Engineering Commons^™

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modem programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., Scheme) . The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java 5 and in scheme.

Ceg 433/633-01: Operating Systems, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you should be able to apply the learned concepts to the following:
•Develop, test and debug programs in Unix.
•Improve the performance of programs by tuning virtual memory usage, and file io.
•Design and construct device drivers for Unix.
•Design and build newer file systems for any OS.

During the course we will discuss topics from the following areas:
•Operating system structures
•Operating system interfaces
•Process management and scheduling
•Interprocess communication
•File systems
•Memory management

Cs 241: Computer Science Ii, Travis E. Doom

Computer Science & Engineering Syllabi

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

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 208: 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 499/699: Cloud Computing, Keke Chen

Computer Science & Engineering Syllabi

In this course, we will explore a few aspects of cloud computing: distributed data crunching with MapReduce, cloud and datacenter filesystems, virtualization, security&privacy, Amazon Web Services, and interactive web-based applications. Students are expected to finish a few mini projects, read some papers, and take the final exam. Participation in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics. (3 Hours Lecture+ 1 Hour lab).

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.

Ceg 460/660-01: Introduction To Software Computer Engineering, Thomas C. Hartrum

Computer Science & Engineering Syllabi

This course is concerned with the techniques of designing and constructing large programs. 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 453/653: Embedded Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 724-01: Computer Vision I, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course covers basic a]algorithms for low-level and mid-level vision. The algorithms deal with reducing image noise and segment images into objects or their parts. Other a]algorithms covered in the course analyze and quantify texture, register images, and recover 3-D shapes from 2-D images.

Cs 405/605-02: Introduction To Database Management Systems, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the following topics: (1) Logical and physical aspects of database management systems (2) Data models including entity-relationship (ER) and relational models (3) Physical implementation (data organization and indexing) methods. (4) Query languages including SQL, relational algebra, and relational calculus. Students will gain experience in creating and manipulating a database, and gain knowledge on professional and ethical responsibility and on the importance of privacy/security of data.

Cs 302-01: Introduction To Oracle Sql Databases, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp

Computer Science & Engineering Syllabi

This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.

Ceg 702-01: Advanced Computer Networks, Yong Pei

Computer Science & Engineering Syllabi

This course provides an in-depth examination of the fundamental concepts and principles in communications and computer networks. Topics include: queuing analysis, ATM, frame relay, performance analysis of routings, and flow and congestion controls.

Ceg 320/520-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 260-01: Digital Computer 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 210: Pc Networking I, Chris P. Fickert

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.

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/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer

Computer Science & Engineering Syllabi

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.

Cs 475/675: Web Information Systems, Amit P. Sheth

Computer Science & Engineering Syllabi

This course covers advanced topics in managing W eh-based resources, with a focus on building applications involving heterogeneous data. It will expose students to the following concept, topics, architectures, techniques, and technologies:

• data, metadata, information, knowledge, and ontologies
• unstructured, semi-structured, structured, multimodal, multimedia, and sensor data syntax,
structural/representational, and semantic aspects of data
• architectures: federated databases, mediator, information brokering
• integration and analysis of Web-based information
• automatic information/metadata extraction (entity identification/recognition, disambiguation)
• Web search engines, social networks, Web 2.0
• Semantic Web and Web 3.0
• relevant Web standards and technologies
• real-world examples that …

Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang

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 209: Computer Programming For Business Ii, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 209 is the second 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.

Cs 499/699: Special Topics In Information Security, Meilin Liu

Computer Science & Engineering Syllabi

This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Data Encryption Standard; Advanced Encryption Standard; Hashing functions and data integrity; Basic Number Theory; Public-key encryption (RSA); Digital signature; Security standards and applications; Access Control; Management and analysis of security. After taking this course, students will have the knowledge of several well-known security standards and their applications; and the students should be able to increase system security and develop secure applications.

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

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an
integral part of the course. Special topics presented as schedule permits. Four hours lecture.

Cs 242: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 476/676-01: Computer Graphics I, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will have learnt techniques for constructing 2-D and 3-D objects as well as manipulating and rendering the objects using OpenGL.

Ceg 434/634-01: Concurrent Software Design, Douglas J. Kelly

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, homework, and readings on operating system design.

Ceg 770-01: Computer Engineering Mathematics, Yong Pei

Computer Science & Engineering Syllabi

Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.