Artificial Intelligence & Machine Learning
COMPUTER SCIENCE AND ENGINEERING

Vision

To emerge as a leading department in Technical Education and Research in Computer Science and Engineering, especially in Artificial Intelligence and Machine Learning domain with focus to produce professionally competent and socially sensitive engineers capable of working in global environment

Mission

  • To prepare Computer Science and Engineering in Artificial Intelligence and Machine Learning graduates to be lifelong learners with competence in basic sciences & engineering and professional core, multidisciplinary areas, with upcoming technologies, so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur.
  • To enable the graduates to use modern tools, to design and develop artificial intelligence enabled products and also communicate effectively with professional ethics.
  • To continuously engage in research and project development with financial management to promote scientific temper in the graduates and attain sustainability.

    • Program Outcomes

    • 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 modeling 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.

    Programme Specific Outcomes (PSOs)

    • Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.

    • Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.

    • To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain

    Program Educational Objectives (PEOs)

    • To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.

    • Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.

    • Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness

    Staff Member 1

    Dr.R.A.Khan

    Associate Professor

    Staff Member 1

    Ms.P.A.Joshi

    Assistant Professor

    Staff Member 1

    Dr.S.C.Nandedkar

    Assistant Professor

    Staff Member 1

    Ms.S.G Deshpandde

    Assistant Professor

    Staff Member 1

    Ms.Z.K Jouhar

    Assistant Professor

    Staff Member 1

    Mr.A.H.Rokade

    Assistant Professor

    Staff Member 1

    Ms.S.J.Tuppad

    Assistant Professor

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    IMG_6161-1024x768
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    IMG_6168-1024x768

    DR. B. A. T. UNIVERSITY RESULT ANALYSIS

    A. Y. 2022-23CLASS:-SY (AIML)EXAM EVENT: SEM I

    LIST OF TOPPER STUDENTS

    SR.NO.PRN OF STUDENTNAME OF STUDENTSGPA (OUT OF 10)
    12121141911016DUSANE POOJA RAMAKANT8.08
    22121141911017JEJURKAR POOJA SUBHASH8
    32121141911004DONGARE NIKITA VITTHAL7.88
    42121141911058KAPGATE NEHAL SURESH7.58
    52121141911022MOHAMMED REHAN MOHAMMED ILYAS7.58
    62121141911019VAIDYA SUMIT SUBHASH7.54
    72121141911015SHAIKH WASEEM ASIF7.5
    82121141911018SHINGATE VISHAL RAJENDRA7.42
    92221141911505GHARE MOHINI UDDHAV7.38
    102121141911066SATHE SHRAVANI RAHUL7.33

    2022-23

    Sr. No.Name of the CompanyClassDate of Industrial Visit (DD/MM/YY)Number of Benificiries
    1Aurangabad Smart CityTY18/05/2022150

    Guest Lectures

    2023-24

    Guest Lectures

    2022-23

    Sr.noName of Resource PersonDesignation & Name of organizationClassDateTopic
    1Mr. Yashwant MangateAssociate Software Engineer, Codia LLP, PuneB. Tech09-05-2023GIT and GIT Hub
    2Mr. Ashutosh BhakareDirector, Unnati Development and Training Center Pvt. Ltd, Chh SambhajinagarB. Tech10-02-2023TensorFlow Session
    3Mr. Naman GuptaZbytes Growth and Partnership. Pune, Maharashtra. 411045SY, TY, B.Tech25 to 26 sept 2023web3 and blockchain virtual session
    4Prof. Vijay TondonUniversal AI University, Karjat, MumbaiB. Tech10-06-2023Building universal skill
    5Ms. Vaishnavi MishraTeaching Assistant, Delhi Technical University, New DelhiB. Tech10-09-2023Career Opportunities in the field of AI

    Sr.no

    		Name of Resource PersonDesignation & Name of organizationClassDateTopic
    1Mr. Deek ParassiniFounder,LIAP Foundation,Chennai, Tamil NaduTY&SY(AIML)4/13/2023Tips, Strategies, and priceless Life Lessons
    2Mr.Mustafa BaquariSenior Software Engg, Google ,BangaloreSY(AIML)9/15/2022Processes flow of placment
    3Mr.Mohteshim wahaj KhanIntegrated devoloper in system engineer,Infosys,PuneSY(AIML)9/28/2022Role of AIML in Technology,in Infosys
    4Mr.Ashitosh BhakareDirector,Unnati devolopment and training centre,Auranbgabad.TY(AI&ML)9/28/2022Role of Linux in the field of AIML
    5Mr.Yashodip GaikwadFree Lancer,in Java,Python and Spring bootTY(AI&ML)10/17/2022Role of spring boot ,java in AIML
    6Dr.Sanjeev  PipalProgram Director,MGM University.SY(AIML)12/21/2022Softs skill development
    7Dr.Smita AvcharHOD Sociiology Dept.,DrBAMU Aurangabad.TY&SY(AIML)11/25/2022Need of Social Awairness Among  youth
    8Mr.Yash BalvirJunior data scientist at Curls AnalystTY(AI&ML)5/6/2023Application of Artificial intelegence
    9Shriniwas KulkarniM.tech BHU,British Telecom,BangaloreTY(AI&ML)3/23/2023Data Science

     

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    Vision

    To emerge as a leading department in Technical Education and Research in Computer Science and Engineering, especially in Artificial Intelligence and Machine Learning domain with focus to produce professionally competent and socially sensitive engineers capable of working in global environment

    Mission

  • To prepare Computer Science and Engineering in Artificial Intelligence and Machine Learning graduates to be lifelong learners with competence in basic sciences & engineering and professional core, multidisciplinary areas, with upcoming technologies, so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur.
  • To enable the graduates to use modern tools, to design and develop artificial intelligence enabled products and also communicate effectively with professional ethics.
  • To continuously engage in research and project development with financial management to promote scientific temper in the graduates and attain sustainability.

    • Program Outcomes

    • 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 modeling 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.

    Programme Specific Outcomes (PSOs)

    • Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.

    • Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.

    • To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain

    Program Educational Objectives (PEOs)

    • To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.

    • Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.

    • Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness

    Staff Member 1

    Dr.R.A.Khan

    Associate Professor

    Staff Member 1

    Ms.P.A.Joshi

    Assistant Professor

    Staff Member 1

    Dr.S.C.Nandedkar

    Assistant Professor

    Staff Member 1

    Ms.S.G Deshpandde

    Assistant Professor

    Staff Member 1

    Ms.Z.K Jouhar

    Assistant Professor

    Staff Member 1

    Mr.A.H.Rokade

    Assistant Professor

    Staff Member 1

    Ms.S.J.Tuppad

    Assistant Professor