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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / TY BE AI and DS / Semester 6 / Mini Project 2B

B.E. (Artificial Intelligence and Data Science) Mini Project 2B Syllabus - Mumbai University 2026

This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.

Mini Project 2B.pdf
Semester 6 · TY BE AI and DS · 2 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Mini Project 2B

Semester 6 · TY BE AI and DS · 2 credits · CBCS REV-2019 'C' Scheme

Objectives

  • 1 To understand and identify the problem
  • 2 To apply basic engineering fundamentals and attempt to find solutions to the problems.
  • 3 Identify, analyze, formulate and handle programming projects with a comprehensive and systematic approach
  • 4 To develop communication skills and improve teamwork amongst group members and inculcate the process of self-learning and research.

Outcome: Learner will be able to…

  • 1 Identify societal/research/innovation/entrepreneurship problems through appropriate literature surveys
  • 2 Identify Methodology for solving above problem and apply engineering knowledge and skills to solve it
  • 3 Validate, Verify the results using test cases/benchmark data/theoretical/ inferences/experiments/simulations
  • 4 Analyze and evaluate the impact of solution/product/research/innovation /entrepreneurship towards societal/environmental/sustainable development
  • 5 Use standard norms of engineering practices and project management principles during project work
  • 6 Communicate through technical report writing and oral presentation. ● The work may result in research/white paper/ article/blog writing and publication ● The work may result in business plan for entrepreneurship product created ● The work may result in patent filing.
  • 7 Gain technical competency towards participation in Competitions, Hackathons, etc.
  • 8 Demonstrate capabilities of self-learning, leading to lifelong learning.
  • 9 Develop interpersonal skills to work as a member of a group or as leader

Guidelines for Mini Project

  • 1 Mini project may be carried out in one or more form of following: Product preparations, prototype development model, fabrication of set-ups, laboratory experiment development, process modification/development, simulation, software development, integration of software (frontend-backend) and hardware, statistical data analysis, creating awareness in society/environment etc.
  • 2 Students shall form a group of 3 to 4 students, while forming a group shall not be allowed less than three or more than four students, as it is a group activity.
  • 3 Students should do survey and identify needs, which shall be converted into problem statement for mini project in consultation with faculty supervisor/head of department/internal committee of faculties.
  • 4 Students shall submit an implementation plan in the form of Gantt/PERT/CPM chart, which will cover weekly activity of mini projects.
  • 5 A logbook may be prepared by each group, wherein the group can record weekly work progress, guide/supervisor can verify and record notes/comments.
  • 6 Faculty supervisors may give inputs to students during mini project activity; however, focus shall be on self-learning.
  • 7 Students under the guidance of faculty supervisor shall convert the best solution into a working model using various components of their domain areas and demonstrate.
  • 8 The solution to be validated with proper justification and report to be compiled in standard format of University of Mumbai. Software requirement specification (SRS)

Term Work

  • The review/ progress monitoring committee shall be constituted by the heads of departments of each institute. The progress of the mini project to be evaluated on a continuous basis, based on the SRS document submitted. minimum two reviews in each semester.
  • In continuous assessment focus shall also be on each individual student, assessment based on individual‘s contribution in group activity, their understanding and response to questions.
  • Distribution of Term work marks for both semesters shall be as below: Marks 25
  • 1 Marks awarded by guide/supervisor based on logbook 10
  • 2 Marks awarded by review committee 10
  • 3 Quality of Project report 05

One-year project

  • 1 In the first semester the entire theoretical solution shall be made ready, including components/system selection and cost analysis. Two reviews will be conducted based on a presentation given by a student group.  First shall be for finalization of problem  Second shall be on finalization of proposed solution of problem.
  • 2 In the second semester expected work shall be procurement of component‘s/systems, building of working prototype, testing and validation of results based on work completed in an earlier semester.  First review is based on readiness of building working prototype to be conducted.  Second review shall be based on poster presentation cum demonstration of working model in the last month of the said semester.

Half-year project

  • 1 In this case in one semester students‘ group shall complete project in all aspects including,  Identification of need/problem  Proposed final solution  Procurement of components/systems  Building prototype and testing
  • 2 Two reviews will be conducted for continuous assessment,  First shall be for finalization of problem and proposed solution  Second shall be for implementation and testing of solution.
  • Mini Project shall be assessed based on following points
  • 1 Clarity of problem and quality of literature Survey for problem identification
  • 2 Requirement gathering via SRS/ Feasibility Study
  • 3 Completeness of methodology implemented
  • 4 Design, Analysis and Further Plan
  • 5 Novelty, Originality or Innovativeness of project
  • 6 Societal / Research impact
  • 7 Effective use of skill set : Standard engineering practices and Project management standard
  • 8 Contribution of an individual‘s as member or leader
  • 9 Clarity in written and oral communication
  • 10 Verification and validation of the solution/ Test Cases
  • 11 Full functioning of working model as per stated requirements
  • 12 Technical writing /competition/hackathon outcome being met
  • In one year project (sem V and VI), first semester evaluation may be based on first 10 criteria and remaining may be used for second semester evaluation of performance of students in mini projects. In case of half year projects (completing in VI sem) all criteria‘s in generic may be considered for evaluation of performance of students in mini projects.

Guidelines for Assessment of Mini Project Practical/Oral Examination

  • 1 Report should be prepared as per the guidelines issued by the University of Mumbai.
  • 2 Mini Project shall be assessed through a presentation and demonstration of working model by the student project group to a panel of Internal and External Examiners preferably from industry or research organizations having experience of more than five years approved by the head of Institution.
  • 3 Students shall be motivated to publish a paper/participate in competition based on the work in Conferences/students competitions.

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording, module numbering and hours are as printed in that syllabus.

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 B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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