Courses

Develops a proposal for the thesis or scholarly project, including an overview of the topic, a literature review, and proposed methods. Successful completion requires approval of the thesis or scholarly project proposal by student’s thesis committee comprising three full-time faculty: the faculty advisor, the UHP director, and another faculty member with related expertise. Grading is satisfactory/unsatisfactory.

This course will introduce students to Ukraine’s history from the origins of Kyivan Rus in the Middle Ages to the present and will invite them to explore various facets of Ukrainian culture (including politics, language, literature, folklore, religion, music, art, cinema, and education, among others) in order to better understand Russia’s 2022 full-scale invasion, Ukraine’s resistance, and the impact of this ongoing war on the architecture of global security. Humanities, PW: Global Engagement

This course introduces students to Ukrainian culture through the exploration of original literary sources from the times of medieval Kyivan Rus (9th–13th c.) to the present (21st c.). By reading chronicles, epics, folktales, poetry, drama, and modern prose, students will trace the evolution of Ukraine’s cultural identity, traditions, and politics across centuries of foreign domination, national revival, and the country’s current struggle for survival.

Mathematical analysis of wave propagation, scattering of ultrasound in biological tissues, electronic transducer arrays for the beam forming, models of the received signals and signal processing methods for medical ultrasound imaging of tissues; includes discussions of research related to fundamental ultrasound imaging concepts.

Models and methods for exploration of data based on probability and statistics; random variables, expectation, data collection, distribution fitting, goodness of fit tests, point estimates and interval estimates and central limit theorem.

Models and methods based on probability and statistics for industrial engineering applications; random variables, expectation, distribution fitting, reliability of systems, central limit theorem and interval estimates in the context of production and service systems.

Data security; cryptography; key exchange; conditional security; unconditional (information-theoretic) security; quantum key distribution; the Kirchhoff-law-Johnson-noise (KLJN) key exchange, electronic noise; advanced issues of KLJN; schemes, protocols, attacks, defense, privacy amplification, credit cards, PUF, autonomous vehicles and smart grids.

Data security; cryptography; key exchange; conditional security; unconditional (information-theoretic) security; quantum key distribution; the Kirchhoff-law-Johnson-noise (KLJN) key exchange, electronic noise; advanced issues of KLJN; schemes, protocols, attacks, defense, privacy amplification, credit cards, PUF, autonomous vehicles and smart grids.

Unconventional reservoirs and the latest practices of reservoir characterization, horizontal drilling and completion optimization methodologies, reservoir engineering and production.

This course will focus on a range of threats (some of which exist and some security in significant ways. These threats will be addressed within the framework action, technology, and the environment. Topics to be addressed will include: based threats); 2. cyber threats, engineered biological threats, nuclear warfare, limitations on access to natural resources, climate change, novel diseases, and