I ask because when I click the computer's icon, the browser tries to connect to a URL at LogMeIn (it looks like "computername-randomstring.lmi-app14-20.logmein.com"), but the connection never completes - at least within the 15-20 minutes I've left it running. Based on the "online" hours and minutes, the computer rebooted sometime this morning. I was able to connect successfully before the reboot happened. I'm wondering if the LogMeIn host software restarted properly.
@AshCIt turned out the computer had not rebooted after all. The LogMeIn host software had halted. The person who went to the site restarted the host software and I was able to open remote connections again.
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This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.
Hi, I am unlinking some devices and the default tick box comes up with the following ticked "Delete files from my personal Dropbox the next time this computer comes online" does this mean that if I re-link a device all my files will be deleted? OMG!
It means that the next time that computer is online it will remove the files from that computer's Dropbox folder. Your files will remain safe in your account and any other computer that is still linked. It is a method for remotely wiping a computer that has been lost or stolen.
The Online MCS program is a non-thesis (coursework-only) degree that requires 32 credit hours of graduate coursework, completed through eight graduate-level courses each at the four credit hour level. The MCS requires that four of these eight courses are chosen from unique "core" areas of computer science, and that three of these eight courses must be at the advanced graduate level (500-level). The Online MCS currently offers coursework in the core areas of artificial intelligence, databases, human-computer interaction, software engineering, scientific computing and high-performance computing.
The Department of Computer Science does not offer research or teaching assistantships to students enrolled in our online programs, including the Online MCS. The Online MCS program is accredited by the Higher Learning Commission and enrolled students are eligible for financial assistance. See the Office of Student Financial Aid for further information.
This program combines the study of computer science with a liberal arts education. It prepares students for employment as computing professionals while offering significant freedom to choose coursework in other areas. The major is especially popular with students who want the technical education in computer science with the flexibility to take other non-technical courses, sometimes in the form of a minor or certificate.
Computer science majors in CLAS take a solid foundation of core computer science courses while fulfilling requirements for a liberal arts education, including courses from the humanities, social and behavioral sciences, and the study of a foreign language. Questions about the major should be directed to a department advisor.
The computer science combination-degree program is a joint program between the colleges of Engineering and Liberal Arts and Sciences and is coordinated by the Department of Computer and Information Science and Engineering.
The College of Liberal Arts and Sciences' Computer Science program exposes students to a broad range of disciplines, including programming languages, theory of computer science, physical science, mathematics, and software engineering. Students will graduate with the ability to apply knowledge of science and mathematics to computer science problems, to design computer systems or components to satisfy users' needs, and to communicate technical information regarding computer systems to other computer scientists. This program emphasizes the broader aspects of computer science and is less technical in depth than the computer science program in the Herbert Wertheim College of Engineering.
Our elective courses focus on content that is in high demand within the tech industry, including advanced operating systems, programming languages, online learning, optimization and machine learning. A variety of electives allow you to personalize your education.
This class covers advanced topics in deep learning, ranging from optimization to computer vision, computer graphics and unsupervised feature learning, and touches on deep language models, as well as deep learning for games.
Part 2 covers a series of application areas of deep networks in: computer vision, sequence modeling in natural language processing, deep reinforcement learning, generative modeling, and adversarial learning. In the homework assignments, we develop a vision system and racing agent for a racing simulator, SuperTuxKart, from scratch.
Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others. This class introduces the fundamental mathematical models, algorithms, and statistical tools needed to perform core tasks in machine learning. Applications of these ideas are illustrated using programming examples on various data sets.
Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra for Computing, you build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and analyzing the effects on correctness of floating-point arithmetic as performed by computers.
Topics include growth of functions, divide-and-conquer algorithms, dynamic programming, greedy algorithms, basic graph algorithms, network flow, minimum-cost matching, linear program-ming, randomized algorithms, data structures (hashing, amortized analysis, splay trees, union-find, and Fibonacci heaps), online algorithms for paging, P, NP, NP-completeness, and approximation algorithms.
This is a course on computational logic and its applications in computer science, particularly in the context of software verification. Computational logic is a fundamental part of many areas of computer science, including artificial intelligence and programming languages. This class introduces the fundamentals of computational logic and investigates its many applications in computer science. Specifically, the course covers a variety of widely used logical theories and looks at algorithms for determining satisfiability in these logics as well as their applications.
This class has two major themes: algorithms for convex optimization and algorithms for online learning. The first part of the course will focus on algorithms for large scale convex optimization. A particular focus of this development will be for problems in Machine Learning, and this will be emphasized in the lectures, as well as in the problem sets. The second half of the course will then turn to applications of these ideas to online learning.
This course explores parallel systems, from languages to hardware, from large-scale parallel computers to multicore chips, and from traditional parallel scientific computing to modern uses of parallelism. Includes discussion of and research methods in graphics, languages, compilers, architecture, and scientific computing.
The Master of Engineering program features innovative coursework that will enable you to gain advanced skills in artificial intelligence, computer architecture, cybersecurity, machine learning and more. Unlike the Master of Science program, the M.Eng. requires you to take only courses to earn a degree.
Our Mission Statement: The MiraCosta Online and Onsite Open Computer Labs provides a free and individualized resource to MiraCosta students and community patrons with course related or general computer questions providing a friendly, inviting environment either in our Online or Onsite environment.
The online MS in Computer Science degree dives deep into the technical knowledge you need to create advanced solutions for complex problems. You graduate qualified to step into high-paying positions with faster-than-average growth rates such as:
In January 2014, the Georgia Institute of Technology, Udacity, and AT&T teamed up to launch the first accredited Master of Science in Computer Science from an accredited university that students can earn exclusively through the "massive online" format and for a fraction of the cost of traditional, residential programs.
NC-SARA is a voluntary, regional approach to state oversight of postsecondary distance education. The State Authorization Reciprocity Agreement (SARA) is an agreement among member states, districts, and territories that establish comparable national standards for interstate offering of postsecondary distance education courses and programs. It is intended to make it easier for students to take online courses offered by postsecondary institutions based in another state. SARA is overseen by a National Council and administered by four regional education compacts.
Are you ready to earn your master's in computer science but not ready to stop working? Do you want a top-ranked degree without the top-ranked price tag? If so, Georgia Tech has the answer. We have teamed up with Udacity and AT&T to offer the first online Master of Science in Computer Science from an accredited university that students can earn exclusively through the "massive online" format and for a fraction of the normal cost. 0852c4b9a8
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