Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.
Advanced topics spanning Electrical Engineering and Computer Science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Advanced Big Data Analytics.
Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.
Prerequisites: Graduate student status, calculus, or instructor permission Priority given to first year PhD students in the Department of Earth and Environmental Sciences. Computing has become an indispensable tool for Earth Scientists. This course will introduce incoming DEES PhD students to modern computing software, programming tools and best practices that are broadly applicable to carrying out research in the Earth Sciences. This includes an introduction to Unix, programming in three commonly used languages (Python, MATLAB and Fortran), version control and data backup, tools for visualizing geoscience data and making maps. Students will learn the basics of high performance computing and big data analysis tools available on cluster computers. Student learning will be facilitated through a combination of lectures, in-class exercises, homework assignments and class projects. All topics will be taught through example datasets or problems from Earth Sciences. The course is designed to be accessible for Earth Science graduate students in any discipline.
Prerequisites: biology, ecology, genetics, and evolution. Introduction to the applied science of maintaining the earths biological diversity, its landscapes, and wilderness. Focus on the biological principles relevant to the conservation of biodiversity at the genetic, population, and community and landscape levels.
Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.
Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.
Prerequisites: the instructors permission. (Seminar). This course aims to contribute to your professional development while preparing you to teach University Writing, Columbia’s required first-year writing course. By the end of this course, you should have a basic grasp of the goals and structure of University Writing, the principles that inform its design, and the kinds of materials used in the course. While the course has an immediate goal—to prepare you for your fall teaching assignment—it aims simultaneously to enrich your teaching in the broadest sense. Your fall University Writing syllabus, as well as your lesson plans and homework assignments for the first eight classes, are due for review on August 1, 2016. This course will give you opportunity to prepare these materials throughout this semester with the support of the UWP directors, senior instructors, and advising lecturers. This course is the first of your ongoing professional development obligations as a UW instructor. You must successfully complete G6913 to teach in the UWP. Every subsequent semester, you will be required to attend a staff orientation, attend at least one workshop, and meet with your mentor and advising UWP director. All instructors new to the UWP must take this 1-credit, ungraded course during the fall of their first year of teaching. The course is intended to guide instructors through their first semester and emphasizes the practical application of the knowledge and expertise developed in G6913. Successful completion of the course is required for continuation as a UWP instructor.
Topics to help CS/CE and EE graduate students’ communication skills. Emphasis on writing, presenting clear, concise proposals, journal articles, conference papers, theses, and technical presentations. Credit may not be used to satisfy degree requirements.
Prerequisites: EESC W4008,EESC W4210/APPH4210 and EESC G6927, or some prior exposure to linear equatorial wave theory. An introduction to the physics governing the large-scale behavior of the tropical atmosphere. Topics covered include the Hadley and Walker circulations, monsoons, atmospheric equatorial waves, the Madden-Julian oscillation, tropical cyclones, and El Nino. Principles of atmospheric dynamics and thermodynamics will be introduced as needed.
Prerequisites: ECON G6412, ECON G6411, ECON G6215, ECON G6211. Corequisites: ECON G6212, ECON G6216, ECON G6412. This course will critically examine mainstream approaches to economic theory and practice, particularly in the areas of macroeconomic stabilization policy, poverty reduction, economic development, environmental sustainability, and racial and gender inequality. Topics will vary from year to year, but may include responses to the credit crisis and Great Recession, global warming and international negotiations, globalization, the measurement of poverty and inequality, different approaches to poverty reduction, AIDS and malaria, mass imprisonment, childrens wellbeing, the IMF and the World Bank, intellectual property in an international context, racial disparities in life expectancy, public pension systems in developed countries, health care, and homelessness. The course will also examine biases in economic discourse, both among policy makers and scholars.
Provides students the opportunity to present work in progress or final drafts to other students and relevant faculty to receive guidance and feedback.
MRST Directed Readings, Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
MRST Directed Readings: Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
MRST Directed Readings: Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
First part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
Examines representations of the mafia in American and Italian film and literature. Special attention to questions of ethnic identity and immigration. Comparison of the different histories and myths of the mafia in the U.S. and Italy. Readings includes novels, historical studies, and film criticism. (NOTE: This is the graduate section of CLIA GU3660 which meets W 6:10p-10:00p)
May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for electrical engineering and computer engineering graduate students who include relevant off-campus work experience as part of their approved program of study. Final report required. May not be taken for pass/fail credit or audited.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.