Course Catalog

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Course Catalog

SHAKESPEARE IN CONTEXT (DR3038)

Considers a selection of Shakespeare's plays in the context of the dramatist's explorations of the possibilities of theatricality. Examines how theater is represented in his work and how his work lends itself to production in theater and film today. Students view video versions, visit Paris theaters, and travel to London and Stratford-on-Avon to see the Royal Shakespeare Company in performance.

APPLIED STATISTICS I (DS1020)

Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.

DATA SCIENCE I: METHODS AND CONTEXT (DS1060)

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.

TOPICS: IN DATA SCIENCE (DS1091)

Topics vary by semester

APPLIED STATISTICS II (DS2020)

Familiarizes students with several types of multivariate statistics methods with respect primarily to applications and interpretations in the area of social sciences. This course will cover the data-analysis concepts and procedures used in applied and experimental psychology, economics, business and in general in social sciences. Emphasis will be given to the qualitative interpretation and manipulation of mathematical and statistical concepts, showing the students their effectiveness through concrete applications. Students will use appropriate software packages for labs and projects.

SECURITY, PRIVACY, & TRUST (DS2055)

The course provides an understanding on the need for security, privacy and trust in ICT. Legal and ethical aspects will be covered. Technology for security, privacy and trust will be presented at a functional level. The following topics will be covered: security threats and solutions, intellectual property rights, anonymity and identity, business stakeholders privacy obligations, privacy in today applications (search engine, social networks, location oriented services, RFId-based applications), privacy enhancing technologies, privacy policy enforcement, trusted computing.

DATA SCIENCE II: THEORY AND PRACTICE (DS2065)

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.

PLANETARY AND ENVIRONMENTAL DATA SCIENCE (DS3010)

We will explore how to understand environmental systems from data science angles. The course encourages students to think critically and reason quantitatively about an environmental problem rather than just focusing on getting a specific answer. This course will have hands-on practical work with real data, R or Python, and statistical or machine learning software packages.