Laboratoy course for 21:750:109

A nonmathematical presentation of contemporary views of the origin, evolution, and structure of the solar system, stars, galaxies, and the universe. Special topics include neutron stars, black holes, gravitationally strange objects, and the Big Bang.Recommended for nonscience majors.

COURSE FEE $20

A nonmathematical presentation of contemporary views of the origin, evolution, and structure of the solar system, stars, galaxies, and the universe. Special topics include neutron stars, black holes, gravitationally strange objects, and the Big Bang.Recommended for nonscience majors.

Major economic, social, and political developments in Newark from 1830 to the present; focus on late 19th- and 20th-century trends in demography, housing, and community development.

This course introduces students to the diversity of Arabic literature in English translation. Depending on the semester, the course may have a modern or premodern focus and/or an emphasis on poetry, fiction, memoir or theatre. The course highlights formal aspects of Arabic literature while showcasing how writers and poets from the area defined as the Arab world, the Arab diaspora or who otherwise identify as Arab have represented major contemporary historical and political issues in literary texts.

Introductory course that considers film as its own intellectual and cultural ¿art¿. Course is divided into two primary units that each focus on paramount components of film analysis: (1) the formal elements of film composition and their implications for the viewing experience, like editing, sound, mise-en-scène, and cinematography and (2) film genres, their poetics, and their various representations of race, gender, and sexuality. Course will cover topics such as: the social role of horror, serial killers (real and fictional), science fiction aliens, fairy tale myths, gender fluidity, racialized masculinity, state apartheids, and the prison industrial complex.

Software systems are built to perform a variety of tasks. This course covers the fundamentals of software systems, functional requirements analysis, design, development, testing, integration, implementation, operation and maintenance. Students, through course projects, will practice the systems analysis, design and development process. Writing intensive.
Prerequisites: 21:198:280, 21:198:288, and senior standing.

Data is an asset only if it is of high quality and usable, otherwise it is a liability. This course introduces data mining, machine learning, deep learning, data analytics and data visualization combining statistical theories with real-world computer-based applications. Students, through hands on practice by running and creating machine learning projects, will gain understanding of the fundamentals of machine learning, deep learning, artificial intelligence and their real-world applications.

Prerequisite: 21:198:102 or 21:219:220.

Topics vary each semester. Consult department for current information.

Cross-listed with 21:920:393:H5.

Please contact undergraduate dean for additional information.