Department of CSE(Artificial Intelligence & Machine Learning)

Help build the future of computing

The Department of CSE(Artificial Intelligence & Machine Learning)

Is for students...

who are innovative thinkers and for those who want to master the world of technology. Students should have strong mathematical and analytical skills to understand how digital technologies can be used as drivers of innovation. This course provides a cutting-edge exploration of programming, mathematics, and analytics to create out-of-the-box designs with digital technologies necessary to drive innovation across borders and sectors.

Courses offered

  • BE in CSE (Artificial Intelligence & Machine Learning) — 120 intake

Why Aritificial Intelligence & Machine Learning?

Artificial Intelligence (AI) is a new and upcoming program in the area of computer science that is rapidly expanding its boundaries to variety of fields like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more. AI and its applications have brought significant changes in our lives. AI tries to bring in intelligence into machines artificially by mimicking the human intelligence. Machine learning (ML) is an application of AI that tries to build self-learning ability into the machines. AI and ML are important drivers of digital transformation and have created plenty of job opportunities. There is a huge demand for skilled engineers trained in these technologies. A Degree in this program is valuable and makes the student industry relevant.

Course Overiew

We offer a 4 year B.E program in CSE(Artificial Intelligence and Machine learning) which covers fundamentals of computer science courses along with necessary courses pertaining to AI and ML. This course helps to gain primary knowledge and skills in mathematics, network architectures. computer vision, programming, ,communication networks, and machine learning subjects such as, natural language processing, image analysis, text analytics and their applications in areas from vision to automated reasoning where machine learning techniques are applicable.

First year – The students study the subjects that are common to all the engineering disciplines.

Second year – Core subjects in Computer Science such as Data Structures, Computer Organization, Data communication and Computer Networks, Discrete Mathematics, Automata Theory, Analysis and Design of Algorithms, Signals and Linear Systems, Operating Systems, Database Management, AI with Python etc.

Third and fourth year consists of advanced subjects pertaining to Artificial Intelligence and Machine Learning such as Machine Leaning with Deep Learning, Computer graphics and Visualization, Big Data, Advanced statistics, Image processing, Pattern recognition, Internet of Things, Cloud Computing, Reinforcement Learning etc. The course includes mini project, internship and major projects.

Career Opportunities

Artificial Intelligence and Machine learning has created several roles like Data Engineer, Automation and Optimization Engineer, Natural Language Processing Scientist, Game developer, Robotics Professional, Research Scientist, Machine Learning developer, AI Consultant, Machine Learning Architect for expert professional in major organizations.


To develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.



  1. Provide profound learning through proficient staff and state of the art infrastructure
  2. Promote professional environment to imbibe ethical values and entrepreneurial skills
  3. Encourage research & development by emphasizing on innovation
  4. Facilitate Industry-Institute collaboration for mutual benefit

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    +91 821 4276200
    Course Duration (years)
    Students Placed

    Program Educational Objectives (PEO’s)

    Our graduates will

    PEO1: Sustain a successful career by providing solutions to societal needs

    PEO2: Enhance the leadership qualities and ethical values to work efficiently in multi-
    disciplinary environments

    PEO3: Explore research opportunities and embrace lifelong learning to meet the
    advancements in Technology

    Program specific outcomes (PSO)

    Our graduates will

    PSO1: Analyze, Design, Implement and Test  Complex Systems by applying suitable algorithms, data structures and object-oriented technology.

    PSO2: Apply appropriate tools and techniques of Communication and Security to provide reliable solutions.

    PSO3: Demonstrate the knowledge of Artificial Intelligence, Machine Learning and Data Engineering by designing and developing intelligent systems.

    Program Outcomes (PO’s) based on NBA graduate attributes

    Engineering Graduates will be able to:

    1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering, fundamentals, and an engineering specialization to the solution of complex engineering problems.
    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.
    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.
    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.
    5. Modern tool usage: Create, 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.
    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.
    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.
    8. Ethics: Apply ethical principles and commit professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    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.
    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 Multi-disciplinary environments.
    12. Lifelong learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

    Teaching Staff

    AIML-Faculty List
    Dr. Chethan B K
    Associate Professor & I/c HOD B.E, M.Tech, Ph.D.
    Vijay C P
    Assistant Professor B.E, M.Tech.
    Rohith V
    Assistant Professor B.E., M.Tech.
    Latha D U
    Assistant Professor B.E, M.Tech.
    Dr. Varshitha D N
    Assistant Professor B.E, M.Tech.Ph.D.
    Seema H R
    Assistant Professor B.E., M.Tech.
    Sowmya G V
    Assistant Professor B.E., M.Tech.
    Assistant Professor BE, M.Tech.
    Anjali R
    Assistant Professor B.E., M.Tech.
    Lakshmi R
    Assistant Professor B.E., M.Tech.
    Sheeban E Tamanna
    Assistant Professor B.E, M.Tech.
    Dr. Sonali Nandish Manoli
    Assistant Professor B.E, M.Tech.Ph.D.
    Arpitha M S
    Assistant Professor B.E., M.Tech.
    Supriya M
    Assistant Professor B.E., M.Tech.
    Prashanth N
    Assistant Professor B.E., M.Tech.
    Harshith C
    Assistant Professor B.E., M.Tech. (Ph.D)

    Non-Teaching Staff

    Ravi K
    Instructor B.E in CSE
    Assistant instructor Diploma in CSE
    Gayatri V
    Instructor/Supervisor B.E (CSE)

    Year Wise Placements

    See the list of campus selected students in the previous years below:

