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Thread: Advice needed for GRE CS prep - Test on April 14 , 2007

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    Advice needed for GRE CS prep - Test on April 14 , 2007

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    Dear Friends,


    I have registered for the GRE CS test to be held on April 14 2007.
    This means i have about three months for preparation.

    I have an undergraduate degree in Software Engineering ( CS ) ,which i took in what looks way back , in 2000.

    I have worked in the industry for 6 years , in the fields of embedded systems design and development , as well as in software quality assurance.

    Based on my profile and the time available for preparation, what would you advise on the best way to prepare for the test. Which books to follow , what tips and tricks can i exploit , what routine , i.e. number of hours of study each day , etc etc would you suggest.

    This , as well as any other relevant advice is more than welcome .

    thanks in advance, and regards
    Taha

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    TestMagic Guru CalmLogic's Avatar
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    Some of the advice in this forum has been:

    - Study as much as you can since it is impossible to overprepare. This will likely be the hardest test you will ever take. It is not easy studying for this exam because it covers so many different topics.

    - Don't obsess about any particular topic since the test covers a wide range of material.

    - Start studying today since you cannot cram for this test. The amount of time you need to study each day depends on how well you currently do on the practice test in the GRE CS booklet.

    - In order to help remember everything, create an outline.

    - Solving problems is better preparation for the test than reading textbooks chapter-by-chapter.

    My own advice is that procrastination is the greatest enemy, so it may help to feel a sense of urgency now if you don't feel a sense of urgency already. Pretend the test is just a few weeks away.

    Regarding which books and materials to use, I would read the archives to see what others have suggested since this forum is relatively dead most of the time. The most popular suggestion other than the official practice booklet has been the Titanium Bits Study Guide, which includes sample problems with explanations and a recommended reading list.
    Last edited by CalmLogic; 01-13-2007 at 07:14 PM.

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    Computer Organization ???

    Calm,

    Can you suggest the book for Digital Logic Design topic of the syllabus?

    I have been going through the past posts in this forum. Got a hell lot of stuff. But which book do we use for Digital Logic Design?

    There are two books by Hennessy-Patterson. The Quantitative approach one and the other titled "Computer Organisation and Design" ... Which one do we use??

    Or do we use Stallings or Hayes ???

    Can't make my mind here. Have read Hayes before ... Haven't been too impressed with it.

    Any suggestions??

    Ashish

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    2 out of 2 members found this post helpful. Good post? Yes | No
    There are two books by Hennessy-Patterson. The Quantitative approach one and the other titled "Computer Organisation and Design" ... Which one do we use??
    Though I have not read the computer architecture books you mentioned from the Titanium Bits reading list, the textbooks I have used for computer architecture were often less helpful than Wikipedia articles. So I don't think a textbook is necessary for computer architecture. I mostly use Wikipedia (see articles below), the Schaum's Outline of Computer Architecture, Titanium Bits, and online course materials (see links below).

    If you do want to get a textbook on computer architecture, I would get the 2nd edition of Hennessy-Patterson's Computer Organization and Design: The Hardware/Software Interface though I have not read the book. The Hardware/Software interface textbook continues to be the most popular book on computer architecture and it's probably not worth paying extra for the latest, 3rd edition. I wouldn't get the Quantitative Approach book since that may not cover the vital areas as well as it is more intended for grad school.

    For digital logic, a popular book is Contemporary Logic Design by Katz, et. al. You can read 2 sample chapters, one of which includes examples with K-maps. Personally, I don't have the book and use the Shaum's Outlines, Wikipedia, and Google instead.

    Below is my latest collection of study links (check back for updates):

    (Please let me know if you see any broken/invalid links or have suggestions.)

    Sample Problems (MOST IMPORTANT!):
    Official ETS Booklet for GRE CS (solutions by students at Yahoo GRECS group)
    Titanium Bits (2006) (117 pages; 102 problems with detailed solutions)
    Mock GRE CS (2007)
    (70 questions; automatic scoring with section-wise breakup; see javascript code if you want the answer key)

    Study Outlines/Guides (valuable but inherently limited):
    GRE CS Exam Study Guide (66 pages)
    Hunter Thinks Study Guide (30 pages)
    CS GRE Notes by Berkeley Students (41 pages)
    Aaah.. the Subject Test (breaks down number of questions for each subject area; lists current/former GRE CS committee members)

    Caution: The links below can distract you from solving practice problems, which is most important. Use the links below mostly as supplemental materials or references.

