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College CET CODE E112

AIML Department Laboratory

Data Structures Laboratory:

Data Structures Laboratory is to provide practical learning on various data structures and to understand the processing of different algorithm for problem-solving. Students gain practical knowledge by writing and executing programs in C/C++/JAVA using various data structures and implementing algorithm principles.

Analog and Digital Electronics Laboratory:

The Analog and Digital Electronics Laboratory is to provide students to observe working of various electronic components and design of Electronic Circuits and Digital Circuits, with digital trainer kits, CRO’s, signal generators and IC’s such as 7432, 7402, 7486, 74132, 7473 etc.,

Design and Analysis of Algorithm Laboratory:

Design and Analysis of Algorithm Laboratory is to provide creating an efficient algorithm to solve problem in an efficient way using minimum time and space. And also, through analysis provides theoretical estimation for the required resource.

Microcontroller and Embedded Systems Laboratory:

Microcontroller Lab helps students to learn and enhance their Assembly Level Language programming skills for ARM based Microcontroller. Also they learn to interface microcontroller with external devices like stepper motor, keypad, Logic controller, LCD, 7 segment displays etc.,

Artificial Intelligence Laboratory:

Artificial Intelligence Laboratory is to learn and execute basic python fundamental programs, Implement and demonstrate various AI algorithms for problem solving and also to evaluate the same.

Data base management systems Laboratory

Data base management systems Laboratory gives the foundation knowledge in database concepts, technology and practice to groom students into well informed database application developers. It gives strong practice in SQL programming through a variety of database problems and give the knowledge to develop database applications using front-end tools and Back end DBMS

Machine Learning Laboratory

In machine learning lab, students learn various algorithms to design and implement machine learning solutions to classifications, regression and clustering problems.

Digital Image Processing Laboratory

Digital image processing laboratory is the use of a digital computer to process digital images through an algorithm. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing.

Mobile Application Development Laboratory:

Mobile Application Development Laboratory is to provide processes and procedures involved in writing software for small, wireless computing devices.

AI and ML Application Development Laboratory:

The Artificial Intelligence and Machine Learning lab is to make computers learn much about the world, so rapidly and flexibly, as humans. This poses many deep and fascinating scientific problems.