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Curriculum AreaFoundational · Quiz 2

Foundational · May 2026

Computational Thinking

Programming in Python

Program Syllabus Dates Arena

Library Hubs Dl CVNotes

BSDA5006 · Knowledge Base

Dl CV Notes

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187 - CNN Fundamentals- Convolution, Pooling, and Architecture Design

188 - ResNet, Skip Connections, and Deep Network Design

189 - Transfer Learning for Computer Vision

190 - Object Detection- R-CNN, YOLO, and SSD

191 - Semantic and Instance Segmentation- FCN, U-Net, Mask R-CNN

192 - GANs for Computer Vision- Generator, Discriminator, DCGAN, CGAN, WGAN, CycleGAN

193 - Data Augmentation- Transformations, MixUp, CutMix, RandAugment, AutoAugment

194 - Vision Transformers (ViT) and Attention for Images

195 - Image Processing- Gradients, Filtering, Edge Detection, Frequency Domain, Histograms

196 - Diffusion Models for CV- DDPM, Noise Scheduling, U-Net for Denoising, Sampling

197 - BSDA5006 — Deep Learning for Computer Vision (DL-CV)

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