Artificial Intelligence and Data Science (AI&DS)

Overview

Department of Artificial Intelligence aims to produce computing graduates with high potency, apply, design and develop systems to pertain and to integrate both software and hardware devices, utilize modern approaches in programming and problem solving techniques. The Department was established in the year 2020 with the main objective of providing quality education in the field of Engineering and Technology. It is recognized as nodal center under Anna University. The Department has proved to be a center of excellence in Academic, Sponsored research and Continuing Education Programme.

Message from HOD

Dr.P.Visu., M.E., Ph.D
Professor and Head, Dept of Artificial Intelligence and Data Science

I feel privileged to be leading a team of committed, talented and experienced faculty members. AI & DS is the most conspicuous technology that is instrumental in transforming the facet of industry and mankind. This course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of Machine Learning, Deep Learning, Analytics and Visualization technologies.

Our department aims to produce skilled professional in the domain of AI and DS and enable them to excel professionally. It also provides state of the art laboratory facilities to the students to get better practical exposure and strong ties with industry, research organizations and the community at large.

Why Artificial Intelligence at VEC

The Department is equipped with the state-of-the art laboratories. It is accredited by AICTE in the year 2020 for 3 years

Highlights of VEC

The Department offers course on Under Graduate and Post Graduate Programme in Engineering with the total strength of 700 which is highest in number.

Our Laurels

Extracurricular and Technical activities like Symposium, Conference Entrepreneurship cell events for students.

The Department is equipped with the state-of-the art laboratories. It is Accredited by NBA-AICTE in the year 2019 for 3 years (2002 for 3 years, 2007 for 3 years,2012 for 2 years, 2016 for 3 years).

Good placement record where 95% of students are placed in various product based and service oriented companies. Highest package of 10L from Amazon.

The Department holds maximum of 126 UG and 32 PG University Rank holders to the minimum of 12 UG and 5 PG per batch.

Higher Studies in top universities with a record of 81 students in the last 5 years.

Well trained, highly qualified and eminent Faculty members.

Industrial visit to both Government and private sectors like BSNL, CTS, Pentamedia Graphics to name a few.

COLLEGE VISION

To educate the student community both by theory and practice to fit in with the society and to conquer tomorrow’s technology at global level with human values through our dedicated team

COLLEGE MISSION

“To provide world class education in engineering, technology and management, to foster research & development, to encourage creativity & promote innovation, to build leadership, intrapreneurship and entrepreneurship and to nurture teamwork and achieve stakeholders delight”.

DEPARTMENT VISION

“To achieve value based education and bring idealistic, ethical engineers to meet the thriving trends and technology in the field of Artificial Intelligence and Data Science”.

DEPARTMENT MISSION

  • To engage students with the core competence to solve real world problems using Artificial Intelligence.
  • To enlighten students into technically proficient engineers through innovation in Data Science.
  • To involve students with industry collaboration, career guidance and leadership skills.
  • To mould students as ethical professionals to bring morals to individual and society.

PROGRAM OUTCOMES

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, research literature, and analyse 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 public health and safety, and 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, select, and apply appropriate techniques, resources, and modern engineering and AI and Data Science tools, including prediction and modelling 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 to 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 the 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 multidisciplinary environments.
  12. 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.

Program Specific Outcomes

PSO1   : Apply the concepts of Artificial Intelligence to provide solutions for the real time problems and to integrate the professional skills with recent tools and technologies to cope with the dynamic AI needs.

PSO2   : Create a concrete foundation and enlighten the innovation, research and entrepreneur skills in the field of Artificial Intelligence and Data science.

Computer Science and Engineering Placements

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  • The ideology of our department is to make company ready graduates meeting industrial expectation.
  • Our department gained a niche Trusted Global Service spectrum among the student community that extended beyond Teaching, Training, Consulting, and Automation.
  • Companies like L&T infotech, ZOHO, Microsoft, Amazon etc. hire our students with highest package.
  • Our department holds the record of 99% placement in the year 2019 and 86 % placement for the 2020.
  • Higher Studies in top universities abroad like, University of Illinois Chicago, University of COLORODA Denver, University of Texas Dallas to name a few.

Key Recruiters

Syllabus

Key Highlights

  • Elective and Core topics included in the Syllabus are
  • UG - (Data Science, Machine Learning, Artificial Intelligence , Data Exploration Using R, Neural Networks, IoT, Deep Learning, Big Data Analytics, Health Care Analytics, Augmented Reality and Virtual Reality, Reinforcement Learning, Cognitive Science and Analysis, Edge and Fog Computing, Block Chain Technology)
  • It makes the student to learn, design and analyse various Machine Learning applications
  • The syllabus also includes topics like Data Science, Machine Learning and programming languages like Python, R, C, OOPs concepts, Web Technologies.
  • Provides deeper learning on the various topics of data science, AI and deep Learning.
  • Artificial Intelligence and Data Science syllabus involves the design, anlayse and understanding of computational process and programming languages.
  • The syllabus includes topics such as the algorithms, programming languages, operating systems, database management systems, computer network, computer graphics and artificial intelligence
  • Fortnightly Group Mentorship with Industry mentors
  • Bachelor’s Degree with 50% Or Equivalent passing marks. No coding experience required

  • Six Unique Specialisation to choose from:
  • Block Chain Technologies
  • Artificial Intelligence
  • Data Science
  • Big Data Management
  • Social Network Analysis
  • Text Analytics

The Pillars of Computer Science and Engineering

We ensure our students hone their skills in the best learning environment.

