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Home / Syllabus / B.Sc. (Data Science) / TY BSc Data Science / Semester 5 / Major Practical Deep Learning and Computer Vision Practical

B.Sc. (Data Science) Major Practical Deep Learning and Computer Vision Practical Syllabus - Mumbai University

This is the TY BSc Data Science syllabus under NEP 2020, in force from the academic year 2026-27. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Major Practical Deep Learning and Computer Vision Practical Syllabus.pdf
Major · Semester 5 · TY BSc Data Science · 2 credits · 50 marks

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Syllabus for Major Practical Deep Learning and Computer Vision Practical

Major · Semester 5 · TY BSc Data Science · 2 credits · 50 marks

Module I

  • 1. Perform Geometric Transformation 2. Perform Image Stitching. 3. Perform Camera Calibration. 4. Perform the following:
  • i Face detection ii. Object detection iii. Pedestrian detection iv. Face recognition 5. Construct 3D model from images. 6. Implement object detection and tracking from video. 7. Perform Feature extraction using RANSAC 8. Perform Colorization 9. Perform Text detection and recognition 10. Perform Image matting and composting

Module II: Design and perform following practical as mini project and submission with

  • presentation. 1. Classifying traffic signs using a standard benchmark dataset 2.Multi-class classification application for detecting diseased plants based on images of their leaves 3. Optical Character Recognition (OCR) for Handwritten Text 4. Facial Emotion Recognition 5. Food Image Classification or Clothing Classifier 6. Multi-object Tracking in Video 7. Image Captioning 8. Gesture Recognition For Human-Computer Interaction 9. Visual Question Answering (VQA) 10. Face De-Aging/Aging 11. Human Pose Estimation And Action Recognition in Crowded Scenes 12. Unsupervised Anomaly Detection in Industrial Inspection 10 Text Books 1. Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron An MIT Press book 1st 2016 2. Generative Deep Learning David Foster O’Reilly 2nd 2023 3. Computer Vision : Foundation and Application Ranjay Krishna published by stanford university 4. Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2022 (2nd Edition) 11 Reference Books 1. Fundamentals of Deep Learning Nikhil Buduma O’Reilly 2017 2. Deep Learning: Methods and Applications Deng & Yu Now Publishers,1st 2013 3. Deep Learning CookBook Douwe Osinga O’Reilly 1st 2017 4. Computer Vision: Models, Learning, and Inference, Simon J. D. Prince, Cambridge University Press, 2012 5. Deep Learning for Vision Systems, Mohamed Elgendy, Manning Publications, 2020 12 Internal Continuous Assessment: 40% Semester End Examination: 60% 13 Continuous Evaluation through: 30 marks Semester End Students are expected to attend each practical Examination and submit the written practical of the previous session. Performing Practical and writeup submission will be continuous internal evaluation. 2.5 marks can be awarded for each practical performance and writeup submission totaling to 50 marks and can be converted to 20 marks. Total: 20 marks 14 Format of Question Paper: Duration 2 hours. Certified copy of Journal is compulsory to appear for the practical examination Practical Slip: Q1. From Module 1 13 marks Q2. From Module 2 12marks Q3. Journal and Viva 05 marks

Text Books

  • 1 Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron An MIT Press book 1st 2016
  • 2 Generative Deep Learning David Foster O’Reilly 2nd 2023
  • 3 Computer Vision : Foundation and Application Ranjay Krishna published by stanford university
  • 4 Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2022 (2nd Edition)
  • 1 Fundamentals of Deep Learning Nikhil Buduma O’Reilly 1 st 2017
  • 2 Deep Learning: Methods and Applications Deng & Yu Now Publishers,1st 2013
  • 3 Deep Learning CookBook Douwe Osinga O’Reilly 1st 2017
  • 4 Computer Vision: Models, Learning, and Inference, Simon J. D. Prince, Cambridge University Press, 2012
  • 5 Deep Learning for Vision Systems, Mohamed Elgendy, Manning Publications, 2020

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020, in force from the academic year 2026-27. Wording is as printed in that syllabus. Module numbering is as printed there too.

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 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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