독학 프로그래머로서 다시 학교에 가지 않고 학문적 기초를 얻으려면 어떻게해야합니까? [닫은]

나는 스스로 가르치는 프로그래머로서 꽤 좋은 삶을 살았지만 CS 학위를 가진 동료들과 저수준의 기본 주제에 대해 토론하면 내 지식에 구멍이 나타납니다. 나는 큰 그림 (아키텍처) 녀석이므로 오랫동안 이것을 귀찮게하지는 않았지만 최근에 학교에 가지 않고도이 기초를 배우는 데 도움이 될 수있는 접근법이 있는지 궁금했습니다. 추천 할만한 책, 웹 사이트 또는 비디오가 있습니까?

이것은 몇 주 동안 당신을 바쁘게 유지해야합니다 :

전기 공학 및 컴퓨터 과학 | MIT OpenCourseWare | 무료 온라인 강의 자료

Course #    Course Title
6.00SC  Introduction to Computer Science and Programming (Spring 2011)  Undergraduate
6.00    Introduction to Computer Science and Programming (Fall 2008) 
6.01SC  Introduction to Electrical Engineering and Computer Science I 
6.001   Structure and Interpretation of Computer Programs 
6.002   Circuits and Electronics 
6.003   Signals and Systems 
6.004   Computation Structures 
6.005   Elements of Software Construction (Fall 2011) 
6.005   Elements of Software Construction (Fall 2008) 
6.006   Introduction to Algorithms (Fall 2011) 
6.006   Introduction to Algorithms (Spring 2008) 
6.007   Electromagnetic Energy: From Motors to Lasers 
6.011   Introduction to Communication, Control, and Signal Processing (Spring 2010) 
6.011   Introduction to Communication, Control, and Signal Processing (Spring 2004) 
6.012   Microelectronic Devices and Circuits (Spring 2009) 
6.012   Microelectronic Devices and Circuits (Fall 2009) 
6.012   Microelectronic Devices and Circuits (Fall 2005) 
6.013   Electromagnetics and Applications (Spring 2009) 
6.013   Electromagnetics and Applications (Fall 2005) 
6.021J  Quantitative Physiology: Cells and Tissues (Fall 2004) 
6.022J  Quantitative Physiology: Organ Transport Systems 
6.023J  Fields, Forces and Flows in Biological Systems 
6.024J  Molecular, Cellular, and Tissue Biomechanics 
6.025J  Introduction to Bioengineering (BE.010J) 
6.033   Computer System Engineering 
6.034   Artificial Intelligence (Fall 2010) 
6.034   Artificial Intelligence (Spring 2005) 
6.035   Computer Language Engineering 
6.035   Computer Language Engineering (SMA 5502) 
6.041   Probabilistic Systems Analysis and Applied Probability (Fall 2010) 
6.041   Probabilistic Systems Analysis and Applied Probability (Spring 2006) 
6.042J  Mathematics for Computer Science (Spring 2010) 
6.042J  Mathematics for Computer Science (Fall 2010) 
6.042J  Mathematics for Computer Science (Spring 2005) 
6.042J  Mathematics for Computer Science (Fall 2005) 
6.045J  Automata, Computability, and Complexity 
6.046J  Introduction to Algorithms (SMA 5503) 
6.047   Computational Biology: Genomes, Networks, Evolution (Fall 2008) 
6.050J  Information and Entropy 
6.055J  The Art of Approximation in Science and Engineering 
6.061   Introduction to Electric Power Systems (Spring 2011) 
6.071J  Introduction to Electronics, Signals, and Measurement 
6.079   Introduction to Convex Optimization (Fall 2009) 
6.07J   Projects in Microscale Engineering for the Life Sciences 
6.080   Great Ideas in Theoretical Computer Science (Spring 2008) 
6.087   Practical Programming in C 
6.088   Introduction to C Memory Management and C++ Object-Oriented Programming 
6.089   Great Ideas in Theoretical Computer Science (Spring 2008) 
6.090   Building Programming Experience: A Lead-In to 6.001 
6.091   Hands-On Introduction to Electrical Engineering Lab Skills 
6.092   Introduction to Programming in Java 
6.092   Java Preparation for 6.170 
6.092   Bioinformatics and Proteomics 
6.094   Introduction to MATLAB 
6.096   Introduction to C++ 
6.096   Algorithms for Computational Biology 
6.097   Fundamentals of Photonics: Quantum Electronics (Spring 2006) 
6.099   Street-Fighting Mathematics 
6.101   Introductory Analog Electronics Laboratory 
6.111   Introductory Digital Systems Laboratory (Spring 2006) 
6.111   Introductory Digital Systems Laboratory (Fall 2002) 
6.152J  Micro/Nano Processing Technology 
6.161   Modern Optics Project Laboratory (Fall 2005) 
6.163   Strobe Project Laboratory 
6.170   Laboratory in Software Engineering 
6.171   Software Engineering for Web Applications 
