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CS GRE: Difference between revisions
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|System analysis and development tools | |System analysis and development tools | ||
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|colspan=2|'''COMPUTER ORGANIZATION AND [[Architecture|ARCHITECTURE]] - 15%''' | |||
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|colspan=2| Digital logic design | |||
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| Implementation of combinational and sequential circuits | |||
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| Optimization and analysis | |||
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|colspan=2| Processors and control units | |||
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| Instruction sets | |||
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| Computer arithmetic and number representation | |||
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| Register and ALU organization | |||
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| Data paths and control sequencing | |||
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|colspan=2| Memories and their hierarchies | |||
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| Performance, implementation, and management | |||
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| Cache, main, and secondary storage | |||
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| Virtual memory, paging, and segmentation | |||
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|colspan=2| Networking and communications | |||
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| Interconnect structures (e.g., buses, switches, routers) | |||
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| I/O systems and protocols | |||
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| Synchronization | |||
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|colspan=2| High-performance architectures | |||
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| Pipelining superscalar and out-of-order execution processors | |||
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| Parallel and distributed architectures | |||
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|colspan=2|'''THEORY AND MATHEMATICAL BACKGROUND - 40%''' | |||
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|colspan=2| Algorithms and complexity | |||
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| Exact and asymptotic analysis of specific algorithms | |||
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| Algorithmic design techniques (e.g. greedy, dynamic programming, divide and conquer) | |||
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| Upper and lower bounds on the complexity of specific problems | |||
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| Computational complexity, including NP-completeness | |||
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|colspan=2| Automata and language theory | |||
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| Models of computation (finite automata, Turing machines) | |||
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| Formal languages and grammars (regular and context free) | |||
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| Decidability | |||
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|colspan=2| Discrete structures | |||
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| Mathematical logic | |||
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| Elementary combinatorics and graph theory | |||
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| Discrete probability, recurrence relations, and number theory | |||
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|colspan=2|'''OTHER TOPICS - 5%''' | |||
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|Example areas include numerical analysis, artificial intelligence, computer graphics, cryptography, security, and social issues. | |||
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==Books used to prepare== | ==Books used to prepare== |
Revision as of 16:50, 1 August 2009
Anything above a 800 (it's on a 200-990-point scale) seems pretty good. It appears that quality single-volume preparation materials cannot be had at any price. Perhaps one ought be written?
- ETS Practice Booklet (PDF), from the Computer Science Exam page
(This second link is pretty dubiously-formed; YMMV. Go to the GRE page, click on Subject Info details, click on Computer Science Dank 14:58, 30 July 2009 (UTC))
Subject Material
Area (outline taken from the ETS CS GRE page, 2009-07-30 1500 UTC) | References |
---|---|
SOFTWARE SYSTEMS AND METHODOLOGY - 40% | |
Data Organization | |
Data types | |
Data structures and implementation techniques | |
Program control and structure | |
Iteration and recursion | |
Procedures, functions, methods, and exception handlers | |
Concurrency, communication, and synchronization | |
Programming languages and notation | |
Constructs for data organization and program control | |
Scope, binding, and parameter passing | |
Expression evaluation | |
Software engineering | |
Formal specifications and assertions | |
Verification techniques | |
Software development models, patterns, and tools | |
Systems | |
Compilers, interpreters, and run-time systems | |
Operating systems, including resource management and protection/security | |
Networking, Internet, and distributed systems | |
Databases | |
System analysis and development tools | |
COMPUTER ORGANIZATION AND ARCHITECTURE - 15% | |
Digital logic design | |
Implementation of combinational and sequential circuits | |
Optimization and analysis | |
Processors and control units | |
Instruction sets | |
Computer arithmetic and number representation | |
Register and ALU organization | |
Data paths and control sequencing | |
Memories and their hierarchies | |
Performance, implementation, and management | |
Cache, main, and secondary storage | |
Virtual memory, paging, and segmentation | |
Networking and communications | |
Interconnect structures (e.g., buses, switches, routers) | |
I/O systems and protocols | |
Synchronization | |
High-performance architectures | |
Pipelining superscalar and out-of-order execution processors | |
Parallel and distributed architectures | |
THEORY AND MATHEMATICAL BACKGROUND - 40% | |
Algorithms and complexity | |
Exact and asymptotic analysis of specific algorithms | |
Algorithmic design techniques (e.g. greedy, dynamic programming, divide and conquer) | |
Upper and lower bounds on the complexity of specific problems | |
Computational complexity, including NP-completeness | |
Automata and language theory | |
Models of computation (finite automata, Turing machines) | |
Formal languages and grammars (regular and context free) | |
Decidability | |
Discrete structures | |
Mathematical logic | |
Elementary combinatorics and graph theory | |
Discrete probability, recurrence relations, and number theory | |
OTHER TOPICS - 5% | |
Example areas include numerical analysis, artificial intelligence, computer graphics, cryptography, security, and social issues. |
Books used to prepare
- Software Systems and Methodology
- Peter Van Roy and Seif Haridi, Concepts, Techniques, and Models of Computer Programming, 1st Edition
- Harold Abelson and Gerald Jay Sussman, Structure and Interpretation of Computer Programs, 2nd Edition
- Computer Organization and Architecture
- John Hennessy and David Patterson, Computer Architecture: A Quantitative Approach, 4th Edition
- Theory and Mathematical Background
- Thomas Cormen, Charles Leiserson and Ron Rivest, Introduction to Algorithms, 1st Edition
- Michael Sipser, Introduction to the Theory of Computation, 1st Edition