The Civil and Environmental Engineering department has established research strengths in a number of areas to address the challenges of the 21st century, including: Sustainable, Intelligent Infrastructure Systems, Water and Air Quality Science and Engineering, Resilient Engineering Materials, and The LTI offers a dual-degree Ph.D. in Language and Information Technologies in cooperation with: Universidade de Aveiro (Ph.D. in Computer Engineering), Universidade do Minho (Ph.D. in Informatics) and the Universidade do Porto (FCUP, Ph.D. in Computer Science and FEUP, Ph.D. in Computer Science) as part of MAPi;Universidade de Lisboa, Faculdade de Ciências – FCUL (Ph.D. in Informatics) Kun Zhang is an associate professor in the CMU philosophy department and an affiliate faculty member in the machine learning department. His research interests lie in machine learning and artificial intelligence, especially in causal discovery and causality-based learning. He develops methods for
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Jump to navigation. The Ph. in LTI focuses on developing the next generation of scientific cmu phd thesis entrepreneurial leaders. The first two cmu phd thesis of the Ph. program are similar to our MLT program. After the second year, you will spend most of your time working closely with your faculty advisor on research that advances the state-of-the-art in computer science, cmu phd thesis.
students are expected to publish papers about original research in the most competitive scientific journals and international conference proceedings, and to present their research at conferences and workshops.
Most of our Ph. graduates become professors and research scientists, while a few have started their own companies. Students must also attend the LTI Colloquium each semester and satisfy our Research Speaking Requirement. For a detailed breakdown of the above requirements, download and read the PhD Handbook. In order to obtain your Ph.
in Language and Information Technologies, cmu phd thesis, you need to pass 96 units generally, eight courses of graduate courses that fulfill these requirements:. Carnegie Mellon's School of Computer Science has a centralized online application process. Applications and all supporting documentation for fall admission to any of the LTI's graduate programs must be received by the final application deadline TBA.
Incomplete applications will not be considered. The application period for Fall will open on September 7, Fee waivers may be available in cases of financial hardship. For more information, please refer to the School of Computer Science Fee Waiver page. For more details on these requirements, please see the SCS Doctoral Admissions page.
For a complete breakdown of the Ph. program and its policies, including information about internships, please view the PhD Handbook. For more information about the Ph. program, contact Stacey Young. Students jointly enrolled in the LTI Ph. D program spend a year in Portugal, then two years at Carnegie Mellon taking classes cmu phd thesis linguistics, cmu phd thesis, computer science, statistical learning and task orientation.
After completing the majority of their academic requirements, students return to Portugal for the next two years to conduct extensive research, ultimately leading to a dissertation topic that will be publicly defended.
Students participating in the dual-degree program will spend their first year in Portugal, followed by two years in Pittsburgh to complete their coursework.
After that, they will return to Portugal for their last two years, pursuing research and completing their dissertation.
For more, cmu phd thesis, see the Carnegie Mellon Cmu phd thesis page. Students applying to the dual degree program must apply through Carnegie Mellon's online cmu phd thesis. In addition to the requirements listed below, prospective students must also contact Stacey Young when applying.
Fee waivers may be available in cases of financial hardship, or for participants in select "pipeline" programs. For more information, see the CMU Portugal website.
The MLT program prepares students for a research career in academia or industry, cmu phd thesis. During the academic year, your time will be evenly split between taking courses and doing research with your faculty advisor, cmu phd thesis. Your summer will be devoted entirely to research. Many MLT grads continue on to Ph. programs at CMU and other top institutions, while others pursue careers at companies emphasizing research and rapid innovation, cmu phd thesis. The MLT program lasts two years 24 monthsand students must complete two summers of research.
Students should usually expect to graduate in August of their second year. MLT students take or more course units about 10 coursesat least 72 of which are LTI courses, and 24 cmu phd thesis which cmu phd thesis School of Computer Science SCS courses.
Most of these are unit courses, although lab courses are typically 6 units. Our courses generally assume knowledge of programming and data structures. The remaining units may also be taken from the LTI, or with approval from the faculty advisor, any other senior- or graduate-level course offered at CMU or Pitt.
Directed research is another integral part of the MLT program; MLT students carry out directed research during their studies, with guidance from their faculty advisors. Students may also choose to complete an optional MLT thesis. Guidelines can be found in the MLT Handbook. Applications and all supporting documentation for fall admission to any of the LTI's graduate programs must be received by the final application deadline.
Do not mail anything to the admissions office. If you are accepted to a program, you will be given instruction to then mail your materials. For more details on these requirements, please see the SCS Master's Admissions page. Tuition is set by the School of Computer Science and can vary by year.
Current tuition rates can be found on the Graduate Tuition section of the Student Financial Services website. Research Assistant-ships are occasionally offered by research advisors to current MLT students. These are not guaranteed and vary from semester-to-semester. They fluctuate and are dependent on the funding source, research advisor and MLT student. They have a detailed outline of how to apply for financial aid on the Graduate Financial Aid Process page. Graduate Education — Financial Assistance provides resources for current students regarding emergency loans and conference travel grants.
