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Lecture notes:
1: Data overview
2: Python intro
3: Noise
4: Signal fitting
5: Source detection
6: Sensitivity, Completeness, Reliability
7: Confusion
8: Catalog cross-matching
9: Radio astronomy
10: Radio - polarization and spectroscopy
11: Complex, Fourier, Correlation
12: Interferometry
13: More interferometry
14: Weighting
15: Cleaning
16: Calibration, VLBI, spectroscopy
17: AIPS; hi-E astronomy
18: XMM
19: Further XMM
20: WCS; XMM calibration
21: X-ray astrophysics
22: Model fitting
23: Some active Comp. Astron.
24: Revision
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