Work Phone: 443-778-0681
Dr. Michael Fitch obtained his PhD in Physics from the University of Rochester (NY) in 2000. His dissertation received the URA Thesis Award in 2001. His undergraduate degree, also in physics, is from Princeton University (NJ). After a postdoctoral fellowship at the Institute of Optics (Rochester NY) and at JHUAPL, he has been research staff at JHUAPL. His research interests are lasers, photonics, sensors, and quantum optics.
The primary objective of this course is to present recent advances made in the field of sensors. A broad overview includes optical, infrared, hyperspectral, terahertz, biological, magnetic, chemical, acoustic, and radiation sensors. The course will examine basic sensor operation and the implementation of sensors in measurement systems. Other topics to be covered are physical principles of sensing, interface electronic circuits, and sensor characteristics.
To master the physical properties and engineering characteristics of sensors and sensor systems.
By the end of the course, students should be able to:
Identify and describe several types of sensors
Analyze the needs of a sensor system and choose sensors accordingly.
When This Course is Typically Offered
This course is typically offered in the Fall term at APL.
- Optical sensors
- Bio-chem sensors
- Terahertz and millimeter-wave sensors
- Radiation sensors
- Magnetic sensors
- Hyperspectral sensors
- Microscopy, including SEM, STM, AFM
- MEMS sensors
Student Assessment Criteria
|Homework (4 assignments)||20%|
|Mid-term Exam (open book, open notes)||35%|
|Final Exam (open book, open notes)||35%|
There will be four homework assignments, due roughly once every three weeks. Assignements and due dates will be given in class and posted on the web. Late homework will be accepted only with prior permission of the instructor.
Homework will be accepted either on paper, by email to the instructor, or can be submitted through the course web site on Sakai. I realize that most students have jobs which occasionally require travel and/or other unusual circumstances. Although late homeworks will be accepted with prior permission, please try to meet the deadline so that the solutions can be distributed and discussed.
It is assumed that graduate students are adept at writing English and no points will normally be subtracted for English errors; in cases of exceptionally poor English points will be deducted. All external sources of information used to support must be appropriately referenced.
Computer and Technical Requirements
You will need the free Adobe PDF viewer software to view PDF files in this course. Go to http://www.adobe.com/products/acrobat/readstep.htmlZip Software:
You will also need software for "zipping" and "unzipping" (compressing and uncompressing) files. Two popular shareware "zip" programs can be downloaded from the sites linked below:For Windows - WinZip at http://www.winzip.com/
For Macintosh - ZipIt at http://www.maczipit.com/download.html
You will be using Adobe Connect, a web-based conferencing system, to participate in real time office hours. To use Adobe Connect, please perform a connection test on your computer to make sure your software is current by going to http://connect.johnshopkins.edu and selecting Connection Test. If you have any trouble connecting to an Adobe Connect meeting, please visit the Technical Support website at http://help.sset.jhu.edu/x/bIA7. After reviewing the contents of this site, if you still need assistance please e-mail email@example.com or complete the online support form.
If you are a first-time EPP Online student, you will have an opportunity to test the Adobe Connect software during the week long mandatory EPP Online Orientation. Others can email EPP Online at firstname.lastname@example.org if they are interested in attending one of the 30-minute online orientations to Adobe Connect.
Provide a detailed list of student requirements.
This course will consist of four basic student requirements:
Homework - Each student is required to complete all homework assignments to earn a course grade. Homework assignments will be evaluated and graded on a scale of 0 to 100. It is important to note that homework assignments that fully meet all objectives will receive a grade of 95. The remaining 5 points are reserved for products that go beyond the established objectives of the assignment and clearly identify additional effort, additional research, or self-assessment. Homework not submitted will receive a grade of 0, resulting in an incomplete for the course. Late homework assignments will be reduced by a 10 point penalty per week late. Deficient homework will be returned to students for resubmission within 1 week; the final grade for the specific homework assigned will be the average of the two grades. The intent is to ensure that you are successfully learning the concepts taught in this course. Homework assignments will generally involve answering a scenario problem based upon a specific project management skill. Homework assignments will be uploaded into the course site and will be accepted in ASCII or Microsoft Word 97(R) (or later) format. Any resubmissions should be sent to the grading instructor* via the course site mail.
*The grading instructor is listed in the Course Outline.
Discussions - Student participation in class discussions is imperative for a successful online class experience Lessons learned and past experiences provide the entire class with a broader perspective of the topics being discussed. All students are required to participate throughout the semester. As shown in the table above, class participation will count toward the student's final grade. Throughout the week, each student is required to submit postings to the assigned discussion thread. Each student is expected to respond to the initial discussion question and to at least two of your classmates' responses (additional postings are preferred). A student's initial response and one follow-on posting must be "significant" in nature (see definition below). The goals of these discussions are to (a) thoroughly examine the topic area, (b) apply critical thinking skills, and (c) establish a repository of research material to be used throughout the semester.
Definition of "significant" posting: (a) 300 words or greater, (b) properly referenced, and (c) demonstrating critical thinking skills (opinion should be separated from fact). These postings will count toward class participation.
- Day 1 (Wednesday) - discussion topic is posted
- Day 1-3 (Wednesday-Saturday) - initial student response is posted
- Day 1-6 (Wednesday-Tuesday) - follow-on student responses are posted
Examinations - A mid-term and a final will be given. Each will be graded on a scale of 0 to 100. The midterm is scheduled for October 15, 2009 and the Final will be December 12, 2009. The exams are open book, open notes.
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
Final Words from the Instructor
Additional reading materials and/or lecture notes will be posted on the course web site (Sakai).
The course number on Sakai will be something like: EN615_747_31_FA09
(Last Modified: 12/02/2013 12:07:45 PM)
CEE375 - Sensors, Electrical Circuits, and Signal Processing
University of Michigan, Winter Semester 2016-2017
Professor Jerome P. Lynch
Basic course information
Lectures: Mondays and Wednesdays, 11:30 - 12:30 pm, 1200 EECS Building (Online Lecture Recordings)
Laboratory: Fridays, 1:30 - 3:30 pm, 113 Gorguze Family Laboratory Building
Instructor:Jerome P. Lynch, 2060 G.G. Brown
Graduate Student Instructor: Hao Zhou,
- Prof. Lynch: Mondays and Wednesdays, 10:30-11:30 am, 2380 G. G. Brown
- Mr. Hao Zhou: Tuesdays, 8:00-10:00pm (GGB Annex Basement), Fridays, 12:30-1:30 am and 3:30-5:30 pm (113 GFL)
- Regular attendance
- Weekly homework assignments
- In class quizes
- Midterm exams
- Laboratory projects
Grading: Homework 25%, midterms 40%, quizzes 10%, and laboratory projects 25%. These weights are approximate; the right to change them later is reserved.
Prerequisites: Physics 240 - General Physics II (strongly recommended)
Catalog description: This course introduces students to the fundamentals of collecting and processing experimental data for civil and environmental applications. The course begins with an introduction to DC and AC circuits followed by the coverage of sensors used in the civil and environmental field. Examples and hands-on demonstrations will be presented relevant to seismic, environmental, structural and hydraulic monitoring.
- [Jan 01-17] Welcome to CEE375 Sensors, Electrical Circuits, and Signal Processing
- [Jan 05-17] Friday, January 6 Class will be in 1200 EECS from 2:00pm to 3:00pm