CCS514

Computer Vision

Final Year Undergraduate Course • Spring 2026

Dr. Felix, Associate Professor of Computer Science

Computer vision is everywhere: search, self‑driving cars, medical imaging, drones, and augmented reality. This course dives deep into modern deep learning architectures for visual recognition tasks such as image classification, object detection, and segmentation. You will learn to implement and train neural networks from scratch, understand state‑of‑the‑art research, and apply multi‑million parameter models to real‑world problems. Prerequisites: Linear algebra, basic probability, and Python programming.

Lectures & Lab: Tue/Thu 2:00–4:00 Location: The Main Computer Lab

📅 Schedule 📝 Assignments 📚 Resources 🎓 Students 👥 Staff

Weekly Schedule

Week	Topic	Readings (Modern Deep Learning Focus)
1	Introduction & Logistics (Slides)	Foundations of Computer Vision: 1, 2, 3
2	Image Classification (Classical & CNN basics) - (Slides)	CS231n: Linear classification VGGNet paper (Very Deep CNNs) ResNet paper (Deep Residual Learning)
3	Image Classification (Vision Transformer) - (Slides)	Vision Transformer (ViT) PyTorch CIFAR-10 tutorial
4	Object Detection - (Slides)	R‑CNN paper Fast R‑CNN Faster R‑CNN YOLOv1 paper YOLOv2 / YOLO9000 SSD: Single Shot MultiBox Detector
5	Object Tracking - (Slides)	SORT (Simple Online Realtime Tracking) DeepSORT Trackformer (end‑to‑end tracking)
6	Segmentation Segmentation (Slides) (Semantic Annotation Tool)	FCN (Fully Convolutional Networks) Mask R‑CNN DeepLab v3+ (semantic segmentation)
7	Instance Segmentation (Slides) (Instance Annotation Tool)	FCN (Fully Convolutional Networks) Mask R‑CNN DeepLab v3+ (semantic segmentation)
8	Pose Estimation (Slides)(Colab) (Pose Annotation Tool)	OpenPose (bottom‑up) HRNet (high‑resolution networks) ViTPose (vision transformer based)
9	Generative Models (GANs, Diffusion, VLMs) (Slides)	GAN paper (Goodfellow) Denoising Diffusion Probabilistic Models (DDPM) CLIP (Vision‑Language Model) Stable Diffusion (latent diffusion) Diffusion models (review)
10	Exams Prep	-
11	Exams	-

Assignments

Assignment 1: Introduction
Due June 9th, 2026 – Click here to complete

Laboratory 1: Video Manipulation
Due June 11th, 2026 – ~~Click here to complete~~ - ~~Click here to submit~~ - Solution: Click to view

Laboratory 2: Image Classification
Due June 16th, 2026 - (Solution: Click here to view)

Laboratory 3: Vision Transformer in Action
Click here to view

Laboratory 4: Object Detection with Ultralytics
Due: June 23rd, 2026 - (Click here to view)

Laboratory 5: Object Tracking with Ultralytics
Due: June 25th, 2026 - (Click here to view)

Laboratory 6:Semantic Segmentation
Due: June 30th, 2026 - (Click here to view) (Solution: Click here to view)

Examp Prep
- (Click here to view)

Grading Policy

10%

Attendance

20%

Assignments

70%

Final Exam

📌 All assignments must be submitted on time. Late submissions incur a 10% penalty per day. The final project includes a written report, code, and a short presentation.

Resources

Meet the Team

Dr. Felix Gonda

Associate Professor, CS

Kuot Chol

Teaching Fellow

Nesnea Khadi

Teaching Fellow

Reeng Kuol

Teaching Fellow

Ayath Agany

Teaching Fellow

Adam Juma

Teaching Fellow

Ngor Wek Wek

Teaching Fellow

Emmanuel Deng

Teaching Fellow

Students

Student Name	Assignment 1	Assignment 2	Assignment 3	Assignment 4	Assignment 5	Assignment 6	Final Score
Reffgga Repent Ritti	100	100	100	100	100	100	30.0
Samuel Wei Gai	100	100	100	100	0	100	25.0
Abraham Makur Mayor Nyidier	100	100	0	100	100	100	25.0
Anibiko Samson Paulino	100	100	0	100	100	100	25.0
Kon David Khang Kon	100	100	100	100	100	0	25.0
Philip Mayom Aguek	100	0	100	100	100	100	25.0
Jovan alex John	100	100	0	100	100	100	25.0
Chol Abraham Madhier	100	0	100	100	100	100	25.0
Sunday Samuel michael koryom	100	100	0	100	90	100	24.5
MAGOK JACOB GENG	100	100	0	100	90	100	24.5
Dhieu Ajak Paul	100	0	100	100	90	100	24.5
Muranga Samuel Simon Duku	100	100	0	0	100	100	20.0
Wasia Charles Taban Ladu	100	0	100	100	0	100	20.0
JOHN KON DEU	100	0	0	100	100	100	20.0
Isaac Achiec Achiec	100	0	0	100	100	100	20.0
Samuel Yol Bol	100	0	0	100	51	90	17.05
Ayak Jackline Majok	100	0	0	100	100	0	15.0
Yohannes Majwang James	100	100	0	100	0	0	15.0
Buay Moses	0	0	100	100	0	100	15.0
Mary Ayen Marial Kawaja	0	0	0	100	100	100	15.0
Buoi Abraham	100	0	0	100	0	0	10.0
Gabriel Atem Panhom	100	0	100	0	0	0	10.0
Regina Nyalech Ngor	100	0	0	100	0	0	10.0
ALICE ANNA JOHN MATHEW	100	0	0	100	0	0	10.0
Isaac Vukeni Richard	100	0	0	100	0	0	10.0
Mary Anger Bol Kuach	100	100	0	0	0	0	10.0
AWAN MAJHOK AJANG	100	0	0	0	100	0	10.0
JOSEPH MADING MAGUT	0	0	0	100	100	0	10.0
Mathijin Tekjiek Reat	0	0	0	100	100	0	10.0
Kuot John Athian	100	0	0	0	0	0	5.0
Abraham Ajok Akuei	100	0	0	0	0	0	5.0
David Chol Ayuel Akech	100	0	0	0	0	0	5.0
James Ajak Akech	100	0	0	0	0	0	5.0
Alfred Agoth Kuot	100	0	0	0	0	0	5.0
Aluel James Deng	100	0	0	0	0	0	5.0
Daniel Clement Lenu	100	0	0	0	0	0	5.0
Aman Mabior Arem	100	0	0	0	0	0	5.0
William Wol Wol Bol	100	0	0	0	0	0	5.0
Michael Malek Makur Ikau	100	0	0	0	0	0	5.0
Bior Daniel Parmena	100	0	0	0	0	0	5.0
Adhar Magiir Akuei Chol	100	0	0	0	0	0	5.0
Peter mariak Atem	100	0	0	0	0	0	5.0
Edoko justin james	0	0	0	0	100	0	5.0
Amel Mayen Angony	0	0	0	100	0	0	5.0
Deng Wol	0	0	0	100	0	0	5.0