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Courses

  • Human Computer Interaction- Hci (10235)
  • תקציר הקורס:

    Abstract:

    In recent years Human Computer Interface was proven critical to the success of software systems and computer and mobile applications. The ability to understand the needs is effecting the implementation design and interface technologies to be used as interface.

    The right combination and fusion of computation, data and sensors enabling the creation of creative and smart interfaces. Nonetheless we must also know the theory which lays the basis for human machine interaction and how it effects the design.

    The course connects between the analysis, design and evaluation theoretical background of human computer interaction and real world applications and industry projects by introducing real case studies and project from the hi-tech industry and research.

    The topics discussed are:

    • Methodologies for collecting and verifying users’ needs and requirements

    • Using Best practices for defining HCI requirements, usability and interaction design

    • Using methodologies and tool to develop HCI while emphasizing design and formatting issues

    • Methods for QA and usability evaluation

    • POC design
  • Autonomous Vehicles and Human Engineering in the Worlds of AI (10359)
  • תקציר הקורס:

    Abstract:

    Our world is rapidly progressing towards autonomy at an incredible pace. Shortly, driverless vehicles will appear on the roads, and pedestrians need to understand how to behave in this new world. Therefore, it is necessary to examine optimal communication between pedestrians, passengers, and autonomous vehicles. For this purpose, it is essential to comprehend both human capabilities and limitations, as well as the current technological possibilities.

    During this course, we will look at human-centered design principles and observe users' limitations (including the psychological aspects concerning future technology). Moreover, we will explore the various tools available for data gathering, such as external vehicle cameras and environmental sensors.

    Then, the students will examine a problem existing in the transportation world today using big data analysis and classic user research tools (interviews, observations, usability tests, etc.) and provide optimal solutions (prototypes) that can be applied in the autonomous vehicles world.