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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