Multidisciplinary systems engineering

One language for HW, FW, FPGA and SW β€” how complex systems behave.

Shared mental models: queueing, control, reliability, information. Each module: theory, lab, cross-domain scenarios, and self-check.

Course entry

90 minutes β€” three laws of system behavior

Not a full SE handbook. Queues, feedback, failures β€” then the catalog.

One incident, three modules

Saturday peak

Friday 19:40. Load doubled. ρ 0.75 β†’ 0.95. Autoscaler hunted. One region cascaded.

After 90 minutes β€” the other 15 disciplines.

Why this exists

Between safety, cybersec and narrow expertise β€” the systems layer is missing.

The program links physics, electronics, hardware, firmware, FPGA and software through the same laws.

01

Theory module

Core intuition, key formulas, assumptions and where the model breaks.

02

Interactive module

Sliders, simulations and visual feedback so learners feel the dynamics.

03

Hands-on demo

Scenarios across SW, HW, FW and FPGA.

04

Understanding check

Questions and mini tasks that verify reasoning, not memorization.

Education standard

Every module follows the same learning contract.

Outcomes

What the learner must be able to explain, calculate, and apply.

Concepts

Definitions, assumptions, formulas, and limits of the model.

Interactive Lab

Visual experiment that connects intuition to quantitative behavior.

Use Cases

SW, HW, FW, FPGA, manufacturing and operations.

Assessment

Short tasks that prove practical understanding, not memorization.

Transfer

Recognize the same pattern in a new domain.

Learning paths

Start by role β€” go deeper module by module.

Pick a path; the portal highlights relevant disciplines.

Module catalog

18 directions, each prepared for theory + practice + demo.

Layer:
Domain:

Corporate track

Pilot for L&D: Β«Behavior of engineering systemsΒ».

Ready modular program between compliance training and narrow domain expertise.

Audience

HW, EE, FW, FPGA, SW engineers, system architects, tech leads.

90mDay 0
5Γ—modules
2–3hper later module
lablab required

Build roadmap

How we will grow module by module.

  1. Shell and role-based paths. Landing, knowledge map, HW/SW/FW paths, domain scenarios, Docker.
  2. Corporate pilot track. Reliability β†’ Control β†’ Information β†’ Queueing + internal cases.
  3. Expand labs. Decision theory, graph theory, stochastic processes with HW/SW examples.
  4. End-to-end integration cases. From physics and electronics to field: one failure reviewed across the stack.