Civil & Urban Engineering (Undergraduate)
3 credits – 15 Weeks
Offered in the fall semester only. A chronological survey of the art and commerce of the animated film internationally over the last 100 years. Designed to expand students’ awareness of the origins of a significant 20th-century art form and to acquaint them with a wide variety of practical techniques and styles, from pre-film influences to computer-generated images; from “Golden Age” studio cartoon factories to today’s independent avant-garde animator-filmmakers. Designed to expand student aesthetic sensibilities and sharpen critical perceptions about this unique genre. This course allocates as History & Criticism for Film & TV majors. COURSE SUBJECT TO DEPARTMENTAL FEES. Non-majors must process a “Permission Notice for Non-Majors” form to register for the course (subject to availability).
This course introduces the essentials of web design and production, emphasizing the integration of AI tools like ChatGPT to enhance learning and creativity. Students will build a solid foundation in HTML and CSS, learn to optimize graphics, design layouts, and develop the technical skills needed to launch their own websites. The class explores using social media platforms like YouTube, Vimeo, and Instagram as promotional tools while incorporating AI to brainstorm design concepts, troubleshoot code, and refine messaging. We focus on the Internet as a promotion and distribution medium for the independent artist and filmmaker. A consistent and integrated communication strategy across digital channels is emphasized to prepare students for the demands of modern media. To deepen their learning experience, students will actively use ChatGPT to support various aspects of the curriculum. This includes generating creative ideas, drafting content, and exploring coding solutions. AI will also assist in tasks like creating compelling website copy, optimizing branding strategies, and scripting social media posts. By weaving AI into their workflow, students not only master essential web design skills but also gain hands-on experience with tools shaping the future of digital media.
Studio Art (Undergraduate)
3 credits – 15 Weeks
A studio course that combines theory & artistic practice to examine the development of the arts from a critical perspective. The course will address a range of models from structuralism & semiotics to modern & postmodern paradigms. The class is designed for practicing artists, allowing students to gain the skills & confidence to express their artistic objectives in critical writing, art making, & verbal analysis. Each student is responsible for oral presentations, works of art generated through research, & written statements about their artistic objectives.
Studio Art (Undergraduate)
3 credits – 15 Weeks
Music Technology (Undergraduate)
3 credits – 15 Weeks
This course explores the art and craft of mixing records, with special attention to “mixing in the box” (via a digital audio workstation). Focus on methodology and technique, with particular emphasis on establishing balances, using such tools as compression and automation to enhance dynamics and develop unique coloration. Examines intersection of technology, budgets, and the marketplace. Students execute their own mixes, with guidance and critique from the instructor. Basic level of DAW proficiency required.
Music Technology (Undergraduate)
3 credits – 14 Weeks
MPATE-UE 1135-000 (13050)09/03/2024 – 12/12/2024 Thu12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Killen, Kevin
MPATE-UE 1135-000 (13051)09/03/2024 – 12/12/2024 Thu3:00 PM – 5:00 PM (Late afternoon)at Washington SquareInstructed by Killen, Kevin
Music Technology (Undergraduate)
3 credits – 15 Weeks
This is a multidisciplinary course in which students with previous experience with analog and digital electronics create a novel hardware–based electronic musical instrument, controller, effects unit, or other device related to their interests in music and audio. Student projects may be analog, digital, or a hybrid, and should be unique in some way from devices currently in the commercial marketplace. Students present their designs and functioning physical prototypes with the class as they evolve throughout the semester for feedback.
Music Technology (Undergraduate)
3 credits – 14 Weeks
MPATE-UE 1017-000 (10200)09/02/2025 – 12/11/2025 Fri11:00 AM – 1:00 PM (Morning)at Washington SquareInstructed by Litt, Steven
MPATE-UE 1017-000 (10201)09/02/2025 – 12/11/2025 Thu2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Litt, Steven
Music Technology (Undergraduate)
3 credits – 15 Weeks
Music Technology (Undergraduate)
3 credits – 15 Weeks
Music Technology (Undergraduate)
3 credits – 15 Weeks
This course is the follow-on course to Introduction to Programming and Data Science, which is offered in the Fall. It is recommended for undergraduate students who 1) are interested in jobs in the rapidly growing fields of data science and data analytics or 2) who are interested in acquiring the technical and data analysis skills that are becoming increasingly relevant in all disciplines. Intro to Programming and Data Science forms the basis for this course, but it is not a pre-requisite. Students with basic knowledge of programming in Python and SQL are welcome to join. This course covers select topics that build on the prior course work and is largely project based. Much of the course will be project-based work, with students working on projects that utilize the skills used in this and the prior Programming and Data Science course.
