Credits: 4
Duration: 14 Weeks
Dates: Mon
Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed
Machine learning is an exciting and fast-moving field of computer science with many recent consumer applications (e.g., Microsoft Kinect, Google Translate, Iphone’s Siri, digital camera face detection, Netflix recommendations, Google news) and applications within the sciences and medicine (e.g., predicting protein-protein interactions, species modeling, detecting tumors, personalized medicine). This course introduces undergraduate computer science students to the field of machine learning. Students learn about the theoretical foundations of machine learning and how to apply machine learning to solve new problems. Assuming no prior knowledge in machine learning, the course focuses on two major paradigms in machine learning which are supervised and unsupervised learning. In supervised learning, we learn various methods for classification and regression. Dimensionality reduction and clustering are discussed in the case of unsupervised learning
Computer Science (Undergraduate)
4 credits – 14 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
This course introduces students to various techniques and concepts that are essential for data scientists. It also provides an in-depth survey of the latest research methodology and topics that prepare the students to produce high quality research in Data Science. This seminar-based course will cover applications from different fields, such as sociology, psychology, network analysis, and artificial intelligence. In this context, the course will cover the use of computational techniques to model and predict various phenomena using real data. Students will be required to complete a course project, and to write up the results in a short article.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
The course focuses on understanding lower-level issues in computer design and programming. The course starts with the C programming language, moves down to assembly and machine-level code, and concludes with basic operating systems and architectural concepts. Students learn to read assembly code and reverse-engineer programs in binary. Topics in this course include the C programming language, data representation, machine-level code, memory organization and management, performance evaluation and optimization, and concurrency.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Discrete mathematics concerns the study of mathematical structures that are discrete rather than continuous, and provides a powerful language for investigating many areas of computer science. Discrete structures are characterized by distinct elements, which are often represented by integers. Continuous mathematics on the other hand deals with real numbers. Topics in this course include: sets, counting techniques, logic, proof techniques, solving recurrence relations, number theory, probability, statistics, graph theory, and discrete geometry. These mathematical tools are illustrated with applications in computer science.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Have you ever wondered how the internet or Facebook is able to support a billion simultaneous users? This course teaches students the design and implementation of such Internet-scale networks and networked systems. Students learn about the principles and techniques used to construct large-scale networks and systems. Topics in this course include routing protocols, network congestion control, wireless networking, network security, and peer-to-peer systems. Upon completing this course, students are able to initiate and critique research ideas, implement their own working systems, and evaluate such systems. To make the issues more concrete, the class includes several multi-week projects requiring significant design and implementation. The goal is for students to learn not only what computer networks are and how they work today, but also why they are designed the way they are and how they are likely to evolve in the future. Examples are drawn primarily from the internet.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
The capstone experience in Computer Science requires students to engage in a long-term, mentored learning experience that culminates in a piece of original work. The specific project is developed during the Research Seminar in Computer Science. During the Capstone Project, the proposed work comes to fruition in the form of a research paper along the lines of those in a scholarly computer science journal. Students also participate in a capstone research symposium during which they present their work orally.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Credits: 4
Duration: 15 Weeks
Dates:
Continuation of CS-UH 4001
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Computer Science is an innovative and exciting field that focuses on producing efficient solutions for solving problems in any field. This course introduces students to the foundations of computer science. Students learn how to design algorithms to solve problems and how to translate these algorithms into working computer programs using a high-level programming language. The course covers core programming concepts including basic computation, data structures, decision structures, iterative structures, file input/output, and recursion. Students also learn the elements of Object Oriented Programming (OOP), such as objects, classes, inheritance, abstraction, and polymorphism. A final project allows students to combine these concepts to produce a large program of their design.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Credits: 4
Duration: 14 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 14 Weeks
Dates: Tue,Thu,Thu
There are many cognitive tasks that people can do easily and almost unconsciously but that have proven extremely difficult to program on a computer. Artificial intelligence is the problem of developing computer systems that can carry out these tasks. We will focus on three central areas in AI: representation and reasoning, machine learning, and natural language processing.
Computer Science (Undergraduate)
4 credits – 14 Weeks
Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu
Students or several students work with a faculty member and/or graduate students on a current topic in computer science. Each term, a project course with a particular theme is offered by the Department of Computer and Information Science. A faculty member assigns individual or group projects. The project course is highly structured and supervised closely by faculty. Students are expected to use the design and project-management skills they learned in CS-UY 4513 Software Engineering. Alternatively, students may work with a faculty member on an individual project of mutual interest. A written report and oral presentation are required. | Prerequisite: CS-UY 4513 or CS-UY 3513.
Computer Science (Undergraduate)
3 credits – 15 Weeks
Credits: 3
Duration: 15 Weeks
Dates: Mon
The course will start off with an in-depth review of the exploitation mitigations introduced in modern operating systems. The instructors will demonstrate their limitations through simple examples and gradually develop the basic exploitation techniques into more complicated methods applicable to real-world exploitation. Unlike most other exploitation courses, we will focus on approaching exploitation as a creative problem-solving process rather than an exercise of applying cookbook techniques to common types of vulnerabilities. Most of the course will focus on the hands-on application of the material through exercises and leading the students through the development of reliable exploits for recently patched vulnerabilities in widely used software. | Prerequisites for Brooklyn Engineering Students: CS-UY 3933 and (CS-UY 2134 or CS-UY 1134) and (CS-UY 2124 or CS-UY 1124) (C- or better). | Prerequisites for CAS Students: CS-UY 3933 and CSCI-UA 201. | Prerequisites for Abu Dhabi Students: CS-UY 3933 and CS-AD 103
Computer Science (Undergraduate)
3 credits – 15 Weeks
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
This course introduces problem solving and computer programming and is for undergraduate engineering students who do not have prior experience in programming in any language. The course covers fundamentals of computer programming and its underlying principles using the Python programming language. Concepts and methods introduced in the course are illustrated by examples from engineering and other disciplines. | Co-requisite: EX-UY 1; Anti-requisite: CS-UY 1114
Computer Science (Undergraduate)
3 credits – 15 Weeks