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B.E Artificial Intelligence and Machine Learning Social Science and Community Services Syllabus - Mumbai University

This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Social-Science-and-Community-Services.pdf
Semester 2 · First Year AI-ML · 2 credits

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Syllabus for Social Science and Community Services

Semester 2 · First Year AI-ML · 2 credits

Course Outcomes

  • 1 Communicate effectively verbally and in writing by selecting proper content, tone, and demeanor for the situation
  • 2 Demonstration effective use of technology for personal and professional activities, including electronic communication and information resources
  • 3 Develop and actively pursue personal, academic and professional goals
  • 4 Seek guidance and assistance as needed to achieve academic success, maintain good academic standing and progress toward a degree
  • 5 Manage personal affairs by demonstrating empathy toward others, caring for one's self and seeking assistance as needed
  • 6 Demonstrate professionalism toward peers, faculty, staff, employers and other members of the College community through social etiquette, effective communication and restraint Available Choice Available at Guided By Evaluation (Any One ) at NSS College / Cluster University NSS Institute * Coordinator NCC College/Cluster University/State level Institute * NCC core Civil Defense College/Cluster State/ local Institute * Governance Civil defense Unit Amateur radio College / Cluster Local /Cluster / Institute * /Coordinated University level Coordinator ● By Coordinator / program officer assigned at institute level DETAILED GUIDELINE : 119
  • 1 For NSS /NCC The students shall earn marks for all relevant activities, which include Sports and Games, NCC, NSS etc. Every student opted for NSS is expected to participate in the program for a minimum of 120 hours in a semester to become eligible for the credit. Every time the student participates / completes a task, the same is entered in the attendance register meant for the purpose and to be certified by the concerned Head and the Academic Coordinator, at the end of the semester, the student shall be awarded marks for participation as devised for the respective program. Assessment: (Towards termwork) Evaluation Pattern for Participation Sr No Particulars Max marks
  • 1 Attendance & Routine Activities 05
  • 2 Participation in Camps / Field Activity 10
  • 3 Brief Report 10 Total 25
  • 2 For Civil Defense Civil Defence offers members the opportunity to train in a variety of skills and to learn new techniques that will not only assist your local community in the event of an emergency but will also enhance your own personal development. All training is given by experienced instructors and is certified to national standards. Casualty Service – training for First Aid, Rescue Service – training for Rescue. Fire Fighting Service – training in certain areas of fire fighting. Pumping floodwaters and supplying water and emergency services for support to the community. The activity can be started at college level/ Cluster level by coordinating with the local Civil defense center . Training will be arranged by theLocal civil defense center set up by the Directorate of civil defense ,Maharashtra state in the region of College/ Cluster. a Civil Defense unit can be established by a Coordinator assigned amongst the desiring faculty member at college / cluster level . OBJECTIVES OF CIVIL DEFENCE UNIT To enable students to identify social issues and their solutions. To develop self discipline and a helping attitude among the students. 120 To make students responsible citizens For protection of the environment. To implement government programs and policies among people. To prepare students to give scientific aid in natural and manmade disaster

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2024-25. Wording is as printed in that syllabus. The University sets no module list for this course; what she publishes is the objectives, outcomes and assessment guidelines reproduced above.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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