Engineering Commons^™

Cs/Mth 3260/5260: Numerical Methods For Digital Computers, Ronald F. Taylor

Computer Science & Engineering Syllabi

Numerical methods for the sciences using modern programming languages. Solution of linear and nonlinear equations. symmetric matrix eigenvalue problems, interpolation, and least squares. Initial value and boundary value problems for representative systems governed by ordinary and partial differential equations are also solved numerically. Three hours lecture.

Cs 7220: Computability And Complexity, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Cs 7120: Functional And Logic Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will discuss important concepts and language features to support (i) functional programming and (ii) logic programming. Specifically: (i) The first half of the course will cover functional programming techniques and constructs such as recursive definitions, higher-order functions, type inference, polymorphism, abstract data types, and modules. The programming exercises will illustrate the utility of list-processing, pattern matching, abstraction of data/control, strong typing, and parametrized modules (fucntors). We will also study the mathematical reasoning (induction) involved in the design of functional programs and for proving properties about functions so defined. The programming assignments will be coded in SML '97 (Standard …

Cs 2800: Web Design Fundamentals, Mohamed B. Ali

Computer Science & Engineering Syllabi

HTML is the markup language that every web developer uses in order to structure and present content in the Internet. HTML5 is the standard that is being shaped and developed currently. It extends and improves the last HTML4 standard and takes it to the next level with support multimedia, communication and more. In this course, Students learn the fundamentals of Web design and development. Using various web software (Text editors, Expression Web, browsers and ftp clients). We will use CSS and forms, learn to add multimedia to pages, learn to insert JavaScript code into our web pages to increase interactivity, …

Cs 3100-01/5100-01: Data Structures And Algorithms, Erik Marlow Buck

Computer Science & Engineering Syllabi

No abstract provided.

Cs 1000-01: Technology And Society, Meg Wiltshire

Computer Science & Engineering Syllabi

What impact does technology have on society? As technology plays a greater role in our everyday lives, this becomes and increasingly important issue. The past 30 years have seen unprecedented technological advances, but the benefits obtained are often offset by unforeseen consequences and repercussions, such as privacy concerns, identity theft, and safety. This course will evaluate the consequences of technology on individuals, organizations, and society, identifying the potential benefits and limitations. We will discuss how social, ethical, legal, and philosophical issues have impacted, and will continue to impact, society.

Cs 1011: Advanced Concepts/Techniques And Software Productivity Tools, Terri Bauer

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of spreadsheets, databases, and presentation software and web design using Microsoft Excel, Access, and PowerPoint covering the following topics.

Microsoft Excel 2010:

Chapters 5 - 8

Microsoft Access 2010:

Chapters 5 - 7

Microsoft PowerPoint 2010:

Chapter 3 & 4

Cs 1010-01: Introduction To Computers And Office Productivity Software, John P. Herzog

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 1150-01: Introduction To Computer Science, Karen Meyer

Computer Science & Engineering Syllabi

The Introduction to Computer Science course will expose students to the scientific method as implemented in computer science. The course will show students how the scientific method as implemented in computer science can be used as a problem-solving tool. The course requires students to apply and extend the concepts in a laboratory setting. The concepts will include the study of and methodology of algorithm discovery, design, application, and fundamentals of networks. Lecture and Lab.

Cs 1160-03: Introduction To Computer Programming I, David M. Hutchison

Computer Science & Engineering Syllabi

CS 1160 is the first in a sequence of two programming classes. This course will introduce students to the basic concepts of programming. Examples are from business applications with an emphasis on problem-solving with the computer as a tool.

Cs 1160: Introduction To Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of computer programming with an emphasis on structured programming techniques. Includes an introduction to object-oriented programming. Integrated lecture/lab.

Cs 1161: Introduction To Computer Programming Ii, Vanessa Starkey

Computer Science & Engineering Syllabi

Introduction to advanced programming concepts and techniques. Emphasis is on object-oriented programming and graphical user interfaces. Integrated lecture/lab.

