- Office: LSRC D237
- Office Hours: Tue: 1:15-2:30pm, Wed 1-2:30, and sometimes Mon afternoons and
Friday mornings. (You can also come by anytime for a quick question,
I'm usually in Mon-Fri til 2:30,
sometimes later on Mondays and Thursdays.)
- Phone: 660-6595
Professor Forbes is teaching the other section of CompSci 100E.
- Office: LSRC D235
- Email: email@example.com
Graduate TA: Bala Chandrasekaran
Bala will be teaching the lab sections for Prof. Rodger's class.
- Office: North 007
- Office Hours: Wed. 4-6pm in his office, North 007
- Email: balac AT cs.duke.edu
- Phone: 660-4007
Graduate TA: Jannie Tan
Jannie will be teaching the lab section for Prof. Forbe's class.
- Office: North 005
- Office Hours: Thursdays 3-5pm
- Email: jytan AT cs.duke.edu
- Phone: 660-4005
Course Meeting Time
- LECTURE: Tuesday and Thursday: Old Chem 116, 10:05am-11:20am
- (Required) Introduction to Programming in Java: An Interdisciplinary
- (Optional) If you want another book for reference, a good reference
book is Java: How to program: Early Objects Version by Deitel and Deitel,
now in its 8th Edition (May 2009)
- There are also many web resources for learning Java
In general you should read the text in order to be prepared to ask and
answer questions in class. If you've looked at material before it's
discussed in class you'll get much more out of the class discussion.
This is especially true once class has been going for a while.
Many of the materials for this course (including this page)
are available on
You should regularly read the
as it may contain announcements, hints, and information relevant
to this class.
Class attendence is required. We will work on some problem solving
and have some discussions during class.
All computing projects will use Java 5 or 6, the Eclipse environment and Ambient
for submitting. See Resources for installing these.
Collaboration in CompSci Courses
INCLUDE README file in all computing projects
- Your name and NetID
- Hours Spent: Give the date you started the assignment, the date you completed the
assignment, and an estimate of the number of hours you worked on
- Consulted with: A list of the students, TAs, and professors with whom you consulted on the
assignment. Since assignments are to be your own
work, you should keep track of anyone with whom you have had a
conversation about a program. You are welcome to talk with the course
staff about the assignment, and to other students about broad ideas and
If you did not consult with anyone, you must explicitly state
- Resources used: Note any books, papers, or online resources that you used in
developing your solution.
If you did not use any outside resources, you must explicitly
state that fact.
- Answers to questions: There may also be specific questions given in the assignment whose
you will be asked include in this file.
- Impressions: You may include your impressions of the assignment to help the course
staff improve it in the future.
Failure to provide this file with this information will result in rejection of the
as complete. You may be able to resubmit.
LATE POLICY on Programming Assignments
Assignments turned in on time receive no penalty. Assignments turned in by
the Monday after they're due incur
a 10% penalty (that is Monday midnight). Assignments turned in after that will get at most 50% of
the credit for that assignment and will not be accepted after two weeks
from the due date. The steep penalty increase is because you'll get
behind on the next assignment if you're late on the previous assignment
(hopefully you get the idea).
Programming assignments will be due on different days of the week.;
So sometimes you'll have more late days for some assignments than
than other assignments. But regardless,
Monday is the deadline after which most credit disappears.
If you're having trouble, be sure to see a UTA/TA and preferably the
professor in charge of the course as far before the due date as
possible. Don't give up, ask for help. Don't give up, ask
for help. Don't give up, ask for help.
Individual extensions will be granted for medical reasons (see the Short-term
Illness Notification policy) or other circumstances beyond your
control that must be presented with an official Dean's excuse. We do not
grant extensions after an assignment is due.
If you have personal
reasons to ask for an extension, and you do so at least a week in
advance, it's possible to get one, so please ask.
You cannot make up an in-class or recitation assignment. We will
provide opportunities to earn "extra" points on
in-class work so that if you miss a small number of these your grade
won't be affected. However, frequent absences from class will affect the
portion of your grade based on quizzes and in-class work.
Points on assignments will vary. Harder assignments will be worth more
than previous assignments, and most assignments will get harder as the
semester progresses (harder means takes more time, requires more
APTs are Algorithmic Problem-solving/Programming Testing
problems and programs. You'll be given a description of a problem and
asked to write code to solve it -- testing the code online and when
you're happy with the code submitting it for grading. We don't look at
the source code when grading, we run it and test it. However, you should
strive to make your code small and beautiful. APTs will typically be
due on Tuesdays or Thursdays. We will not accept late APT programs this
Keeping up with APTs ensures you understand the topics we're
discussing in class. You'll have many chances to do extra APTs, thus
being able to make up for missed submissions.
Unless otherwise stated, computing projects should be your own work.
You may consult with one or two other students
(and as many times as you
want with TA's and Prof. Rodger).
you can discuss the project before writing it,
and get help with debugging your project,
but you should write your own code. Writing one world and making multiple
copies of it is not acceptable! For each assignment
you are expected to include a list of the people with whom you
have consulted (including students, TA's, tutors, professors).
Finally, you may not consult with the same CompSci 100 students on two
Tests must be your own work.
Grading is done on an absolute, but adjustable scale. This means that
there is no curve. Anyone earning 90% or more of the total number of
points available will receive a grade in the A range (A- to A+); 80% =
B, 70% = C, 60% = D. This scale may go down, but it will not go up.
To receive a grade of A or A+ you must exceed expectations. This means
you must do everything required extraordinarily well or you must do more
than is required and do this well. In other words, to earn an A you must
do more than merely meet the requirements, you must go beyond them.
In order to earn an A+ you must do SOME of the optional assignments
and exceed expectations in general.
| Labs/classwork/participation || 10%
| APTs || 12%
| assignments || 30%
| two exams
| final exam ||
A student needs to do all the required APTs to be considered for an A.
A few extras for A+.
There will be two exams, and a final exam. Exams will be closed
books, but you will be allowed to bring 2 sheets of paper with
notes on them.
Do not plan to leave town before the final exam date which is Wednesday,
May 4 from 7-10pm!