B.E Artificial Intelligence and Machine Learning Major Project 1 Syllabus - Mumbai University 2026
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Major Project 1
Course Objectives
- 1 To acquaint with the process of identifying the needs and converting it into the problem.
- 2 To familiarize the process of solving the problem in a group.
- 3 To acquaint with the process of applying basic engineering fundamentals to attempt solutions to the problems.
- 4 To inculcate the process of self-learning and research.
Course Outcomes
- 1 Identify problems based on societal /research needs.
- 2 Apply Knowledge and skill to solve societal problems in a group
- 3 Draw the proper inferences from available results through theoretical/ experimental/simulations
- 4 Analyse the impact of solutions in societal and environmental context for sustainable development.
- 5 Demonstrate capabilities of self-learning in a group, which leads to life long learning.
- 6 Demonstrate project management principles during project work.
Guidelines
- 1 Project Topic Selection and Allocation: • Project topic selection Process to be defined and followed: o Project orientation can be given at the end of sixth semester. o Students should be informed about the domain and domain experts whose guidance can be taken before selecting projects. o Student‘s should be recommended to refer papers from reputed conferences/journals like IEEE, Elsevier, ACM etc. which are not more than 3 years old for review of literature. o Dataset selected for the project should be large and realtime o Students can certainly take ideas from anywhere, but be sure that they should evolve them in the unique way to suit their project requirements. Students can be informed to refer Digital India portal, SIH portal or any other hackathon portal forproblem selection. • Topics can be finalized with respect to following criterion: o Topic Selection: The topics selected should be novel in nature (Product based, Application based or Research based) or should work towards removing the lacuna in currently existing systems. o Technology Used: Use of latest technology or modern tools can be encouraged. AI, ML, DL, NNFS, NLP based algorithms can be implemented o Students should not repeat work done previously (work done in the last three years). o Project work must be carried out by the group of at least 3 students and maximum 4. o The project work can be undertaken in a research institute or organization/Industry/any business establishment. (out-house projects) o The project proposal presentations can be scheduled according to the domains and should be judged by faculty who are expert in the domain. o Head of department and senior staff along with project coordinators will take decision regarding final selection of projects. o Guide allocation should be done and students have to submit weekly progress report to the internal guide. o Internal guide has to keep track of the progress of the project and also has to maintain attendance report. This progress report can be used for awarding term work marks. o In case of industry/ out-house projects, visit by internal guide will be preferred and external members can be called during the presentation at various levels
- 2 Project Report Format: At the end of semester, each group needs to prepare a project report as per the guidelines issued by the University of Mumbai. A project report should preferably contain following details: o Abstract o Introduction o Literature Survey/ Existing system o Limitation Existing system or research gap o Problem Statement and Objective o Proposed System o Analysis/Framework/ Algorithm o Design details o Methodology (your approach to solve the problem) Proposed System o Experimental Set up o Details of Database or details about input to systems or selected data o Performance Evaluation Parameters (for Validation) o Software and Hardware Setup o Implementation Plan for Next Semester o Timeline Chart for Term1 and Term-II (Project Management tools can be used.) o References Desirable Students can be asked to undergo some Certification course (for the technical skill set thatwill be useful and applicable for projects.)
- 3 Term Work: Distribution of marks for term work shall be done based on following: o Weekly Log Report o Project Work Contribution o Project Report (Spiral Bound) (both side print) o Term End Presentation (Internal) The final certification and acceptance of TW ensures the satisfactory performance on theaboveaspects.
- 4 Oral and Practical: Oral and Practical examination (Final Project Evaluation) of Project 1 should be conducted byInternal and External examiners approved by University of Mumbai at the end of the semester. Suggested quality evaluation parameters are as follows: o Quality of problem selected o Clarity of problem definition and feasibility of problem solution o Relevance to the specialization / industrial trends o Originality o Clarity of objective and scope o Quality of analysis and design o Quality of written and oral presentation o Individual as well as teamwork
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. 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.
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