ECE 313

PROBABILITY WITH ENGINEERING APPLICATIONS

Section A (Tue/Thu) - IYER

Spring 2026

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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 286 or MATH 415

Course Syllabus (Link)

Campuswire is used for course related discussions. (Link). Code: 2160

Gradescope is used for assignment hand-in and grading. (Link). Code: 3DDVG2

Lecture will be posted in Mediaspace. (Link)

About This Section

This section (Section A) has separate homework, projects, and exams from the other sections (B, C, and G). While all sections will cover the same theoretical material, the sections B, C, and G are the standard ECE 313, whereas this section, which is strongly recommended for computer engineering majors, will cover 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: 14:00 - 15:20, Tuesday and Thursday in ECEB 1015

Instructor: Professor Ravi K. Iyer

Office: CSL 255

Email: rkiyer@illinois.edu

Office Hours: Thursday 16:00 - 17:00 

TA 1: Shengkun Cui

Office: CSL 249

Email: scui8@illinois.edu

Office Hours: Monday 16:00 - 17:00

TA 2: Hung Nguyen

Office: CSL 249

Email: hungnt@illinois.edu

Office Hours: Wednesday 16:00 - 17:00

TA 3: Pranav Dorbala

Office: CSL 249

Email: dorbala2@illinois.edu

Office Hours: Thursday 17:00 - 18:00

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 questions, comments, or concerns please email the instructor directly.