6.172   Performance Engineering of Software Systems 
6.186   Mobile Autonomous Systems Laboratory 
6.189   A Gentle Introduction to Programming Using Python (January IAP 2011) 
6.189   A Gentle Introduction to Programming Using Python (January IAP 2008) 
6.189   Multicore Programming Primer 
6.207J  Networks 
6.270   Autonomous Robot Design Competition 
6.338J  Parallel Computing 
6.370   Robocraft Programming Competition 
6.431   Probabilistic Systems Analysis and Applied Probability (Fall 2010) 
6.521J  Quantitative Physiology: Cells and Tissues (Fall 2004) 
6.637   Modern Optics Project Laboratory (Fall 2005) 
6.701   Introduction to Nanoelectronics (Spring 2010) 
6.801   Machine Vision (Fall 2004) 
6.803   The Human Intelligence Enterprise (Spring 2006) 
6.803   The Human Intelligence Enterprise (Spring 2002) 
6.804J  Computational Cognitive Science 
6.805   Ethics and the Law on the Electronic Frontier (Fall 2005) 
6.806   Ethics and the Law on the Electronic Frontier (Fall 2005) 
6.813   User Interface Design and Implementation (Spring 2011) 
6.814   Database Systems (Fall 2010) 
6.830   Database Systems (Fall 2010) 
6.831   User Interface Design and Implementation (Spring 2011) 
6.837   Computer Graphics 
6.857   Network and Computer Security 
6.901   Inventions and Patents 
6.911   Transcribing Prosodic Structure of Spoken Utterances with ToBI 
6.912   Introduction to Copyright Law 
6.930   Management in Engineering 
6.974   Fundamentals of Photonics: Quantum Electronics (Spring 2006) 
6.976   NextLab I: Designing Mobile Technologies for the Next Billion Users 
6.S096  Introduction to C and C++ 
6.231   Dynamic Programming and Stochastic Control 
6.241J  Dynamic Systems and Control 
6.243J  Dynamics of Nonlinear Systems 
6.245   Multivariable Control Systems 
6.251J  Introduction to Mathematical Programming 
6.252J  Nonlinear Programming (Spring 2004) 
6.252J  Nonlinear Programming (Spring 2003) 
6.253   Convex Analysis and Optimization 
6.254   Game Theory with Engineering Applications 
6.255J  Optimization Methods 
6.262   Discrete Stochastic Processes 
6.263J  Data Communication Networks 
6.264J  Queues: Theory and Applications 
6.281J  Logistical and Transportation Planning Methods (Fall 2006) 
6.281J  Logistical and Transportation Planning Methods (Fall 2004) 
6.301   Solid-State Circuits 
6.302   Feedback Systems 
6.331   Advanced Circuit Techniques 
6.334   Power Electronics 
6.336J  Introduction to Numerical Simulation (SMA 5211) 
6.337J  Introduction to Numerical Methods 
6.339J  Numerical Methods for Partial Differential Equations (SMA 5212) 
6.341   Discrete-Time Signal Processing 
6.345   Automatic Speech Recognition 
6.374   Analysis and Design of Digital Integrated Circuits 
6.431   Probabilistic Systems Analysis and Applied Probability (Spring 2006) 
6.432   Stochastic Processes, Detection, and Estimation 
6.435   System Identification 
6.436J  Fundamentals of Probability 
6.441   Information Theory 
6.443J  Quantum Information Science 
6.450   Principles of Digital Communication I 
6.450   Principles of Digital Communications I 
6.451   Principles of Digital Communication II 
6.452   Principles of Wireless Communications 
6.453   Quantum Optical Communication 
6.524J  Molecular, Cellular and Tissue Biomechanics (BE.410J) 
6.541J  Speech Communication 
6.542J  Laboratory on the Physiology, Acoustics, and Perception of Speech 
6.543J  The Lexicon and Its Features 
6.551J  Acoustics of Speech and Hearing 
6.555J  Biomedical Signal and Image Processing 
6.561J  Fields, Forces, and Flows in Biological Systems (BE.430J) 
6.581J  Foundations of Algorithms and Computational Techniques in Systems Biology 
6.630   Electromagnetics 
6.632   Electromagnetic Wave Theory 
6.635   Advanced Electromagnetism 
6.637   Optical Signals, Devices, and Systems 
6.641   Electromagnetic Fields, Forces, and Motion (Spring 2009) 
6.641   Electromagnetic Fields, Forces, and Motion (Spring 2005) 
