Writing in Engineering

This course fulfills the University's Junior Year Writing Requirement for students in the College of Engineering. Students will be introduced to traditional technical and scientific writing forms, including outlines, summaries, mechanical and technical descriptions, extended technical definitions, research reports, and proposals. Grammar review, oral presentations and on-line research are significant components of this course. Students will also investigate ethics in engineering practice and research.

Writing in Engineering

This course fulfills the University's Junior Year Writing Requirement for students in the College of Engineering. Students will be introduced to traditional technical and scientific writing forms, including outlines, summaries, mechanical and technical descriptions, extended technical definitions, research reports, and proposals. Grammar review, oral presentations and on-line research are significant components of this course. Students will also investigate ethics in engineering practice and research.

Adv VLSI Design Project

A graduate version of ECE 559. Groups of students encouraged to work on VLSI chip designs tied into VLSI research in the Electrical and Computer Engineering or Computer Science departments. Involves knowledge of some additional aspects of computer architecture, circuit design, computer arithmetic, or a particular application area such as digital signal processing, control, cryptography, or computer graphics. Use of the chip within an overall sytem also stressed.

VLSI Design Project

The design of very-large-scale integrated circuits. Experience in VLSI design through team projects emphasizing issues involved in the design of an entire custom chip. CAD tools used in the design process, resulting in specification of circuitry suitable for fabrication. Prerequisite: E&C-ENG 558.

Intro to Stats Modeling

(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

Intro to Stats Modeling

(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

Intro to Analysis

Completeness of the real numbers; topology of n-space including the Bolzano-Weierstrass and Heine-Borel theorems; sequences, properties of continuous functions on sets; infinite series, uniform convergence. 

Requisite: MATH 211 and either MATH 271 or 272, or consent of the instructor. Students with a grade of B+ or lower in linear algebra are encouraged to take another 200-level course with proofs before taking MATH 355.

Limited to 25 students. The Department. 

Linear Algebra

The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. MATH 271 will feature both proofs and applications, with special attention paid to the theoretical development of the subject.

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