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Lecture notes:
ppt pdf 1: Introduction to unix and python
ppt pdf 2: More python; FITS
ppt pdf 3: Good coding style; data; noise
ppt pdf 4: MCs; uncerts; graphs; minimization
ppt pdf 5: Minimization; splines; regridding
ppt pdf 6: Model fitting; hypothesis testing
ppt pdf 7: Chi^2 and all that
ppt pdf 8: Source detection
ppt pdf 9: Source catalog issues
ppt pdf 10: Catalog biases; cross matching
ppt pdf 11: Radio astronomy (out of order)
ppt pdf 12: Complex numbers and the Fourier transform.
ppt pdf 13: More radio astronomy
ppt pdf 14: Radio interferometry
ppt pdf 15: Bayesian variability analysis; the DFT
ppt pdf 16: More interferometry
ppt pdf 17: Weighting of visibilities
ppt pdf 18: The CLEAN algorithm
ppt pdf 19: MEM; calibration; spectroscopy
ppt pdf 20: High Energy Astronomy
ppt pdf 21: HEA, attitude, instrumentation
ppt pdf 22: XMM-Newton
ppt pdf 23: XMM-Newton continued
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Assignments (tuts):
Tut 1 Answers
Tut 2 Answers
Tut 3 Answers
Tut 4 Answers
Tut 5 Answers
Tut 6 Answers
Study advice:
If you can do all the tuts, and last year's exam, you won't have any problems. See also:
List of things you should know
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