B.E Artificial Intelligence and Machine Learning Major Project 2 Syllabus - Mumbai University
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 2
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 lifelong learning.
- 6 Demonstrate project management principles during project work.
Guidelines
- 1 Internal guide has to keep track of the progress of the project and also has to maintainattendance report. This progress report can be used for awarding term work marks.
- 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. Report should be submitted in hardcopy. Also, each group should submit softcopy of the report along with project documentation, implementation code, required utilities, software and user Manuals. A project report should preferably contain at least 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 Results and Discussion o Conclusion and Future Work o References o Appendix – List of Publications or certificates Desirable: Students should be encouraged o to participate in various project competition. o to write minimum one technical paper & publish in good journal. o to participate in national / international conference.
- 3 Term Work: Distribution of marks for term work shall be done based on following: a. Weekly Log Report b. Completeness of the project and Project Work Contribution c. Project Report (Black Book) (both side print) d. Term End Presentation (Internal) The final certification and acceptance of TW ensures the satisfactory performance on the above aspects.
- 4 Oral & Practical: Oral &Practical examination (Final Project Evaluation) of Project 2 should be conducted by Internal and External examiners approved by University of Mumbai at the end of the semester. Suggested quality evaluation parameters are as following: a. Relevance to the specialization / industrial trends b. Modern tools used c. Innovation d. Quality of work and completeness of the project e. Validation of results f. Impact and business value g. Quality of written and oral presentation h. 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
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