Vision Mission of the Department
Vision
To bring forth technically versatile, Research oriented, Industry ready engineers in the field of Artificial Intelligence and Machine Learning
Mission
Facilitate modern infrastructure and versatile learning resources to produce self-sustainable professionals
Facilitate project based learning and skill upgradation through industry collaborations
Inculcate professional ethics, leadership qualities and practice lifelong learning
Program Specific Outcomes (PSOs):
PSO1: Graduates will have the ability to adapt, contribute and innovate ideas in the field of Artificial Intelligence and Machine Learning.
PSO2: To provide a concrete foundation and enrich their abilities to qualify for Employment, Higher studies and Research in various domains of Artificial Intelligence and Machine Learning such as Data Science, Computer Vision, Natural Language Processing with Ethical Values.
PSO3: Graduates will acquire the practical proficiency with niche technologies and open-source platforms and to become Entrepreneur in the domain Artificial Intelligence and Machine Learning.
Program Educational Objectives (PEOs):
PEO1: Attain proficiency in professional practice
PEO2: Practice technical skills to identify, analyze and solve complex problems related to Artificial Intelligence and Machine Learning.
PEO3: Emerge as an Individual or a team member with societal concerns, ethics and motivated for holistic learning.
Course Objectives
Learn and acquire the art of Android Programming.
Configure Android studio to run the applications.
Understand and implement Android's User interface functions.
Create, modify and query on SQLite database.
Inspect different methods of sharing data using services.
Course Outcomes
At the end of the course the student will be able to:
Create, test and debug Android application by setting up Android development environment.
Implement adaptive, responsive user interfaces that work across a wide range of devices.
Infer long running tasks and background work in Android applications.
Demonstrate methods in storing, sharing and retrieving data in Android applications.
Infer the role of permissions and security for Android applications.
List of Experiments
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Lesson Plan
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Lab Manual
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MAD Lab Manual