Course Information  Grading TA  Announcements  Course Description  Prerequisites  Textbook  Topics  Homework  Grading  Exams 
Spring 2020
School of Electrical
Engineering and Computer Science
Oregon State University
Instructor: 

Office: 
Kelley Engineering Center 3009 
Email: 

Classroom: 
The cloud 
Time: 
Tue./Thu. 2:00PM  3:20PM 
Office hours: 
Thu. and Fri. 4:00PM5:00PM 
Grading TA: 
HW 1: Austin 
TA Office hours: 
Austin Lassetter (lassetta at oregonstate.edu) TBD (2H) Dilan Senaratne (senaratg at oregonstate.edu) TBD (2H) 
Introductory discrete and continuous probability concepts, single and multiple random variable distributions, expectation, introductory stochastic processes, correlation and power spectral density properties of random signals, random signals through linear filters.
Junior standing in ECE 351 and (MTH 254 or MTH 254H).
"Probabilistic Systems and Random Signals," by Abraham H Haddad, Prentice Hall 2006, ISBN10: 0130094552
Homework is due Tuesday one week after it is assigned.
Homework 1: HW1,
due Tuesday April 07, 2020.
Homework 1 solution: HW1 solution,
Homework 2: HW2, due
Tuesday April 14, 2020.
Homework 2 solution: HW2 solution,
Homework 3: HW3, due
Tuesday April 21, 2020.
Homework 3 solution: HW3 solution,
Homework 4: HW4, due
Tuesday April 28, 2020.
Homework 4 solution: HW4 solution,
Homework 5: HW5, due
Tuesday May 5, 2020.
Homework 5 solution: HW5 solution,
Homework 6: HW6, due
Tuesday May 12, 2020.
Homework 6 solution: HW6 solution,
Homework 7: HW7, due
Tuesday May 19, 2020.
Homework 7 solution: HW7 solution,
Homework 8: HW8,
due Tuesday June 26, 2020.
Homework 8 solution: HW8 solution,
Homework 9: HW9, due
Tuesday June 2, 2020.
Homework 9 solution:
HW9 solution,
Homework 10: HW10,
Homework 10 solution: HW10 solution,
Midterm1 solution: Midterm_1_Solution,
Midterm2 solution: Midterm_2_Solution,
Notice : Efforts on
homework should be individual based on the material in class
and in the book. Students that will get caught copying their
solution from the solution manual, past solutions, or other
students, will face disciplinary actions.
The final grade for this class will be determined based on
Midterm 1: 
25% 
Midterm 2: 
25% 
Homework: 
10% 
Final: 
40% 
The final grade will be based on the total number of points accumulated at the end of the term
Midterm 1: 
Tue April 28, 2019 (week 5) 2:003:20 (in class) 
Midterm 2:  Tue May 19, 2019 (week 8) 2:003:20 (in class)

Final:  Thu June 11, 2019 12:002:00 (in class) 