This page outlines the weekly schedule for lectures, labs, assignments, and examinations. The schedule will be updated regularly to align with the University of Juba's academic calendar and holiday schedule. Reading materials, lecture slides, and lab materials will be accessible through this schedule, with links provided for downloading prior to the commencement of each lecture or lab session. If you encounter any difficulties or have questions, please contact the lead Teaching Fellow, Thiong Abraham.
Week 2
March 11th and 13th, 2025Image Classification
This lecture provides a comprehensive introduction to image classification, a core computer vision task, beginning with an overview of its fundamental principles and diverse applications. The session delves into the algorithmic foundations, highlighting the pivotal role of Convolutional Neural Networks (CNNs) in learning hierarchical image features. Various CNN architectures, including ResNet, VGG, and Inception, are explored, emphasizing their unique strengths and design considerations. The lecture culminates in a hands-on lab exercise where participants apply their newfound knowledge to classify African wildlife images, utilizing a provided dataset and pre-trained models. This practical component allows students to solidify their understanding of CNNs and their application in real-world scenarios, specifically focusing on the identification of species like buffalo, elephant, rhino, and zebra, thereby bridging theoretical concepts with practical implementation.
Week 1
March 4th and 6th, 2025Introduction and Logistics
This module introduces the course materials to students and gives an overview of Computer Vision, its tasks, applications, and the state of the art.