Power Electronics

Power Electronics This course covers modeling, analysis, and design of power electronic circuits used for efficient energy conversion and control, including rectifiers, DC-DC converters, inverters, magnetics, loss/thermal design, control, EMI, and advanced soft-switching/resonant techniques. Enroll No Certificate / Course on . . .

Tissue Processing in Histopathology and Cytopathology

Tissue Processing in Histopathology and Cytopathology This course introduces learners to digital course authoring using curated publicly available content. It focuses on selecting, organizing, and integrating digital resources into effective academic courses. Go to Course No Certificate / Course on . . .

Bone Imaging in Nuclear Medicine

Bone Imaging in Nuclear Medicine This course introduces the fundamentals of Nuclear Medicine Bone Scanning, including radiopharmaceuticals, imaging protocols, patient preparation, image acquisition, and basic image interpretation. It focuses on identifying common skeletal disorders while ensuring radiation safety and quality . . .

Introduction to Biomedical Imaging Systems

Introduction to Biomedical Imaging Systems Biomedical Imaging Systems is an intermediate-level course that explores the physical principles and mathematical foundations of modern medical imaging. It covers X-ray and CT systems, Fourier analysis, and image quality evaluation (MTF, SNR, resolution, noise), . . .

Deep Learning for Computer Vision

Deep Learning for Computer Vision Deep Learning for Computer Vision introduces students to how modern neural networks enable machines to understand visual data. The course covers key tasks like image classification and object detection, while teaching learners how to build, . . .

Data Structures

Data Structures This course introduces the fundamental concepts of data structures and their role in efficient problem solving. It covers linear and non-linear data structures such as arrays, linked lists, stacks, queues, trees, graphs, and sorting techniques. Students will learn . . .

Introduction to Machine Learning

Introduction to Machine Learning This course introduces the principles and practices of machine learning, covering learning algorithms, feature representation, model training, generalization, and optimization techniques for building accurate and reliable predictive models Go to Course No Certificate / Course on . . .