Admission open for 2025-26

UG and PG programs | B.E – CET : E139 | M.Tech – PGCET : T962 | MBA – PGCET : B186

ICEAS

Department AI and ML

Overview

Artificial Intelligence (AI) stands as a burgeoning field within computer science, rapidly extending its reach into various domains such as healthcare, security, entertainment, education, autonomous transportation, intelligent robotics, space exploration, speech processing, stock trading, and more. The applications of AI have ushered in significant changes in our daily lives, endeavoring to infuse machines with artificial intelligence that mirrors human cognitive abilities. Machine Learning (ML), a subset of AI, aims to imbue machines with self-learning capabilities. AI and ML serve as pivotal catalysts for digital transformation, generating numerous job opportunities. The demand for proficient engineers trained in these technologies is substantial, rendering a degree in this field highly valuable and industry-relevant for students. We provide a 4-year B.E. program in Artificial Intelligence and Machine Learning, encompassing core computer science courses alongside essential subjects related to AI and ML. This program facilitates the acquisition of fundamental knowledge and skills in mathematics, network architectures, computer vision, programming, communication networks, and machine learning.

Vision

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.

Mission

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.

Vision

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.

Mission

  1. To attain academic excellence by implementing innovative teaching and learning methods.
  2. To foster a culture of innovation, creativity, and research.
  3. To improve job readiness through skill enhancement and fostering interaction between academia and industry.
  4. To cultivate individuals with a strong sense of ethics and social accountability.

Program Educational Objectives (PEOs)

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.

Programme Specific Outcomes (PSOs)

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.

Overview Of the Curriculum

3rd SEM

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

4th SEM

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

5th SEM

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

6th SEM

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

7th SEM

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

8th SEM

1. Neural Networks and Deep Learning
2. System Modelling and Simulation

ICEAS

Value Added Courses

Skill development courses

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

FAQ

What programs does the AI and ML Department offer?

The AI and ML Department at Impact College of Engineering offers undergraduate and postgraduate programs, including B.Tech in Artificial Intelligence & Machine Learning and M.Tech in AI & ML, with a focus on both theoretical foundations and practical applications.

What career opportunities can I expect after studying AI and ML?

Graduates of our AI and ML programs are well-equipped for careers in data science, machine learning engineering, AI research, robotics, and more. Companies across various industries, including tech, healthcare, finance, and automotive, are actively seeking skilled professionals in AI and ML.

How does the curriculum ensure hands-on learning?

Our curriculum includes real-world projects, industry collaborations, internships, and labs equipped with the latest AI and ML tools and technologies. Students work on solving real-life problems to build practical skills in machine learning algorithms, deep learning, and data analytics.

Do I need a background in coding to join the AI and ML Department?

While a basic understanding of programming is beneficial, we provide comprehensive introductory courses on programming, algorithms, and data structures to ensure all students can get up to speed. By the end of the program, you’ll be proficient in languages like Python, R, and tools like TensorFlow and PyTorch.

What sets Impact College’s AI and ML Department apart?

Our department stands out due to its industry-aligned curriculum, expert faculty, state-of-the-art infrastructure, and partnerships with top tech companies for research and internships. We also emphasize the ethical and societal impacts of AI, preparing students to be responsible innovators.

What are the admission requirements for the AI and ML programs?

Admission to our AI and ML programs is based on performance in entrance exams (like JEE) and academic qualifications. For postgraduate programs, we require a relevant undergraduate degree with a strong background in mathematics and programming.

EVENTS

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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

Admissions

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.

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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