ASTR310: Observational Astronomy
Fall 2012
Instructor: Prof. Andrew Harris
Phone: (301) 405-7531
email: harris @ astro.umd.edu (do not include spaces when
you
type this!)
Office: CSS 1229
Office Hours: Th 3:30-4:30 pm, by appointment, or just drop by
Teaching Assistant: Ms. Che-Yu Chen
email: cychen @ astro.umd.edu (do not include spaces
when you
type this!)
Office: CSS0252
Office Hours: M 12-1 (in office), Th 11-12 (in computer lab)
Observatory Assistant: Mr.
David Blankenship, Jr.
email: dblank310obs @ gmail.com (do not include spaces when
you
type this!)
Textbook: To Measure the Sky
by Frederick B. Chromey, c. 2010
Cambridge University Press
(ISBN-978-0-521-74768-4)
Course Description:
Ancient cultures first began to understand the Universe with
observations in visible light. For many people today,
astronomy
is someone looking through a telescope at distant stars.
While
few professional astronomers actually look through a telescope any
more, images and spectra obtained with modern instrumentation are
essential for exploring and understanding the Universe. This
class is an introduction to optical observational techniques,
including
the closely-related infrared and ultraviolet techniques.
Modern
astronomy is above all a scientific discipline, and the course
also
covers relevant statistics, spherical trigonometry, time systems,
catalogs, geometrical and physical optics, the effects of the
atmosphere, and optical instruments. In addition to covering
these theoretical concepts, the class includes practical work
using the
University observatory's telescopes and electronic cameras.
Course Expectations:
Lecture attendance: Lectures meet in CSS 2428 on
TuTh from 2:00-3:15 PM. Prof. Harris will lead the lectures
but
you will be expected to raise questions and participate in
discussions. In order to do best in this course, you will need
to
attend ALL lectures. This is very important! The material on the
homeworks and exams are based upon the material covered in the
lectures
and the textbook. If you have to miss a lecture, be sure to look at
another student's notes and make sure that you understand what was
covered. Please ask Prof. Harris or the TA if you have
questions. You should read over the material before lecture
and
be prepared to discuss it. A more careful reading is
recommended
after lecture. You should study your class notes sometime before the
next lecture to make sure that everything is clear. You are
encouraged to ask questions in class -- any question you have is
certain to be one others have -- during office hours, or over email.
Study Habits:
Study wisely and ask for help if you need it. If you just cram the
night before the exam, you probably will not do very well. It is
better
(and easier) if you keep up with the material on a daily basis. If
you
have questions, please see Prof. Harris or your TA. We are here to help you learn.
Grading:
Grading is on a point scale with different assignments weighted as
shown in the table. A description of each of these components is
contained in this syllabus.
ASSIGNMENT
|
Projects
|
Homework
|
Midterm
|
Final
|
Total
|
PERCENTAGE
|
40%
|
20%
|
15%
|
25%
|
100%
|
The Midterm and Final Exams are Major Scheduled Grading events
defined in the University's policy on attendance (http://www.president.umd.edu/policies/v100g.html).
Exam
grades
are
adjusted
upward,
if
need
be,
so
the
median
score
is
at
least 72%. Letter grades will be assigned based upon your
cumulative score. Here is how your grade will be determined from
your
point total in the class.
Letter Grade
|
Percentage
|
A
|
87.5%-100%
|
B
|
75.0%-87.5%
|
C
|
62.5%-75.0%
|
D
|
50.0%-62.5%
|
F
|
< 50.0%
|
Plus/minus grades will be given within each letter grade for
scores
near the top and bottom of the percentage ranges.
This point scale makes it possible for everyone in the class to
do
well. For example, if everyone scores above 75% in the course, you
would all receive either an A or a B letter grade. Any adjustments
to
the scores will make it easier to get a given grade, never more
difficult.
Observing projects:
A major component of this class is a set of projects involving
computer reduction and analysis of astronomical data, some of which
you
will obtain at the University of Maryland Observatory. These
projects are the single largest component of your grade. This
may
be the first class you have had where weather plays a key role in
whether you can complete your assignments. Do not underestimate the time needed
to
luck into good weather, master data reduction, and write up your
report
-- you will want to start as soon as you can, and sooner than you
think
you need to! Projects
turned in after the lecture ends will be considered late and will
receive 20% of the credit at most until 24 hours after the end of
lecture, and 50% credit at most for projects turned in at the next
lecture; no credit will be given for projects handed
in more than one lecture late. Projects carry nearly as much
credit as the midterm, and are counted as a Major Grading Event (see
policy on attendances
and
absences).
