B.E Artificial Intelligence and Machine Learning Mini Project 2A Syllabus - Mumbai University
This is the Third Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2022-23. 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 Mini Project 2A
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 or 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) documents, research papers, competition certificates may be submitted as part of
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 2022-23. 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.