Course Catalog

INTERNSHIP EXTENSION (CS3980)

All internship extensions are related to a previous internship registration, please contact the internship office for more information.

TOPICS IN COMPUTER SCIENCE (CS4091)

Courses on different topics in the discipline, enriching the present course offerings. These classes are taught by permanent or visiting faculty. Topics vary each semester.

SENIOR PROJECT (CS4095)

A Senior Project is an independent study representing a Major Capstone Project that needs to be registered using the Senior Project registration form.
(Download: https://fd10.formdesk.com/aup/SeniorProjectApplication)

CAPSTONE INTERNSHIP (CS4098)

An Internship can replace one elective from the ICT curriculum. It may be done in France or elsewhere. Internships may be taken for 1 or 4 credits. Students may do more than one internship, but internship credit cannot cumulatively total more than 4 credits.

TOPICS IN COMPUTER SCIENCE (CS4910)

TOPICS VARY BY SEMESTER

CAPSTONE EXTENSION (CS4980)

All internship extensions are related to a previous internship registration, please contact the internship office for more information.

HUMAN RIGHTS AND DIGITAL TECHNOLOGIES (CS5039)

This course joins two seemingly disparate disciplines – law and science – in an attempt to understand more fully the dense, multidimensional nature of the digital revolution and how we are going to live with it. Human Rights and Digital Technology is designed as an interdisciplinary primer, a guide to examining the critical issues that shape our use of digital technology.

DATA SCIENCE I: METHODS AND CONTEXT (CS5060)

This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

DATA INDUSTRY PRACTICUM (CS5063)

This multi-workshop style course provides students with the possibility to exchange with internationally renowned industry and academic experts. Students will learn how data science is applied in industry, international organizations and research institutions. They will be exposed to various career paths and become acquainted with the requirements, future developments, challenges and opportunities within different organizations and application area.

DATA SCIENCE II: THEORY AND PRACTICE (CS5065)

The 21st century has seen a big increase in the amount of data which is made accessible. Social media such as Facebook, online shops such as Amazon and many others, are all gathering raw data. But what can be done about this data? Data Science covers tools and methods around the extraction of knowledge from data. Such tools cover its collection, storing, processing and analysis. In this course we will learn about several of the most important tools in the above flow and will apply them to real-world examples.