    Free Sample Chapters:
    Contemporary Logic Design by Katz (first 2 chapters)
    Discrete Structures, Logic, & Computability (first 5 chapters)
    Essentials of Computer Organization & Architecture (3 chapters)
    Object-Oriented Data Structures Using Java (first 3 chapters)
    C++ Plus Data Structures (3 chapters incl. binary search trees and linked lists)
    "Purple dragon book" on Compilers - 2nd Edition (chapters 5-11 incl. a chapter on run-time environments; popular book)

    ArsDigita University Courseware (videos, lecture notes, problem sets with solutions):
    Theory of Computation (Excellent!)
    Algorithms
    Discrete Math

    Free Online Textbooks:
    Computer Organization and Design Fundamentals
    Data Structures and Algorithms with Object-Oriented Design Patterns
    in Java
    http://www.freetechbooks.com/
    http://freecomputerbooks.com/
    http://en.wikipedia.org/wiki/Computer_science
    http://en.wikibooks.org/wiki/Algorithms
    http://en.wikibooks.org/wiki/Data_Structures
    http://en.wikibooks.org/wiki/Discrete_mathematics
    http://en.wikibooks.org/wiki/Operati...esign/Contents
    http://en.wikibooks.org/wiki/Formal_...redicate_Logic
    The Art of Computer Programming by Knuth (classic)
    Concepts, Techniques, and Models of Computer Programming
    A Practical Theory of Programming (2007)

    MIT OpenCourseWare:
    Introduction to Algorithms (lecture notes, videos, problem sets & exams with solutions)
    Mathematics for Computer Science
    Computation Structures
    Theory of Computation (not very helpful; no lecture notes or solutions)

    Lecture Notes:
    Lecture Notes for "Foundations of Computer Science/C" by Ullman (Excellent!)
    Short Introduction to Operating Systems
    Algorithms - Lecture Notes (Princeton)
    Introduction to CS (includes Theory of Computation)
    Discrete Math in Computer Science

    Lecture Notes by GRE CS Committee Members:
    (As with textbooks and online courseware, these lecture notes include topics that are not relevant.)
    Intro CS by Dr. Smith (Harvard): Lecture Notes Section Notes
    Lecture Notes by Dr. Cytron
    Lecture Notes by Dr. Grunwald
    Lecture Notes by Dr. Cook
    Lecture Notes on Algorithms by Dr. Ramachandran

    Video Lectures (helpful mostly for non-CS students; not an efficient way to review old material):
    Data Structures Video Lectures (includes some graph theory)
    ArsDigita University - The most interesting CS video lectures in algorithms, automata, discrete math, etc.
    MIT video & lecture notes on Algorithms

    Easier Ways to Solve Problems:
    Master Method: An Alternative Formulation
    Detecting overflow & underflow

    Microsoft Article:
    Extensive Examination of Data Structures

    Wikipedia on Computer Architecture:
    http://en.wikipedia.org/wiki/Arithmetic_logic_unit
    http://en.wikipedia.org/wiki/Two%27s_complement
    http://en.wikipedia.org/wiki/CPU_design
    http://en.wikipedia.org/wiki/Loop_unwinding
    http://en.wikipedia.org/wiki/Out-of-order_execution
    http://en.wikipedia.org/wiki/RISC
    http://en.wikipedia.org/wiki/Addressing_mode
    http://en.wikipedia.org/wiki/Instruction_set
    http://en.wikipedia.org/wiki/Instruction_pipelining
    http://en.wikipedia.org/wiki/Hazard_(computer_architecture)
    http://en.wikipedia.org/wiki/Speedup
    http://en.wikipedia.org/wiki/Amdahl's_Law
    http://en.wikipedia.org/wiki/CPU_cache
    http://en.wikipedia.org/wiki/Memory_management
    http://en.wikipedia.org/wiki/Paging
    http://en.wikipedia.org/wiki/Page_table
    http://en.wikipedia.org/wiki/Page_size
    http://en.wikipedia.org/wiki/Virtual_memory
    http://en.wikipedia.org/wiki/Category:Virtual_memory
    http://en.wikipedia.org/wiki/Page_replacement_algorithm
    http://en.wikipedia.org/wiki/Segmentation_%28memory%29
    http://en.wikipedia.org/wiki/Fragmen...%28computer%29
    http://en.wikipedia.org/wiki/Disk_storage

    Wikipedia on Operating Systems:
    http://en.wikipedia.org/wiki/Process_%28computing%29
    http://en.wikipedia.org/wiki/Process_states
    http://en.wikipedia.org/wiki/Task_%28computers%29
    http://en.wikipedia.org/wiki/Thread_...ter_science%29
    http://en.wikipedia.org/wiki/Multithreading
    http://en.wikipedia.org/wiki/Context_switch
    http://en.wikipedia.org/wiki/Deadlock
    http://en.wikipedia.org/wiki/Thrash_...ter_science%29
    http://en.wikipedia.org/wiki/Mutual_exclusion
    http://en.wikipedia.org/wiki/Monitor...hronization%29