The projects will include:
- Daytime laboratory measurements the gain and readout noise of
a
CCD camera.
- Night observations at the observatory with the CCD camera(s)
to
image nebulae with interference filters.
- Night observations at the observatory with the CCD camera(s)
and
use of image-processing routines to obtain photometry of star
clusters.
- Time and weather permitting, we may also try to do nighttime
photometry of an exoplanet!
Labs (2) and (3) are night labs, and depend on weather conditions:
they
will only be held on clear nights as determined by the Observatory
Assistant and advertised at the course website. The groups will sign
up
for nights in advance, and need to show up when labs are held. These
labs require 2-3 hours of observing each, and additional time for
data
reduction, analysis, and report writing. The reports must be
typed and will follow the standard pattern of a short scientific
paper
covering observational or experimental work:
- The top of the first page contains your name, affiliation
(University of Maryland, ASTR 310 Spring 2012), and a brief
abstract
summarizing your report. (It is easist to write the
abstract
last.)
- Review the goal of the measurement and necessary techniques in
an
introduction.
- Thoroughly describe the procedure used to gather the data and
the
problems confronted in an observations section.
- Discuss and document in detail the procedure followed to
reduce
the data, including figures and tables whenever necessary, in an
analysis section.
- State the conclusions reached and the reasoning behind them in
a
conclusions section.
The data acquisition for the projects will be done in groups of
about 3
students, but the reports are
individual. I encourage discussions with your fellow
students on how to best tackle the problems, but I will not tolerate
copying or other forms of cheating. Such activities will be promptly
reported to the UMD Student Honor Council. Please review the Honor
Code
of the University (see Academic
Integrity below). Data processing will be in MATLAB,
running
at the computer lab of the Astronomy Department (CSS1220) using
accounts we will set up for you. You may use your personal computer
if
you have a student version of MATLAB or software to log into campus
computers remotely.
Homework
There will be approximately five homework problem sets in this
course. All homeworks will be available from the Assignments link
on
the class ELMS page.
All homeworks must be turned in,
neatly written or typed, on 8.5x11 inch paper in class
on the assignment due date. If for whatever
reason,
the University is officially closed on the due date, the
due
date shifts to the next lecture date. Homework is due in hard copy,
and
except by prior special arrangement with Prof. Harris;
electronically
mailed versions of your homework without advance arrangement will
not be accepted. Homeworks
turned in after the lecture ends will be considered late and will
receive 20% of the credit at most until 24 hours after the end of
lecture, and 50% credit at most for homework turned in at the next
lecture; no credit will be given for homework handed
in more than one lecture late. If you have an excused
absence
that prevents you from handing your homework in on time, you must
document it in writing (see Attendance
and
Absences, above) and arrange to have the homework
turned
in as soon as possible, but no later than during the next lecture.
Although you may discuss the homework problems with your
friends,
the final writeup must
be
your own work in your own words. Copying from a friend's
homework, copying from a book, or allowing a friend to copy your
homework is academic dishonesty (see Academic
Integrity below) and will not be tolerated in this class. If
you
consult a reference other than the course text, please acknowledge
it
in your homework - this includes websites!
Midterm Exam
There will be an in-class 75-minute examination which will
be
held in CSS 2428 on Thursday, October 18. This
exam is
closed book with no notes allowed, but do bring a calculator. The
schedule of lectures included in this syllabus shows what material
will
be covered on the mid-term exam. The midterm exam is a Major
Grading Event (see policy on attendances
and
absences).
If for whatever reason, the University is officially
closed on the exam date, the exam date shifts to the next lecture
date.
Final Exam
According to University rules, the final exam for this
course
will be held on Friday, December 17, from 10:30 am to 12:30 am in
CSS
2428. This final exam is cumulative, that is, it will
cover
all material discussed in this course. Material not
covered
by the midterm exam (see Lecture
Schedule) will be somewhat emphasized in the final exam.
This
exam is closed book with no notes, but do bring a calculator.
The
final exam is a Major Grading Event (see policy on attendances and
absences).