For a complete breakdown of the MLT program and its policies, including information about internships, please view the MLT Handbook. For more information about the MLT program, contact Kate Schaich. The Mater's in Intelligent Information Systems degree focuses on recognizing and extracting meaning from text, cmu phd thesis language and video.
This combination of classroom instruction, professional experience, and using new skills in significant projects with world-class colleagues will help prepare you for a successful career in industry or government, cmu phd thesis. Our alumni have gone on to exciting careers at places like Apple, IBM and Google, and most have job offers within six weeks of graduation. Read more about our alumni our intranet page. The Intelligent Information Systems degree offers students the flexibility to create their own course of study in consultation with their advisor, cmu phd thesis.
MIIS students gain three types of practical experience: software development supervised by their advisor 24 units equivalent to two courses ; a summer internship which can be waived for students that have sufficient prior professional experience ; and a capstone project executed in a group of peers 42 units equivalent to three unit courses and one 6-unit course. This combination is proven to help IIS students to broaden their skills quickly.
The MIIS degree is offered in two options:. Option 1. Standard MIIS degree MIIS - A month track that is completed in three academic semesters fall, spring, fall and a summer internship. Option 2. MIIS: Advanced Study degree MIIS - A month track that is completed in four academic semesters fall, spring, fall, spring and a summer internship.
MIIS students must take at least 84 units typically 7 courses of qualifying and elective courses that satisfy human language, machine learning, and language technology applications breadth requirements.
MIIS students have to take at least two more courses from the selected concentration area to satisfy their degree requirements, making it total of units typically 9 courses of qualifying and elective courses, that also satisfy breadth requirements. For a full list of requirements, cmu phd thesis, read the MIIS Handbook. For additional information, please review the F.
This schedule would satisfy course requirements for a student interested in text cmu phd thesis, text analytics and question-answering systems. This schedule would satisfy course requirements for a student interested in voice-based computer applications. This example would satisfy course requirements for a student interested in text mining, text analytics and question-answering systems who has petitioned to have the summer internship waived.
Here are some example schedules for completing the MIIS program. This schedule would satisfy course requirements for a student interested in deepening their expertise in Machine Learning area of concentration. This schedule would satisfy course requirements for a student interested in deepening their expertise in Cmu phd thesis Technology Applications area of concentration.
This example would satisfy course requirements for a student interested in deepening their expertise in Human Language area of concentration. For a complete breakdown of curriculum and requirements, read the MIIS Handbook. For a complete breakdown of the MIIS program and its policies, including information about internships, please view the MIIS Handbook. For more information on the MIIS program, visit our intranet page or contact Alexandra "Sasha" Balobeshkina. The MCDS degree focuses on engineering and deploying large-scale information systems.
Our comprehensive curriculum equips you with the skills and knowledge to develop the layers of technology involved in the next generation of massive information system deployments and analyze the data these systems generate. MCDS graduates are sought-after software engineers, data scientists and project managers at leading information technology, software services and social media companies.
The MCDS program offers three majors: Systems, Analytics, and Human-Centered Data Science. All three require the same total number of course credits, cmu phd thesis, split among required core courses, electives, data science seminar and capstone courses specifically defined for each major.
The degree can also be earned in two different ways, depending on the length of time you spend working on it. Regardless of the timing cmu phd thesis, all MCDS students must complete a minimum of units to graduate. For a complete overview of the MCDS requirements, visit the MCDS website or read the MCDS Handbook. To earn an MCDS degree, student must pass courses in the core curriculum, the MCDS seminar, a concentration area and electives.
Students must also complete a capstone project in which they work on a research project at CMU or on an industry-sponsored project. In total, students must complete eligible units of study, including eight unit courses, two unit seminar courses and one unit capstone course. Students must choose at minimum five core courses.
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The LTI offers a dual-degree Ph.D. in Language and Information Technologies in cooperation with: Universidade de Aveiro (Ph.D. in Computer Engineering), Universidade do Minho (Ph.D. in Informatics) and the Universidade do Porto (FCUP, Ph.D. in Computer Science and FEUP, Ph.D. in Computer Science) as part of MAPi;Universidade de Lisboa, Faculdade de Ciências – FCUL (Ph.D. in Informatics) Mar 02, · These are my (@andrewkuznet) opinions, formed by being a SCS PhD student at Carnegie Mellon University in the blogger.com post is meant as a followup to a poster I made in with the help of many people. Following the trend, this guide was also created collaboratively. Every PhD, advisor, and situation is different, but I’ve written this question guide to help a diverse set of readers Yuan Zhou (Ph.D. , joint with Venkat Guruswami) John Wright (Ph.D. ) Sarah R. Allen (blogger.com ) David Witmer (Ph.D. , joint with Anupam Gupta) Yongshan Ding (B.S. thesis ) Chris Jones (B.S. thesis ) Calvin Beideman (B.S. thesis ) Yeongwoo Hwang (B.S. thesis , joint with Anıl Ada) Sidhanth Mohanty (B.S. thesis
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