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Courses

  • Seminar In Machine Learning (10355)
    • תקציר הקורס:

    Abstract:

    Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.

    The course will present basic algorithms for supervised and unsupervised machine learning including classification, regression and clustering.

    Students will be assigned to a team working on a chosen ML project from the list distributed at the beginning of the course. The teams will use methods presented in class and do self-research and self-study for more advanced topics. The project will be implemented using R or Python.
  • Final Project in Computer Science (11401)
    • תקציר הקורס:

    Abstract:

    The final project workshop will escort the students in its preliminary stages of the final project selection process and assist to create a comprehensive definition of the broad problem description, prior studies, competitive analysis, goals, objectives & measurements, algorithm design, work plan and code development and evaluation. .