Extra Credit
There will be no extra credit assignments in this class.
Attendance and Absences
Please review the University's Attendance and Assessment Policy at http://www.umd.edu/catalog/index.cfm/show/content.section/c/27/ss/1584/s/1540
and the University policy on medically-necessitated absences
at http://www.president.umd.edu/policies/v100g.html.
Some
basic
points for this class:
- If you wish to claim an excused absence, you must do so in
writing and furnish supporting documentation.
- You must notify Prof. Harris of the reason for an excused
absence
as soon as possible. This will include sending Prof.
Harris email
or leaving a voicemail message as
long
as possible before absences from exams or homework
deadlines. For absences known far in advance (for
instance,
religious observance or participation in activities at the
request of
University authorities), you must notify Prof. Harris by the end
of the
schedule adjustment period.
- The Midterm and Final exams are the Major Scheduled Grading
Events for this class.
- A prolonged absence in the sense of the University's policies
on
attendance and absence is two or more consecutive lectures.
- If you will be absent on a day homework is due you may hand in
homework assignments early, either to Prof. Harris or in his
mailbox in
the Department office. A classmate may turn in your
homework for
you if you are able to attend the class in which it is due (but
please
understand the University's policies on Academic Integrity and
its
potential implications before you do this).
- If you have a medical or other excused absence for a single
lecture that coincides with a homework deadline, and wish to
turn in
the homework up to one class meeting later, the policy in Sec.
II.A. of http://www.president.umd.edu/policies/docs/V-100G.pdf
applies.
- Requesting to have three or more late homeworks, assignments,
or
in-class exercises accepted is possible only with written
documentation
justifying the request, and the consent of the instructor (see
Sec.
II.B.1).
- Exams on alternative dates or for make-up are possible only in
cases of excused absences. When possible, exams will be
given before the
regularly-scheduled
exams. For unexpected absences from the Midterm or Final
Exams,
it is your responsibility to contact Prof. Harris to discuss
make-up
work within 48 hours of the missed exam.
The academic community at the University abides by a Code of
Academic
Integrity. Acts of academic dishonesty include cheating,
fabrication,
facilitating academic dishonesty, and plagiarism. Activities such as
cheating on exams or quizzes, copying homework from a friend or
book,
allowing your homework or paper to be copied, and submitting forged
excuses for absences from exams are violations of this code. If we
suspect that an incident of academic dishonesty has occurred, we
will
turn the case over to the Student Honor Council to investigate and
resolve. If the suspected party is judged `responsible' for the
act(s)
of academic dishonesty, the normal sanction is a course grade of
`XF'
which denotes failure due to academic dishonesty. This grade is
recorded onto the student's academic transcript. The Code of
Academic
Integrity can be found in the Academic Info section of the Schedule
of
Classes. It is printed in full in the Undergraduate catalog and on
the
web at http://www.president.umd.edu/policies/docs/III-100A.pdf.
Please
refer to this Code if you have further questions about what is
construed as academic dishonesty. We are very serious about
this.
The World Wide Web is a very useful resource that
we
will make use of in this class (e.g., students will be asked to
use the
internet for some of the questions on the problem sets). The
primary
web connection for enrolled students is the University's ELMS page
found by logging into https://elms.umd.edu.
If
you
have difficulty accessing the internet, please discuss this with
Prof. Harris before the end of the schedule adjustment period.
In
addition, the class site is also a gateway to many other astronomy
links, including sites with up-to-date astronomical images that are
made available to the public from telescopes in space and on the
ground.
Laptop and Mobile Device Policy
In principle, laptops can allow you to take notes faster and access
the
class website. In practice, they are frequently be used for
non-class
purposes. Laptop displays can be very distracting for other
students who have a view of your screen. In this class,
if
you use a laptop:
- You must sit in the far back row or on the sides with no one
behind you to minimize distractions to other students.
- You must turn the sound off and not use headphones.
If, despite these approaches, the use of laptops turns out to be too
distracting for the class as a whole, Prof. Harris may need to
ban them entirely. Let's hope that doesn't happen.
There is no need to use phones or other mobile devices during class,
even for texting. Please refrain.
Special Circumstances
Students with a documented disability should inform Prof. Harris as
soon as possible (preferably on the first day of class, and
certainly
by the end of the schedule adjustment period) so that appropriate
academic accommodations can be made.