Section	Meeting time and place	Instructor
C	10 MWF 3015 ECE Building	Professor Bruce Hajek e-mail: b-hajek AT illinois dot edu Office Hours: Wednesdays, 2-3 pm, Room 4036 ECEB
D	11 MWF 3017 ECE Building	Professor Venu Veeravalli e-mail: vvv AT illinois dot edu Office Hours: Thursdays, 2-3 pm, Room 4036 ECEB
E	1 MWF 3017 ECE Building	Professor Pramod Viswanath e-mail: pramodv AT illinois dot edu Office Hours: Fridays, 2-3 pm, Room 4036 ECEB
B	2 MWF 3017 ECE Building	Professor Olgica Milenkovic e-mail: milenkov AT illinois dot edu Office Hours: Fridays, 3-4 pm, Room 4036 ECEB

Graduate Teaching Assistants

Meghana Bande (mbande2 AT illinois dot edu)	Office Hours: Mondays 2-6 pm in Room 163 EL; Tuesdays 10am-noon and Fridays 4-6 pm in Room 4036 ECEB
Fardad Raisali (raisali2 AT illinois dot edu)	Office Hours: Tuesdays 3-7 pm, Room 257 EL
Lili Su (lilisu3 AT illinois dot edu)	Office Hours: Tuesdays 3-7 pm, Room 257 EL
James Yang (jyyang3 AT illinois dot edu)	Office Hours: Tuesdays 3-5 pm, Room 336 MEB and Tuesdays 5-7 pm, Room 257 EL
Bo Zhao (bozhao1 AT illinois dot edu)	Office Hours: Tuesdays 2-3 pm and Thursdays 3-6 pm, Room 4036 ECEB

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Text : ECE 313 Course Notes (hardcopy sold through ECE Stores, pdf file available.) Corrections to notes.

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Concept constellation Concept matrix

