Semester.ly

Johns Hopkins University | EN.580.420

Immunomodulatory Biomaterials: Design, Synthesis, and Applications

3.0

credits

Average Course Rating

(4.48)

The objective of this course is to teach students the chemistry, immunology, and materials engineering fundamentals necessary to develop novel materials that modulate immune responses for the treatment and prevention of diseases. This course will present many of the small molecule and polymer chemistry strategies used to synthesize state-of-the-art biomaterials. The concepts of spatio-temporal delivery of therapeutics, biomaterials degradation, biocompatibility, and various structure-function relationships between biomaterials and the immune system will be introduced. The role played by adaptive and innate immunity in the development and persistence of cancer, infectious diseases, and autoimmunity will be explored. Emphasis will be placed on the design elements that have been, and could be, engineered into immunomodulatory materials to improve human health outcomes. Recommended background: Organic Chemistry I

Fall 2013

(4.17)

Spring 2013

(4.67)

Spring 2014

(4.75)

Spring 2015

(4.33)

Fall 2013

Professor: Joel Bader, Jef Boeke, Karen Zeller

(4.17)

Students found that the best aspects of this course were the lectures that were given by professors who are experts in their fields. Students found the variety of BME topics extremely interesting, and they thought that they were exposed to a lot of materials over the semester. Students found the work extremely difficult, and felt that many of the lecturers were fast-paced and difficult to follow. The homework often did not reflect what was taught in class, and grading seemed arbitrary. Students suggested including more homework assignments and shorter exams and quizzes to spread out the materials they were required to study for each assessment. They also wanted more review sections before the exams and wanted the homework materials to reflect the information from the lectures. Prospective students must be prepared for a work-intensive and chal enging course. The course is demanding but they will learn a lot.

Spring 2013

Professor: Joel Bader, Jef Boeke, Karen Zeller

(4.67)

The best aspects of this course included the hands-on experience, the workflows that were laid out in an organizational way, and the instructors, who were very approachable and eager to help. One student felt that the work was sometimes tedious and repetitive. Another student felt the grading system was unclear. Suggestions included providing reading material on some of the concepts discussed in class and giving students a clearer explanation of the grading system. Prospective students should know the class requires a good deal of time outside of class, but it’s a definite for those who would like experience with Wetlab.

Spring 2014

Professor: Joel Bader, Jef Boeke, Karen Zeller

(4.75)

37 The best aspects of this course were the hands-on experiences in the lab, working with the International Genome Project, and getting real-time feedback on the processes from the instructors. This course taught lab techniques along with information on cutting edge topics. The worst aspects of the course included the lab machinery which often broke or malfunctioned, and the lack of funding. Some suggestions to improve the course included giving more computational instruction and upgraded equipment. Prospective students should know that the course is what you make of it, and requires time outside of class to complete many of the experiments successfully. This course is highly recommended.

Spring 2015

Professor: Joel Bader, Karen Zel er

(4.33)

The best aspects of this course included the helpful TA’s, the interesting and diverse material presented, and the incorporation of neuroscience. Students felt that the course was disorganized due to the number of instructors giving lectures, and that memorization of information was required too often. Homework was tedious, time consuming and unrelated to course work. Suggestions for improvement included having fewer instructors, creating more continuity between lecture topics, and having only one professor write exams and homework. Prospective students should al ocate time to study and start assignments as early as possible. Attending lecture and TA sections is beneficial as well as having a strong understanding of MATLAB coding.