UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

Department of Electrical and Computer Engineering

ECE 310: Digital Signal Processing

http://courses.ece.uiuc.edu/ece310

Spring 2012

Associated Lab Course:

ECE 311: Digital Signal Processing Lab

Lecture Times:

Lecture

D

9:00 AM - 9:50 AM

Mon./Wed./Fri.

269 Everitt Lab

Minh Do

Lecture

G

3:00 PM - 3:50 PM

Mon./Wed./Fri.

269 Everitt Lab

Paris Smaragdis

Instructors:

Prof. Minh N. Do

Prof. Paris Smaragdis

Office: 115 Coordinated Science Lab

Office: 3231 Siebel Center for Comp Sci

Email: minhdo@

Email: paris@

Office Hour: Mondays 10am - 11am (Everitt Lab 369) or appointments by email

Office Hour: Mondays 10am - 11am (Everitt Lab 369) or appointments by email

* Professors Do and Smaragdis will alternate teaching both sections throughout the semester.

Teaching Assistants:

The Teaching Assistants for the course are Kang Kang, Sujay Bhobe and Yuelin Du.

The TA email addresses are: kkang7@, sbhobe2@, du6@.

Office and Recitation Hours:

TA

Day of the week

Time

Room

Kang

Tuesday

5:00 PM - 6:00 PM

Everitt Lab 369

Kang

Wednesday

10:00 AM - 12:00 PM

Everitt Lab 369

Sujay

Thursday

5:00 PM - 7:00 PM

Everitt Lab 368

Integrity:

This course will operate under the following honor code: Students may collaborate on working through homework assignments, but each student must turn in his or her own work that has been worked out independently of any other student. Looking for solutions from prior year handouts or copying of other student's work is considered cheating and will not be permitted. All exams and quizzes are to be worked out independently without any aid from any person or device. By enrolling in this course and submitting HW assignments, quizzes, and exams for grading, each student implicitly accepts this honor code.

Course Objectives:

Upon completion of this course, you should be able to:

• Recognize the terminology that is used in the Digital Signal Processing (DSP) field.
• Explain the theory and concepts behind the construction of DSP systems.
• Analyze basic DSP building blocks; including analog-to-digital (A/D) and digital-to-analog (D/A) converters, digital filters, spectrum analyzers, sample rate converters (up-sampling and down-sampling), and the fast Fourier transform (FFT) algorithm.
• Design and synthesize these building blocks and use them effectively in applications.
• Evaluate DSP systems and justify choices among alternative designs.
• Think critically, ask questions, and apply problem-solving techniques.

University of Illinois at Urbana-Champaign

Department of Electrical and Computer Engineering

ECE 310: Digital Signal Processing

Spring 2012 Syllabus