

One connected learning environment.

01 / R LAB

R Lessons

Learn RStudio, basic R commands, data objects, files, plots and hands-on exercises.

6 R lessons

Resources and shortcuts

Browse R lessons
02 / CODING & PRACTICE

Programming

Build programming intuition through variables, data structures, transformation and small problems in R.

Foundation + practice

Resources and shortcuts

Start programming
03 / STATISTICS LAB

Statistics

Research design, data quality, distributions, probability, hypothesis tests and careful interpretation.

15 modules · 14 weekly workbooks

Resources and shortcuts

Open Statistics Lab
04 / MATHEMATICAL FOUNDATIONS

Mathematics

Probability rules, Bayes, distributions, the central limit theorem, confidence intervals and regression mathematics.

8 units · 8 R scripts

Resources and shortcuts

Explore mathematics
PALS0046 · Moodle course archive

Course resources in one place

Course documents, R files, readings, questions and answers, and announcements archived through 11 November 2026. Remaining gaps are listed in the archive. Videos are recorded by title and source link only.

Private archive: sign in with your authorised email account.

Open the course archiveSearch resources and view gaps
First step

Suggested learning sequence

Start with the ideas behind programming, practise R, then develop statistical reasoning and optional mathematical foundations.

  1. 01
  2. 02
  3. 03
  4. 04
Lessons and practice resources

Frequently used resources

Frequently used exercise files, coding guides and practice sheets.

PALS Weeks 1–4 exercisesR coding guideR examples and downloadsStatistics Lab workbooks
Instructor and session planning

Instructor and teaching desk

Find lesson flow, practice tasks, grading rubrics and public instructor resources. Private solutions remain in Genel Merkez.

Teacher’s Kit — six weeks of annotated R examples Open instructor desk First 90-minute session outline R Lab instructor cockpit