Brindavan College of Engineering

B.E. - Artificial Intelligence and Machine Learning

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B.E. - Artificial Intelligence and Machine Learning

B.E. - Artificial Intelligence and Machine Learning

DEPARTMENT OVERVIEW

Explore, Learn, Succeed: Your Pathway to Knowledge

Always attracted the best of engineering aspirants from all over the country and abroad.
Department is effective in inducing skilled and competent Computer Engineers and Entrepreneurs prepared to fulfill the requirements of the industry and society at large
Department is well equipped with adequate infrastructure to support academic, research and extra-curricular activities for the all-round development of our students with well-qualified, skilled and experienced faculty members.
The Department frequently organizes Hands-on Workshops, Seminar , Webinars, Guest Lectures and Faculty Development Programs in recent trends from Industry Resource for the benefit of students and faculty community.
The Department encourages the students to conduct and participate in extracurricular/ sports activities.
The Department has signed MoU’s with leading IT Industries and International Journals.
The Proctorial and Mentoring system is active by meeting students and conducts Parents Teachers Meeting

VISION AND MISSION

VISION

To be a premier center of excellence for artificial intelligence research through innovative inter disciplinary collaborations and making good contributions to the community, organizations and society at large.

MISSION

To develop students into technically proficient professionals while aiding in their infusion of the creative spirit.

Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.

Develop a culture of lifelong learning, social responsibility, environmental conservation and professional ethics.

Create centers of excellence in leading areas of computing and artificial intelligence.

Salient Features

Shaping Today, Tomorrow

We have transformed our teaching techniques from black board to hands-on experience and ICT learning.

The Department emphasizes practical and project based learning for students. Students are working on Real time projects in various domains such as Machine Learning, Artificial Intelligence, Internet of Things, Cyber Security, etc.

The Department has efficient and well qualified faculties.

The Department has well-equipped WiFi enabled Laboratories and classrooms with CCTV monitoring.

Additional tutorial classes are conducted for slow learners.

Expanding learning opportunities through online classes and providing course materials and Laboratory programs videos.

The Department fosters student’s participation in National/ International Conferences, Technical fest, Cultural events, Sports meets and extracurricular activities.

The Department promotes students to prepare for various competitive examinations.

Students actively participate in University Level Sports meet, Inter College Fest, Hackathon, National Technical Fest, Awareness Camps etc. while focusing on academics..

Industrial experts have been invited to conduct Hands-On Workshops, Seminars, Skill development programs.

Block Chain

Networking and Communication

Developing Cross Platform Mobile and Web Apps

Big Data Analytics

Software Testing and Web Application

Machine Learning

Artificial Intelligence..

Cloud Computing

Amazon Web Services (AWS)

Cyber Security

Python Programming.

Tips To Crack the Campus Placement Interview.

Carrier Enhancement, Inspiration

DNS Security and DNS Configuration

iOS App Development BootCamp

POs are statements that describe what students are expected to know and be able to do upon graduating from the program. These relate to the skills, knowledge, analytical ability attitude and behaviour that students acquire through the program.

PO1.Engineering Knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and computer science and business systems to the solution of complex engineering and societal problems.

PO2.Problem Analysis : Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3.Design/Development of Solutions : Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4.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

PO5.Modern Tool Usage : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PO6.The Engineer and Society : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7.Environment and Sustainability : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.

PO8.Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9.Individual and Team Work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10.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.

PO11.Project Management and Finance : Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12.Life-Long Learning : Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

DEPARTMENT LABORATORIES

Digital Design & Computer Organisation Laboratory

Operating System Laboratory.

Data Structures Laboratory

Python Programming for Data Science Laboratory

Computer Network Laboratory

Data Visualization Laboratory.

Deep Learning Laboratory

Database Management Laboratory

Machine Learning Laboratory.

Project Laboratory.

INFRASTRUCTURE

Realizing the importance of rapid advancements in the Artificial Intelligence and Machine Learning sectors, all the laboratories have been furnished with high speed LAN. The labs are updated and upgraded frequently as per the requirements and demand of industry. The well-equipped laboratories help students to meet ever increasing technological and social challenges with its traditions of self-discipline, hard work and a creative approach to solve problematic issues.

PROGRAM SPECIFIC OUTCOMES

PSO1 :

Demonstrate and understand the principle and working of the computer system , solve computational tasks using appropriate techniques, tools and skills.

PSO2 :

Possess professional engineering practices in various domain’s to identify research gaps and create scalable IT solutions.

PSO3 :

Creating an innovative career path, achieving additional expertise and zest for higher studies.

PROGRAM EDUCATIONAL OBJECTIVES

PEO1 :

To impart a strong foundation in engineering fundamentals, knowledge and capability of quality study.

PEO2 :

To provide in depth knowledge in analyzing, design and solving real life computational problems.

PEO3 :

To foster professionalism with ethical consciousness, interpersonal skills and be able to adapt to the evolving technical changes.

3rd to 8th Semester BE – Artificial Intelligence and Machine Learning Scheme of Teaching and Examinations Outcome Based Education (OBE) and Choice Based Credit System (CBCS) (Effective from the academic year 2021 – 22)

Scheme and Syllabus Link:

Course Structure

Download

ELIGIBILITY

General Criteria

Candidates must have passed Class 10+2 exam from a recognised board with Physics, Chemistry and Mathematics as core subjects

Must have secured a minimum aggregate marks of 45% in the above subjects combined

In case of SC / ST, Category-1, 2A, 2B, 3B and 3B category , minimum marks for the eligibility shall be 40%

KCET - E171

COMEDK - E030

INDUSTRY ACADEMIA INTERFACE

The Department is focused towards growth and technology trends. Industrial experts are been invited for conducting Hands-On Workshops on Networking, Software Testing, Machine Learning , Artificial Intelligence and Seminars & Guest Lectures on Cloud Computing ,AWS, Internet of Things (IOT),Cyber Security, Big Data Analytics, Developing Cross Platform Mobile and Web Apps etc.

FACULTY DETAILS

Prof. Padmavathi H G

Associate Professor & HoD

Qualification : B.E, M.Tech, (PhD)

Experience : 20 years

Specialization : Computer Science

Area of Interest : Deep Learning Artificial Intelligence

Email Id : hodaiml@brindavancollege.com

Prof. Sanjay P

Assistant Professor

Qualification : B.TECH,M.TECH

Experience : 1 years

Specialization : Artificial Intelligence

Area of Interest : Artificial Intelligence and Machine Learning

Email Id : sanjayp@brindavancollege.com

Prof. Manasa M

Assistant Professor

Qualification : B.E,M.TECH

Experience : 5 years

Specialization : Power Electronics

Area of Interest : Digital Electronics, Computer Network

Email Id : manasa@brindavancollege.com