B.Sc. (Data Science) Computer Vision 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.
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Syllabus for Computer Vision
Module I: Introduction to Computer Vision: What is computer vision?, Understanding
- human vision, Extracting information from images, Applications of computer vision Color : Physics of Color, Human Encoding of Color, Color Spaces, Pixels and Filters: Image Sampling and Quantization, Image Histograms, Images as Functions, Linear Systems (Filters), Convolution and Correlation Edge Detection: Edge Detection in Mammals, Edge Detection for Computer Vision, Simple Edge Detectors, Designing a Good Edge Detector, Hough Transforms, Features and Fitting: Introduction, RANSAC, Local Invariant Features, Keypoint Localization
Module II: Semantic Segmentation: Introduction, Segmentation
- Clustering: Clustering and Segmentation, Gestalt School and Factors, Agglomerative Clustering, K-Means Clustering, Mean-shift Clustering Object recognition: Mean-Shift, Object recognition, K-nearest neighbors Face Identification: Introduction to Facial Recognition, The Eigenfaces Algorithm, Linear Discriminant Analysis Object Detection from Deformable Parts: Introduction to Object Detection, Current Object Detection Benchmarks, Evaluating Object Detection, A Simple Sliding Window Detector, The Deformable Parts Model (DPM), The DPM Detection Pipeline, DPM Detection Results, DPM Summary 10 Text Books 1. Computer Vision : Foundation and Application Ranjay Krishna published by stanford university 2. Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2022 (2nd Edition) 11 Reference Books 1. Computer Vision: Models, Learning, and Inference, Simon J. D. Prince, Cambridge University Press, 2012 2. Deep Learning for Vision Systems, Mohamed Elgendy, Manning Publications, 2020 12 Internal Continuous Assessment: Semester End Examination: 60% 40% 13 Continuous Evaluation through: 30 marks Semester End Examination Case study submission of 10 marks Quizzes/ Presentations/ Assignments: 10 marks Total: 20 marks 14 Format of Question Paper: (Semester End Examination: 30 Marks. Duration: 1 Hr ) Q1: Attempt any three (out of five/six) from Module 1 (15 Marks) Q2: Attempt any three (out of five/six) from Module 1 (15 Marks)
Text Books
- 1 Computer Vision : Foundation and Application Ranjay Krishna published by stanford university
- 2 Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2022 (2nd Edition)
- 1 Computer Vision: Models, Learning, and Inference, Simon J. D. Prince, Cambridge University Press, 2012
- 2 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.