Annual Calendar
Annual Calendar
Recommended Sequence
Unless a student has prior experience with photography with a telescope, we strongly recommend taking the courses and seminars in this sequence:
IntroSTARS >> DoubleSTARS >> Intro to Photometry and Exoplanets.
Exceptions may be approved.
IntroStars™ Prerequisite
To participate in any of the Boyce-Astro seminars or programs, a student must first take our free online IntroStars™ class and pass its final Quiz. Anyone can sign up for IntroSTARS at any time. One can complete the course in 10 to 20 hours depending on his or her prior astrophysics knowledge. The IntroSTARS Quiz is sent at least two weeks before the beginning of each DoubleSTARS or Intro to Photometry and Exoplanets seminar to those who have registered for IntroSTARS. Admission to the seminar is then permitted to any student who passes. Students may of course choose not to continue on the seminars by simply not responding to the Quiz.
DoubleSTARS™
Boyce-Astro offers this seminar to introduce students to time-series photometry through observing exoplanets and reporting those observations to NASA databases. The seminar is offered in late summer and mid-winter each year following the DoubleSTARS seminar. The formal online class time is approximately 6 weeks assuming successful observations and data reduction. On successful completion, the students is recognized as one of our Exoplorers™ and encouraged to continue observations with BRIEF in all types of variable stars.
September
- IntroSTARS Quiz for Fall DoubleSTARS
- Start DoubleSTARS
November
- Start Python for Astronomy
December
- IntroSTARS Quiz to qualify for January or February Seminars
January
- Start Intro to Observing Exoplanets
February
- Start Python for Astronomy
June
- Start Observing Binaries / Speckle Interferometry
July
- Start Intro to Spectroscopy
August
- IntroSTARS Quiz for September DoubleSTARS
Special Events or Opportunities
We continually try to bring new learning experiences to our students. These may be one-time events or prototypes for possible future courses or seminars such as in astrophotography, spectroscopy, or data mining and python.