Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889.
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: 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.
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: Quantum Computing and Communication.
Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.
This proposed course allows for a variety of potential advanced courses to be taught as part of the proposed concentration on control.
MRST Directed Readings, Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
First part of two-term MA Thesis sequence for MRST MA Students.
Second part of two-term MA Thesis sequence for MRST MA Students.
English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.
This is a course is oriented to graduate students who are thinking about issues in teaching in the near and distant future and want to explore forms of pedagogy. The course will ask what it means to teach “as a feminist” and will explore how to create a classroom receptive to feminist and queer methodologies and theories regardless of course theme/content. Topics include: participatory pedagogy, the role of political engagement, the gender dynamics of the classroom, modes of critical thought and disagreement. Discussions will be oriented around student interest. The course will meet 4-5 times per SEMESTER (dates TBD) and the final assignment is to develop and workshop a syllabus for a new gender/sexuality course in your field. Because this course is required for graduate students choosing to fulfill Option 2 for the Graduate Certificate in Feminist Studies at IRWGS, priority will be given to graduate students completing the certificate.