#	Week	Concepts (Reading)[ Short videos]	Short Answer Questions and Problems for Quizzes
1	8/25-8/29	*How to specify a set of outcomes, events, and probabilities for a given experiment (Ch 1.2) *set theory (e.g. de Morgan's law, Karnaugh maps for two sets) (Ch 1.2) *using principles of counting and over counting; binomial coefficients (Ch 1.3-1.4) [ILLINI, SAQ 1.3, SAQ 1.4, PokerIntro, PokerFH2P] *using Karnaugh maps for three sets (Ch 1.4)[Karnaughpuzzle, SAQ1.2]	SAQs (on p. 20) for Sections 1.2, 1.3, 1.4. Problems (pp. 21-24) 1.2, 1.4, 1.6, 1.8, 1.10, 1.12. Quiz 1: Wednesday, 9/3 (Deadline for concept certification is 7pm the SAME day.) Optional: [SAQ 1.5]
2	9/1-9/5	*random variables, probability mass functions, and mean of a function of a random variable (LOTUS) (Ch 2.1, first two pages of Ch 2.2) [pmfmean] *scaling of expectation, variance, and standard deviation (Ch 2.2) [SAQ 2.2] *conditional probability (Ch 2.3) [team selection][SAQ 2.3] *independence of events and random variables (Ch 2.4.1-2.4.2)[SimdocIntro][Simdoc-Minhash1]	SAQs (pp. 73-74) for Sections 2.2 & 2.3 Problems (pp. 76-81) 2.2 (quiz won't ask for mean and variance), 2.4, 2.6 (quiz skips parts (d) & (e)) , 2.12, 2.14, 2.16. Quiz 2: Monday, 9/8 (For the remainder of the semester, each quiz is on a Monday and the concept certification deadline is 7pm the next day, a Tuesday.)
3	9/8-9/12	*binomial distribution (how it arises, mean, variance, mode) (Ch 2.4.3-2.4.4)[SAQ 2.4][bestofseven] *geometric distribution (how it arises, mean, variance, memoryless property) (Ch. 2.5)[SAQ 2.5] *Bernoulli process (definition, connection to binomial and geometric distributions) (Ch 2.6)[SAQ 2.6] *Poisson distribution (how it arises, mean, variance) (Ch 2.7)[SAQ 2.7]	SAQs (p. 74) for Sections 2.4-2.7. Problems (pp. 82-84) 2.18, 2.20, 2.22, 2.24. For problems asking for a numerical answer, on a quiz you would only need to indicate how to solve the problems up to the point a calculator is needed. Quiz 3: Monday, 9/15
4	9/15-9/19	*Maximum likelihood parameter estimation (definition, how to calculate for continuous and discrete parameters) (Ch 2.8)[SAQ 2.8] *Markov and Chebychev inequalities (Ch 2.9) *confidence intervals (definitions, meaning of confidence level) (Ch 2.9)[SAQ 2.9,Simdoc-Minhash2] *law of total probability (Ch 2.10) [deuce] [SAQ 2.10] *Bayes formula (Ch. 2.10)	SAQs (pp. 74-75) for Sections 2.8-2.10. Problems (pp. 84-87) 2.26, 2.28, 2.30, 2.32, 2.34 Quiz 4: Monday, 9/22
5	9/22-9/26	*Hypothesis testing -- probability of false alarm and probability of miss (Ch. 2.11) *ML decision rule and likelihood ratio tests (Ch 2.11) [SAQ 2.11] *MAP decision rules (Ch 2.11) *union bound (Ch 2.12.1) [SAQ 2.12] *network outage probability and distribution of capacity (Ch 2.12.2-2.12.3) *probability of undetected error for coded system (Ch 2.12.4)	SAQs (p. 75) for Sections 2.11 & 2.12 Problems (pp. 87-92) 2.36, 2.38, 2.40, 2.42, 2.44, 2.46 (For 2.38 on quiz, you should realize the intervals overlap, even though you don't have a calculator.) Quiz 5: Monday, 9/29 Exam 1: Wednesday, October 8 (no quiz October 6)
6 & 7	9/29-10/10	*cumulative distribution functions (Ch 3.1)[SAQ 3.1] *probability density functions (Ch 3.2) [SAQ 3.2] [simplepdf] *uniform distribution (Ch 3.3) [SAQ 3.3] *exponential distribution (Ch 3.4) [SAQ 3.4]	SAQs (p. 143-144) for Sections 3.1-3.4. Problems (pp.146-148) 3.2, 3.4, 3.6, 3.8, 3.10. Quiz 6: Monday 10/13
8	10/13-10/17	*Poisson processes (Ch 3.5) [SAQ 3.5] *Erlang distribution (Ch 3.5.3) *scaling rule for pdfs (Ch. 3.6.1)[SAQ 3.6] *Gaussian (normal) distribution (e.g. using Q and Phi functions) (Ch. 3.6.2) [SAQ 3.6] [matlab help including Qfunction.m] *the central limit theorem and Gaussian approximation (Ch. 3.6.3) [SAQ 3.6]	SAQs (p 144) for Sections 3.5 & 3.6. Problems (pp. 148-151) 3.12, 3.14, 3.16, 3.18, 3.20. Quiz 7: Monday 10/20
9	10/20-10/24	*ML parameter estimation for continuous type random variables (Ch. 3.7)[SAQ 3.7] *the distribution of a function of a random variable (Ch 3.8.1)[SAQ 3.8] *generating random variables with a specified distribution (Ch 3.8.2) *the area rule for expectation based on CDF (Ch 3.8.3) *failure rate functions (Ch 3.9)[SAQ 3.9] *binary hypothesis testing for continuous type random variables (Ch 3.10) [SAQ 3.10]	SAQs (pp. 144-145) for Sections 3.7-3.10. Problems (pp. 151-156) 3.22, 3.24, 3.26, 3.28, 3.30, 3.32, 3.34, 3.38. Quiz 8: Monday 10/27
10	10/27-10/31	*joint CDFs (Ch 4.1)[SAQ 4.1] *joint pmfs (Ch 4.2)[SAQ 4.2] *joint pdfs (Ch 4.3)[SAQ 4.3] *joint pdfs of independent random variables (Ch 4.4)[SAQ 4.4]	SAQs (p. 215-216) for Sections 4.1-4.4. Problems (p. 218-221) 4.2, 4.4, 4.6, 4.8, 4.10, 4.12. To shorten the problems on quizzes, Parts 4.2(c), 4.4(c), 4.6(c), 4.10(e), 4.12(d) will not be included. Quiz 9: Monday 11/3
11 & 12	11/3-11/14	*distribution of sums of random variables (Ch 4.5)[SAQ 4.5] *more problems involving joint densities (Ch 4.6)[SAQ 4.6] *joint pdfs of functions of random variables (Ch 4.7)[SAQ 4.7]	SAQs (pp. 216-217) for Sections 4.5, 4.6, 4.7. Problems (pp. 221-222) 4.14, 4.16. NO QUIZ 11/10 Exam 2: Wednesday, 11/12 Quiz 10: Monday 11/17
13	11/17-11/21	*correlation and covariance (e.g. scaling properties) (Ch 4.8)[SAQ 4.8] *minimum mean square error unconstrained estimators (Ch 4.9.2) *minimum mean square error linear estimator (Ch 4.9.3)[SAQ 4.9]	SAQs (p. 217) for Sections 4.8, 4.9. Problems (p. 222-225) 4.18, 4.20, 4.22, 4.24, 4.26, 4.28. Quiz 11: Monday 12/1
	11/24-11/28	Thanksgiving	vacation
14	12/1-12/5	*law of large numbers (Ch 4.10.1) *central limit theorem (Ch 4.10.2)[SAQ 4.10] *joint Gaussian distribution (Ch 4.11) (e.g. five dimensional characterizations)[SAQ 4.11]	SAQs (p.217) for Sections 4.10-4.11 Problems (pp.225-230) 4.30, 4.32, 4.34, 4.36, 4.38, 4.40, 4.42 Quiz 12: Monday 12/8
15	12/8-12/10	wrap up and review

Optional Reading:

• D. V. Sarwate, Probability with Engineering Applications, Powerpoint Slides for ECE 313, Fall 2000