Computing and Data Science (Undergraduate)
3 credits – 15 Weeks
TECH-UB 24-000 (19343)at Washington SquareInstructed by
TECH-UB 24-000 (19344)at Washington SquareInstructed by
This course examines the major trends in digital marketing using tools from business analytics and data science. While there will be sufficient attention given to top level strategy used by companies adopting digital marketing, the focus of the course is also on business analytics: how to make firms more intelligent in how they conduct business in the digital age. Measurement plays a big role in this space. The course is complemented by cutting-edge projects and various business consulting assignments that the Professor has been involved in with various companies over the last few years. Prof Ghose has consulted in various capacities for Apple, AMD, Berkeley Corporation, Bank of Khartoum, CBS, Dataxu, Facebook, Intel, NBC Universal, Samsung, Showtime, 3TI China, and collaborated with Alibaba, China Mobile, Google, IBM, Indiegogo, Microsoft, Recobell, Travelocity and many other leading Fortune 500 firms on realizing business value from IT investments, internet marketing, business analytics, mobile marketing, digital analytics and other topics.We will learn about statistical issues in data analyses such as selection problem, omitted variables problem, endogeneity, and simultaneity problems, autocorrelation, multi-collinearity, assessing the predictive power of a regression and interpreting various numbers from the output of a statistical package, various econometrics-based tools such as simple and multivariate regressions, linear and non-linear probability models (Logit and Probit), estimating discrete and continuous dependent variables, count data models (Poisson and Negative Binomial), cross-sectional models vs. panel data models (Fixed Effects and Random Effects), and various experimental techniques that help can tease out correlation from causality such as randomized field experiments.
Computing and Data Science (Undergraduate)
3 credits – 15 Weeks
TECH-UB 38-000 (19338)01/23/2023 – 05/08/2023 Thu6:00 PM – 9:00 PM (Evening)at Washington SquareInstructed by
This course is recommended for undergraduate students without programming experience who are interested in building capabilities in the rapidly growing fields of data science and data analytics. This hands-on coding course does not have any prerequisites and is meant to help students acquire programming and data analysis skills that are becoming increasingly relevant for entrepreneurial, corporate, and research jobs. The course offers an introduction to programming (using Python) and databases (using SQL). We will cover topics related to collection, storage, organization, management, and analysis of data. There is a strong focus on live coding in the classroom, with discussion of examples.
Computing and Data Science (Undergraduate)
3 credits – 15 Weeks
TECH-UB 23-000 (19340)at Washington SquareInstructed by
TECH-UB 23-000 (19342)at Washington SquareInstructed by
TECH-UB 23-000 (19345)at Washington SquareInstructed by
Computer Science (Undergraduate)
3 credits – 15 Weeks
Computer Science (Undergraduate)
3 credits – 15 Weeks
Computer Science (Undergraduate)
3 credits – 15 Weeks
Introduction to Maxwell’s equations with applications to physical problems. Topics include electrostatics, magnetostatics, the solution of the Laplace and Poisson equations, dielectrics and magnetic materials, electromagnetic waves and radiation, Fresnel equations, transmission lines, wave guides, and special relativity.
Physics (Undergraduate)
3 credits – 15 Weeks
PHYS-UA 131-000 (8212)09/01/2022 – 12/14/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Gruzinov, Andrei
PHYS-UA 131-000 (8213)09/01/2022 – 12/14/2022 Mon3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
PHYS-UA 131-000 (9331)09/01/2022 – 12/14/2022 Wed5:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by
Designed to deepen the insights into quantum mechanics introduced in PHYS-UA 103, 104 and to provide an introduction to the more formal mathematical structure of quantum mechanics. The Schr?dinger and Heisenberg description of quantal systems; perturbation theory; spin and statistics; coupling of angular momenta; scattering theory; and applications to atomic, molecular, nuclear, and elementary particle physics.
Physics (Undergraduate)
3 credits – 15 Weeks
PHYS-UA 123-000 (8210)09/01/2022 – 12/14/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Grier, David
PHYS-UA 123-000 (8211)09/01/2022 – 12/14/2022 Tue3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
PHYS-UA 123-000 (9336)09/01/2022 – 12/14/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by