    Funding Proposals

    Sl. no. Project Title Funding Agency PI / CoPIs IRG in Lakh Rs. Date of Submission Status
    1 Development of Infrastructure to establish a Laboratory in Artificial Intelligence for Agriculture, Horticulture and Healthcare based applications VGST Scheme under Karnataka Fund for Infrastructure Strengthening in Science & Technology (K-FIST LI). Dr. Vinutha D C, Mr. Vijay C P 13,78,672 23/02/2022 Submitted
    2 Artificial Intelligence and Machine Learning for IoT Based Application VGST Scheme for Faculty Development Programme Dr. Vinutha D C, Mr. Vijay C P 3,38,000 23/02/2022 Submitted
    3 Funding for conducting workshop on “Data Analytics using Python” KSTA Mr. Vijay C P 20,000 30-01-2022 Sanctioned

    Paper Publications

    Sl. No. Name of Faculty Title National/International Journal UGC CARE-II Journal/SCI/Web of Science/Springer/Scopus Year of publication
    1 Dr. Vinutha D. C. Artificial Intelligence for Innovative Practices in Education System International International Journal of Research Trends in Computer Science & Information Technology (IJRTCSIT) 2020
    2 An improved feature selection approach for chronic heart disease detection International Journal of Open Access: Bulletin of Electrical Engineering and Informatics 2021
    3 Budget Constraint Scheduler for Big Data Using Hadoop MapReduce International Journal of SN Computer Science 2021
    4 Optimization of RFM for automated breast cancer detection International International Journal of Health Sciences 2022
    5 An Optimized Clustering Approach for Automated Detection of Abnormalities in MRI Brain Images International International Journal of Health Sciences, 2022 2022











    HoD’s Chamber
    Dept. Library

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      +91 821 427 6238
      Dr. Pooja M R
      Associate Professor & PG Coordinator
      0821 427 6238
      Course Duration (years)

      Contact us

      Get in touch with us. We are always happy to help you out

      Dr. Vinutha D. C.
      Professor & Head
      Department of CSE(Artificial Intelligence & Machine Learning)
      Vidyavardhaka College of Engineering
      P.B.No.206, Gokulam III Stage,
      Mysuru – 570002, Karnataka, INDIA
      Phone: 0821-4276326
      Fax: 0821-2510677

      Coding Competition

      State Level Coding Competition – CodeHunt 2K23

      State Level Coding Competition – CodeHunt 2K23

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      Organized State Level Coding Competition – CodeHunt 2K22

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      Research & Publications

      FDP-Faculty interaction on Research & Publications

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      Embedded AI

      3-FDP-Five-days training on Embedded AI

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      Two-day FDP on “AI in IoT and Computer Vision” sponsored by KSTA and VVCE, ISTE Chapter on 29th and 30th of July 2022

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      Other Activities

      Activity Details 2023-24

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      Model Building Activity

      4th sem Students of CSE(AI&ML) Participated in Model Building Activity. Students took real time challenges, created models and solved using various algorithms. This activity helped them to understand algorithms and its implementation in solving real time problems.

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      Industrial visit-Cyberverse

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      Visited Infosys Campus

      3rd sem Students of CSE(AI&ML) visited Infosys Campus, Mysuru as part of Industrial visit on 06th March 2023

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      Outreach activity

      Conducted Outreach activity in association Hithasristi club at Govt. High School, Brindavan Extension, Mysore on 09th Jan 2023

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      Student Achievements

      Student Achievements

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      Student Internship

      Student Internship

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      Technical Talks

      Job readiness by IBM Skills Build

      Technical Talk-Job readiness workshop by IBM Skills Build

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      Technical Talk on AR/VR Technology

      Technical Talk on AR/VR Technology for 5th semester students on 06th Dec, 2022

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      Technical Talk on Emotional Intelligence

      Technical Talk on Emotional Intelligence for 3rd semester students on 26th Dec, 20222

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      Technical Paper Writing Skills and Technical Project Execution

      Technical Talk on “Technical Paper Writing Skills and Technical Project Execution” on 25th of January 2023 - Dr Sriram, Chair IEEE-EMBS, Bangalore Chapter Professor, Dept of Medical Electronics MSRIT, Bangalore

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      TT-Data Structures

      Technical Talk on “Data Structures” on 23rd Feb 2023 – Mr. Deepak B S, Specialist, ETA (Education Training & Assessment), Infosys, Mysuru

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      Data Analytics using Python

      Two-day workshop conducted on “Data Analytics using Python” on 30th Sep 2022 and 01st Oct 2022 - Dr. Vinutha D C, Prof. Vijay C P, Mr. Shivakumar M, Ms. Soujanya R

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      Network Simulation Using NS2

      One-day Workshop conducted on “Network Simulation Using NS2” on 21st Jan 2023 - Dr. Gururaj H L, Associate Professor, Dept of IT, Manipal Institute of Technology, Bengaluru

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      End-to-End Machine Learning Bootcamp

      One-day workshop on End-to-End Machine Learning Bootcamp on 23rd December 2022 - Mr. Hemanth Kumar A, Senior Data Scientist, Brillio Technologies Pvt. Ltd.

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      Object Oriented Concepts: An Industry Approach

      Two-day Workshop on “Object Oriented Concepts: An Industry Approach” on 24th & 25th of January 2023 - was Mr. Shreenath Waramballi, Corporate Trainer

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      Embedded AI

      Five days Training on “Embedded AI “from 27th Feb 2023 to 3rd March 2023 by Trainer from Digitoad Technologies Pvt. Ltd., Bengaluru

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      Admissions for 2021-22 now open.
      CET Code: E071 | COMED-K Code: E147
      Apply now