6.642   Continuum Electromechanics 
6.651J  Introduction to Plasma Physics I (Fall 2006) 
6.651J  Introduction to Plasma Physics I (Fall 2003) 
6.661   Receivers, Antennas, and Signals 
6.685   Electric Machines 
6.690   Introduction to Electric Power Systems (Spring 2011) 
6.691   Seminar in Electric Power Systems 
6.695   Engineering, Economics and Regulation of the Electric Power Sector (Spring 2010) 
6.719   Introduction to Nanoelectronics (Spring 2010) 
6.720J  Integrated Microelectronic Devices 
6.728   Applied Quantum and Statistical Physics 
6.730   Physics for Solid-State Applications 
6.763   Applied Superconductivity 
6.772   Compound Semiconductor Devices 
6.774   Physics of Microfabrication: Front End Processing 
6.776   High Speed Communication Circuits 
6.777J  Design and Fabrication of Microelectromechanical Devices 
6.780   Semiconductor Manufacturing 
6.780J  Control of Manufacturing Processes (SMA 6303) 
6.781J  Submicrometer and Nanometer Technology 
6.821   Programming Languages 
6.823   Computer System Architecture 
6.824   Distributed Computer Systems Engineering 
6.825   Techniques in Artificial Intelligence (SMA 5504) 
6.826   Principles of Computer Systems 
6.827   Multithreaded Parallelism: Languages and Compilers 
6.828   Operating System Engineering 
6.829   Computer Networks 
6.832   Underactuated Robotics 
6.833   The Human Intelligence Enterprise (Spring 2006) 
6.833   The Human Intelligence Enterprise (Spring 2002) 
6.834J  Cognitive Robotics 
6.838   Algorithms for Computer Animation 
6.840J  Theory of Computation 
6.841J  Advanced Complexity Theory 
6.844   Computability Theory of and with Scheme 
6.845   Quantum Complexity Theory 
6.851   Advanced Data Structures 
6.852J  Distributed Algorithms 
6.854J  Advanced Algorithms (Fall 2008) 
6.854J  Advanced Algorithms (Fall 2005) 
6.855J  Network Optimization 
6.856J  Randomized Algorithms 
6.859J  Integer Programming and Combinatorial Optimization 
6.863J  Natural Language and the Computer Representation of Knowledge 
6.864   Advanced Natural Language Processing 
6.866   Machine Vision (Fall 2004) 
6.867   Machine Learning 
6.868J  The Society of Mind 
6.871   Knowledge-Based Applications Systems 
6.872   Biomedical Computing 
6.872J  Medical Computing 
6.873J  Medical Decision Support (Fall 2005) 
6.873J  Medical Decision Support (Spring 2003) 
6.874J  Computational Functional Genomics 
6.875   Cryptography and Cryptanalysis 
6.876J  Advanced Topics in Cryptography 
6.877J  Computational Evolutionary Biology (Fall 2005) 
6.878   Computational Biology: Genomes, Networks, Evolution (Fall 2008) 
6.881   Representation and Modeling for Image Analysis 
6.883   Pervasive Human Centric Computing (SMA 5508) 
6.883   Program Analysis 
6.884   Complex Digital Systems 
6.891   Computational Evolutionary Biology (Fall 2004) 
6.892   Computational Models of Discourse 
6.895   Essential Coding Theory 
6.895   Theory of Parallel Systems (SMA 5509) 
6.896   Theory of Parallel Hardware (SMA 5511) 
6.897   Selected Topics in Cryptography 
6.931   Development of Inventions and Creative Ideas 
6.933J  The Structure of Engineering Revolutions 
6.938   Engineering Risk-Benefit Analysis 
6.945   Adventures in Advanced Symbolic Programming 
6.946J  Classical Mechanics: A Computational Approach 
6.971   Biomedical Devices Design Laboratory 
6.972   Algebraic Techniques and Semidefinite Optimization 
6.973   Communication System Design 
6.973   Organic Optoelectronics 
6.974   Engineering, Economics and Regulation of the Electric Power Sector (Spring 2010) 
6.975   Introduction to Convex Optimization (Fall 2009) 
6.976   High Speed Communication Circuits and Systems 
6.977   Ultrafast Optics 
6.977   Semiconductor Optoelectronics: Theory and Design 
6.978J  Communications and Information Policy 
6.982J  Teaching College-Level Science and Engineering (Fall 2012) 
6.982J  Teaching College-Level Science and Engineering (Spring 2009) 

