The Probability and Stochastic Processes I and II course sequence allows the student to more deeply explore and understand probability and stochastic processes. The first course in the sequence provides a deep analysis of fundamental concepts in probability to lay the foundation for the second course, EN.625.722 and other specialized courses in probability. This course builds from previous understanding of probability from Statistical Methods and Data Analysis (EN.625.603) and encourages the student to take a much more critical eye to what a model in probability means and how probability is defined and worked with. The entry point is probability space and random variables. From there, we will consider functions of random variables, along with independence and conditional probabilities. This leads to moments, joint distributions, multivariate random variables, and variance. We then focus more tightly on distributions of random variables, posterior distributions, probability generating functions, moment generating functions, characteristic functions, random sums and the types of convergence and convergence concepts. We cover the law of large numbers and central limit theorems, the Borel-Cantelli Lemmas, order statistics, stable distributions, and extreme value distributions. Our connection point to 625.722 is the last part of the course where we cover homogeneous Poisson processes, non-homogeneous Poisson processes, and compound Poisson processes. This course is proof oriented but will not require measure theory or real analysis.
The course materials are divided into modules which can be accessed by clicking Course Modules on the left menu. A module will have several sections including the overview, content, readings, discussions, and assignments. You are encouraged to preview all sections of the module before starting. Most modules run for a period of seven (7) days, exceptions are noted in the Course Outline. You should regularly check the Calendar and Announcements for assignment due dates.
The goal of this course is to use a rigorous non-measure theoretic approach to cover probability topics.
It is expected that each module will take approximately 10-15 hours per week to complete. Here is an approximate breakdown: reading the assigned sections of the texts (approximately 3–4 hours per week) as well as some outside reading, working through the video presentations (approximately 2–3 hours per week), and homework/project work (approximately 5-8 hours per week).
This course will consist of the following basic student requirements:
Discussion Forums (15% of Final Grade Calculation)Online forum participation is an important component of mastering the course material. For most of the course modules, topics will be posted for discussion by all students. In general, each topic will require a thoughtful response and not simply a regurgitation of what was covered in the associated module. In addition, there will be opportunities to discuss the lesson content during the weekly office hours.
Posting a response to the discussion question is part one of your grade for participation in the discussion forums (Timeliness).
Part two of your grade for discussion forum participation is your interaction (i.e., responding to classmate postings with thoughtful responses) with at least two classmates (Critical Thinking). Just posting your response to a discussion question is not sufficient; we want you to interact with your classmates. Be detailed in your postings and in your responses to your classmates' postings. Feel free to agree or disagree with your classmates. Please ensure that your postings are civil and constructive.
We will monitor class discussions. Participation in the discussion forums is evaluated by the following grading elements:
100–90—Timeliness [regularly participates; all required postings; early in discussion; throughout the discussion]; Critical Thinking [rich in content; full of thoughts, insight, and analysis].
89–80—Timeliness [frequently participates; all required postings; some not in time for others to read and respond]; Critical Thinking [substantial information; thought, insight, and analysis has taken place].
79–70—Timeliness [infrequently participates; all required postings; most at the last minute without allowing for response time]; Critical Thinking [generally competent; information is thin and commonplace].
<70—Timeliness [rarely participates; some, or all required postings missing]; Critical Thinking [rudimentary and superficial; no analysis or insight is displayed].
Assignments will be problem sets. Include a cover sheet with your name and assignment identifier. Also include your name and a page number indicator (i.e., page x of y) on each page of your submissions. Each problem should have the problem statement, assumptions, computations, and conclusions/discussion delineated. All Figures and Tables should be captioned and labeled appropriately.
All assignments are due according to the dates in the Calendar.
Homework is considered late if more than 24-hours past the due-date. The policy that I’ve adopted is based on other courses, and the finding that to keep up with the course, homework must be turned in on-time and then preparation started for the next week’s material. For this reason any homework more than 48-hours past the due date is not given a grade.
If, after submitting a written assignment you are not satisfied with the grade received, you are encouraged to redo the assignment and resubmit it. If the resubmission results in a better grade, that grade will be substituted for the previous grade.
Assignments are evaluated by the following grading elements:
Assignments are evaluated by the following grading elements:
A course project will be self-selected at the start of the course. Individual guidance/feedback will be provided to help decide on the project. Please consult the list of Project Topics in the ‘Syllabus and Course Information Section’ on Canvas for more information.
The course project is evaluated by the following grading elements:
Course Project is graded as follows:
The midterm will be evaluated by the following grading elements:
Assignments are due according to the dates posted in the Canvas course site. You may check these due dates in the Course Calendar or the Assignments in the corresponding modules. I/We will post grades one week after assignment due dates.
We generally do not directly grade spelling and grammar. 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.
A grade of A indicates achievement of consistent excellence and distinction throughout the course—that is, conspicuous excellence in all aspects of assignments and discussion in every week.
A grade of B indicates work that meets all course requirements on a level appropriate for graduate academic work. These criteria apply to both undergraduates and graduate students taking the course.
100–98 = A+
97–94 = A
93–90 = A−
89–87 = B+
86–83 = B
82–80 = B−
79–70 = C
Final grades will be determined by the following weighting:
Item | % of Grade |
Assignments | 15% |
Discussion Forums | 15% |
Course Project | 35% |
Midterm | 35% |
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 is committed to providing welcoming, equitable, and accessible educational experiences for all students. If disability accommodations are needed for this course, students should request accommodations through Student Disability Services (SDS) as early as possible to provide time for effective communication and arrangements. For further information about this process, please refer to the SDS Website.
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.