[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-165172-en":3,"doc-seo-165172-105":30,"detail-sidebar-cat-1-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":11,"category_id":12,"category_name":13,"doc_title":14,"doc_description":15,"doc_content":16,"file_id":17,"file_url":18,"file_type":19,"file_size":20,"view_count":4,"is_deleted":4,"is_public":11,"is_downloadable":11,"audit_status":11,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":15,"update_tm":28,"read_time":29},165172,1374402739827,"Nguyễn Văn Học","https://ap-avatar.wpscdn.com/avatar/14000c97e7351f1a627?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787885694763230660",1,11,"Presentations","M.Sc. Artificial Intelligence - Syllabus - Bharathiar University (2024-2025 onwards)","Comprehensive curriculum syllabus for the M.Sc. Artificial Intelligence programme in the University Department of Bharathiar University, effective from the 2024–2025 academic year onwards. The document outlines admission eligibility, full-time duration across three coursework/laboratory semesters plus a project-focused fourth semester, and choice-based credit system regulations. It specifies English as the medium for instruction and examinations, with mandatory submissions for practical record notebooks and project report for viva-voce.","M.Sc., ARTIFICIAL INTELLIGENCE\nSyllabus\nUNIVERSITY DEPARTMENT\nProgram Code:\n2024 – 2025 onwards\nBHARATHIAR UNIVERSITY\n(A State University, Accredited with “A++” Grade by NAAC,\nRanked 21st among Indian Universities by MHRD-NIRF)\nCoimbatore - 641 046, Tamil Nadu, India\n\u000f\nBHARATHIAR UNIVERSITY :: COIMBATORE - 641046\nDEPARTMENT OF COMPUTER SCIENCE\n(Effective from the academic Year 2024-2025)\nMISSION\nCreating and disseminating world-class knowledge in the global context\nEquip students with knowledge of up-to-date technological developments to take part in the global software industry\nPromote state of art interdisciplinary research in computer science\nImbibe entrepreneurial culture through curriculum, pedagogy, research, and mentoring\n1. Eligibility for Admission to the Programme\nCandidates for admission to the first-year programme leading to the Degree of Master of Science in Artificial Intelligence (M.Sc., AI) will be required to possess:\nA pass in B.Sc. Computer Science/ Information Technology/ Computer Applications or its equivalents.\n2. Duration of the Programme\nThe programme shall be offered on a full-time basis. The programme will consist of three semesters of coursework and laboratory work and the fourth semester consists of project work.\n3. Regulations\nThe general Regulations of the Bharathiar University Choice-Based Credit System Programme apply to this programme.\n4. The Medium of Instruction and Examinations\nThe medium of instruction and Examinations shall be in English.\n5. Submission of Record Notebooks for Practical Examinations & Project Viva-Voce\nCandidates taking the Practical Examinations should submit bonafide Record Note Books prescribed for the Examinations. Otherwise, the candidates will not be permitted to take the Practical Examinations.\nCandidates taking the Project Viva Examination should submit the Project Report prescribed for the Examinations. Otherwise, the candidates will not be permitted to take the Project Viva-voce Examination.\n\u000f\nBHARATHIAR UNIVERSITY :: COIMBATORE 641 046\nM.Sc. Artificial Intelligence Curriculum (University Department)\n(For the students admitted during the academic year 2024 – 2025 onwards)\nOnline Course\n*Swayam – Mooc online course shall be for at least 4 weeks with at least 2 credits.\nThe course shall be mandatory and shall be completed within the third semester (i.e., before the\nbeginning of the fourth semester)\nElective Papers\nList of Job Oriented/Value Added Course\n1. Data Analysis using Excel\n2. Power BI for Data Analytics\n3. Software Testing Tools\n4. Cyber Security and Digital Forensics\n5.  Mobile Application Development\n6. Smart Applications with the Internet of Things\n7. Remote Sensing and GIS\n\u000f\n\u000f\n*S-Strong; M-Medium; L-Low\nAdvanced Data Structures and Algorithms – LAB\nList of Programs\nGeneration of Graph\nTopological Sorting\nAll Pairs Shortest Path\nSingle Source Shortest Path\nImplementation of Knapsack problem\nTravelling Salesman Problem\nB Tree\nFord Fulkerson Algorithm\nKMP algorithm for pattern matching\n*S-Strong; M-Medium; L-Low\n*S-Strong; M-Medium; L-Low\n*S-Strong; M-Medium; L-Low\nMACHINE LEARNING AND ITS APPLICATIONS – LAB\nList of Programs\nK-nearest neighbors’ classification\nLinear regression\nNaïve Bayes theorem for classification of English text\nSupport Vector Machine algorithm\nCalculation of the VC dimension of a set of hypotheses.