Available courses

    UNIT I
     CELL STRUCTURE 9 Cell organization, structure of organelles, extra cellular matrix and cell junctions

    To design digital circuits using simplified Boolean functions 

    To analyze and design combinational circuits

    To analyze and design synchronous and asynchronous sequential circuits






    Course Objectives:

    1)     To understand the need for machine learning for various problem solving

    2)     To study the various supervised, semi-supervised and unsupervised learning algorithms in machine learning

    3)     To learn the new approaches in machine learning

    4)     To design appropriate machine learning algorithms for problem solving

    Course Outcomes:

    CO1: Differentiate between supervised, unsupervised, semi-supervised machine learning approaches  

    CO2: Apply specific supervised or unsupervised machine learning algorithm for a particular problem  

    CO3: Analyze and suggest the appropriate machine learning approach for the various types of problem  

    CO4: Design and make modifications to existing machine learning algorithms to suit an individual application  

    CO5: make use of machine learning algorithms to development diverse applications 

    CO6: Provide useful case studies on the advanced machine learning algorithms 


    A one semester course, Low cost automation is one of the important courses for students who would enter the manufacturing sector, be it food industry or construction or heavy machinery, automotive industry, aerospace and the likes. It is an inter-disciplinary course where one could get an insight of mechanical, hydraulics, pneumatics, electronics, microprocessors, PLCs systems which play vital roles whey they are integrated and applied.

    Elective Course - ME8099

    STUDY MATERIALS

    Course Materials: Biometric Systems

    Biometric Systems is an interdisciplinary engineering field that uses the best of technology in utilizing the human uniqueness in authentication and verifying various processes.



    COURSE OBJECTIVES:

    • To assimilate the nature of static electric and magnetic fields in free space and in materials

    • To understand the relation between electric and magnetic fields through Maxwell’s equation

    • To learn the general wave behavior in different waveguides

    COURSE OUTCOMES:

    CO 1: Summarize the coordinate systems and basic theorems of static electric field

    CO 2: Explain the basic laws and theorems of static magnetic field

    CO 3: Illustrate the boundary conditions based on materials for electric and magnetic field

    CO 4: Apply Maxwell’s equation on different wave propagation media

    CO 5: Examine the wave behavior and mode of propagation in rectangular and cylindrical waveguides


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