Computer Repair Technician
April 13, 2024
Updated April 20, 2025
16 minute read
Computer Repair Technician: A Career Overview
A Computer Repair Technician is a professional who specializes in diagnosing, repairing, and maintaining computer hardware and software systems. They are the problem-solvers called upon when desktops, laptops, servers, or peripherals malfunction. Their work ensures that individuals and organizations can continue using their essential technology tools with minimal disruption.
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Find a path to becoming a Computer Repair Technician. Learn more at:
OpenCourser.com/career/q2dhx6/computer
Reading list
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Provides a practical guide to troubleshooting hardware problems, covering topics such as POST codes, memory testing, and component replacement.
Provides a detailed overview of computer architecture and logical design, covering topics such as instruction sets, pipelining, and cache coherence.
Provides a broad overview of problem solving and uncertainty, discussing topics such as probability, statistics, decision theory, and artificial intelligence. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Provides a practical guide to troubleshooting computer hardware, covering topics such as POST codes, memory testing, and component replacement.
Provides a comprehensive overview of artificial intelligence, covering topics such as machine learning, natural language processing, computer vision, and robotics. It is written in a clear and engaging style, making it a good choice for readers who want to learn about AI from a broad perspective.
Provides a comprehensive overview of digital design and computer architecture, covering topics such as logic gates, sequential circuits, and computer organization.
Provides a comprehensive overview of electronics troubleshooting and repair, covering topics such as circuit analysis, component testing, and soldering techniques.
Provides a practical introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It is written in a clear and concise style, making it a good choice for readers who want to learn about machine learning from a practical perspective.
This concise textbook covers the essential concepts of electric circuits in a clear and accessible manner. It is suitable for introductory courses in electrical engineering and is also a valuable reference for practicing engineers.
Provides a comprehensive overview of embedded hardware design and development, covering topics such as microcontrollers, memory management, and power consumption.
Provides a practical guide to troubleshooting and repairing personal computers, covering topics such as hardware diagnostics, component replacement, and software troubleshooting.
Focuses on fault-tolerant computer systems design, covering topics such as fault detection, error correction, and system recovery.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is written in a clear and engaging style, making it a good choice for readers who want to learn about deep learning from a theoretical and practical perspective.
This introductory textbook provides a comprehensive overview of the analysis of electric circuits. It covers both DC and AC circuits and includes a strong emphasis on problem-solving.
Focuses on troubleshooting and repairing laptop computers, covering topics such as hardware diagnostics, component replacement, and software troubleshooting.
This textbook provides a comprehensive introduction to the fundamentals of electric circuits. It is written in a clear and concise manner and includes a large number of solved examples.
Focuses on troubleshooting and repairing major home appliances, such as refrigerators, ovens, and washing machines, and can be useful for those interested in troubleshooting household appliances.
This introductory book is written in a clear and engaging style, making it a great choice for students who are new to the subject of electric circuits. The authors emphasize practical applications and real-world examples of electric circuits.
Provides a comprehensive guide to the Raspberry Pi, covering topics such as setting up the Raspberry Pi, programming, and interfacing with peripherals.
Focuses on PIC microcontrollers, covering topics such as programming, interfacing, and debugging.
Provides a comprehensive overview of reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradients. It is written in a clear and concise style, making it a good choice for readers who want to learn about reinforcement learning from a theoretical and practical perspective.
Provides a quick-start guide to Arduino, covering topics such as setting up the Arduino environment, programming, and interfacing with sensors and actuators.
Provides a comprehensive overview of causal inference, covering topics such as graphical models, counterfactuals, and structural equation models. It is written in a clear and concise style, making it a good choice for readers who want to learn about causal inference from a theoretical and practical perspective.
Provides a comprehensive overview of Bayesian reasoning and machine learning, covering topics such as probability theory, Bayesian inference, and graphical models. It is written in a clear and concise style, making it a good choice for readers who want to learn about Bayesian reasoning and machine learning from a theoretical and practical perspective.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/q2dhx6/computer
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