Cs 1200: Introduction To Discrete Structures, Analee Marlenee Miranda

Computer Science & Engineering Syllabi

Introduction to discrete structures as relevant for computer science. Emphasis on developing a working knowledge of basic mathematical notation and manipulation with discrete structures.

Cs 1200: Introduction To Discrete Structures, Analee Marlenee Miranda

Computer Science & Engineering Syllabi

Introduction to discrete structures as relevant computer science. Emphasis on developing a working knowledge of basic mathematical notation and manipulation with discrete structures.

Cs 2200-01: Discrete Structures And Their Algorithms, Pascal Hitzler

Computer Science & Engineering Syllabi

No abstract provided.

Cs 3100-02/5100-02: Data Structures And Algorithms, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.

Cs 2160: Visual Basic Programming, Eric Saunders

Computer Science & Engineering Syllabi

This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs.

Cs 3190: Programming Language Workshop In Scala, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in Scala. You are expected to learn the language and solve a set of programming problems assigned to you using Scala available from http://www.scala-lang.org/. There are no exams. We officially meet only once in the semester (and attending this meeting is optional if the online document is clear). However, I will be available in the posted office hours for clarifications and discussions about the programming problems. Typically, most of the communication is via emails.

Cs 3200/5200: Theoretical Foundations Of Computing, Guozhu Dong

Computer Science & Engineering Syllabi

CS 3200/5200 is an introduction to (a) formal language and automata theory and (b) computability. For (a), we will examine mechanisms for defining syntax of languages and devices for recognizing languages. Along with the fundamentals of these two topics, the course will investigate the relationships between language definition mechanisms and language recognition devices. For (b), we will study decision problems, the Church-Turing thesis, the undecidability of the Halting Problem, and problem reduction and undecidability. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.

Cs 4700/6700: Introduction To Database Management Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Entity Relationship and relational models for databases are presented. Physical database design methods, formal DB design concepts, and operating principles of database systems are discussed.

Cs 4000: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 4000 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 materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.

Cs 3700-01: Introduction To Oracle/Sql Databases, Karen Meyer

Computer Science & Engineering Syllabi

Relational client server database design and access techniques. Includes designing, normalizing and building database tables, writing SQL statements and PL/SQL programs.

Cs 4830-01/6830-01: Systems Simulation, Erik Marlow Buck

Computer Science & Engineering Syllabi

No abstract provided.

Cs 7100: Advanced Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters in Scheme for specifying operationally the various programming language features/constructs (spanning simple expression language to class-based object-oriented language). It also introduces attribute grammar framework that is convenient for automatic translation and axiomatic semantics formalism that assists in program verification. The programming assignments will be coded in Scheme using Racket IDE.

Cs 7140: Advanced Software Computer Engineering, Prabhaker Mateti

Computer Science & Engineering Syllabi

[3 credit hours] This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns, and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed. Prerequisites: CEG 4110 or CEG 6110.

Cs 7700: Advanced Database Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Introduction of design concepts, operating principles, current trends and research issues in database systems.

Cs 7900-03: Information Security, Shaojun Wang

Computer Science & Engineering Syllabi

Machine learning studies automatic methods of learning to make accurate predictions or useful decisions based on past observations. This course introduces theoretical machine learning, including mathematical models of machine learning, and the design and rigorous analysis of learning algorithms for classification, regression and ranking etc. Topics include: bounds on the number of random examples needed to learn; learning from non-random examples in the on-line learning model (for instance, for investment portfolio selection); how to boost the accuracy of a weak learning algorithm, kernel methods such as support-vector machines; consistency of machine learning methods.

Cs 7900-01: Optimizing Compilers For Modern Architectures, Meilin Liu

Computer Science & Engineering Syllabi

This course studies compiler optimization for modern architectures, program performance optimization. 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.