Computational Thinking: A Problem-Solving Masterclass for Engineers
Course
Master the four pillars of computational thinking (decomposition, pattern recognition, abstraction, and algorithm design) through real engineering scenarios like system design, production debugging, and technical decision-making. You'll learn to model systems using graphs, state machines, sets, and recursion, and develop systematic approaches to problem framing, estimation, and tradeoff analysis. This is not an algorithms course; it's a thinking course that gives you structured frameworks to cut through ambiguity and make better engineering decisions faster.
26 blocks~37 minFree
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Course Outline
8 content·18 assessments·~37 min
1Content
The CT Framework: Four Pillars of Computational Thinking
2Question
What are the four pillars of computational thinking, and how do they differ from...
3Cloze
The two primary approaches to decomposition are top-down (starting with the big ...
4MCQ
A senior engineer notices that three different microservices all implement nearl...
5Content
Modeling Systems: Graphs, State Machines, Sets, and Recursion
6html
Interactive: State Machine Builder
7html
Interactive: Topological Sort Simulator
8Question
When should you model a system as a **graph** versus a **state machine**?
9Cloze
A topological sort on a Directed Acyclic Graph gives a valid execution order for...
10MCQ
You need to model a Role-Based Access Control (RBAC) system where users have mul...
11AI Chat
Discuss: Choosing the Right Model for a System
12Content
Systematic Problem Solving in Practice
13Question
What is the difference between the **presented problem** and the **actual proble...
14Cloze
In divide and conquer system design, horizontal partitioning splits by data (sha...
15MCQ
A team is debating two approaches for a task scheduler: a greedy algorithm that ...
16Multi MCQ
Which of the following are valid reasons to AVOID dividing a system into microse...
17Content
Debugging, Estimation & Tradeoff Analysis
18html
Interactive: Infrastructure Estimation Calculator
19Question
How does **binary search on the bug space** work in structured debugging?
20Cloze
Key latency numbers: an L1 cache reference takes 0.5 ns, a main memory reference...
21MCQ
An engineer is debugging a production outage. They check the most recent deploy,...
22AI Chat
Discuss: Debugging a Production Incident
23Content
CT at Scale: Teams, Decisions, and Complexity
24Question
What is the difference between **technical debt** and **complexity debt**, and w...
25Multi MCQ
According to the automation ROI framework, which of the following tasks are MOST...
26AI Chat
Discuss: Applying CT to a System Design Challenge
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