This course explores strategies and technologies used in the biomechanical analysis of individuals and teams in sports in order to minimize the risk of injury and improve performance. This course focuses on the intersection of anatomy, physiology, kinesiology, and mechanical engineering in order to discover, model, characterize and optimize sports performance and injury determinants. Sports applications will be studied, evaluating specific movements, injuries, technologies, techniques and strategies that are used in the associated professional fields. Topics covered will include the forces in equilibrium, forces causing motion, deformable mechanics as well as the biomechanics of running, the biomechanics of baseball, the biomechanics of golf, contact sports injury biomechanics, human performance monitoring and data analysis for player performance, and technologies and techniques in sports biomechanics. Students will be asked to survey and critique sports biomechanics research literature, characterize and model sports movements through sensors and data analysis, design clinical programs to train and evaluate sport-specific movements, solve simple biomechanics problems, and implement data analysis principles on sports performance datasets.Prerequisites: A background in physics, biomechanics, or mechanical engineering is required. Introduction to biomechanics (585.631) is recommended. A physiology course is also recommended. Experience in programing (e.g., working in MATLAB/Python) is recommended.
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. Modules run for a period of seven (7) days. You should regularly check the Assignments and Announcements for assignment due dates.
To learn the biomechanical principles, techniques and technology used in real-world sports biomechanics applications in order to understand how engineering can help prevent injuries and maximize sports performance for professional and amateur athletes across the world.
All readings are available online through eReserves. Three main textbooks are used for the course and available to JHU ABE EP students for free and can be accessed online through eReserves. These textbooks are shown below:
MATLAB
You will need access to a recent version of MATLAB (anything later than 2023a). A license is provided at no cost to you, through JHU.
Visit the JHU IT Services Portal. Log in with your JHED ID and type “Matlab” in the search bar. Click on “Matlab for Students” in the search results and follow the instructions provided.
Camera Collection Software, Drivers, and Analysis Software
You will be utilizing course hardware (high speed camera) to collect data for lab activities and for the final report. You will be required to download and use various software and drivers to use the camera. Various prelab documents and/or recordings will be posted throughout the course.
It is expected that each module will take approximately 7–10 hours per week to complete. Here is an approximate breakdown: reading the assigned sections of the texts (approximately 2–3 hours per week), listening to the audio annotated slide presentations and self-guided multiple-choice questions (approximately 2–3 hours per week), and various homework assignments (approximately 3–4 hours per week; problem sets, guided MATLAB exercises, and literature critiques).
This course will consist of the following basic student requirements:
Forum Discussions (28% of Final Grade Calculation)
Forum discussions are assigned in modules 1(2 discussion prompts),2-13 and will be posted in the Discussions section. You are responsible for carefully reading all assigned material and being prepared for discussion.
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. When prompted, please use the 3C+Q (Compliment, comment, connect, and ask a question) format in your first response to classmates
We will monitor module discussions and will respond to some of the discussions as discussions are posted.
Participation is evaluated by the following grading elements:
The percent of possible credit for each of the 14 assignments will be multiplied by 2% of your total grade, as graded forum discussions make up 28% of the total grade for this course.
Weekly graded assignment (40% of Final Grade Calculation)
Weekly graded assignments will be assigned for modules 1-12. These include problem sets as well as more applied practical lab activities. Make sure to include a cover sheet with your name and assignment identifier (e.g., Module 2, Problem Set). Also include your name and a page number indicator (i.e., page x of y) on each page of your submissions. You may submit an edited word doc, or a scanned/photographed copy of your homework assignment (provided the work is legible). For each problem, please state any assumptions/context/approach upfront before solving the problem. Make sure to show your work using figures and full sentences!
All assignments are due according to the date given in the assignment
Late submissions will be reduced by one letter grade for each week late (no exceptions without prior coordination with the instructors).
Quantitative assignments are evaluated by the following grading elements:
For each problem in the assignment, full credit will need
Qualitative assignments are evaluated by the following grading elements:
For each problem in the assignment, full credit will need
Lab assignments will have submission instructions in the document and will have points assigned to each prompt. Points received will be divided by total points for a grade out of 100
For each problem in the assignment general quantitative and qualitative guidelines, shown above, should be followed. Correctness and quality of data, videos, plots and code will be considered. Title and label all plots and code submitted.
The percent of possible credit for each of the 12 assignments will be multiplied by 3.33% of your total grade, as weekly graded assignments make up 40% of the total grade for this course.
Final Project and Presentation (32% of Final Grade Calculation)
A course project will be assigned two modules into the course. Students will be required to select a topic (to be submitted and approved by instructor) by module 7. The project is to address a problem or opportunity in the sports biomechanics field. The project should include data collection and analysis. The project is open-ended but must have the following items:
Students can deliver a knowledge product (e.g. answering a research question) or deliver a software product (e.g. algorithm or model) for their project. Students will be prompted to submit items at various points in the semester to ensure timeliness or progress and quality of results. Students will be required to submit a stand-alone ppt, fully describing the projects’ motivation, methods, and results, with associated code and data for full credit.
The last module of class will have 4 associated presentation times where students will be required to present a 15 minute presentation fully describing their project and results. A more detailed rubric will be sent out during the course
The percent of possible credit for each portion of the assignment will be added up and multiplied by 32% of your total grade
Assignments are due according to the dates posted in your Canvas course site.
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).
100-98 = A+
97-94 = A
93-90 = 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
Final grades will be determined by the following weighting:
Item | % of Grade |
Discussions | 28% |
Weekly Graded Assignments | 40% |
Course Project | 32% |
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.