Physical Sciences and Mathematics Commons^™

Cs 142: Computer Programming - Ii, Michael Ondrasek

Computer Science & Engineering Syllabi

The concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and handling runtime errors with an emphasis on program verification and testing. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: CS 141 (Computer Programming I) and MTH 127 (College Algebra) or equivalent.

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. Prerequisite: MTH 130 or MPL 5.

Cs 208: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 208 is the first of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming. This course assumes students have never written a program before.

Cs 214: Visual Basic Programming, Vanessa Starkey

Computer Science & Engineering Syllabi

This course will cover the fundamentals of object-oriented computer programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for developing programs.

Cs 242-02: Computer Programming Iii, Sarah Gothard

Computer Science & Engineering Syllabi

No abstract provided.

Cs 141: Computer Programming - I, Michael Ondrasek

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.

Cs 205: Computer Literacy And Office Automation, Ann Tirpack

Computer Science & Engineering Syllabi

No abstract provided.

Cs 206-01: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

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

Microsoft Excel 2007:

Chapter 4: Creating Loan Information

Chapter 5: Working With Lists, Working With Logical Functions

Chapter 6: Working With Multiple Worksheets And Workbooks, Database Functions, And Filtering, And Integrating Excel with Other Window Programs

Microsoft Access 2007:

Chapter 4: Enhancing a Table's Design, and Creating Advanced Queries, Creating Custom Reports

Chapter 5: Creating Custom Forms …

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 Dietel et al 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 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 two 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 Science, by Thomas Sudkamp.

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

Cs 776: Functional Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will discuss important concepts of functional programming such as recursive definitions, higher-order functions, type inference, polymorphism, abstract data types, modules etc. The programming exercises will illustrate the utility of list-processing, pattern matching, abstraction of data/control, strong typing, and parameterized modules (functors). We also study the mathematical reasoning involved in the design of functional programs and techniques for proving properties about functions so defined.

Cs 801: Advanced Database Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of current trends and research issues in database systems.

Ceg 233-01: Linux And Windows, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to Linux and Windows systems. GUI and Windowing Systems. Files and Directories, Ownership and Sharing. Programs and Processes. System calls, Libraries. Loading. Dynamic linking. Command Line Shells. Scripting languages. Regular expressions. Clients and Servers. Web browser clients and servers. Secure shell, sftp. SSUTSL. HTTPS. System Administration. 4 credit hours. 3 hours lectures, 2 hours labs.

Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu

Computer Science & Engineering Syllabi

We will discuss and cover basic digital, combinational and sequential logic systems. Labs will be used to gain valuable practical experience in implementing elementary circuits and logic designs.

Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Introduction to the design of information systems comprising modern technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.

Ceg 402/602-01: Computer Networks, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 434/634-01: Concurrent Software Design, Thomas C. Hartrum

Computer Science & Engineering Syllabi

This course provides an introduction to concurrent program design in the UNIX environment. Classical problems of synchronization, concurrency, and their solutions are examined through course projects and through readings on operating system design.

Ceg 460/660-01: Introduction To Software Computer Engineering, John A. Reisner

Computer Science & Engineering Syllabi

This course introduces established practices for engineering large-scale software systems. Emphasis is placed on both the technical and managerial aspects of software engineering, and the software development process. This includes techniques for requirements elicitation, analysis, design, testing, and project management. The course emphasizes object-oriented development with the Unified Modeling Language (UML). Hands-on experience is provided through individual homework problems and a partnered project.

Ceg 499/699-01: Scientific Visualization And Virtual Environments, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will be familiar with techniques ed for visualizing various types of data sets, such as medical, vector or general data sets.

Ceg 751-01: Microprocessors Ii, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course will discuss fundamentals of Pattern Recognition. including supervised learning and clustering.

Ceg 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum

Computer Science & Engineering Syllabi

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.

Ceg 416-01: Matrix Computations, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as CIC++ or Fortran is very important. A basic knowledge of matrix algebra is …

Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.

Cs 790: Optimizing Compilers 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, 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 for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.

Cs 701: Database Systems And Design I, Guozhu Dong

Computer Science & Engineering Syllabi

An introduction to database design, database system implementation issues and techniques, and advanced data models.

Cs 400-01: Data Structures And Algorithms, Sarah Gothard

Computer Science & Engineering Syllabi

No abstract provided.

Cs 350/550: Computational Tools And Techniques For Data Analysis, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to the representation, visualization, and modeling of large data sets. Data analysis using standard high level software tools. Topics include data filtering, clustering, classification, and data mining. A familiarity with Excel is assumed plus some exposure to programming in languages such as C/C++ or Java. Knowledge of basic statistics is useful but not required. Material covered will be relevant to applications areas in science and engineering. Four credit hours.