ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Achievements
Industry Collaboration
Research
Laboratory
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About Department
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Vision & Mission
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Vision and Mission
VISION
Strive for excellence in Computer Science and Engineering producing competent professionals with
ethical values and social responsibility.
MISSION
The students will be able to achieve quality education by providing competent faculty members,
Innovative teaching – learning process, Computing facilities and Skill Development Training in the
field of Computer Science.M1: Attaining academic excellence through competent faculty, innovative teaching-learning process
and creating Centre of excellence in leading areas of Computer Science.
M2: To create ambiance for effective learning and skill development by promoting research culture
with industry institute interaction.
M3: To inculcate professionalism adherence to ethical and social values. -
Programs Offered
-
Syllabus
-
Faculty Details
-
Faculty Details
-
Laboratory Details
-
Laboratory Details
Artificial Intelligence and Machine Learning
Artificial Intelligence Lab
Machine Learning Lab
Deep Learning Lab
Web Application Development Lab
-
Office
About
the
Department
The department was established in the year 2022 with an intake of 60 in
Bachelor Programme. Now, it administers Bachelor’s programme in Computer
Science and Engineering (Artificial Intelligence & Machine Learning) with an
intake of 90. The department is approved by AICTE, New Delhi and affiliated
to JNTUA, Ananthapuramu. The primary goal of CSE(AI&ML) is to provide
best IT infrastructure, good teaching & learning environment, adopt industry
practices through industry collaborations and inculcate moral and ethical values.
Artificial Intelligence (AI) and Machine Learning (ML) in the field of Computer Science and Engineering aims to build intelligent machines that can impersonate human cognitive functions, such as seeing, learning, and problem- solving. The learners will comprehend the basic AI-related terms such as Machine Learning, Deep Learning, and Expert Systems which will play a key role in the future of technology and science. This program is designed along with the Computer Science & Engineering core and more emphasis on AI and ML specialization.
This is a very practical engineering degree where you will develop AI apps and platforms to understand the role of AI in future technology. Students will learn strong problem solving and analytical skills in Artificial Intelligence and Machine Learning Course at KPR institute of Engineering and Technology By acquiring knowledge, Our students are undergone internship in IT industries that develop projects in the field of Web development, Application Software, Automation Software, Data analytics, Multimedia Software etc.,
Artificial Intelligence (AI) and Machine Learning (ML) in the field of Computer Science and Engineering aims to build intelligent machines that can impersonate human cognitive functions, such as seeing, learning, and problem- solving. The learners will comprehend the basic AI-related terms such as Machine Learning, Deep Learning, and Expert Systems which will play a key role in the future of technology and science. This program is designed along with the Computer Science & Engineering core and more emphasis on AI and ML specialization.
This is a very practical engineering degree where you will develop AI apps and platforms to understand the role of AI in future technology. Students will learn strong problem solving and analytical skills in Artificial Intelligence and Machine Learning Course at KPR institute of Engineering and Technology By acquiring knowledge, Our students are undergone internship in IT industries that develop projects in the field of Web development, Application Software, Automation Software, Data analytics, Multimedia Software etc.,
Vision and Mission
VISION
Strive for excellence in Computer Science and Engineering producing competent professionals with
ethical values and social responsibility.
MISSION
The students will be able to achieve quality education by providing competent faculty members,
Innovative teaching – learning process, Computing facilities and Skill Development Training in the
field of Computer Science.
M1: Attaining academic excellence through competent faculty, innovative teaching-learning process
and creating Centre of excellence in leading areas of Computer Science.
M2: To create ambiance for effective learning and skill development by promoting research culture
with industry institute interaction.
M3: To inculcate professionalism adherence to ethical and social values.
Programs Offered
B.Tech. – CSE(Artificial Intelligence & Machine Learning)
Program Educational Objectives (PEOs)
The Program Educational Objectives of the department of Computer Science and Engineering are
such that when the students graduate, they will be able to:
- PEO-1Become successful professional with ethical and social values.
- PEO-2 Pursue higher education in reputed institutions
- PEO-3 Become successful entrepreneur to serve the society with ethical and social values.
Program Outcomes (POs)
Engineering Graduates of CSE department of KEC will be able to:
- PO-1Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO-2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO-3 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.
- PO-4 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.
- PO-5 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.
- PO-6 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.
- PO-7 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.
- PO-8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO-9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO-10 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.
- PO-11 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.
- PO-12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes (PSOs):
- PSO1: Ability to design, analysis and develop computer program in the area related to web design, multimedia, algorithms and networking.
- PSO2: An ability to apply standard practices and strategies in software project development using open-sources.
