Silicon Photonics Design, Fabrication and Data Analysis¶
Course Overview¶
- Institution: University of British Columbia
- Course code: Phot1x
- Track: Optics, Optoelectronics, and Photonics
- Tier: A
- Role: Mainline
- Level: Not standardized by provider (use prerequisites)
- Last reviewed: 2026-07-28
University of British Columbia's Silicon Photonics Design, Fabrication and Data Analysis forms a rare full silicon-photonics loop across a KLayout, SiEPIC, gdsfactory, remote-fabrication, and measurement toolchain, with timing, licensing, and regional conditions requiring recheck.
Mainline audit review
This mainline course still requires manual review: The course is instructor-paced, and commercial-tool licenses, regional registration, tapeout dates, and payment terms can change; learners receive measurement data rather than a mailed chip, so every run needs manual recheck. Last audited: 2026-07-29.
Why choose this course
Mainline course. A reliable option that can serve as a main course or strong alternative.
Before you start
- Recommended foundation: Electromagnetic Fields and Waves
- Recommended foundation: Semiconductor Devices
- Recommended foundation: Physics Foundations
Verifiable learning outcomes
- Explain the core models in Optics, Optoelectronics, and Photonics, including their assumptions and limits
- Solve representative derivations and problems, checking units, limiting cases, or numerical results
- Complete a reproducible experiment or implementation with raw data, parameters, versions, and verification
Workload and pacing
13 weeks at 11 hours/week. This maintainer planning estimate is derived from course role and the density of public practice and labs; it is not a provider workload promise. Pilot two weeks while logging instruction, practice, lab, and review time, then adjust the remaining plan when actual effort differs by more than 25%.
Safety level
Simulation only. The default practice scope is software, computation, or simulation only; a lab label in the resource inventory does not authorize connecting physical equipment, and any hardware extension requires provider-scope verification and a new risk assessment.
Course Resources¶
Software, hardware, and cost
Software
- Maintainer-suggested open-source/free verification path: MEEP, MPB, Python 3, Jupyter, and ParaView
- The resource inventory lists public code coverage; pin interpreter, dependencies, toolchain, datasets, and PDK versions where applicable
Hardware
- The resource inventory lists lab coverage, but this course's maintainer path explicitly limits it to computational or simulation work. It assumes only a general-purpose computer able to run the software above and retain results; do not purchase or connect course-specified sources, optics, detectors, beam containment, and laser safety controls in a compliant optics lab
Cost note
The current maintainer path uses computation and simulation only, with no dedicated hardware purchase, and prefers open-source/free tools. This is not a provider requirement; platform, commercial-software, or cloud-compute costs still vary by provider, region, and plan.
Public resource coverage
| Resource type | Completeness |
|---|---|
| Video | Complete |
| Notes | Complete |
| Practice | Complete |
| Labs | Complete |
| Exams | Partial |
| Code | Complete |
Resources and access
| Resource | Access | License | Status | Verified |
|---|---|---|---|---|
| Course home | Free audit | edX Terms of Service | Listed by official page | 2026-07-28 |
“Listed by official page” means the link was discovered on a successfully fetched official source on the verification date; it does not guarantee that every region or account can open the target directly. Access does not grant redistribution rights. Re-check the provider page, target link, and third-party notices before downloading, adapting, or publishing material.
Practice and Verification¶
Practice loop
Silicon Photonics Design, Fabrication and Data Analysis · University of British Columbia Phot1x: Waveguide or Imaging-System Parameter Sweep
This is a maintainer-suggested self-study project for Silicon Photonics Design, Fabrication and Data Analysis · University of British Columbia Phot1x, not an official course assignment. Simulate a waveguide, resonator, or imaging system for Optics, Optoelectronics, and Photonics and validate mode, loss, or image quality using analytic limits, mesh convergence, and manufacturing tolerances.
Origin: Maintainer-suggested project
Deliverables
- A specification of wavelength, materials, geometry, polarization, boundaries, and target metrics
- Executable optical or electromagnetic model, parameter sweeps, and post-processing sources
- Raw fields, modes or point-spread functions, transmission or loss, and tolerance data
- A report comparing analytic and numeric results and explaining cutoff, dispersion, or aberration failure
Verification
- Keep effective index, focal length, or diffraction scale within 3% of an analytic simple baseline
- Cover near-cutoff, band-edge, material-extreme, and polarization-switch boundaries
- Keep the key metric change below 3% after mesh refinement or a second propagation method
- Inject ±5% geometry variation and report mode loss, resonance shift, or image degradation
Reproducibility
- Commit geometry, material, solver, sweep, and plotting sources
- Pin solver, wavelength grid, material-data version, and convergence parameters
- Preserve raw fields or images, solver logs, material provenance, and the generated report
Safety boundary: Simulation only — Use optical or photonic simulation only; do not use lasers, intense sources, high-voltage drivers, bare fiber ends, or unsupervised optical experiments.
Risks, gaps, and boundaries
KLayout, SiEPIC, gdsfactory, remote fabrication, and measurement form a rare full loop, but tapeout dates, tool licenses, regional access, and the fact that chips are not mailed must be rechecked.
Completion evidence
- Weekly learning log with time, questions, corrected errors, decisions, next steps, and links to that week's reproducible artifacts
- Theory dossier with explicit assumptions, notation, derivation, units, and boundary conditions, checked by at least one independent method
- Simulation package with model or netlist, inputs, solver and version, parameter-sweep script, benchmark comparison, expected results, and one rerun command
- Code repository with pinned dependencies and toolchain, a minimal run command, tests or waveform/benchmark checks, expected output, and license notes