Concurrency Explained: Threads, Locks and Race Conditions
Operating Systems & Concurrent Programming: leave with a reproducible race-condition demo, a correct fix and a deadlock-avoidance note.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why operating systems & concurrent programming matters — the common problem: Intermittent bugs appear under load because shared state isn't synchronized.
- 2Core concepts in plain language: Processes, threads, scheduling, virtual memory, paging, system calls
- 3Going further: synchronization, locks, semaphores, deadlocks, race conditions, interprocess communication
- 4Framework walkthrough: Problem Decomposition, Read–Run–Modify Practice, Debugging Method (reproduce, isolate, fix, verify)
- 5Practical workflow, built live: A reproducible race-condition demo, a correct fix and a deadlock-avoidance note.
- 6How to measure it: Working programs, Bugs found before review, Time to diagnose a failure
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- A reproducible race-condition demo, a correct fix and a deadlock-avoidance note.
- A working understanding of Problem Decomposition and Read–Run–Modify Practice
- A short list of measures to track: Working programs, Bugs found before review, Time to diagnose a failure
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