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ECE 556 - AI for Radar and Remote Sensing

  • 3 credits
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Radar and remote sensing using techniques from artificial intelligence (AI) and data science, with applications to areas such as precipitation observation, identification, classification, estimation, and prediction.

Prerequisite

CS 152 (Introduction to Programming (CS0)-Python) or CS 162 (CS1--Introduction to Java Programming) or CS 163 (CS1--No Prior Programming Experience) or CS 164 (CS1--Prior Programming Experience); ECE 303/STAT 303 (Introduction to Communications Principles) or STAT 303 (Introduction to Communications Principles); DSCI 369 (Linear Algebra I) or MATH 369 (Linear Algebra I); minimum grade of C required of all prerequisites; Junior standing.. Credit not allowed for both ECE 556 and ECE 58

Textbooks and Materials

Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.

Instructors