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Online Classes Kannada Mother Tongue (Native)
English Proficient
VTU 2016
Master of Engineering - Master of Technology (M.E./M.Tech.)
Yelahanka, Bangalore, India - 560064
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
5
BTech Computer Science subjects
Object Oriented Programming & Systems, Design and Analysis of Algorithms, Database Management Systems, Microprocessors, Software Quality Assurance, Data Communication, Compiler Design, Computer Networks, Machine Learning, Discrete Structures, Web Engineering, Data Structures and Algorithms, Java Programming, Programming in C#, Computer Architecture, Artificial Intelligence, Data Warehouse and Data Mining
BTech Branch
BTech Information Science Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Artificial Intelligence, Operating Systems, Principles of Data Communication, Data Warehousing and Data Mining, Embedded Systems, Machine Learning, Software Engineering, Database Systems, Computer Organization & Microprocessor Systems, Information &Web Security, Discrete Structures, Computer Networks, Data Structures and Algorithms, Software Architecture, Design & Analysis of Algorithms
Experience in School or College
Worked as Assistant professor
Type of class
Regular Classes
Class strength catered to
Group Classes
Taught in School or College
Yes
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
5
BTech Computer Science subjects
Object Oriented Programming & Systems, Design and Analysis of Algorithms, Database Management Systems, Microprocessors, Software Quality Assurance, Data Communication, Compiler Design, Computer Networks, Machine Learning, Discrete Structures, Web Engineering, Data Structures and Algorithms, Java Programming, Programming in C#, Computer Architecture, Artificial Intelligence, Data Warehouse and Data Mining
BTech Branch
BTech Information Science Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Artificial Intelligence, Operating Systems, Principles of Data Communication, Data Warehousing and Data Mining, Embedded Systems, Machine Learning, Software Engineering, Database Systems, Computer Organization & Microprocessor Systems, Information &Web Security, Discrete Structures, Computer Networks, Data Structures and Algorithms, Software Architecture, Design & Analysis of Algorithms
Experience in School or College
Worked as Assistant professor
Type of class
Regular Classes
Class strength catered to
Group Classes
Taught in School or College
Yes
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