Computer Engineering Commons^™

Ceg 460/660-01: Computer Engineering, Eric Maston

Computer Science & Engineering Syllabi

This course is concerned with the techniques of designing and constructing large program. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.

Ceg 720-01: Computer Architecture, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 433/633-01: Operating Systems, Yong Pei

Computer Science & Engineering Syllabi

This course provides an introduction to operating system design. Topics to be covered include: Operating system structures, Operating system interfaces, Process management and scheduling, Inter-process communication, File systems and Memory management and Device access.

Ceg 360/560-01: Digital System Design, Travis E. Doom

Computer Science & Engineering Syllabi

Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CEG 260.

Cs 241: Computer Programming Ii, Eric Maston

Computer Science & Engineering Syllabi

This is the second course in the Introduction to Computer Programming series. A continuation of CS240. The emphasis is on data abstraction and software development. Prerequisite: CS240.

Cs 141-01: Computer Programming - I, Jay Dejongh

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 400/600: Data Structures And Algorithms, Eric Maston

Computer Science & Engineering Syllabi

This is the initial course in the understanding of data structures. This course focuses on data structures with abstract data types, such as trees, stacks, queues and graphs. The course will use projects to create a deeper understanding of data structure and their use.

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

Computer Science & Engineering Syllabi

No abstract provided.

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 772: Advanced Natural Language Processing Concepts, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis

Computer Science & Engineering Syllabi

Introduction~ Image Processing Operators and Morphology; Image Transformations; Image Processing Languages; Image Coding and Compression; Image Encryption and Hiding; Digital TV and Video.

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

Computer Science & Engineering Syllabi

No abstract provided.

Cs 207: Advanced Office Productivity Ii, Amanda Hood

Computer Science & Engineering Syllabi

This course covers post-advanced microcomputer applications including Microsoft Office Word 2007, Excel 2007, Access 2007, and PowerPoint 2007. Topics include: creating an online form, working with macros and Visual Basic for Applications (VBA), working with a master document, and index and a table of contents, linking an Excel worksheet and charting its data in Word, formula auditing, data validation, and complex problem solving in Excel, importing data into Excel, working with PivotCharts, PivotTables, and trendlines in Excel, creating a PivotTable List, advanced Access report and form techniques, and creating a multi-page form, administering a database system, creating a self-running presentation …

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 240-02: Computer Programming I, Jay Dejongh

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 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 4661666 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 790-01: Multimedia Coding And Communication (Ii), Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

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 205-08: Introduction To Computers And Office Productivity Software, Kim Gros

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), 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 240-01: Computer Programming I, Jay Dejongh

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 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 CIC++ 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.

Cs 242: Introduction To Computer Science Iii, Haiyun Bian

Computer Science & Engineering Syllabi

No abstract provided.

Cs 241: 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 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Data models including entity-relationship (ER) and relational are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SOL, relational algebra, relational calculus, and QBE are introduced. Students will also gain experience in creating and manipulating a database. The course is mostly concerned with the design and querying of databases. A follow up course, CS701, is concerned with the design of system functions for managing databases.

Cs 801: Advanced Database Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of current trends and research issues in database systems.

Cs 740: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp

Computer Science & Engineering Syllabi

The objective of this course is to use the formal algorithmic system provided by Turing machines as a tool to analyze the complexity of decision and optimization problems and the algorithms that solve them. The topics to be covered include

• the definition of the time and space complexity of a deterministic algorithm
• the classes of deterministic polynomial and non-polynomial time languages
• the complexity of nondeterministic algorithms
• the P=NP question (relationship between solvability by deterministic and nondeterministic polynomial time algorithms)
• the implications of a solution to the P=NP question
• NP completeness and examples of NP …

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 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 790-02: 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 499/699: Introduction To Parallel Programming, Natsuhiko Futamura

Computer Science & Engineering Syllabi

Low-cost parallel computers such as PC clusters are becoming available, and many computationally intensive problems can be solved using such computers. It is, however, still not easy to design and implement a software that run fast using multiple processors. This course covers basic software design methods and experiencing programming parallel programming using MPI. After taking this course students will be able to design parallel algorithms, evaluate the speed of the execution, and write MPI codes.