Course Description

This writing-intensive course introduces community development theory, history, and practice through an equity lens. We explore the roots of racial inequities and the role of urban planning in perpetuating inequities. Students assess case studies and learn how to support equitable development, including through housing, social capital, the arts, and local economies.

Course Description

It is undeniable that the world has become integrated through the globalization of social, political, cultural and economic activity. Cities worldwide have been markedly affected by globalization, but in turn have played a role in the process. By utilizing published material, films, slides and the internet, this course will compare the economic, social, political, historical and cultural differences between different global cities as they struggle to survive in the twenty-first century.

Course Description

A Geographic Information Systems (GIS) software is a powerful tool used in a variety of disciplines. Students will gain a foundation of GIS principles and applications using ArcGIS software. Topics covered include data development and management, spatial analysis techniques, and visual communication of data through hands-on interaction with GIS applications.

Course Description

An introduction to machine learning and artificial intelligence for data analysis. Covers functional frameworks behind neural networks and advanced techniques for classification, regression, and clustering. Involves hands-on applications with Python, utilizing industry-standard systems such as Scikit-Learn, Tensorflow, and Keras.

Work sample on GitHub: Crash Analysis Project

Course Description

In this course, students learn to develop computer programs using a modern object-oriented language such as Java, Python, or C#. Topics covered include user-defined classes, inheritance, polymorphism, data structures such as linked lists, stacks, queues, and trees, sorting and searching algorithms, recursion, event-driven programming and exceptions.

Work samples on GitHub: Game Feature Implementation | Web API Endpoint

Course Description

This course introduces fundamental issues in information and cybersecurity, with an emphasis on vulnerabilities available to cyber attackers. Students develop conceptual tools for identifying vulnerabilities, assessing threats, analyzing risk, and selecting controls to mitigate risk, and practical skills in implementing security, responding to incidents, and designing systems that prevent cyberattacks.

Course Description

Econometrics is a subset of economics, applying statistics and mathematical techniques to “justify” a theoretical economic model with empirical rigor. This course introduces multiple regression methods for analyzing data in economics and related disciplines, exercised through hands-on applications in R. Students also engage critically with published literature to assess practical implementations of statistical theory.

Course Description

This course builds upon the student’s foundational knowledge of business research and analytics. Students practice a disciplined approach to assessing real-world business problems and applying descriptive, predictive, and prescriptive techniques to solve them. Course activities include discussion forums, case studies, experiential projects, and constructive assessment.

Course Description

This course is a study of database management systems and their applications to a wide range of information processing needs. Students design and implement database management systems while being introduced to a conceptual model of a database environment comprised of five basic components: databases, database management systems, data dictionary/directory systems, database administration, and user-system interfaces.

Course Description

In this course students learn about data science methods from a non-technical perspective and discuss cases that highlight ethical issues related to data science models, including inherent biases learned from training data, discrimination through proxy variables, lack of transparency, and issues related to privacy and data ownership

Course Description

This course will explore sustainability with a focus on the urban built environment. We will investigate both American and international issues of landownership, neighborhood development, housing, public spaces, and building technology. The course will incorporate lectures, readings, site visits, case studies, and a project using Pittsburgh as an investigatory vehicle.