Learn Before
The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor
Learners will build a clear mental model of how data moves across modern networks by exploring layered architectures, encapsulation, and essential hardware. You will trace end-to-end communication pathways using critical addressing schemes and protocols, including MAC, IP, DNS, and TCP. Through practical analyses of bandwidth, latency, and operational trade-offs, you will gain the foundational knowledge needed to evaluate network performance and troubleshoot connectivity concepts.
0
1
Tags
Prep Sessions
Related
Transformer Architecture and Large Language Model Capabilities @ University of Michigan - Ann Arbor
Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor
Learn After
Ch.1 Network Fundamentals - The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor
Introduction-to-Computer-Networking.pdf
Networking-Quick-Facts.txt
Ch.2 Addressing and Identification - The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor
Networking-Key-Protocols.pptx
Ch.3 Core Internet Protocols - The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor
Networking-Case-Studies.docx
Ch.4 Network Performance and Metrics - The Architecture of Connected Systems: Tracing End-to-End Data Flow @ University of Michigan - Ann Arbor