Queues are a ubiquitous part of everyday life; common examples are supermarket checkout stations, help desk call centers, manufacturing assembly lines, wireless communication networks, and multi-tasking computers. Queuing theory provides a rich and useful set of mathematical models for the analysis and design of service process for which there is contention for shared resources. This course explores both theory and application of fundamental and advanced models in this field. Fundamental models include single and multiple server Markov queues, bulk arrival and bulk service processes, and priority queues. Applications emphasize communication networks and computer operations but may include examples from transportation, manufacturing, and the service industry. Advanced topics may vary.
The course materials will be posted on Canvas in the appropriate folders by date (Lecture Notes, Homework, Zoom recording). You are required to watch the live lectures within 48 hours of the of their posting if you do not attend the live class. You are also encouraged to read through the instructor lecture notes and recommended reading. Homework will be assigned after each lecture and due the following Tuesday. In addition to the main content of the course, students will have a final presentation on topics of interest related to queueing theory. You should regularly check the Calendar and Announcements for assignment due dates.
Provide the student with a rigorous framework with which to model and analyze queueing systems.
By the end of this course, you will be able to:
• Have a rigorous understanding of the theoretical background of queueing systems.
• Understand and compute quantitative metrics of performance for queueing systems
• Apply and extend queueing models to analyze real world systems.
Fundamentals of Queueing Theory, 5th ed., by D. Gross, J. Shortle, J. Thompson, and C. Harris, (Wiley 2018)
Textbook information for this course is available online through the appropriate bookstore website: For online courses, search the MBS website at http://ep.jhu.edu/bookstore
None. Some homework assignments will require the use of a computer; the student is free to use any programming language with which he/she is comfortable. The author of the text has associated software available for download, however this is not required.
It is expected that each week you will need to work for 6 - 10 hours. Here is an approximate breakdown: watching live/recorded lectures (approximately 2–3 hours per week), reading the assigned sections of the texts and other readings (approximately 1-2 hours per week), and problem sets (approximately 3–5 hours per week).
Your final grade will be broken down as follows:
• Weekly Problem Sets: Each week a graded problem set will be assigned on Wednesday and due the following Tuesday by the beginning of the lecture. These assignments will be returned weekly, providing frequent feedback. Late assignments will not be accepted, however the lowest homework grade will be dropped. The remaining 10 grades will have the combined worth of 30% of your final grade. While discussion of the homework is allowed, you must destroy all notes from the discussion and prepare your solutions separately, indicating on your assignment which classmates you worked with. Copying from any source will be considered cheating and will result in a grade of 0 on the assignment and possibly a grade of F in the course.
• Group Project Each student will be required to do a course group project during the second half of the semester. The topics will vary and can be discussed with the instructor. The students will present their project during the live lecture on class or on April 25th . The group project is worth 10% of your final grade. More information to come on these later in the semester.
• Exams: There will be two exams given. A midterm on March 7th and the final exam on May 2nd. These exams will be timed, non-cumulative, and cover the material from the previous lectures. Each of these exams will be worth 30% of your final grade.
Assignments are due according to the dates posted in your Canvas course site. You may check these due dates in the Calendar or the Assignments in the corresponding modules. I will post grades about a week after assignment due dates.
We generally do not directly grade spelling, grammar, or handwriting. However, egregious violations of the rules of the English language will be noted without comment. Consistently poor performance in either spelling or grammar is taken as an indication of poor written communication ability that may detract from your grade. Also, if assignments are exceptionally messy or hard to read, points will be deducted. Basically, if I can't read it, I can’t grade it. So please keep your work neat. Direct copying from any sources is not allowed. Academic dishonesty will not be tolerated.
Final grades will be determined by the following weighting:
Academic Integrity Course
You will be enrolled in an academic integrity training course shortly after registering for your first class at Johns Hopkins Engineering for Professionals. This course covers the fundamental values of academic integrity, as well as information related to our academic misconduct policy. You will receive guidance on proper citation, and learn how to avoid mistakes like plagiarism and other violations of academic misconduct.
The academic integrity training course can be accessed through Canvas and will take approximately 30 minutes to complete. This is a pass/fail course and the grade will be posted to your transcript. All students are expected to complete the academic integrity course within their first term. For more information on our academic misconduct policy, please visit: http://ep.jhu.edu/faculty/prepare-to-teach/academic-misconduct.
Plagiarism
Plagiarism is defined as taking the words, ideas or thoughts of another and representing them as one's own. If you use the ideas of another, provide a complete citation in the source work; if you use the words of another, present the words in the correct quotation notation (indentation or enclosed in quotation marks, as appropriate) and include a complete citation to the source. See the course text for examples.
Collaboration Guidelines
While discussion of the homework is allowed, the assignments are intended to be done individually and you must prepare your solutions separately. You must destroy all notes from the discussion and prepare your solutions separately, indicating on your assignment which classmates you worked with. Copying of written work or computer code on any assignment/exam/discussion is considered to be cheating as is searching the internet for solutions to the problems. These activities will result in a grade of zero on the assignment and possibly an F in the course. Discussion or cheating on the exams is strictly prohibited and will result in an F in the course. Contact me if you have any questions, no matter how slight, about this policy, or if you have questions about a particular assignment
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.