Teaching Faculty of CSE(AI&ML,DS) Prof.K.Selvani Deepthi, HOD of CSE(AI&ML,DS)
  • About Department
  • Vision and Mission
  • POs, PEOs, & PSOs
  •   About Department  

    Welcome to the Computer Science and Engineering(AI & ML, Data Science) at Anil Neerukonda Institute of Science and Technology.

    The Department has marked a steady growth in terms of human recourses, Laboratories and space. It has 22 qualified teachers (Meeting the norms of AICTE) who are having rich academic experience headed by Dr. K Selvani Deepthi with 17 years of experience in teaching.

    Programs Offered:


    1. B.Tech in CSE with AI&ML : Student Intake(180)
    2. B.Tech in CSE with Data Science : Student Intake(120)

    M.Tech

    1. Intake : 9
    2. Specialization : Data Science

    At ANITS, the education in Computer Science and Engineering with specialization of AI&ML,Data Science will provide you with the understanding and knowledge to grasp the drastic changing in technologies that impact your fascinating field. The undergraduate program is designed to reinforce student’s educational breadth with specialized areas such as Discrete Mathematical Structures, Digital Logic and Design, Design thinking and product Innovation,Data structures and Algorithms, Object Oriented Programming, Database Management systems,Artificial Intelligence,Machine Learning, Deep Learning , Network Security and Cryptography, Computer Graphics, web Technologies, Data Science, Introduction To Competitive Coding etc.

    ANITS CSE (AI&ML,DS) Department offers excellent opportunities for students to study state-of-the-art topics and perform state-of-the-art research. The students graduating from the department have the highest placement figures with excellent starting salaries. Companies like Amazon, Infosys, Virtusa, TCS, WIPRO, Oracle, IBM etc.

  •   VISION OF DEPARTMENT  
    To produce professionally competent, socially conscious ethical engineers to meet the needs of industry and the society.

      MISSION OF DEPARTMENT  
    The department mission is to
    1)Provide state of the art academic environment to produce self sustainable professionals.
    2)Impart high-quality, value-based education in cutting-edge technologies to solve real world problems
    3)Inculcate moral values and leadership skills to become holistic professionals.

  • PROGRAM SPECIFIC OUTCOMES (PSOs) - AI & ML

    1

    Apply Artificial Intelligence and Machine Learning concepts for development of intelligent systems and applications to multidisciplinary problems.
    2
    Develop and implement automated solutions that leverage AI and ML computing techniques to address current societal problems.

    PROGRAM SPECIFIC OUTCOMES (PSOs) - DATA SCIENCE(DS)

    1

    Apply suitable statistical models, tools and techniques to perform data analysis and visualization for effective decision making.
    2
    Apply standard and advanced data science concepts, practices, and strategies to develop sustainable products that leverage data science techniques for addressing prevalent societal problems..

    PROGRAM OUTCOMES (POs)

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    Graduate Attribute1:
    Engineering Knowledge
    1
    Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
    Graduate Attribute2:
    Problem Analysis
    2
    Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
    Graduate Attribute3:
    Design/Development of Solution
    PO-3
    Design, implement & test a computer based system, component or process that meet functional constraints such as public health and safety, cultural, societal and environmental considerations.
    Graduate Attribute4:
    Conduct Investigations of Complex Problems
    PO-4
    Apply computing knowledge to conduct experiments and solve complex problems, to analyze and interpret the results obtained within specified timeframe and financial constraints consistently.
    Graduate Attribute5:
    Modern Tool Usage
    PO-5
    Apply or create modern techniques and tools to solve engineering problems that demonstrate cognition of limitations involved in design choices.
    Graduate Attribute6:
    The Engineer and Society
    PO-6
    Apply contextual reason and assess the local and global impact of professional engineering practices on individuals, organizations and society.
    Graduate Attribute7:
    Environment and Sustainability
    PO-7
    Assess the impact of engineering practices on societal and environmental sustainability.
    Graduate Attribute8:
    Ethics
    PO-8
    Apply professional ethical practices and transform into good responsible citizens with social concern.
    Graduate Attribute9:
    Individual and Team Work
    PO-9
    Acquire capacity to understand and solve problems pertaining to various fields of engineering and be able to function effectively as an individual and as a member or leader in a team.
    Graduate Attribute10:
    Communication
    PO-10
    Communicate effectively with range of audiences in both oral and written forms through technical papers, seminars, presentations, assignments, project reports etc.
    Graduate Attribute11:
    Project Management and Finance
    PO-11
    Apply the knowledge of engineering, management and financial principles to develop and critically assess projects and their outcomes in multidisciplinary areas.
    Graduate Attribute12:
    Life-long Learning
    PO-12
    Recognize the need and prepare oneself for lifelong self learning to be abreast with rapidly changing technology.