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The scheme lists course codes, subject names, subject types (mandatory, departmental elective, open elective, labs), lecture/tutorial/practical periods, class test and teacher assessment components, end-semester evaluation parts, totals and credits. 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Compulsory Audit (CA) courses use a qualifying exam approach: no credit is required, and total/obtained marks are not added to the grand total.",{"name":70,"@type":61,"acceptedAnswer":71},"What are the mandatory and major course components in Semester-VI?",{"text":72,"@type":64},"Semester-VI lists mandatory courses such as Natural Language Processing, Generative AI, Software Engineering and Design, and Mini Project, along with Natural Language Processing Lab. It also includes departmental electives, open elective I, and MOOCs for essential honors requirements.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},293706,1789667770,{"code":4,"msg":82,"data":83},"success",[84,88,92,95,100,105,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":93,"slug":94},70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},8,"Research & Report",30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":80,"read_time":144},1374391974564,"https://ap-avatar.wpscdn.com/avatar/14000253aa45c000a9e?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779874745381141002","NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GREATER NOIDA, G.B. NAGAR  \n(AN AUTONOMOUS INSTITUTE)  \nAffiliated to  \nDR. A.P.J. ABDUL KALAM TECHNICAL UNIVERSITY, UTTAR PRADESH, LUCKNOW  \nEvaluation Scheme & Syllabus  \nFor  \nBachelor of Technology  \nComputer Science and Engineering (Artificial Intelligence and Machine Learning)  \nThird Year  \n(Effective from the Session: 2025-26)  \nNOIDA INSTITUTE OF ENGINEERING & TECHNOLOGY, GREATER NOIDA, GAUTAM BUDDH NAGAR  \n(AN AUTONOMOUS INSTITUTE)  \nBachelor of Technology  \nComputer Science and Engineering (Artificial Intelligence and Machine Learning)  \nEvaluation Scheme  \nSEMESTER-V  \n\n| Sl.\u003Cbr>No\u003Cbr>. | Subject\u003Cbr>Codes | Subject | Types of\u003Cbr>Subjects | Periods |  | Evaluation Schemes |  |  |  |  | End\u003Cbr>Semester |  | Total | Credit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  | L | T | P | CT | TA | TOTAL | PS | TE | PE |  |  |\n| 1 | BCSCC0501 | Design Thinking-II | Mandatory | 2 | 1 | 0 | 30 | 20 | 50 |  | 100 |  | 150 | 3 |\n| 2 | BCSE0502 | Computer Networks | Mandatory | 3 | 1 | 0 | 30 | 20 | 50 |  | 100 |  | 150 | 4 |\n| 3 |  | Departmental Elective –I | Departmental\u003Cbr>Elective | 3 | 0 | 0 | 30 | 20 | 50 |  | 100 |  | 150 | 3 |\n| 4 |  | Departmental Elective –II | Departmental\u003Cbr>Elective | 3 | 0 | 0 | 30 | 20 | 50 |  | 100 |  | 150 | 3 |\n| 5 | BCSE0552 | Computer Networks Lab | Mandatory | 0 | 0 | 4 |  |  |  | 50 |  | 50 | 100 | 2 |\n| 6 | BCSML0552 | Deep Learning | Mandatory | 0 | 0 | 6 |  |  |  | 50 |  | 100 | 150 | 3 |\n| 7 | BCSE0555 | Web Technologies | Mandatory | 0 | 0 | 6 |  |  |  | 50 |  | 100 | 150 | 3 |\n| 8 | BCSE0559 | Internship Assessment-II | Mandatory | 0 | 0 | 2 |  |  |  | 50 |  |  | 50 | 1 |\n| 9 | BNC0501/\u003Cbr>BNC0502 | Constitution of India, Law and Engineering / Essence of Indian Traditional Knowledge | Compulsory\u003Cbr>Audit | 2 | 0 | 0 | 30 | 20 | 50 |  | 50 |  | 100 | NA |\n| 10 |  | *Massive Open Online Courses (For B.Tech. Hons. Degree) | MOOCs |  |  |  |  |  |  |  |  |  |  |  |\n|  |  | TOTAL |  | 13 | 2 | 18 | 120 | 80 | 200 | 200 | 400 | 250 | 1050 | 22 |\n\nList of MOOCs Based Recommended Courses for Third year (Semester-V) B. Tech Students  \n\n| Sr. No. | Subject\u003Cbr>Code | Course Name | University / Industry Partner Name | No of Hours | Credits |\n| --- | --- | --- | --- | --- | --- |\n| 1 | BMC0077 | Deep Learning for Developers | Infosys Wingspan (Infosys Springboard) | 34h 51m | 2.5 |\n| 2 | BMC0095 | ReactJS | Infosys Wingspan (Infosys Springboard) | 61h 2m | 4 |\n\nPLEASE NOTE: -  \n• A 3–4-week Internship shall be conducted during summer break after semester-IV and will be assessedduring semester-V.  \n• Compulsory Audit (CA) Courses (Non-Credit-BNC0501/BNC0502)  \n➢ All Compulsory Audit Courses (a qualifying exam) do not require any credit.  \n➢ The total and obtained marks are not added to the grand total.  \nAbbreviation Used:  \nL: Lecture, T: Tutorial, P: Practical, CT: Class Test, TA: Teacher Assessment, PS: Practical Sessional, TE: Theory End Semester Exam., CE: Core Elective, OE: Open Elective, DE: Departmental Elective, PE: Practical End Semester Exam, CA: Compulsory Audit,  \nMOOCs: Massive Open Online Courses.  \nDEPARTMENTAL ELECTIVES  \n\n| Sl.\u003Cbr>No. | Subject Codes | Subject Name | Types of Subjects Bucket Name |  | Branch | Semester |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | BCSE0511 | CRM Fundamentals | Departmental Elective-I | CRM-RPA | CSE (AIML) | 5 |\n| 2 | BCSE0513 | CRM Administration | Departmental Elective-II |  | CSE (AIML) | 5 |\n| 3 | BCSDS0511 | Data Analytics | Departmental Elective-I | Data Analytics | CSE (AIML) | 5 |\n| 4 | BCSAI0519 | Business Intelligence and Data Visualization | Departmental Elective-II |  | CSE (AIML) | 5 |\n| 5 | BCSE0512 | Python Web Development with Django | Departmental Elective-I | Full Stack\u003Cbr>Development | CSE (AIML) | 5 |\n| 6 | BCSE0514 | Design Patterns | Departmental Elective-II |  | CSE (AIML) | 5 |\n| 7 | BCSAI0515 | Mobile Applicatio","cbCaibCVXfdBrTNF","https://ap.wps.com/l/cbCaibCVXfdBrTNF","pdf",1153581,69,"English","# Evaluation Scheme and Syllabus\n## Semester-V\n## Departmental Electives and MOOCs (Semester-V)\n## Notes, Abbreviations, and Internship/Compulsory Audit Rules\n## Semester-VI\n## Departmental Electives and MOOCs (Semester-VI)","[{\"question\":\"Which courses are listed under Semester-V for B.Tech CSE (AIML) Third Year?\",\"answer\":\"Semester-V includes Design Thinking-II, Computer Networks, two departmental electives, Computer Networks Lab, Deep Learning, Web Technologies, Internship Assessment-II, and Compulsory Audit courses including BNC0501/BNC0502.\"},{\"question\":\"How are internship and compulsory audit assessed across the semesters?\",\"answer\":\"A 3–4-week internship is conducted during summer break after Semester-IV and assessed during Semester-V. Compulsory Audit (CA) courses use a qualifying exam approach: no credit is required, and total/obtained marks are not added to the grand total.\"},{\"question\":\"What are the mandatory and major course components in Semester-VI?\",\"answer\":\"Semester-VI lists mandatory courses such as Natural Language Processing, Generative AI, Software Engineering and Design, and Mini Project, along with Natural Language Processing Lab. It also includes departmental electives, open elective I, and MOOCs for essential honors requirements.\"}]","Evaluation Scheme and Syllabus - Bachelor of Technology - Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Third Year - Semester-V & Semester-VI | PDF",174]