Research in medical informatics under the direction of a faculty adviser.
Current topics in the Earth sciences.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
This course will explore transnational feminist debates about gender-based violence and examine the critical concepts being developed within the scholarly literature to question this “common sense.” What are the elisions and exclusions in many common-sense understandings of these terms? Can we deepen the ways in which we engage with the manifestations and causes of such violence? We will proceed through close readings of the texts of the key feminist thinkers, researchers, and activists who are contributing to the critical analysis of the dynamics and history of this international agenda. We pay special attention to place-based research on the applicability and deployment of particular approaches to gender-based violence as found in human rights work, humanitarianism, philanthrocapitalism, and the proliferating organizations, governmental and nongovernmental, around the world that promote girls’ and women’s rights and freedom from violence. Case studies will focus mostly on the Middle East, South Asia, and Africa.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
Prerequisites: (BMEN E4001) and (BMEN E4002) and (APMA E4200) or equivalent.
Advanced computational modeling and quantitative analysis of selected physiological systems from molecules to organs. Selected systems are analyzed in depth with an emphasis on modeling methods and quantitative analysis. Topics may include cell signaling, molecular transport, excitable membranes, respiratory physiology, nerve transmission, circulatory control, auditory signal processing, muscle physiology, data collection and analysis.
Prerequisites: (BMEN E4001) and (BMEN E4002) and (APMA E4200) or equivalent.
Advanced computational modeling and quantitative analysis of selected physiological systems from molecules to organs. Selected systems are analyzed in depth with an emphasis on modeling methods and quantitative analysis. Topics may include cell signaling, molecular transport, excitable membranes, respiratory physiology, nerve transmission, circulatory control, auditory signal processing, muscle physiology, data collection and analysis.
Individual research in the student's field of specialization at the masters level. DEES PhD students register for this in the semester in which thay take their Masters Exam.
Topics include the physics of stellar structure, stellar atmospheres, radiation transport, nucleosynthesis, stellar evolution, star formation, pulsation, interacting binary stars, white dwarfs, and neutron stars.
In this course, you will learn the fundamentals of programming so you can start writing web applications that can potentially be used in non-profit or public sectors. The course will be very hands-on and you are expected to code during the class. The topics will include - fundamentals of computer science, programming basics, data structures, client-server architecture, javascript, application programming interface, LAMP stack and web frameworks, design tools, scalability issues and infrastructure for application deployment. We will discuss some of these topics in the context of agile development methodology for startups. If you are interested in building a startup as a social entrepreneur, the tools and methods you learn in this course should help you in coding the first prototype of your application. As part of the final project, you are expected to build a fully functional web application. No programming background is required. Students are expected to complete all the reading assignments before the first day of class.
The most extended piece of written work required of MA students during our program is the MA Essay, in which a student develops an extended argument over 25-30 pages. Although the English Department’s ADGS administers the MA Essay Program — a four-credit course that can be taken in either the Fall or Spring semesters — students work primarily with a faculty sponsor who has knowledge of the essay topic. The sponsor assigns the student’s grade for the MA Thesis Tutorial, though the final essay is also evaluated by a second reader. (A third reader is added if there is a substantial divergence between the evaluations given by the sponsor and second reader.)
Second semester of project-based design experience for graduate students. Elements of design process, with focus on skills development, prototype development and testing, and business planning. Real-world training in biomedical design, innovation, and entrepreneurship.
This course provides a structured setting for stand-alone M.A. students in their final year and Ph.D. students in their second and third years to develop their research trajectories in a way that complements normal coursework. The seminar meets approximately biweekly and focuses on topics such as research methodology; project design; literature review, including bibliographies and citation practices; grant writing. Required for MESAAS graduate students in their second and third year.
Prerequisites: INAF U6004 or INAF U6006
This course is meant for students who want to learn the basics of Artificial Intelligence (AI) and how AI is applied for public policy and implications of AI in the future of governance. Students can expect to learn: Foundations of AI. We will go through the mathematical and programming background of how the most common Machine Learning (ML) algorithms work, specifically focused around how to predict scores, classes, and clusters from data. Applications of AI. With the understanding of basics of ML algorithms we will look at how AI is being applied for various functions across businesses, non-profits and governments. Building AI Solutions At the end of the course we will spend time on how to build an AI solution that has a significant value from public policy perspective. We will go through an exercise of how to think of a problem from AI perspective, how to take account data and algorithm challenges when building AI solution. As student groups you will be asked to go through “Concept to Implementation” process and propose an AI solution for a given problem that student is keenly interested in.
Prerequisites: a strong undergraduate background in E-M and classical mechanics. Qualified undergraduates may be admitted with the instructor's permission.
The basic physics of high energy astrophysical phenomena. Protostars, equations of stellar structure; radiative transfer theory; stellar nucleosynthesis; radiative emission processes; equations of state and cooling theory for neutron stars and white dwarfs, Oppenheimer-Volkoff equation; Chandrasekhar limit; shocks and fluids; accretion theory for both disks and hard surfaces; black hole orbits and light bending.