Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
One of the biggest challenges in medicine is to prevent disease and ensure personalized treatment. This is now becoming possible thanks to high-resolution DNA sequencing technology that can decipher our individual information. These developments are already impacting global health, but they raise global challenges such as equality. How will these new technologies blend into healthcare systems? What regulations are needed to ensure that personalized medicine reaches all layers of society? How do we prevent discrimination based on our genes? Through an inquiry-based approach we will examine the science, economics, and politics behind medicine and evaluate the ethical issues that arise in this fast-developing field.
Core: Colloquium (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
This course introduces students to various techniques and concepts that are essential for data scientists. It also provides an in-depth survey of the latest research methodology and topics that prepare the students to produce high quality research in Data Science. This seminar-based course will cover applications from different fields, such as sociology, psychology, network analysis, and artificial intelligence. In this context, the course will cover the use of computational techniques to model and predict various phenomena using real data. Students will be required to complete a course project, and to write up the results in a short article.
Computer Science (Undergraduate)
4 credits – 15 Weeks