| Lecture M001 | TuTh | 3:30PM 4:50PM | SOM 007 |
| Recitation M002 | Tu | 5:00PM 5:55PM | Hall Lang 202 |
| Recitation M003 | Th | 5:00PM 5:55PM | Crouse Hinds 017 |
Important dates
| Exercise problems assigned regularly | not graded |
| Frequent 10-minute quizzes on lectures and exercise problems | 20% |
| MATLAB projects | 20% |
| Best 3 of 4 Exams (including the final exam) | 60% |
Academic Integrity Policy: The Syracuse University Academic Integrity Policy holds students accountable for the integrity of the work they submit. Students should be familiar with the Policy and know that it is their responsibility to learn about instructor and general academic expectations with regard to proper citation of sources in written work. The policy also governs the integrity of work submitted in exams and assignments as well as the veracity of signatures on attendance sheets and other verifications of participation in class activities. Serious sanctions can result from academic dishonesty of any sort.
For more information and the complete policy, see http://academicintegrity.syr.edu
I will use a web-based service called "turnitin.com" as a tool to learn about and minimize plagiarism. You will be able to use this tool in your other academic work, unless other instructors already utilize it in their classes. http://turnitin.com/static/training.html
There will be frequent short quizzes, based on homework and class material. Some quizzes will be unannounced.
There will be three equally weighted, non-comprehensive exams with the schedule below, given during the main lecture period. Final exam is comprehensive, and equal in weight to the first three exams. The of the four exam scores will be dropped.
| Exam #1 | Thu, Feb 14 |
| Exam #2 | Thu, Mar 20 |
| Exam #3 | Thu, Apr 24 |
| Final Exam (optional) | Tue, May 6, 7:15-9:15pm |
There will be two Matlab projects.
| ABET Outcomes | Contribution | |
| (a) | an ability to apply knowledge of mathematics, science, and engineering | (3) |
| (b) | an ability to design and conduct experiments, as well as to analyze and interpret data | (1) |
| (c) | an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | (3) |
| (d) | an ability to function on multi-disciplinary teams | (2) |
| (e) | an ability to identify, formulate, and solve engineering problems | (3) |
| (f) | an understanding of professional and ethical responsibility | (1) |
| (g) | an ability to communicate effectively | (2) |
| (h) | the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | (1) |
| (i) | a recognition of the need for, and an ability to engage in life-long learning | (2) |
| (j) | a knowledge of contemporary issues | (2) |
| (k) | an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | (3) |
| Additional EE Outcomes | Contribution | |
| (l) | An ability to think critically as evidenced by skills in interpretation, analysis, evaluation, inference, argumentation, and reflection | (3) |
| (m) | An understanding of the concept and process of modeling of electrical systems | (3) |
| (n) | An ability to design and conduct experiments in electrical systems as well as to analyze and interpret data | (1) |
| (o) | An ability to design a system, component, or process to meet desired needs of electrical systems | (3) |
| (p) | An ability to identify, formulate and solve electrical engineering problems | (3) |
| Additional CE Outcomes | Contribution | |
| (l) | An ability to think critically as evidenced by skills in interpretation, analysis, evaluation, inference, argumentation, and reflection. | (3) |
| (m) | An understanding of principles of construction of computing systems. | (0) |
| (n) | An understanding of abstraction and refinement of computing systems. | (0) |
| (o) | An ability to predict and reason about design correctness and performance of computing systems. | (0) |
| (p) | An ability to use methods and practices to design correct and reliable computing systems. | (0) |
| (q) | An ability to test and verify that computing systems are in fact correct and reliable. | (0) |