\nMultivariate Gaussian distribution.\nAdaBoost algorithm for binary classification problem.\nImplementation of Bayesian and frequent approaches for estimating the mean of a Gaussian distribution.\nImplementation of matrix factorization for collaborative filtering using Singular Value Decomposition.\nMapping with programme outcomes:\nS- Strong; M-Medium; L-Low\n\u000f\n\u000f\n*S-Strong; M-Medium; L-Low\n*S-Strong; M-Medium; L-Low\nDEEP LEARNING TECHNIQUES - LAB\nList of Programs\n1. Implementation of feed-forward neural network\n2. Implementation of convolutional network\n3. Image classification\n4. Image segmentation\n5. Time series forecasting\n6. Text classification","cbCaikdWgG7lZflK","https://ap.wps.com/l/cbCaikdWgG7lZflK","docx",292122,78,"English","en",105,"# Programme Overview\n## Admission Eligibility\n## Programme Duration and Regulations\n## Medium of Instruction and Examinations\n# Curriculum Structure\n## Online Course (Swayam-MOOC)\n## Elective Papers and Job-Oriented Courses\n## Laboratory Courses\n### Advanced Data Structures and Algorithms - Lab\n### Machine Learning and Its Applications - Lab\n### Deep Learning Techniques - Lab\n### Data Engineering - Lab\n### Cloud and Big Data Analytics - Lab","[{\"question\":\"What are the admission eligibility requirements for the M.Sc. Artificial Intelligence programme?\",\"answer\":\"Applicants must have a pass in B.Sc. Computer Science/Information Technology/Computer Applications or its equivalents for entry into the first-year programme.\"},{\"question\":\"How long is the M.Sc. Artificial Intelligence programme, and how is it structured?\",\"answer\":\"The programme is full-time and includes three semesters of coursework and laboratory work, followed by a fourth semester dedicated to project work.\"},{\"question\":\"What submissions are required for practical examinations and project viva-voce?\",\"answer\":\"For practical examinations, candidates must submit the prescribed bonafide record notebooks. For the project viva, candidates must submit the prescribed project report; otherwise participation is not permitted.\"}]","M.Sc. Artificial Intelligence - Syllabus - Bharathiar University (2024-2025 onwards) | DOCX",1788167364,27,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":14,"keywords":34,"description":15,"schema_data":35,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":28},"msc-artificial-intelligence-syllabus-bharathiar-university-2024-2025-onwards","",{"@graph":36,"@context":87},[37,54,70],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":11},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/template/","Template",2,{"item":49,"name":13,"@type":43,"position":50},"https://docshare.wps.com/template/presentations/",3,{"item":52,"name":14,"@type":43,"position":53},"https://docshare.wps.com/template/msc-artificial-intelligence-syllabus-bharathiar-university-2024-2025-onwards/165172/",4,{"url":52,"name":14,"@type":55,"author":56,"headline":14,"publisher":58,"fileFormat":61,"inLanguage":23,"description":15,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-09-05","2026-08-31",true,{"@type":66,"interactionType":67,"userInteractionCount":69},"InteractionCounter",{"@type":68},"ViewAction",7,{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What are the admission eligibility requirements for the M.Sc. Artificial Intelligence programme?","Question",{"text":77,"@type":78},"Applicants must have a pass in B.Sc. Computer Science/Information Technology/Computer Applications or its equivalents for entry into the first-year programme.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"How long is the M.Sc. Artificial Intelligence programme, and how is it structured?",{"text":82,"@type":78},"The programme is full-time and includes three semesters of coursework and laboratory work, followed by a fourth semester dedicated to project work.",{"name":84,"@type":75,"acceptedAnswer":85},"What submissions are required for practical examinations and project viva-voce?",{"text":86,"@type":78},"For practical examinations, candidates must submit the prescribed bonafide record notebooks. 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