Skip to page content

Courses

  • Information Theory (10206)
  • תקציר הקורס:

    Abstract:

    The course deals with mathematical models that allow

    quantitative approach to the concept of information.

    These include quantitative metrics of information content,

    discrete information sources (without memory and with it),

    coding practices and channel capacity.
  • Data Science Lab1 (65023)
  • תקציר הקורס:

    Abstract:

    This lab involves the implementation of theoretical knowledge, methods and algorithms that the students learn in their parralel Machine Learning course. The lab focus on hands-on practice on implementation in the Pythin language, its environments and its specific code packages and libraries for machine learning.
  • Machine Learning In Speech Processing Technologies (65222)
  • תקציר הקורס:

    Abstract:

    Speech technologies include various components of machine learning/

    This course will teach the unique methods used in speech processing,

    the machine learning methods implemented in these processes and particularly,

    the special inter-relation between these two disciplines,

    which are necessary to the understanding of the processes involved and their correct implementations.
  • Sailing Fundamentals - Theory And Practice (80937)
  • תקציר הקורס:

    Abstract:

    Start your journey in the wonderful sport and lifestyle of sailing. The objective of this course is to prepare you for an exciting sailing adventure as crew of a sailboat.

    You will first learn the basics of sailboat design and func tions, fundamentals of navigation, instrumentation, safety procedures, meteorology, and seamanship. The practical tutorials will be held in a sailboat, where you and your course mates work as a team to

     help your skipper operate the sailboat safely and efficiently.

    Notes: the practical sailings will be scheduled for groups of 4-5 students, premitting changes of weather.