Instructor:
 Jonas Lührmann
 Email: luehrmann (at) math.jhu.edu
 Office: Krieger 219
 Office hours: MF 14:3015:30
Lectures:
 MWF 12:00  12:50 at Mergenthaler 111
 MWF 13:30  14:20 at Mergenthaler 111
Textbook:
 Differential Equations with Boundary Value Problems (10^{th} Edition)
William E. Boyce and Richard C. DiPrima ISBN: 9781119925064
We will basically cover the material detailed in the official 110.302 Differential Equations Course Syllabus. However, the lectures will not follow the text verbatim and I strongly recommend to take notes in class.
Exams:
There will be two midterm exams and a final exam:
 1st midterm exam: Monday, March 4, in class
 2nd midterm exam: Monday, April 15, in class
 Final exam: Thursday, May 9, 9:0012:00
Exams are closed book, closed notes. There will be no makeup exams. For excused absences, the grade for a missed exam will be calculated based on your performance on all remaining exams. To be excused from an exam, you have to provide documentation and a valid excuse. Unexcused absences count as 0.
Grade Policy:
The course grade will be determined as follows:
 Homework: 10%
 Midterm exams: 25% each
 Final exam: 40%
Homework:
Homework based on the week's lectures will be posted as official in the course schedule below, usually sometime on Friday. That assignment will be due at the beginning of class the next Friday. Hand your homework set into the bin corresponding to your section. You will receive your graded homework back from your section teaching assistant the following week. No late homework will be accepted. If you absolutely cannot make it to class, arrange for someone else to hand it in for you. However, you may miss up to two homework assignments without grade penalty, as the lowest two homework scores will be dropped from the final grade calculation.
In order to master the material of the course, it is key that you do your homework. You should make every effort to solve the assigned problems using the concepts learned from the lectures and readings. You will be graded mostly on your ability to work problems on exams. If you have not practiced the techniques within the homework problems, you will have serious difficulties to work problems on exams. You are strongly encouraged to do your homework in groups. However, you must write up your solutions on your own. Copying is not acceptable.
You must staple your homework and write your name, your section number and the name of your teaching assistant clearly at the top. Write legibly. The grader might choose not to grade your homework if it is too messy. Your solutions to the assigned problems should be detailed enough so that the reader can follow your thought process.
Course Policy:
You are responsible for lecture notes, any course material handed out, and attendance in class. I will not formally record your attendance, but you are encouraged to come to lectures. By attending lectures you will get a sense of what I consider important and that should help you know what to focus on when you study for the exams.
No cell phones and no computers are allowed during the lecture, except for note taking.
Academic Support:
Besides attending the lectures and the recitation sections I encourage you to use the following opportunities for additional academic support:
 Come to my office hours and to your section's teaching assistant's office hours.
 Go to the math helproom in Krieger 213. The hours are 9:0021:00 on Monday through Thursday and 9:0017:00 on Friday. This free service is a very valuable way to get oneonone help on the current material of the class from other students outside the course. It is staffed by graduate students and advanced undergraduates.
 Participate in the PILOT learning program. It is a peerledteam learning program. Students are organized into study teams consisting of 610 members who meet weekly to work problems together. A trained student leader acts as captain and facilitates the meetings.
 Make use of the Learning Den Tutoring Services.
Check out the following JHU webpage with information about academic support and tutoring.
Special Aid:
Students with disabilities who may need special arrangements within this course must first register with the Office of Academic Advising. I will need to have received confirmation from the Office of Academic Advising. To arrange for testing accomodations please remind me at least 7 days before each of the midterms or final exam by email.
JHU Ethics Statement:
The strength of the university depends on academic and personal integrity. In this course, you must be honest and truthful. Cheating is wrong. Cheating hurts our community by undermining academic integrity, creating mistrust, and fostering unfair competition. The university will punish cheaters with failure on an assignment, failure in a course, permanent transcript notation, suspension, and/or expulsion. Offenses may be reported to medical, law, or other professional or graduate schools when a cheater applies.
Violations can include cheating on exams, plagiarism, reuse of assignments without permission, improper use of the internet and electronic devices, unauthorized collaboration, alteration of graded assignments, forgery and falsification, lying, facilitating academic dishonesty, and unfair competition. Ignorance of these rules is not an excuse.
In this course, as in many math courses, working in groups to study particular problems and discuss theory is strongly encouraged. Your ability to talk mathematics is of particular importance to your general understanding of mathematics. You should collaborate with other students in this course on the general construction of homework assignment problems. However, you must write up the solutions to these homework problems individually and separately. If there is any question as to what this statement means, please ask the instructor.
ODE Applets:
Here are several links to webpages with applets that are helpful for understanding the behavior of solutions to ordinary differential equations (ODEs):
I find this slope field plotter very good. The following mathlet for illustrating linear phase portraits is very helpful and you may want to check out other MIT Mathlets. You can also use Wolfram Alpha to plot slope fields of ODEs (enter "streamplot"). Finally, there is a collection of helpful Java Applets for ODEs (JOde) from Hopkins.
