To attain academic excellence by implementing innovative teaching and learning methods.
To foster a culture of innovation, creativity, and research.
To improve job readiness through skill enhancement and fostering interaction between academia and industry.
To cultivate individuals with a strong sense of ethics and social accountability.
To serve as a hub of excellence in Artificial Intelligence and Machine Learning, offering high-quality education and research that addresses the demands of both industry and society.
PEO1: Skilled professionals in Artificial Intelligence and Machine Learning equipped to pursue careers across various domains and advance in higher education.
PEO2: Experienced in crafting inventive solutions for real-world challenges that are technically robust, economically feasible, and socially embraced.
PEO3: Adept at collaborating within teams and embracing emerging technologies in alignment with societal demands, all while upholding ethical principles.
PSO1: Co-design of hardware and hardware-software integration: Proficiency in recognizing, designing, simulating, analyzing, and constructing AI and ML models, utilizing contemporary engineering tools and programming languages.
PSO2: Specialized skills within a particular domain: The capability to function effectively in roles such as AI/ML Engineer, Data Scientist, Business Analyst, Product Analyst, Research Scientist, and Robotics Professional.
1. Transform Calculus, Fourier Series and Numerical Techniques
2. Data Structures and Applications
3. Analog and Digital Electronics
4. Computer Organization
5. Software Engineering
6. Discrete Mathematical Structures
7. Analog and Digital Electronics Laboratory
8. Data Structures Laboratory
1. Complex Analysis, Probability and Statistical Methods
2. Design and Analysis of Algorithms
3. Operating Systems
4. Microcontroller and Embedded Systems
5. Object Oriented Concepts
6. Data Communication
7. Design and Analysis of Algorithm Laboratory
8. Microcontroller and Embedded Systems Laboratory
1. Management and Entrepreneurship for IT Industry
2. Python Programming
3. Database Management System
4. Automata Theory and Computability
5. Principles of Artificial Intelligence
6. Mathematics for Machine Learning
7. Artificial Intelligence Laboratory
8. DBMS Laboratory with mini
9. project
1. Machine Learning
2. Digital Image Processing
3. Java for Mobile Applications
4. Machine Learning Laboratory
5. Digital Image Processing Laboratory with mini project
6. Mobile Application Development Laboratory
1. Advanced Artificial Intelligence
2. Advanced Machine Learning
3. Internet of Things
4. Fuzzy Logic& its Applications
5. AI and ML Application
6. Development Laboratory
1. Neural Networks and Deep Learning
2. System Modelling and Simulation
ICEAS
1. Data Structures and Applications
2. Design and Analysis of Algorithms
3. Python Programming
4. Database Management System
5. Java for Mobile Applications
6. Mobile Application Development Laboratory
7. AI and ML Application Development Laboratory
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MBA Students Industrial visit to Bangalore Metro stations(25-08-2023) to know the startup issues – Entrepreneurship opportunities and Challenges
MBA students Participated in the “Business plan-Inter collegiate competition” -ideate 2023 held in Koshys college(28-09-23)-To orient on Business Planning and Launching an Enterprise
Industrial visit to Coorg Coffee Estate -to make the aware Coffee industry and opportunities(27-29, October 23)
ICEAS
Welcome to the ICEAS Admission Cell. Please fill in the application form below, ensuring all mandatory details are completed. Submit the form, and our team will contact you.
ICEAS
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