    Wikipedia on Digital Design:
    http://en.wikipedia.org/wiki/Boolean_algebra
    http://en.wikipedia.org/wiki/De_Morgan%27s_laws
    http://en.wikipedia.org/wiki/Minterms
    http://en.wikipedia.org/wiki/Karnaugh_map
    http://en.wikipedia.org/wiki/Flip-flop_(electronics)

    Wikipedia on Discrete Math:
    http://en.wikipedia.org/wiki/First-order_logic
    http://en.wikipedia.org/wiki/Infix_notation
    http://en.wikipedia.org/wiki/Polish_notation
    http://en.wikipedia.org/wiki/Reverse_Polish_notation
    http://en.wikipedia.org/wiki/Reflexive_relation
    http://en.wikipedia.org/wiki/Symmetric_relation
    http://en.wikipedia.org/wiki/Transitive_relation
    http://en.wikipedia.org/wiki/Graph_theory
    http://en.wikipedia.org/wiki/Hamiltonian_path
    http://en.wikipedia.org/wiki/Eulerian_path
    http://en.wikipedia.org/wiki/List_of...aph_algorithms
    http://en.wikipedia.org/wiki/Category:Graph_theory
    http://en.wikipedia.org/wiki/Combinatorics
    http://en.wikipedia.org/wiki/Binomial_coefficient
    http://en.wikipedia.org/wiki/Binary_tree
    http://en.wikipedia.org/wiki/Minimum_spanning_tree
    http://en.wikipedia.org/wiki/Tree_traversal
    http://en.wikipedia.org/wiki/Depth-first_search
    http://en.wikipedia.org/wiki/Breadth-first_search
    http://en.wikipedia.org/wiki/Maximum_flow_problem
    http://en.wikipedia.org/wiki/Hamming_distance
    http://en.wikipedia.org/wiki/Shortest_path_problem
    http://en.wikipedia.org/wiki/Traveling_salesman_problem
    http://en.wikipedia.org/wiki/Boolean...bility_problem
    http://en.wikipedia.org/wiki/Graph_coloring
    http://en.wikipedia.org/wiki/Clique_problem

    Wikipedia on Theory of Computation:
    http://en.wikipedia.org/wiki/Formal_language_theory
    http://en.wikipedia.org/wiki/Category:Formal_languages
    http://en.wikipedia.org/wiki/Automata_theory
    http://en.wikipedia.org/wiki/Computa...ter_science%29
    http://en.wikipedia.org/wiki/Kleene_star
    http://en.wikipedia.org/wiki/Finite_state_machine
    http://en.wikipedia.org/wiki/Regular_language
    http://en.wikipedia.org/wiki/Regular_grammar
    http://en.wikipedia.org/wiki/Determi..._state_machine
    http://en.wikipedia.org/wiki/Pushdown_automaton
    http://en.wikipedia.org/wiki/Context-free_language
    http://en.wikipedia.org/wiki/Context-free_grammar
    http://en.wikipedia.org/wiki/Context-sensitive_language
    http://en.wikipedia.org/wiki/Top-down_parsing
    http://en.wikipedia.org/wiki/Bottom-up_parsing
    http://en.wikipedia.org/wiki/Backus%E2%80%93Naur_form
    http://en.wikipedia.org/wiki/Ambiguous_grammar
    http://en.wikipedia.org/wiki/Recursive_language
    http://en.wikipedia.org/wiki/Recursi...rable_language
    http://en.wikipedia.org/wiki/Complex...asses_P_and_NP
    http://en.wikipedia.org/wiki/NP-complete
    http://en.wikipedia.org/wiki/Turing_machine

    Wikipedia on Data Structures & Algorithms:
    http://en.wikipedia.org/wiki/List_of_data_structures
    http://en.wikipedia.org/wiki/Heap_%28data_structure%29
    http://en.wikipedia.org/wiki/Stack_(data_structure)
    http://en.wikipedia.org/wiki/Queue_%28data_structure%29
    http://en.wikipedia.org/wiki/Binary_search_tree
    http://en.wikipedia.org/wiki/B-tree
    http://en.wikipedia.org/wiki/Self-ba...ry_search_tree
    http://en.wikipedia.org/wiki/Array
    http://en.wikipedia.org/wiki/Linked_list
    http://en.wikipedia.org/wiki/Big_O_notation
    http://en.wikipedia.org/wiki/Sorting_algorithms
    http://en.wikipedia.org/wiki/Comparison_sort
    http://en.wikipedia.org/wiki/Insertion_sort
    http://en.wikipedia.org/wiki/Mergesort
    http://en.wikipedia.org/wiki/Quicksort
    http://en.wikipedia.org/wiki/Heapsort
    http://en.wikipedia.org/wiki/Selection_algorithm
    http://en.wikipedia.org/wiki/Greedy_algorithm
    http://en.wikipedia.org/wiki/Dynamic_programming

