Announcements

Congratulations to SUMA N.G (M.Tech CSE) for securing VTU 1st rank and winning University Gold Medal

Congratulations to Dr. Para Nath Singh for winning Maulana Abul Kalam Azad Excellence Award of Education-2020 award

Congratulations Mr. Siri H R for securing an offer of 23 LPA from Canbright Co. Ltd. (through Zenken)

Congratulations Mr Rahul RD Sahoo(BE-CSE) for securing an offer of ₹21+ LPA from Spacegrab, a Japanese company

Hearty Congratulations to Mr. Ashutosh Bhatte (M.Tech - CSE 2020) for securing a 22 LPA CTC from Synechron Technologies.

CMRIT ranked 32nd among Top 50 pvt. engg. colleges as per BW-ICARE survey 2018

Department of Artificial Intelligence and Machine Learning

Department Overview

The Department of Artificial Intelligence and Machine Learning is established in the year 2021, offers an undergraduate programme BE under the affiliation of Visvesvaraya Technological University, Belgaum.

CMRIT thrives to impart an effective technical education by means of experiential learning and thereby develop positive learning experiences. To emphasize on lifelong learning and applying knowledge on solving real world problems, the department conducts various technical events like hackathons, coding competitions, training programs, workshops and seminars. At the department, we strive to impart the best in terms of knowledge dissemination and make learning fun and interesting.

Our initiatives will definitely mould the students in such a way that they face the external world with prompt technical, interpersonal and problem-solving skills. In order to prepare Industry ready students with holistic personality, we tie up with various firms and regularly organizes various activities like industry visits, technical talks, and real-time projects to hone the students’ technical and soft skills.

 

Vision
To be globally recognized in the field of Artificial Intelligence and Machine Learning by producing competent professionals and by undertaking applied research for the benefit of the society.

 

Mission:
1. To establish an essential environment with required infrastructure and faculty for imparting domain knowledge.
2. To bring out the competent and industry ready students by practicing theoretical aspects with experiential Learning
3. To prepare the students with holistic personality by means of appropriate technical and communication skills for solving real world problems.
4. To collaborate with industry and premier institutes in terms of research and academics for upgrading knowledge and achieving goals

 

Program Educational Outcomes (PEOs)

PEO1: Graduates would be proficient in strong fundamentals in engineering, science, and technology; to establish successful career paths.
PEO2: Graduates would plan, analyze, design, develop and test AI and ML based solutions for real world problems.
PEO3: Graduates would be able to apply best practices in project building and exhibit leadership qualities with strong personality.
PEO4: Graduates would have multiple options, along with pursuing careers, such as entrepreneurship or opting in to go for studies.
PEO5: Graduates would adhere to professional ethics and become socially responsible human beings.

 

Programme Outcomes (POs)

1. Engineering knowledge: Apply knowledge of mathematics, science, engineering fundamentals, along with engineering specialization knowledge for providing solution to complex engineering problems.

2. Conduct investigations of complex problems: Use research–based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

3. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

4. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

5. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

 

Programs Specific Outcomes (PSOs)

PSO1: To design and develop software systems with the knowledge of data structures, analysis of algorithms, web design, machine learning and Image processing techniques.

PSO2: To design and develop networking and embedded software solutions by means of data communication, sensors and its applications, robotics, virtual reality and Internet of Things (IoT).

PSO3: To apply mathematical principles in computational tasks and software project development to produce quality products.

PSO4: To ideate intelligent solutions for real-world business problems with appropriate analytical and technical skills.

 

Courses

Undergraduate Program

B.E. | Artificial Intelligence and Machine Learning

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