Download prelim reading list 03 - Computer Science

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Ph.D. Preliminary Examination
Topics & Reading List
Department of Computer Science
Kent State University
Discrete Structures






Design and Analysis of Algorithms


Functions, relations, sets
Basic logic
Proof techniques: induction and recursion
Counting, discrete probability
Graphs and trees, Boolean algebra
Modeling computation: basic languages and
grammars, regular expressions


Suggested reading: Brassard & Bratley,
Fundamentals of Algorithmics, Prentice Hall, 1996
Chapters 1-9, 12
Suggested reading: Rosen, Discrete Mathematics
and its Applications, McGraw Hill, 2003
Chapters 1-11
Foundations of Programming Languages
Data Structures and Fundamentals of
Programming















Abstract data types
Fundamental data structures
Vectors, lists, stacks, queues, binary trees, graphs
Object oriented programming, inheritance
Polymorphism, and dynamic variable binding
Containers and iterators
Hashing, priority queues and heaps
Computer Operating Systems
Computer Architecture and Organization








Computer performance measure and analysis
Instruction set design
Computer arithmetic
Processor design and control
Processor pipelining
Memory organization
I/O subsystems
Multiprocessors
Suggested reading: Patterson & Hennessy, Computer
Organization & Design, Morgan Kaufmann 1998
Chapters 2-9
V2.0
Describing syntax and semantics
Names, bindings, type checking, and scope
Lexical and syntactical analysis
Data types, expressions, and statements
Subprograms and parameter passing mechanisms
Exception handling
Object-oriented languages
Functional and logic programming languages
Suggested reading: Ghezzi & Jazayeri,
Programming Language Concepts 3rd Edition, Wiley,
1997
Chapters – all
Suggested reading: Ford & Topp, Data Structures
with C++, Prentice Hall 2002
Chapters - all








Basic algorithm analysis and asymptotic notation
Algorithm design strategies: greedy, divide and
conquer, heuristic, dynamic programming
Graph and string matching algorithms
Basic computability, Complexity classes P and NP
Page 1 of 1
Overview of operating systems
Processes, threads, CPU scheduling
Process synchronization and Deadlock
Memory Management, Virtual Memory
File system and interfaces
I/O systems, mass storage, file systems
Protection, security, and distributed systems
Linux and Windows XP
Suggested reading: Silberschatz, Galvin, & Gagne,
Operating Systems Concepts 6th Edition, Wiley, 2003
Chapters 1-20, 22
September 9, 2003
Related documents