M.S. Data Science - Electives

INFO 531: Data Warehousing and Analytics in the Cloud

Data Warehousing and Analytics In the Cloud will utilize concepts, frameworks, and best practices for designing a cloud-based data warehousing solution and explore how to use analytical tools to perform analysis on your data. In the first half of the course, I will provide an overview of the field of Cloud Computing, its main concepts, and students will get hands-on experience through projects which utilize cloud computing platforms.

INFO 578: Science Information and its Presentation

In today's digital society, people have access to a wide variety of information sources and scientific data. In this course, students will learn about the role of science and scientific data in society, and they will consider means for making science information findable and understandable for a wide variety of audiences. This course will provide students an interdisciplinary experience for considering science data and how that information gets shared across contexts.

INFO 556: Text Retrieval and Web Search

Most of the web data today consists of unstructured text. Of course, the fact that this data exists is irrelevant, unless it is made available such that users can quickly find information that is relevant for their needs. This course will cover the fundamental knowledge necessary to build such systems, such as web crawling, index construction and compression, boolean, vector-based, and probabilistic retrieval models, text classification and clustering, link analysis algorithms such as PageRank, and computational advertising.

INFO 570: Data Base Development and Management

This course covers theory, methods, and techniques widely used to design and develop a relational database system and students will develop a broad understanding of modern database management systems. Applications of fundamental database principles in a stand-alone database environment using MS Access and Windows are emphasized. Applications in an Internet environment will be discussed using MySQL in the Linux platform.

INFO 555: Applied Natural Language Processing

Most of web data today consists of unstructured text. This course will cover the fundamental knowledge necessary to organize such texts, search them a meaningful way, and extract relevant information from them.

INFO 521: Introduction to Machine Learning

Machine learning describes the development of algorithms, which can modify their internal parameters (i.e., "learn") to recognize patterns and make decisions based on example data. These examples can be provided by a human, or they can be gathered automatically as part of the learning algorithm itself.

INFO 514: Computational Social Science

This course will guide students through advanced applications of computational methods for social science research.  Students will be encouraged to consider social problems from across sectors, including health science, environmental policy, education, and business.

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