    Wikipedia on Networking/Internet:
    http://en.wikipedia.org/wiki/Internet_Protocol
    http://en.wikipedia.org/wiki/Internet_protocol_suite
    http://en.wikipedia.org/wiki/Transmi...ntrol_Protocol
    http://en.wikipedia.org/wiki/User_Datagram_Protocol
    http://en.wikipedia.org/wiki/Packet_switched
    http://en.wikipedia.org/wiki/Circuit_switching
    http://en.wikipedia.org/wiki/Address...ution_Protocol
    http://en.wikipedia.org/wiki/Routing
    http://en.wikipedia.org/wiki/Ethernet
    http://en.wikipedia.org/wiki/Category_5_cable
    http://en.wikipedia.org/wiki/VPN
    http://en.wikipedia.org/wiki/Subnetwork
    http://en.wikipedia.org/wiki/Public-key_cryptography
    http://en.wikipedia.org/wiki/Latency_vs_Bandwidth
    http://en.wikipedia.org/wiki/Throughput

    Wikipedia on Programming Language Theory:
    http://en.wikipedia.org/wiki/Programming_language
    http://en.wikipedia.org/wiki/Categor...ing_constructs
    http://en.wikipedia.org/wiki/Compile...ques_and_Tools
    http://en.wikipedia.org/wiki/Compiler
    http://en.wikipedia.org/wiki/Lexical_analysis
    http://en.wikipedia.org/wiki/Syntax_analysis
    http://en.wikipedia.org/wiki/Parsing
    http://en.wikipedia.org/wiki/Symbol_table
    http://en.wikipedia.org/wiki/Type_checking
    http://en.wikipedia.org/wiki/Type_system
    http://en.wikipedia.org/wiki/Run-time_environment
    http://en.wikipedia.org/wiki/Backus-Naur_form
    http://en.wikipedia.org/wiki/Call_stack
    http://en.wikipedia.org/wiki/Scope_(programming)
    http://en.wikipedia.org/wiki/Evaluation_strategy
    http://en.wikipedia.org/wiki/Pointer
    http://en.wikipedia.org/wiki/Recursi...mputer_science
    http://en.wikipedia.org/wiki/Semapho...programming%29
    http://en.wikipedia.org/wiki/Busy_waiting
    http://en.wikipedia.org/wiki/Garbage_collection_(computer_science)
    http://en.wikipedia.org/wiki/Object-...ed_programming
    http://en.wikipedia.org/wiki/Polymor...ed_programming
    http://en.wikipedia.org/wiki/Virtual_function_table

    Wikipedia on Software Engineering:
    http://en.wikipedia.org/wiki/Design_Patterns
    http://en.wikipedia.org/wiki/Singleton_pattern
    http://en.wikipedia.org/wiki/Model-view-controller
    http://en.wikipedia.org/wiki/Black_box_testing
    http://en.wikipedia.org/wiki/Boundary_value_analysis

    Practice problems:
    http://www.urch.com/forums/gre-compu...er-theory.html (driller for theory)
    http://www.urch.com/forums/gre-compu...ter-103-a.html (confidence booster 103)
    http://www.urch.com/forums/gre-compu...ter-102-a.html (confidence booster 102)
    http://www.urch.com/forums/gre-compu...thematics.html (driller for mathematics)
    http://www.urch.com/forums/gre-compu...-hardware.html (driller for hardware)
    http://www.urch.com/forums/gre-compu...ining-ilp.html (Driller for pipelining & ILP !!)
    http://www.urch.com/forums/gre-compu...-run-time.html (run-time)
    http://www.urch.com/forums/gre-compu...e-runtime.html (one more runtime)
    http://www.urch.com/forums/gre-compu...ecurrence.html (recurrence)
    http://www.urch.com/forums/gre-compu...ecurrence.html (Recurrence)
    http://www.urch.com/forums/gre-compu...as-demand.html (more recursions, by popular (Alba's) demand)
    http://www.urch.com/forums/gre-compu...es-graphs.html (Stuff on recurrences and graphs)
    http://www.urch.com/forums/gre-compu...-relation.html (A Recurrence Relation)
    http://www.urch.com/forums/gre-compu...olynomial.html (Bound -> polynomial ?)
    http://www.urch.com/forums/gre-compu...r-passing.html (Parameter passing)
    http://www.urch.com/forums/gre-compu...mic-scope.html (Static/Dynamic Scope)
    http://www.urch.com/forums/gre-compu...ms-doubts.html (Driller on software systems: doubts)

