Through online lectures and mini cohorts, this course illustrates the fundamental applications of materials to spacecraft design for a systems engineering perspective. Topics include the environments of dynamics, vacuum, thermal, reactive chemicals, radiation, and electrostatics relating to material selection; applications in the material classes of metals, ceramics, polymers, and composites to spacecraft design; design considerations from preliminary design through product verification, launch, and mission operations; and considerations for environment impacts, commons issues encountered, and lessons learned. The course is not intended to cover materials analysis that is taught specific to individual engineering domains, rather it instructs the application of the materials to the space environment with specific industry examples.
The course materials are divided into modules which can be accessed by clicking Modules on the course 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. You should regularly check the Calendar and Announcements for assignment due dates.
Weekly course view:
The sequence for 4-10 may be adjusted.
To identify and describe the materials applications to spacecraft development and then apply that knowledge as a spacecraft systems engineering leading a development.
Preparation and Participation (20% of total grade)
You are responsible for carefully reading all assigned material and being prepared for discussion. The majority of readings are from the course text. Additional reading may be assigned to supplement text readings. Post your initial response to the discussion questions by the evening of day 4 for that module week. Posting a response to the discussion question is part one of your grade for module discussions (i.e., Timeliness).
Part two of your grade for module discussion is your interaction (i.e., responding to classmate postings with thoughtful responses) with at least two classmates (i.e., 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 module discussions and will respond to some of the discussions as discussions are posted. In some instances, We will summarize the overall discussions and post the summary for the module.
Evaluation of preparation and participation is based on contribution to discussions and will be graded as follows:
| Initial original post | 6 points |
| Response and engagement with 1st classmate | 2 Points |
| Response and engagement with 2nd classmate | 2 points |
Preparation and participation will also be evaluated by the following grading elements:
Preparation and participation is graded as follows:
Assignments will include a mix of qualitative assignments (e.g. literature reviews, model summaries), quantitative problem sets, and case study updates. There will be 3 assignments having a 1-page minimum requirement. 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. Late submissions will be reduced by one letter grade for each week late (no exceptions without prior coordination with the instructors).
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.
The final project is similar to the assignments, but with a 5-page minimum requirement. The focus is on lessons learned utilizing the previous lecture topics.
Assignments are due according to the dates posted in your Canvas course site. You may check these due dates in the Course Calendar or the Assignments in the corresponding modules. 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.
EP uses a +/- grading system (see “Grading System”, Graduate Programs catalog, p. 10).
| Score Range | Letter Grade |
|---|---|
| 100-97 | = A+ |
| 96-93 | = A |
| 92-90 | = A− |
| 89-87 | = B+ |
| 86-83 | = B |
| 82-80 | = B− |
| 79-77 | = C+ |
| 76-73 | = C |
| 72-70 | = C− |
| 69-67 | = D+ |
| 66-63 | = D |
| <63 | = F |
The final grades will be will be determined by the following weighting:
| Item | % or Grade |
| Preparation and participation in discussions | 20% |
| Assignments | 30% |
| Project | 40% |
| Quizzes | 10% |
Weekly attendance in the Virtual Live sessions is highly encouraged. All sessions will be recorded so that they can be reviewed for absences or additional insight in completing the assignments and self-quizzes.
AI Usage
We all find ourselves in a new world where AI in general, and generative AI (genAI) in particular, has become a ubiquitous tool being employed by nearly everyone, some more “successfully” than others. Technically savvy engineering professionals and students are certainly no exception. In the academic environment we collectively operate in for this class, and for the SSE program as a whole, it would benefit us all to have clear guidelines and expectations for how we employ genAI.
Simply producing products and deliverables is not the main reason for course assignments and project work. The assignments and project activities and the active, iterative process of producing deliverables are meant to engage you in the art and science of applied systems thinking and systems engineering. Possibly in 10-20 years, AI programs will be able to do most of the thinking, writing, and engineering for you. But today and for the near future, success in your academic and career endeavors will continue to be enabled by your ability to engage in critical thinking, develop innovative ideas, discuss and evaluate alternatives, engineer solutions to complex problems, and communicate via the written and spoken word, all enabled and enhanced by your engineering knowledge and demonstrated technical excellence. Please make sure the convenience of genAI does not rob you of the learning opportunities that higher education avails you.
genAI tools may produce individual sentences or even paragraphs that seem well written, but please be mindful of the following concerns associated with genAI tools and/or their products:
The use of genAI technology itself does not violate JHU’s academic misconduct policy.
When using genAI tools for assignments and other assessments in this course, please note the following:
AI Requirements
Penalties for AI misuse
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. 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
Students with Disabilities - Accommodations and Accessibility
Student Conduct 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.