Computer Architecture | Engineering | UC Berkeley

UC Berkeley

Comprehensive course on computer architecture and engineering at UC Berkeley, covering processor design, memory hierarchy, and I/O systems. Hands-on projects and industry-leading instruction.

University CoursesComputer ArchitectureComputer Engineering

Introduction

CS 152 is a course on computer architecture and engineering, offered at UC Berkeley. The course covers the fundamental principles and design of modern computer systems, including processor design, memory hierarchy, and input/output systems.

screenshot

Highlights

Comprehensive coverage of computer architecture and engineering concepts
Hands-on projects and lab assignments to reinforce learning
Taught by experienced faculty at a top-ranked university
Utilizes the latest research and industry trends in computer hardware design

Recommendation

This course is highly recommended for students interested in computer engineering, computer science, or electrical engineering. It provides a strong foundation in the principles of computer architecture and design, which are essential for understanding and developing modern computer systems.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Basic Computer Architecture

Technical TutorialsCompilerComputer EngineeringComputer Science

Explore the fundamental concepts of computer architecture with this comprehensive book, now available under a Creative Commons license.

Great Ideas in Computer Architecture | Machine Structures | UC Berkeley

University CoursesC

Explore fundamental concepts in computer architecture, including C and assembly programming, caches, performance measurement, and parallelism. Gain valuable skills for computer science and engineering.

Computation Structures | Digital Systems Design | Hardware-Software Intersection

University CoursesComputer Architecture

Explore the fundamentals of computation structures with MIT's 6.004 course, covering digital system architecture, hardware-software integration, and contemporary software structures.

Introduction to the Internet: Architecture and Protocols | CS 168 - UC Berkeley

University Courses

Comprehensive course on the fundamental design principles and architecture of the Internet, covering key protocols and technologies. Ideal for students interested in networking and internet infrastructure.

Systems Programming | C Language | UNIX/Linux

University CoursesC

Gain a deep understanding of system programming and develop skills to write high-performance, low-level software like web servers and multiplayer internet games.

Distributed Systems | CS 425 - Univ of Illinois, Urbana-Champaign

University CoursesComputer ScienceDistributed Systems

Comprehensive course covering fundamental concepts in distributed systems, including vector clocks, consensus, and Paxos. Taught by experienced professor Indranil Gupta.

Cloud Computing | Cornell University CS 5412

University CoursesCloud ComputingDistributed Systems

Explore the technology of cloud computing, including cloud architecture, scalability, and security. Taught by industry expert Ken Birman.

Computer Architecture | CSCI 360 | CUNY Hunter College

University CoursesComputer ArchitectureGPU Programming

Dive into advanced computer architecture topics like cache design, memory hierarchies, and multiprocessors, including in-depth coverage of GPUs and hands-on CUDA programming.

Parallel Computing | CSCI 493.75 - CUNY Hunter College

University CoursesCC++

Dive into parallel algorithms and programming with C/C++, MPI, and OpenMP. Gain hands-on experience and understand the principles of high-performance computing.