Syllabus
CSE(Artificial Intelligence and Machine Learning)
- B.TECH-R20-Syllabus
- B.TECH-R19-Syllabus
- B-Tech_CSE_R15-Syllabus
- B-Tech-CSE-R13-Syllabus
Faculty Details
Laboratory Details
Artificial Intelligence and
Machine
Learning
Artificial Intelligence Lab
Machine Learning Lab
Deep Learning Lab
Web Application Development Lab
For any correspondence to the Department, Please write to
- About Department
- Vision & Mission
- Programs Offered
- Syllabus
- Faculty Details
-
Faculty Details
- Laboratory Details
-
Laboratory Details
Artificial Intelligence and Machine LearningArtificial Intelligence Lab
Machine Learning Lab
Deep Learning Lab
Web Application Development Lab
- Office
About
the
Department
The department was established in the year 2022 with an intake of 60 in
Bachelor Programme. Now, it administers Bachelor’s programme in Computer
Science and Engineering (Artificial Intelligence & Machine Learning) with an
intake of 90. The department is approved by AICTE, New Delhi and affiliated
to JNTUA, Ananthapuramu. The primary goal of CSE(AI&ML) is to provide
best IT infrastructure, good teaching & learning environment, adopt industry
practices through industry collaborations and inculcate moral and ethical values.
Artificial Intelligence (AI) and Machine Learning (ML) in the field of Computer Science and Engineering aims to build intelligent machines that can impersonate human cognitive functions, such as seeing, learning, and problem- solving. The learners will comprehend the basic AI-related terms such as Machine Learning, Deep Learning, and Expert Systems which will play a key role in the future of technology and science. This program is designed along with the Computer Science & Engineering core and more emphasis on AI and ML specialization.
This is a very practical engineering degree where you will develop AI apps and platforms to understand the role of AI in future technology. Students will learn strong problem solving and analytical skills in Artificial Intelligence and Machine Learning Course at KPR institute of Engineering and Technology By acquiring knowledge, Our students are undergone internship in IT industries that develop projects in the field of Web development, Application Software, Automation Software, Data analytics, Multimedia Software etc.,
Artificial Intelligence (AI) and Machine Learning (ML) in the field of Computer Science and Engineering aims to build intelligent machines that can impersonate human cognitive functions, such as seeing, learning, and problem- solving. The learners will comprehend the basic AI-related terms such as Machine Learning, Deep Learning, and Expert Systems which will play a key role in the future of technology and science. This program is designed along with the Computer Science & Engineering core and more emphasis on AI and ML specialization.
This is a very practical engineering degree where you will develop AI apps and platforms to understand the role of AI in future technology. Students will learn strong problem solving and analytical skills in Artificial Intelligence and Machine Learning Course at KPR institute of Engineering and Technology By acquiring knowledge, Our students are undergone internship in IT industries that develop projects in the field of Web development, Application Software, Automation Software, Data analytics, Multimedia Software etc.,
Vision and Mission
VISION
- Strive for excellence in Computer Science and Engineering producing competent professionals with
ethical values and social responsibility.
MISSION
The students will be able to achieve quality education by providing competent faculty members,
Innovative teaching – learning process, Computing facilities and Skill Development Training in the
field of Computer Science.M1: Attaining academic excellence through competent faculty, innovative teaching-learning process
and creating Centre of excellence in leading areas of Computer Science.
M2: To create ambiance for effective learning and skill development by promoting research culture
with industry institute interaction.
M3: To inculcate professionalism adherence to ethical and social values.
Programs Offered
B.Tech. – CSE(Artificial Intelligence & Machine Learning)
Program Educational Objectives (PEOs)
The Program Educational Objectives of the department of Computer Science and Engineering are
such that when the students graduate, they will be able to:
- PEO-1Become successful professional with ethical and social values.
- PEO-2 Pursue higher education in reputed institutions
- PEO-3 Become successful entrepreneur to serve the society with ethical and social values.
Program Outcomes (POs)
Engineering Graduates of CSE department of KEC will be able to:
- PO-1Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO-2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO-3 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.
- PO-4 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.
- PO-5 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.
- PO-6 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.
- PO-7 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.
- PO-8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO-9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO-10 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.
- PO-11 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.
- PO-12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes (PSOs):
- PSO1: Ability to design, analysis and develop computer program in the area related to web design, multimedia, algorithms and networking.
- PSO2: An ability to apply standard practices and strategies in software project development using open-sources.
Syllabus
CSE(Artificial Intelligence and Machine Learning)
- B.TECH-R20-Syllabus
- B.TECH-R19-Syllabus
- B-Tech_CSE_R15-Syllabus
- B-Tech-CSE-R13-Syllabus
Faculty Details
Laboratory Details
Artificial Intelligence and
Machine
Learning
Artificial Intelligence Lab
Machine Learning Lab
Deep Learning Lab