ECE 313

PROBABILITY WITH ENGINEERING APPLICATIONS

Section G (Tue/Thu) - IYER

Spring 2025

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ECE 313 (also cross-listed as MATH 362) is an undergraduate course on probability theory and statistics with applications to engineering problems primarily chosen from the areas of communications, control, signal processing, and computer engineering.

EE and CompE students must complete one of the two courses ECE 313 or Stat 410.

Credit: 3 hours.

Graduate students in the ECE Department cannot receive unit credit for ECE 313.

Prerequisite: MATH 257 or MATH 416

Course Syllabus (Link)

Campuswire is used for course related discussions. (Link)

Grades will be posted in Gradescope. (Link)

About This Section

This section has separate homework and exams from the other sections (A, B, C, D and E). While all sections will cover the same theoretical material, the sections A, B, C, D and E are the standard ECE 313, whereas this section, which is strongly recommended for computer engineering majors, will consider many examples from computer system performance, reliability, and network performance analysis, and the like. Through student projects, the class will be introduced to hands-on measurements and analysis of computer systems and networks. Analysis of the data thus gathered will introduce students to the whys and wherefores of real-life statistical problems in the reliability and performance analysis of computer systems and networks, and their solution.

Meeting time and Place: 11:00 - 12:20 on Tuesday and Thursday in 1302 Everitt Laboratory

Instructor: Professor Ravi K. Iyer

Office: 255 Coordinated Science Lab (Phone: 333-9732)

Email: rkiyer@illinois.edu

Office Hours: Thursdays, 12:30-02:00 pm

Teaching Assistant: Jonah Jesus Cadena-Perena

Office: CSL 249

Email: jonahjc2@illinois.edu

Office Hours: Tuesdays & Wednesdays 01:30-02:30 pm

Teaching Assistant: Argyrios Gerogiannis

Office: CSL 249

Email: ag91@illinois.edu

Office Hours: Tuesdays 12:30-01:30 pm

Teaching Assistant: Junyeob Lim

Office: CSL 249

Email: junyeob2@illinois.edu

Office Hours: Wednesdays 12:30-01:30 pm

Text: Sheldon Ross, A First Course in Probability, 9th edition, Pearson, 2012. (8th edition is available online for free download)

Additional reading: ECE 313 Course Notes by Prof. Bruce Hajek

Further Reading and Problems:

Sheldon M. Ross, Introduction to Probability Models, 10th Edition, Academic Press, 2010 (Chapters 1-5).

Kishore S. Trived, Probability & Statistics with Reliability, Queuing, and Computer Science Applications, 2nd Edition, Wiley, 2001.

The course web site is being updated, if you have any question or comment please email the TAs.