PROBABILITY WITH ENGINEERING APPLICATIONS
Section G (Mon/Wed) - IYER
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: ECE 210
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 Monday and Wednesday in 0216 Siebel Center for Computer Science
Instructor: Professor Ravi K. Iyer
Office: 255 Coordinated Science Lab (Phone: 333-9732)
Office Hours: Mondays and Wednesdays, 12.30 - 2.00 PM in room CSL 255
Teaching Assistant: Phuong Cao
Office: 249 Coordinated Science Lab (CSL). Alternately, Phuong is at 246 CSL
Tuesdays 4.00 - 5.00 PM, in room CSL 249 (Alternately, Phuong is at 246 CSL);
Thursdays 5.00 - 6.00 PM, in room CSL 249 (Alternately, Phuong is at 246 CSL)
Teaching Assistant: Krishnakant Saboo
Office: 249 Coordinated Science Lab. Alternately, Saboo is at 258 CSL
Office Hours: Mondays 4.00 - 5.00 PM; Wednesdays 4.00 - 5.00 PM, in room CSL 249. Alternately, Saboo is at 258 CSL.
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).
The course web site is being updated, if you have any question or comment please email both TAs.
Piazza is used for course related discussions.
Grades will be posted in Compass.