Activity-related interests across the US and sedentary-related interests across NYC were significantly associated with obesity prevalence. Learn more about Chunara's study. Semiha Ergan , an affiliate professor of the Computer Science and Engineering Department, is responsible for a project that performs data analysis on highly sensed buildings for understanding patterns in building performance.
The data deals with HVAC systems and energy use in such buildings to assist in building management strategies.
For students who are interested in learning game programming and taking part in game development and design. Computer graphics, human-computer interaction, artificial intelligence, and allied computational fields all play a role in this burgeoning industry. Art and engineering intersect to create innovative game environments that captivate players. Professor Julian Togelius specializes in artificial intelligence, and has programmed AI agents that play several existing video games. Learn more about Professor Julian Togelius's project.
The theoretical study of computer science allows us to better understand the capabilities and the limitations of exactly what problems computers can solve, and when they can solve those problems efficiently. New theory helps pave the way for algorithmic breakthroughs that engineers can build on to create new solutions and technology.
At NYU Tandon, the Algorithms and Foundations group is composed of researchers interested in applying mathematical and theoretical tools to a variety of disciplines in computer science, from machine learning, to computational science, to geometry, to computational biology, and beyond.
Christopher Musco and doctoral student Raphael A. Read the paper. The algorithms address problems where the goal is to determine the order in which to perform a sequence of tests, so as to minimize expected testing cost. Common Questions This is a sample question.
This course covers the benefits and shortfalls of each language and applies these traits to sample scenarios. Learners examine the history of each programming language, features shared between languages, and language semantics.
Students also learn about non-essential programming languages and their applications in various situations. Before beginning comparative programming languages, students must learn languages like Java, JavaScript, and Python. Another upper-division computer science course , this course examines the protocols, standards, and programming languages used to develop powerful web programming platforms.
Students then learn to create content through various languages and interact with databases and XML documents. Because web programming relies heavily on practice over theory, students typically gain real-world experience in web programming. At the undergraduate level, data mining and machine learning introduces the core concepts behind big data, algorithms, and the creation of actionable insights from data. Learners examine concepts like k-means clustering and clustering algorithms.
Toward the end of the course, students use what they learned and apply the fundamental concepts to real-world examples using live algorithms to visualize data. Learners also use pseudocode to create their own programs. Data mining and machine learning courses provide an excellent foundation for students interested in master's degrees.
Taken after students complete an introductory Java concepts course, advanced Java concepts courses introduce topics like event handling, file input and output, and database connectivity. Students also learn about multi-threaded applications and programs, user events, and event handling.
While not always offered as an upper-division course, advanced Java concepts builds off previous associate degree concepts. Before enrolling in this course, students must understand the Windows operating system, graphical user interface design concepts, and Java programming fundamentals. After completing a bachelor's degree in computer science, learners can pursue a master's or Ph.
Individuals may complete both options, but many programs recommend that applicants select one or the other. Both master's and Ph. A master's in computer science requires roughly 45 credits to complete. Full-time students can often graduate in 1. The specific subject matter of a master's in computer science depends on the specialization students choose. Most students complete master's degrees in computer science to advance their current careers, so individuals should select specializations that best suit their career goals.
Typically required as a foundational course and taken before specialization courses, analysis of algorithms introduces the design and analysis of algorithms. Students learn about various classical algorithms and their complexities. Students learn how to use intellectual tools to design, implement, analyze, and evaluate their own algorithms. By the end of the course, learners can explain basic algorithmic design and analysis concepts and processes.
As a prerequisite course for many master's in data science programs, computability and formal languages takes place during an undergraduate degree or early on during a graduate degree. The course covers the theoretical side of computational models and analysis, teaching students to identify the benefits and limitations of various models. Early on in the course, learners discover unsolvable problems in computational models, then apply theories to investigate the effectiveness of different models in these situations.
Later, students examine more complex theories, including pushdown automata, finite automata, and Turing machines.
Offered as a required course for software specializations, compiler construction introduces the foundational techniques of compiling. Learners study topics like compiler construction tools, advanced theories, and the translation of programming languages into executables codes. Toward the end of the course, students learn about more complex topics, including dynamic memory allocation, recurring, object orientation, and concurrency.
Required in some intelligence specializations, artificial intelligence programming builds off of concepts covered in introductory machine learning courses.
Students learn about knowledge-based interfaces and systems, particularly extensible systems and maintenance. Topics include frame, pattern matching, semantic networks, and deductive inference. Most programs teach this course through hands-on projects, meaning students must complete several written programming assignments. By the end of the course, students can design and implement intelligent components for various industries through maintainable code.
Offered to students specializing in gaming, advanced computer game design teaches practices for programming computer games. This course usually focuses on 2D and 3D gaming creation, including the rendering of sprites and animations. Students also create artificial intelligence for computer games; program other gaming functions; and test, analyze, and adjust individual functions.
This course emphasizes individual gaming developments and requires hands-on learning. Some programs require students to work in groups to reflect real-world computer game design teams.
Students must complete prerequisite data structures and machine learning courses before taking advanced computer game design. The highest level of education available to computer science students, a Ph. Students might prefer to complete a Ph. This category has some of the best topics that will capture the attention of your educator and compel them to award you the top grade. These are great research topics in computer science that will earn you the top grade if you research extensively and write your paper well.
Nevertheless, pick a topic in this category if you find it interesting. In that case, choose one of these interesting computer science research papers topics. If looking for interesting computer science topics from which you can get ideas for your thesis title, consider this category. You can also get a great topic for your speech in this category. Nevertheless, choose a topic that you will be happy to research and write about.
If pursuing an undergraduate program in computer science, you need a topic for your research project. The topic that you choose should help you accomplish your study goals. Here are some of the best undergraduate topics in computer science. These are great computer science research paper topics for undergraduate students who chose computer science as major.
But, each of these computer science essay topics requires extensive research and careful analysis of information. Therefore, be ready to spend some hours working if you choose any of these computer science topics for research. Maybe you need a topic that will elicit mixed reactions from the audience. In that case, choose what to write about from these computer science controversial topics. These may be controversial research paper topics in computer science but they are interesting to research, write and read about.
The most important thing is to take the time to research and analyze information before you write a paper or essay on any of these topics. Do you need a topic for your post-graduate dissertation? If yes, this category has the best computer science thesis topics that you can choose from. This list comprises hot topics in computer science. Please email him if you have any questions regarding getting involved in CSE undergraduate research.
All undergrads interested in computing research are welcome. Students who are members of underrepresented groups are especially encouraged to attend. The project involves development of a real-time bacteria tracking system. The bacteria we are investigating are special in that they are magnetic - a feature that allows their remote control through modest magnetic fields. Additional work is needed to develop and interface the real-time tracking system with an existing actively developed micro-robotics manipulation algorithm.
Any student with a background in image processing and computer vision and a strong work ethic with a willingness to learn new things will be strongly considered.
0コメント