    Manage Your Time Wisely: The best advice is to first do the problems in the ETS practice booklet and the Titanium Bits Study Guide before spending much time with textbooks. Doing these problems first will also give you a better idea of what is important for the exam and what is not. You don't need textbooks to answer the sample problems since computer science knowledge is widely available on the Internet and people can always help you out on this forum.
    Last edited by CalmLogic; 01-21-2007 at 04:05 PM.

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    Thanks

    Yeah Calm,

    Everyone has been stressing the importance of practice ... I will take up your advice and look up the practice questions.

    The thing is that I graduated in 2004. Its been a long time since I have seen this stuff .....

    BTW, thanks a lot for the links, man ... Appreciate that ...
    Ashish

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    1. Take a sample test. No matter how hard it seems finish it.
    2. Take 2 days to analyze the questions from the taken practice exam. Try to understand what they like to ask and your strengths and weaknesses.
    3. Read from undergrad CS books. I don't think there are better preparation materials than those books. But you have to understand where you have to concentrate and where you can just skim through.
    4. Use this forum to get materials like practice tests and suggestions.

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    TestMagic Guru CalmLogic's Avatar
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    Quote Originally Posted by pavelbuet View Post
    1. Take a sample test. No matter how hard it seems finish it.
    2. Take 2 days to analyze the questions from the taken practice exam. Try to understand what they like to ask and your strengths and weaknesses.
    3. Read from undergrad CS books. I don't think there are better preparation materials than those books. But you have to understand where you have to concentrate and where you can just skim through.
    4. Use this forum to get materials like practice tests and suggestions.
    Totally agree, especially since you scored so well on the exam.

    For some things, Wikipedia articles and the archives of this forum provide better explanations than my textbooks. However, for subjects like automata and graph theory, I rely heavily on textbooks in addition to lecture notes, problem sets, and other online course materials. The textbooks I own that I appreciate the most are:

    - Discrete Math by Rosen (provides answers to half of the exercises; a solutions manual is also available)
    - Algorithms by Cormen, et. al. (does not provide answers to exercises but is the most popular book on algorithms)
    - Introduction to the Theory of Computation by Sipser
    - Programming Language Pragmatics by Scott

    BTW, most of these books or descent substitutes may be available at university libraries.
    Last edited by CalmLogic; 01-18-2007 at 07:28 PM.

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    Quote Originally Posted by Misraji View Post
    Yeah Calm,

    Everyone has been stressing the importance of practice ... I will take up your advice and look up the practice questions.

    The thing is that I graduated in 2004. Its been a long time since I have seen this stuff .....

    BTW, thanks a lot for the links, man ... Appreciate that ...
    Ashish
    My advice is to go over several of the guides (like Titanium Bits), solve all GRE practice booklets and past exams in existence - you should have no problem finding them (I would put my archive, but this forum seems pretty tight on copyright issues, which I could care less about, but since I'm a guest here... but I digress.)

    Anyway, when you solve the practice booklets and the past exams, refresh your memory on everything you don't understand or remember. If you had good education, this should be enough. E.g., I completed the B.Sc. in 2000, so your 2004 is pretty fresh.

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    TestMagic Guru CalmLogic's Avatar
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    Quote Originally Posted by borat
    If you had good education, this should be enough.
    This is a great point. Consider the non-CS background people that have to start almost from scratch.

    Quote Originally Posted by borat
    My advice is to go over several of the guides (like Titanium Bits), solve all GRE practice booklets and past exams in existence...
    Borat, since you only scored a 98% on the GRE CS, are you sure about this?
    Last edited by CalmLogic; 01-17-2007 at 01:04 AM.

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    Quote Originally Posted by CalmLogic View Post
    This is a great point. Consider the non-CS background people that have to start almost from scratch.

    Trust me man, I feel as if I am starting all over again .....

    And Borat ... That is one hell of a score, Sir ... Hats off ....

    To tell u the truth, it's gonna be pretty embarrasing for me to take that test, Pavel ... But better flunk here than in AGRE, right??

    Borat, could you please mail me that archive of yours ... Would really appreciate it ... My mail id is Ashish.Misra@capgemini.com

    Ashish.

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