  • We ensure our students hone their skills in the best learning environment. We department of AI & DS have a great faculty team with 1 Professor, 5 Assistant Professors out of which 1 Doctorates and 2 pursuing PhDs and 3 Post graduates with high experience.
  • Our Faculty team excel in paper publications both International Conferences and Journals. The team has also involved in getting funded projects from funding agencies like AICTE,ISRO

  • Artificial Intelligence and Data Science curriculum involves the design and understanding of computational process and programming languages.
  • The syllabus includes topics such as the algorithms, programming languages, operating systems, database management systems, data science , deep learning, data exploration, machine learning and artificial intelligence.
  • After the completion of the degree in Artificial Intelligence and Data Science, student can work in the field of database management, embedded systems, IT, telecommunication, multimedia, computer hardware & software implementation, computer hardware & software maintenance, gaming, web designing, data analytics, data scientist and other related industries.
  • It is a broad field to work in private and government sector as well.

  • The ideology of our department is to make company ready graduates meeting
    industrial expectation.
  • Increase in product offers year after makes our students be more confident.
  • Our department gained a niche Trusted Global Service spectrum among the student
    community that extended beyond Teaching, Training, Consulting, Analytics and Automation.

  • Our department have 5 spacious class rooms for UG
  • We have 2 faculty rooms providing separate cabins for professors and our department has a separate meeting hall.
  • The department has 2 domain specific labs exclusively for UG.

  • Industrial Visit
  • Project Presentation
  • Internships to IT companies like TCS, Wipro
  • Value added Courses on latest technologies
  • Guest Lectures
  • MOU with Companies.

Glimpses from Top Notch Infrastructure

We ensure our students hone their skills in the best learning environment.
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Our Alumni

SUSHMAA R R 2014-18

CTS, SIFY 6.5 LPA

VINOTH-M 2014-18

SCIENTIFIC GAMES 5.4 LPA

VAISHNAVI R 2014-18

CTS, INFOSYS & WIPRO 4.00 / 3.80 /3.50 LPA

VENKATESH K 2014-18

OFS, SMACAR 3.50 & 5.00 LPA

SHARON-JENNIFER-E 2014-18

AMAZON, CLUSTERX 4.00 & 3.50 LPA

VIGNESH N 2015-19

AMAZON INDIA 10.0 LPA

SHYAM SUNDER S 2015-19

ZOHO 6.6 LPA

KRISHNAAMIRTHALAXMI V S 2015-19

HSBC BANK 7.0 LPA

PUGHAZHENTHI R R 2015-19

SCIENTIFIC GAMES, TATA ELAXSI 5.50 / 3.50 LPA

GREVAS TIMI L 2015-19

VERIZON, VERNALIS 5.50 / 3.50 LPA

AISWARYA P NAIR 2015-19

INFOSYS, CTS 3.80 / 4.00 LPA

MANI BHARATHI R 2016-20

GAIN CREDIT 9.0 LPA

SARVESWARAN P 2016-20

SIRIUS 6.25 LPA

NOORJAHAN REEZA A 2016-20

VERIZON, HCL(R&D) 5.5LPA

BALA SURIYA S 2016-20

KAAR, CTS, INFOSYS & WIPRO 5.00 / 4.00 / 3.80 / 3.50 LPA

SURYAPRABHAHARAN M 2016-20

FRESHWORKS, CTS, INFOSYS 5.50 / 4.00 / 3.80 LPA

RAHHNI M 2016-20

CTS, INFOSYS & WIPRO 4.00 / 3.80 / 3.50 LPA

SWAATHEE R 2011-13

MICROSOFT 24.00 LPA Currently in Microsoft, US

MADAN KAPOOR, MANITH KAPOOR, RAHUL S, SHIVA S 2014-18

CODA GLOBAL 8.10 LPA

RAHUL. A 2013-17

AMAZON INDIA 10 LPA

AMIRTHAVARSHINI L J 2013-17

HSBC, INDIA 11 LPA Currently Perusing Masters in IIM, Kolkatta

    Faculty

    Our Faculties are true professionals who have the capacity to raise incisive, difficult and sometimes uncomfortable questions that become potential GAME CHANGER. Our Faculty members consider teaching and training of new generation of graduate students as their highest calling.

