keshav memorial institute of technology

An Autonomous Institution - Accredited by NAAC with 'A' Grade
( Powered by GENESIS )

** B.TECH  II YR II SEM  & III YR II SEM SPECIAL SUPPLY EXAMINATIONS IN MAY-2022 FOR 2011 ADMITTED STUDENTS. You can view the NOTIFICATION here **KMIT is pleased to announce that it was classified as Promising by Atal Ranking of Institutions on Innovation Achievement (ARIIA). You can view the certificate here ** NBA has accredited CSE UG Program for 3 academic years 2021-22 to 2023-24. **B.Tech I year II Sem Sept/Oct 2021 Regular exam results are released. To check results Click Here  **KMIT  is proud to announce it's third college Keshav Memorial Engineering college @NGIT campus Uppal, CSE - 180, CSE AIML - 120 (EAMCET code KMEC) **Four project proposals by our students Nischal Singhi, Srinivas Yadav, Akash Konda, and P Sai Varshith were accepted by GSoC. Congratulations and best wishes to them. To know more

  **One Week Online Workshop on "Privacy and Cyber Security" from 31-01-2022 to 5-02-2022, in association with CSI. To know more click here  **KMIT  is proud to announce it's third college Keshav Memorial Engineering college @NGIT campus Uppal, CSE - 180, CSE AIML - 120 (EAMCET code KMEC) **Four project proposals by our students Nischal Singhi, Srinivas Yadav, Akash Konda, and P Sai Varshith were accepted by GSoC. Congratulations and best wishes to them. To know more

About Artificial Intelligence & Machine Learning

This 4 year undergraduate course of Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning is designed to make the professional technically sound in advanced learning systems that are based on algorithm of Artificial Intelligence.

KMIT offers a four-year under-graduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.

The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. Proficiency in mathematics will thrive, as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, and computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.

Vision of the Department

To be among the region's premier teaching and research Computer Science and Engineering departments producing globally competent and socially responsible graduates in the most conducive academic environment.

Mission of the Department
  • To provide faculty with state of the art facilities for continuous professional development and research, both in foundational aspects and of relevance to emerging computing trends.

  • To impart skills that transform students to develop technical solutions for societal needs and inculcate entrepreneurial talents.

  • To inculcate an ability in students to pursue the advancement of knowledge in various specializations of Computer Science and Engineering and make them industry-ready.

  • To engage in collaborative research with academia and industry and generate adequate resources for research activities for seamless transfer of knowledge resulting in sponsored projects and consultancy.

  • To cultivate responsibility through sharing of knowledge and innovative computing solutions that benefit the society-at-large.

  • To collaborate with academia, industry and community to set high standards in academic excellence and in fulfilling societal responsibilities.

Program Educational Objectives (PEOs)
  • Graduates will have successful careers in computer related engineering fields or will be able to successfully pursue advanced higher education degrees.

  • Graduates will try and provide solutions to challenging problems in their profession by applying computer engineering principles.

  • Graduates will engage in life-long learning and professional development by rapidly adapting changing work environment.

  • Graduates will communicate effectively, work collaboratively and exhibit high levels of professionalism and ethical responsibility.

Programme Outcomes (POs)
  • Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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

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

  • 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.

  • 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.

  • 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.

List of Program Specific Outcome's (PSO's)
  • An ability to analyze the common business functions to design and develop appropriate Computer Science solutions for social upliftments.

  • Shall have expertise on the evolving technologies like Python, Machine Learning, Deep Learning, Internet of Things (IOT), Data Science, Full stack development, Social Networks, Cyber Security, Big Data, Mobile Apps, CRM, ERP eetc.