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Home / Syllabus / B.E. (Computer Engineering) / Third Year CE / Semester 6 / Artificial Intelligence Lab

B.E. (Computer Engineering) Artificial Intelligence Lab Syllabus - Mumbai University 2026

The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.

Artificial-Intelligence-Lab.pdf
Semester 6 · Third Year CE · 1 credit · 50 marks

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Syllabus for Artificial Intelligence Lab

Semester 6 · Third Year CE · 1 credit · 50 marks

Lab Objectives

  • 1 To realize the basic techniques to build intelligent systems
  • 2 To apply appropriate search techniques used in problem solving
  • 3 To create knowledge base for uncertain data Lab Outcomes: At the end of the course, the students will be able to
  • 1 Identify languages and technologies for Artificial Intelligence
  • 2 Understand and implement uninformed and informed searching techniques for real world problems.
  • 3 Create a knowledge base using any AI language.
  • 4 Design and implement expert systems for real world problems. Suggested List of Experiments (programming in python) Sr. No. Title of Experiment
  • 1 One case study on AI applications published in IEEE/ACM/Springer or any prominent journal.
  • 2 Assignments on State space formulation and PEAS representation for various AI applications
  • 3 Program on uninformed search methods.
  • 4 Program on informed search methods.
  • 5 Program on Game playing algorithms.
  • 6 Program for first order Logic
  • 7 Planning Programming
  • 8 Implementation for Bayes Belief Network Note: Any other practical covering the syllabus topics and subtopics can be conducted. The programming assignment for First order logics could be in the form of a mini project Term Work:
  • 1 Term work should consist of a minimum of 8 experiments.
  • 2 Journal must include at least 2 assignments on content of theory and practical of “Artificial Intelligence”
  • 3 The final certification and acceptance of term work ensures that satisfactory performance of laboratory work and minimum passing marks in term work.
  • 4 Total 25 Marks (Experiments: 15-marks, Attendance Theory & Practical: 05-marks, Assignments: 05-marks) Oral & Practical exam: Based on the entire syllabus of CSC604: Artificial Intelligence

Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2021-22. 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 7.9 (R-A) B.E. (Computer Engineering) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.24 (N) B.E. (Computer Engineering) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.15 B.E. (Computer Engineering) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF 6.41 (R) B.E. (Computer Engineering) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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