    Dr.P.Visu M.E.,Ph.D Professor & Head
    Mrs.A.Prema M.E., Assistant Professor
    Mrs.S.Saranya M.E., Assistant Professor
    Mrs.P.V.Raja suganya M.E., Assistant Professor
    Mrs.R.Kavitha M.E., Assistant Professor
    Mrs.T.Hannah Rose Esther M.E., Assistant Professor

      Computer Science Engineering FaQs

      • The faculty team of the department of AI & DS comprises 1 Professor,
        5 Assistant Professors out of which 1 Doctorates and 2 pursuing PhDs and 3 Post
        graduates with high experience.
      • Our Faculty team excel in publishing research paper publications both in International Conferences and Journals
      • The team is also involved in getting funded projects from funding agencies like AICTE,ISRO.

      The curriculum is designed in such a way that it will enable the students to solve many everyday problems through various applications in Data science. The design will be able to solve solution-oriented applications which help to obtain solutions over real world problems. Design of Curriculum through Autonomy and updating of Syllabi in line with latest technology so as to meet Industrial needs. Subjects are grouped and designed based on the domain. Mini-Projects in Undergraduate Programme.

      • The ideology of our department is to make company ready graduates meeting industrial expectations. 
      • Our department gained a niche in the Trusted Global Service spectrum among the student community as it extended beyond Teaching, Training, Consulting, and Automation.
      • Companies like L&T infotech, ZOHO, Microsoft, Amazon etc. hire our students with offers of the highest package.
      • Our department have 5 spacious class rooms for UG
      • We have 2 faculty rooms providing separate cabins for professors and our department has a separate meeting hall.
      • The department has 2 domain specific labs exclusively for UG.
      • Highest Committed student branch activist” award from CSI.
      • NCC, NSS and YRC activities by involving in social awareness activities like Swachh Bharat Campaign, Stem Cell Donation, Dengue Awareness Campaign.
      • App for Blood donation for YRC – VEC team
      • Industrial Visit
      • Project Presentation
      • Internships to IT companies like TCS, Wipro
      • Value added Courses on latest technologies
      • Guest Lectures 
      • MOU with Companies.

      Our Campus

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      The Pillars of Civil Engineering

      Educational edifice with lakhs of students, hundreds of teachers and several top-notch institutions growing under our umbrella.

      Engineering & Medical

      Besides K12 education institutions, we also serve the higher education segment with prestigious Velammal Engineering College and Velammal Medical College, Hospital & Research center.

      Industry Leaders

      Velammal Engineering College was established in the year 1995-96 to impart quality education. It is a self-financing non-minority institution, affiliated to Anna University and approved by the All India Council for Technical Education (AICTE) and also an ISO-certified institution.

      Five years back Velammal Group made its foray into healthcare, and within this short span, Velammal Medical College Hospital with its state-of-the-art infrastructure, expert medical team, and paramedical staff have contributed substantially to the growth of a healthy community in Madurai & southern districts.

      Engineering & Medical

      • Besides K12 education institutions, we also serve the higher education segment with prestigious Velammal Engineering College and Velammal Medical College, Hospital & Research center.

      Industry Leaders

      • Velammal Engineering College was established in the year 1995-96 to impart quality education. It is a self-financing non-minority institution, affiliated to Anna University and approved by the All India Council for Technical Education (AICTE) and also an ISO-certified institution.
      • Five years back Velammal Group made its foray into healthcare, and within this short span, Velammal Medical College Hospital with its state-of-the-art infrastructure, expert medical team, and paramedical staff have contributed substantially to the growth of a healthy community in Madurai & southern districts.

      • Spread over 110 acres of pristine landscape, this is a one-of-its-kind Medical College with a ‘Teaching Hospital’ project in-country. The Campus is situated in a pollution-free environment that will be housing a 12000-bed teaching hospital, residential quarters for the staff, separate hostels for boys and girls and appealing landscaped gardens.
      • The entire construction is designed to suit emerging trends in the global healthcare sector. The Medical College is located on one wing and the hospital on the other wing of the campus. The teaching hospital and Dental College, Physiotherapy and Paramedical Institutions, Nursing School, Nursing College and College of Medical Lab Technology are in the other block of the project.
      • The Velammal Medical College Hospital and Research Institute is designed as a multidisciplinary medical hub that’s attached with a medical college and its teaching hospital. Enough space is allocated for allied facilities like dental college and hospital, nursing college, school of nursing, and the institute of paramedical science.

      Admissions Open!

      Process and Imp. Dates

      • Completely Online Paper-less Process due to COVID-19
      • Fill the form on the page to receive the registration link on your email.
      • Upload the necessary documents and proceed for payment.
      • You will be intimated about the selection procedure on the basis of the class opted for.

      Apply for Admission

        Register Online Enquiry