책에서 많은 것을 배웠기 때문에 책의 관점에서 생각하는 경향이 있습니다.

프로그래밍 기술의 기초에 대해 배울 수있는 좋은 책들이 많이 있습니다. 목록의 맨 위에 다음을 넣었습니다.

• 코드 완성, 2nd Edn

주로 언어에 구애받지 않으며, 이유와 그 이유에 대해 설명하고 페이지의 많은 근거를 다룹니다.

나는 다른 몇 가지 일반적인 책을 좋아한다-나의 배경은 나에게 강한 유닉스 편견을 준다 :

• 프로그래밍 실습
• 유닉스 프로그래밍의 기술

Knuth의 "컴퓨터 프로그래밍 기술"은 여러면에서 우수하지만 읽을만한 책들입니다.

알고리즘에 관한 일부 책을 유용하게 볼 수 있습니다. 많은 책이 있습니다.

그 후, 그것은 당신의 주요 관심 분야와 직업적 의무가 어디에 있는지에 달려 있습니다. 적절한 것은 전문화해야 할 곳에 따라 다릅니다. 관계형 데이터베이스에 대한 일반적인 배경으로 CJ Date의 "데이터베이스 시스템 소개"를 참조 할 수 있습니다.

다른 가능한 경쟁자 :

• 디자인 패턴
• 리팩토링
• 깨끗한 코드

다소 다른 맥락에서, "Software Fundamentals : David L Parnas의 수집 된 논문"은 흥미있는 읽기이지만 우선 순위 목록의 최상위에 있지는 않습니다.

컴퓨터 프로그램 의 구조와 해석 (Structure and Interpretation of Computer Programs) 책 을 밟고 연습 을한다면, 꽤 견고한 토대가 될 것입니다.

다음은 가장 유명한 온라인 학술 수준의 학습 포털 목록입니다 (컴퓨터 과학 범주 확인).

• edx
• 대담
• 코스 라

MIT, Stanford와 같은 세계 최고의 대학에서 수강 한 코스는 실제 중기, 기말 시험에 응시 한 후 수료증을 소지하고 숙제를 제출할 수 있습니다.)

그것은 몇 년 동안 당신을 바쁘게 할 수 있습니다 :)

MIT의 경우 OpenCourseWare edx는 MIT에 많은 클래스가 있으므로 후속 작업이 될 수 있습니다!

일반적으로 무료 또는 매우 저렴한 비용으로 고품질의 아카데믹 코스를 온라인에서 제공하는 경향이 현재 대학에서 발생하고 있습니다. 이 위키 백과 항목을 확인하십시오 .

내가 아주 좋은 것으로 생각하는 몇 가지 책과 주제가 있습니다. 다른 많은 것들이 있지만 이것들은 견고한 CS 교육을 향한 먼 길을 갈 것 입니다. 나는이 주제들에 관한 다른 책들을 보았고 이것들 -IMO-는 전문가 수준에서 문제를 신중하게 고려하는 데 필요한 깊이를 제공합니다.

코만 알고리즘

Russel & Norvig의 AI : 현대적인 접근 방식

Money & Harris의 디지털 디자인.

Hopcroft & Ullman의 오토마타 이론 소개

Aho, Ullman, Sethi의 컴파일러, 일명 "드래곤 북"

이 책들 중 어느 것도 친숙한 빠른 소화 Apress 또는 O'Reilly 책은 아닙니다. 그것은 그들의 목적이 아닙니다. 그들은 실제로 많은 코드를 제공하지는 않지만 (Dior는 디지털 디자인, 노인을위한 것이 아닙니다) 보통 보통 상당한 양의 수학을 제공합니다. 더 깊은 것들로 이동할 때 이해의 어려움은 기하 급수적 으로 증가 합니다 .