Computational Thinking with JavaScript 2: Model & Analyse
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Computational Thinking with JavaScript 2: Model & Analyse
This course is part of Computational Thinking with JavaScript Specialization
Instructors: Quintin Cutts
Included with
Recommended experience
Recommended experience
What you'll learn
Model real‑world situations using data structures and computational abstractions.
Analyse and visualise data using JavaScript and simple libraries.
Reason about patterns and behaviour using computational models.
Details to know
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There are 4 modules in this course
This is the second course in the four‑course Computational Thinking with JavaScript Specialization. Building on the foundations from Course 1, the emphasis here is on modelling aspects of the real world using computational representations, particularly data.
You will deepen your understanding of computational thinking by working with abstract data structures and simple analytical processes. Using JavaScript and specialised libraries, you will write programs that process, analyse, and visualise data, supporting reasoning about patterns and behaviour. Throughout the course, attention is given to how data is represented, transformed, and interpreted, and to how these choices shape what a computational model can reveal. This course is suitable for learners who have completed Computational Thinking with JavaScript 1: Draw & Animate, or who already have basic JavaScript experience and want to explore data and analysis in a structured and supportive setting. The skills developed here form an essential bridge between expressive programming and the interactive, web‑based systems explored in later courses.
We introduce the array data structure in JavaScript, which is used to represent an ordered sequence of data values.
What's included
6 videos2 readings2 assignments1 programming assignment3 discussion prompts3 ungraded labs
6 videos•Total 30 minutes
- Welcome to the course•3 minutes
- Modifying arrays in JavaScript•3 minutes
- Going through arrays with for loops•6 minutes
- Variables have roles•7 minutes
- Introducing CSV files•5 minutes
- Two-dimensional arrays•5 minutes
2 readings•Total 10 minutes
- Who am I? More about Jeremy Singer•0 minutes
- Introducing arrays•10 minutes
2 assignments•Total 60 minutes
- Introductory arrays quiz•30 minutes
- Interacting with data in CSV files•30 minutes
1 programming assignment•Total 30 minutes
- Movie stars assignment•30 minutes
3 discussion prompts•Total 30 minutes
- Thinking about arrays•10 minutes
- My first CSV file•10 minutes
- Any problems?•10 minutes
3 ungraded labs•Total 100 minutes
- Coding with arrays•10 minutes
- Parsing CSV files in JavaScript•60 minutes
- Movie stars coding lab•30 minutes
We introduce JavaScript objects, which are named collections of values, used to model real-world entities.
What's included
4 videos5 assignments1 discussion prompt3 ungraded labs
4 videos•Total 31 minutes
- Introducing objects in JavaScript•9 minutes
- Data structure traversal (part 1)•7 minutes
- Data structure traversal (part 2)•10 minutes
- Save that data•5 minutes
5 assignments•Total 150 minutes
- What do we know about objects?•30 minutes
- Data structures quiz•30 minutes
- What do you know about JSON?•30 minutes
- CSV versus JSON•30 minutes
- JSON and web services•30 minutes
1 discussion prompt•Total 10 minutes
- Other data interchange formats•10 minutes
3 ungraded labs•Total 110 minutes
- Object playground•20 minutes
- Shopping lists•60 minutes
- Working with web services•30 minutes
Data structures can be embedded inside other data structures, to model more complex real-world entities.
What's included
4 videos1 reading2 assignments2 discussion prompts4 ungraded labs
4 videos•Total 24 minutes
- Collecting your own data•1 minute
- Draw a chess board•15 minutes
- Parsing CSV files with headers•4 minutes
- Wordclouds•3 minutes
1 reading•Total 15 minutes
- Thinking about data structures•15 minutes
2 assignments•Total 60 minutes
- More CSV data analytics•30 minutes
- Choose your own data structure•30 minutes
2 discussion prompts•Total 20 minutes
- Your coding experiences•10 minutes
- Your data processing experiences•10 minutes
4 ungraded labs•Total 240 minutes
- Drawing boards•60 minutes
- Further CSV parsing•60 minutes
- Graph your own data•60 minutes
- Make your own wordcloud•60 minutes
We integrate the various concepts we have introduced throughout this course, to build a data processing system to cluster data into similar groups
What's included
3 videos2 readings1 assignment1 peer review1 discussion prompt1 ungraded lab
3 videos•Total 15 minutes
- Coding project overview•6 minutes
- Coding project hints•7 minutes
- More coding project hints•2 minutes
2 readings•Total 20 minutes
- Code comments•10 minutes
- Project extensions•10 minutes
1 assignment•Total 30 minutes
- Comments quiz•30 minutes
1 peer review•Total 60 minutes
- Iris code review•60 minutes
1 discussion prompt•Total 10 minutes
- Your coding experiences•10 minutes
1 ungraded lab•Total 120 minutes
- Iris code development•120 minutes
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