This course covers the implementation of compilers – programs that transform source programs written in a higher-level language into executable formats.

Deals with the theory and implementation of the software that governs the management of system resources.

DNA is the blueprint of life. Although it’s composed of only four nucleotide “letters” (A, C. T, G), the order and arrangement of these letters in a genome gives rise to the diversity of life on earth.

An introduction to Artificial Intelligence as a discipline of Computer Science, covering the traditional foundations of the field and a selection of recent advances. Traditional topics include: search, two-player adversarial games, constraint satisfaction, knowledge representation and reasoning, and planning. Additional topics will vary from year to year and will be selected from the following: reasoning about time, probabilistic reasoning, neural networks, philosophical foundations, multiagent systems, robotics, and recent advances in planning. Significant programming assignments and a course project complement the material presented in class.

Addresses the fundamental question at the intersection of human languages and computer science: how can computers acquire, comprehend and produce natural languages such as English? Introduces computational methods for modeling human language, including morphology, syntax, semantics and discourse; corpus-based and statistical methods for language analysis; and natural language applications such as information extraction and retrieval, summarization, and machine translation. Students gain experience with sophisticated systems for linguistic analysis and machine learning.

Computer networks, in the form of the Internet, have revolutionized society in the last 3 decades. This course provides an introduction to the design and operation of the Internet and computer networks in general. Topics include layered communication protocols, routing, transport, naming, security and mobility. Knowledge is consolidated through projects involving the creation of network applications.

An introduction to parallel computing, with coverage of parallel architectures, programming models, and techniques. Topics include SIMD and MIMD models, shared-memory and message-passing styles of computation, synchronization, deadlock, and parallel language design. Students are exposed to common techniques for solving problems in sorting, searching, numerical methods, and graph theory, and gain practical experience through programming assignments run on a parallel processing system.

A survey of computational and mathematical techniques for modeling and rendering realistic images of three-dimensional scenes. Topics include: event-driven user interfaces; geometric transformations and projections; scene graphs; implicit and parametric surfaces; models of color and light; surface shading and texturing; local and global rendering algorithms; and an introduction to computer animation.

In the first part of this course, we focus on robot architectures and the integration of mechanism, electronics, sensors, actuators, and computer control to achieve a functional robot. The course introduces the basic concepts of robotics, focusing on the construction and programming of autonomous or teleoperated robots. The second part focuses on Human-Robot Interaction (HRI), envisioning a future where robots integrate into our daily routines. From hospitals and offices to shops and homes, even within factories, robots play an increasingly prominent role in our lives. HRI is concerned with the problem of making this interaction intuitive, natural and effective. It is a multidisciplinary field and includes elements of engineering, computer science, robotics, psychology, sociology, and design. This course explores the way in which these disciplines contribute to the field of robotics and it gives the foundation needed to develop robot systems capable of effective human interaction. Through a blend of lectures, readings, and interactive in-class discussions, students gain a comprehensive understanding of this dynamic field.