{"id":573,"date":"2026-02-08T19:25:15","date_gmt":"2026-02-08T19:25:15","guid":{"rendered":"https:\/\/shec.ac.in\/newsite\/?page_id=573"},"modified":"2026-02-08T19:34:41","modified_gmt":"2026-02-08T19:34:41","slug":"cse-aids-department","status":"publish","type":"page","link":"https:\/\/shec.ac.in\/newsite\/cse-aids-department\/","title":{"rendered":"Department of Computer Science and Engineering (Artificial Intelligence & Data Science) (CSE-AI & DS)"},"content":{"rendered":"

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\n Vision & Mission<\/a>
\n PO’s<\/a>
\n PEO’s<\/a>
\n PSO’s<\/a>
\n Faculty List<\/a>
\n Syllabus<\/a>
\n Exam Notification<\/a>
\n Previous Question Papers<\/a>\n <\/div>\n<\/p><\/div>\n

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Department of Computer Science and Engineering (Artificial Intelligence & Data Science): Data Meets Intelligence<\/span><\/h2>\n

At Sri Harshini College of Engineering and Technology for Women, our CSE (Artificial Intelligence & Data Science) department empowers women technologists with expertise in both AI and data science. We combine strong foundations in computer science with specialized training in data analytics, machine learning, statistical modeling, and big data technologies, preparing students to build data-driven and intelligent solutions for industry, research, and society.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n

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Why Choose CSE-AI&DS at Sri Harshini?<\/h3>\n

Our CSE-AI&DS program offers a unique blend of artificial intelligence and data science, covering statistical analysis, data visualization, predictive modeling, machine learning, deep learning, and big data platforms. Students work in labs equipped with modern analytics and ML tools, gaining hands-on experience in extracting insights from data and building intelligent systems for real-world applications.<\/p>\n

We emphasize project-based learning through industry datasets, hackathons, and research projects in collaboration with our data science and AI labs. Students develop portfolios in areas such as business analytics, computer vision, natural language processing, and scalable data pipelines. Strong industry connections provide internships and placement opportunities in roles such as data scientist, ML engineer, and analytics consultant.<\/p>\n

With a focus on women’s leadership in AI and data science, we nurture analytical thinking, ethical use of data, and communication skills. Our graduates are prepared to excel in sectors ranging from fintech and healthcare to e-commerce and smart cities, driving innovation through data-driven decision-making.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n

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Vision & Mission<\/h3>\n
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VISION<\/h4>\n

To emerge as a center of excellence in Artificial Intelligence and Data Science, empowering women graduates with strong analytical skills, ethical values, innovative thinking, and lifelong learning abilities to develop data-driven and intelligent solutions for industry, research, and societal advancement.<\/p>\n

MISSION<\/h4>\n
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  • To provide strong foundations and practical skills in Artificial Intelligence, Data Science, and core computer science through effective teaching and modern learning resources.<\/li>\n
  • To encourage innovation, problem solving, and continuous learning by engaging students in projects, research activities, and emerging data-driven technologies.<\/li>\n
  • To prepare women students for successful careers and higher studies by nurturing professional competence, ethical values, and social responsibility.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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    PO’s (Program Outcomes)<\/h3>\n
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    • PO1 \u2014 Engineering Knowledge:<\/strong> Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.<\/li>\n
    • PO2 \u2014 Problem Analysis:<\/strong> Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using principles of mathematics, natural sciences, and engineering sciences.<\/li>\n
    • PO3 \u2014 Design\/Development of Solutions:<\/strong> Design solutions for complex engineering problems and design system components or processes to meet specified needs considering public health, safety, cultural, societal, and environmental aspects.<\/li>\n
    • PO4 \u2014 Conduct Investigations of Complex Problems:<\/strong> Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data to provide valid conclusions.<\/li>\n
    • PO5 \u2014 Modern Tool Usage:<\/strong> Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools to complex engineering activities, with an understanding of their limitations.<\/li>\n
    • PO6 \u2014 The Engineer and Society:<\/strong> Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.<\/li>\n
    • PO7 \u2014 Environment and Sustainability:<\/strong> Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.<\/li>\n
    • PO8 \u2014 Ethics:<\/strong> Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.<\/li>\n
    • PO9 \u2014 Individual and Team Work:<\/strong> Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.<\/li>\n
    • PO10 \u2014 Communication:<\/strong> Communicate effectively on complex engineering activities with the engineering community and society at large, including writing reports, design documentation, making presentations, and giving\/receiving clear instructions.<\/li>\n
    • PO11 \u2014 Project Management and Finance:<\/strong> Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work as a member and leader in a team to manage projects and in multidisciplinary environments.<\/li>\n
    • PO12 \u2014 Life-long Learning:<\/strong> 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.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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      PEO’s (Program Educational Objectives)<\/h3>\n
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      • PEO1:<\/strong> Graduates will apply principles of Artificial Intelligence, Data Science, and computer science to analyze, design, and develop data-driven solutions for real-world problems.<\/li>\n
      • PEO2:<\/strong> Graduates will pursue successful careers in industry, higher education, research, or entrepreneurship by continuously enhancing their technical, analytical, and professional skills.<\/li>\n
      • PEO3:<\/strong> Graduates will demonstrate ethical conduct, teamwork, leadership qualities, and social responsibility while contributing to technological innovation and societal development.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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        PSO’s (Program Specific Outcomes)<\/h3>\n
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        • PSO1:<\/strong> Ability to design, implement, and evaluate data-driven and intelligent systems using data analytics, machine learning techniques, programming tools, and modern computing platforms.<\/li>\n
        • PSO2:<\/strong> Ability to apply Artificial Intelligence and Data Science techniques such as statistical analysis, data visualization, predictive modeling, deep learning, and big data technologies to solve industry-oriented and societal problems.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Faculty List<\/h3>\n
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          Name of the Faculty<\/th>\nDesignation<\/th>\n<\/tr>\n<\/thead>\n
          Dr. Gandhavalla Sridevi<\/td>\nProfessor<\/td>\n<\/tr>\n
          Jetti Pallavi<\/td>\nAssistant Professor<\/td>\n<\/tr>\n
          Thammisetty Sirisha Rani<\/td>\nAssistant Professor<\/td>\n<\/tr>\n
          Balagani Venkateswarlu<\/td>\nAssociate Professor<\/td>\n<\/tr>\n
          Pinraju A<\/td>\nAssociate Professor<\/td>\n<\/tr>\n
          Adusumalli Manikanta<\/td>\nAssistant Professor<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Syllabus<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Exam Notification<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Previous Question Papers<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

          Vision & Mission PO’s PEO’s PSO’s Faculty List Syllabus Exam Notification Previous Question Papers Department of Computer Science and Engineering…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-573","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/573","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/comments?post=573"}],"version-history":[{"count":2,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/573\/revisions"}],"predecessor-version":[{"id":578,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/573\/revisions\/578"}],"wp:attachment":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/media?parent=573"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}