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Cs 208-01: Computer Programming For Business I, David M. Hutchison 2010 Wright State University - Main Campus

Cs 208-01: Computer Programming For Business I, David M. Hutchison

Computer Science & Engineering Syllabi

CS 208 is the first in a sequence of two programming classes required for MIS majors. This course will introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis is on problem solving with the computer as a tool.


Cs 214: Visual Basic Programming, Michael Ondrasek 2010 Wright State University - Main Campus

Cs 214: Visual Basic Programming, Michael Ondrasek

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming languages. 4 credit hours.


Cs 241-01: Computer Programming Ii, Travis E. Doom 2010 Wright State University - Main Campus

Cs 241-01: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.


Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan 2010 Wright State University - Main Campus

Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's text using Python available from http://www.python.org. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.


Cs 242: Computer Programming Iii, Mateen M. Rizki 2010 Wright State University - Main Campus

Cs 242: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.


Cs 415: Social Implications Of Computing, Leo Finkelstein 2010 Wright State University - Main Campus

Cs 415: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading material in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.


Cs 405/605: Introduction To Database Management Systems, Keke Chen 2010 Wright State University - Main Campus

Cs 405/605: Introduction To Database Management Systems, Keke Chen

Computer Science & Engineering Syllabi

No abstract provided.


Cs 466/666: Introduction To Formal Languages, Guozhu Dong 2010 Wright State University - Main Campus

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these tow topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of languages and Machines: An Introduction to the Theory of Computer Sciences, by Thomas Sudkamp.


Cs 400/600: Data Structures And Software Design, Guozhu Dong 2010 Wright State University - Main Campus

Cs 400/600: Data Structures And Software Design, Guozhu Dong

Computer Science & Engineering Syllabi

No abstract provided.


Cs 242: Computer Programming Iii, Thomas Wischgoll 2010 Wright State University - Main Campus

Cs 242: Computer Programming Iii, Thomas Wischgoll

Computer Science & Engineering Syllabi

No abstract provided.


Cs 470/670: Systems Simulation, Thomas C. Hartrum 2010 Wright State University - Main Campus

Cs 470/670: Systems Simulation, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Introduction to simulation and comparison with other techniques. Discrete simulation models. Introduction to queuing theory and stochastic processes. Comparison of simulation languages. Simulation methodology and selected applications.


Cs 240: Computer Programming I, Vanessa Starkey 2010 Wright State University - Main Campus

Cs 240: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.


Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane 2010 Wright State University - Main Campus

Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane

Computer Science & Engineering Syllabi

The course web page will be the primary method for distributing important announcements, course material, class notes, etc. Please check the page often. Login to the campus WebCT system using your cats username and password. The URL is: http://wisdom.wright.edu


Cs 499/699: Logic For Computer Scientists, Pascal Hitzler 2010 Wright State University - Main Campus

Cs 499/699: Logic For Computer Scientists, Pascal Hitzler

Computer Science & Engineering Syllabi

Logic is often called the Calculus of Computer Science. Indeed, logic permeates most areas of Computer Science in one way or the other, sometimes more prominently, and sometimes as motivational or formal underpinning. Examples are database schema, program verification, semantics of programming languages, computer security, artificial intelligence, cognitive robotics, Web information systems, computer hardware circuitry, or modeling in software engineering.


Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang 2010 Wright State University - Main Campus

Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang

Computer Science & Engineering Syllabi

This course will cover the fundamentals of graphical probability models, focusing on the key representations, algorithms and theories that have facilitated much recent progress in artificial intelligence research.


Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler 2010 Wright State University - Main Campus

Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler

Computer Science & Engineering Syllabi

What does it mean to say that some computational problem is intrinsically more difficult than some other problem? How can I claim that I have found a good algorithmic solution? The study of these questions gives rise to an area of Theoretical Computer Science called Complexity Theory, which is based on a systematic and thorough formal study of the complexity of problems with respect to their algorithmic solvability, using Turing machines as main conceptual tool. In this class, we will understand how problem and algorithmic complexity is measured, and discuss some of the main complexity classes arising from this study ...


Cs 772: Advanced Natural Language Processing Concepts, Shaojun Wang 2010 Wright State University - Main Campus

Cs 772: Advanced Natural Language Processing Concepts, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.


Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu 2010 Wright State University - Main Campus

Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu

Computer Science & Engineering Syllabi

This course studies compiler optimization for modern architectures. Between parsing the input program and generating the target machine code, optimizing compilers perform a wide range of program transformations on a program to improve its performance. In this course we focus on data dependence analysis, program transformations and loop transformations, loop scheduling, and a combination of these optimizing techniques.


Cs 784: Programming Languages, Prabhaker Mateti 2010 Wright State University - Main Campus

Cs 784: Programming Languages, Prabhaker Mateti

Computer Science & Engineering Syllabi

Programming paradigms and concepts for high level programming languages. Techniques for formal specification. 4.000 Credit hours. Prerequisites: CS 480/680.


Cs 774: Logic Programming, Krishnaprasad Thirunarayan 2010 Wright State University - Main Campus

Cs 774: Logic Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course deals with logic programming paradigm and Prolog. We discuss the syntax and the semantics of Prolog, the working of a Prolog interpreter and various applications of Prolog. In particular, we consider the use of Prolog of database querying, parsing, meta-programming, and problem solving in AI. The programming assignments can be coded in SWI_Prolog or XSB.


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