This course will provide students with foundational knowledge in signals and systems essential for graduate study in electrical and computer engineering, and other related disciplines. Signal and system representations and analysis tools in both continuous time and discrete time are studied. Linear time-invariant systems are defined and analyzed. The Fourier transform, the Laplace transform, and the z-transform are treated along with the sampling theorem. Finally, fundamental concepts in probability, statistics, and random processes are considered. Prerequisite(s): Two or more semesters of calculus and differential equations. Familiarity with computer programming is beneficial.
The course content is divided into Modules. Modules can be accessed by clicking Modules on the left menu of the Canvas site. A module will have several sections including the overview, content, readings, discussions, and assignments. Students are encouraged to preview all sections of the module before starting. Most modules run for a period of seven (7) days, exceptions are noted. Students should regularly check the Calendar and Announcements for assignment due dates.
Course topics include the following:
Linear Time-Invariant (L TI) Systems
Convolution in continuous-time and discrete-time
Fourier Series
Fourier Transforms
Sampling continuous-time signals
Laplace Transforms
z-Transforms
Concepts of Probability
Random Variables
Random Processes
To prepare students for graduate study in engineering disciplines requiring knowledge of signal and system fundamental concepts. Topics of interest include continuous-time and discrete-time signal and system representations and analysis tools in time and frequency; Fourier analysis in continuous-time and discrete-time; and fundamental concepts in probability, statistics, and random processes.
S. K. Mitra, Signals and Systems (Oxford, 2015).
Lipschutz, S. & Lipson, M. (2021) Schaum’s Outline of Probability, 3rd Ed
Other References for Signals and Systems topics:
Hsu, H. Schaum's Outline of Signals and Systems , (2nd, 3rd, or 4th Ed). New York, McGraw-Hill
J. H. McClellan, R. W. Schafer, M. A. Yoder, DSP First (Prentice-Hall, 2015).
S. Haykin and B. Van Veen, Signals and Systems , 2nd Edition (Wiley, 2002).
A. Oppenheim and A. Willsky, Signals and Systems , 2nd Edition (Pearson, 1996).
The software application MATLAB will be used throughout this course. A license is provided at no cost to you, through JHU.
Instructions for accessing MATLAB are at Accessing-Matlab-at-JHU.
Weekly Assignments: Each module will contain a graded assignment that students will complete individually. Weekly assignments will vary depending on module learning objectives and may include analysis and visualization using a programming language such as MATLAB. (70% of total grade)
Discussion Activities: Periodic discussion activities where students will be asked to participate in asynchronous discussions on topics related to the module learning objectives. (15% of total grade)
Mini project: Each student will investigate a signal and/or system that they have encountered in their job, prior academic experience, or in their day-to-day lives. The signal or system should be analyzed using the tools developed in this course. The results of the investigation will be documented in a presentation no longer than 5-minutes and posted on the course site. Each student will be expected to view at least 3 of their fellow classmates’ recordings and comment on it. (15% of grade).
Brief, ungraded self-check questions will be provided in most of the modules
The following grading scale will be used.
100%–90% = A
89%–80% = B
79%–70% = C
<70% = F
Deadlines for Adding, Dropping and Withdrawing from Courses
Students may add a course up to one week after the start of the term for that particular course. Students may drop courses according to the drop deadlines outlined in the EP academic calendar (https://ep.jhu.edu/student-services/academic-calendar/). Between the 6th week of the class and prior to the final withdrawal deadline, a student may withdraw from a course with a W on their academic record. A record of the course will remain on the academic record with a W appearing in the grade column to indicate that the student registered and withdrew from the course.
Academic Misconduct Policy
All students are required to read, know, and comply with the Johns Hopkins University Krieger School of Arts and Sciences (KSAS) / Whiting School of Engineering (WSE) Procedures for Handling Allegations of Misconduct by Full-Time and Part-Time Graduate Students.
This policy prohibits academic misconduct, including but not limited to the following: cheating or facilitating cheating; plagiarism; reuse of assignments; unauthorized collaboration; alteration of graded assignments; and unfair competition. Course materials (old assignments, texts, or examinations, etc.) should not be shared unless authorized by the course instructor. Any questions related to this policy should be directed to EP’s academic integrity officer at ep-academic-integrity@jhu.edu.
Students with Disabilities - Accommodations and Accessibility
Johns Hopkins University values diversity and inclusion. We are committed to providing welcoming, equitable, and accessible educational experiences for all students. Students with disabilities (including those with psychological conditions, medical conditions and temporary disabilities) can request accommodations for this course by providing an Accommodation Letter issued by Student Disability Services (SDS). Please request accommodations for this course as early as possible to provide time for effective communication and arrangements.
For further information or to start the process of requesting accommodations, please contact Student Disability Services at Engineering for Professionals, ep-disability-svcs@jhu.edu.
Student Conduct Code
The fundamental purpose of the JHU regulation of student conduct is to promote and to protect the health, safety, welfare, property, and rights of all members of the University community as well as to promote the orderly operation of the University and to safeguard its property and facilities. As members of the University community, students accept certain responsibilities which support the educational mission and create an environment in which all students are afforded the same opportunity to succeed academically.
For a full description of the code please visit the following website: https://studentaffairs.jhu.edu/policies-guidelines/student-code/
Classroom Climate
JHU is committed to creating a classroom environment that values the diversity of experiences and perspectives that all students bring. Everyone has the right to be treated with dignity and respect. Fostering an inclusive climate is important. Research and experience show that students who interact with peers who are different from themselves learn new things and experience tangible educational outcomes. At no time in this learning process should someone be singled out or treated unequally on the basis of any seen or unseen part of their identity.
If you have concerns in this course about harassment, discrimination, or any unequal treatment, or if you seek accommodations or resources, please reach out to the course instructor directly. Reporting will never impact your course grade. You may also share concerns with your program chair, the Assistant Dean for Diversity and Inclusion, or the Office of Institutional Equity. In handling reports, people will protect your privacy as much as possible, but faculty and staff are required to officially report information for some cases (e.g. sexual harassment).
Course Auditing
When a student enrolls in an EP course with “audit” status, the student must reach an understanding with the instructor as to what is required to earn the “audit.” If the student does not meet those expectations, the instructor must notify the EP Registration Team [EP-Registration@exchange.johnshopkins.edu] in order for the student to be retroactively dropped or withdrawn from the course (depending on when the "audit" was requested and in accordance with EP registration deadlines). All lecture content will remain accessible to auditing students, but access to all other course material is left to the discretion of the instructor.