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CENG 222 - Statistical Methods for Computer Engineering (SECTION 1) (Spring 2018-2019) COURSE HOME PAGE SCHEDULE and COURSE MATERIAL |
| Date | Lecture Topics | Reading | Assignments | |
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| Week #1 |
Feb 11, Mon Feb 14, Thur |
No class on Monday. First meeting on Thursday Course overview Probability: Events and their probabilities (2.1.1), Rules of probability (2.2), Combinatorics (2.3 - student reading) Conditional probability and independence (2.4) Lecture slides |
Class Web Page Chapter 2 |
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| Week #2 |
Feb 18, Mon Feb 21, Thur |
Discrete Random Variables:
Distribution of a random variable and a random vector (3.1 and 3.2) Expectation and variance (3.3 - excluding 3.3.7) Lecture slides |
Chapter 3 (3.1, 3.2, and 3.3) |
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| Week #3 |
Feb 25, Mon Feb 28, Thur |
Discrete distributions (3.4): Bernoulli distribution, Binomial distribution, Negative Binomial distribution, Geometric distribution, Poisson distribution Poisson approximation to Binomial Lecture slides |
Chapter 3 (3.4)
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Exercises 2.15, 2.20, and 2.29. Due March 3. |
| Week #4 |
Mar 4, Mon Mar 7, Thur |
Continuous distributions (Chapter 4) Probability density (4.1) Uniform distribution, Exponential distribution (4.2) Lecture slides |
Chapter 4 (4.1, 4.2)
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| Week #5 |
Mar 11, Mon Mar 14, Thur |
Continuous distributions (Chapter 4) Gamma distribution, Normal distribution (4.2), Normal approximation to Binomial (4.2) Central Limit Theorem (4.3) Lecture slides |
Chapter 4 (4.2, 4.3)
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Exercises 3.10, 3.15, 3.19, and 3.26. Due March 21. |
| Week #6 |
Mar 18, Mon Mar 21, Thur |
Simulation of random variables (5.2) Monte Carlo methods (5.3.1 and 5.3.2) Lecture slides |
Chapter 5 (5.2.1-5.2.4, 5.3.1, 5.3.2)
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| Week #7 |
Mar 25, Mon Mar 28, Thur |
Midterm Exam |
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| Week #8 |
Apr 1, Mon Apr 4, Thur |
Statistics (Chapter 8): Population and sample, parameters and statistics (8.1) Simple descriptive statistics (8.2) Graphical statistics (8.3) Lecture slides |
Chapter 8
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| Week #9 |
Apr 8, Mon Apr 11, Thur |
Statistical inference (Chapter 9) Parameter estimation (9.1) Confidence intervals (9.2) Unknown standard deviation (9.3) Lecture slides |
Chapter 9 (9.1, 9.2, and 9.3)
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Assignment #3 Due date: April 24. |
| Week #10 |
Apr 15, Mon Apr 18, Thur |
Statistical inference continued Hypothesis testing. Type I and Type II errors. Level alpha tests. P-value. (9.4) Lecture slides |
Chapter 9 (9.4)
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| Week #11 |
Apr 22, Mon Apr 25, Thur |
Statistical inference continued (Chapter 10) Chi-square tests (10.1) Lecture slides |
Chapter 10 (10.1)
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| Week #12 |
Apr 29, Mon May 2, Thur |
Regression (Chapter 11) Least squares estimation (11.1) Lecture slides |
Chapter 11 (11.1)
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Assignment #4: Exercises 9.10, 9.12, 10.3, and 10.9 Due May 20. |
| Week #13 |
May 6, Mon May 9, Thur |
Stochastic processes (Chapter 6) Definitions and classifications. (6.1) Markov processes and Markov chains. (6.2) Lecture slides |
Chapter 6 (6.1, and 6.2)
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| Week #14 |
May 13, Mon May 16, Thur |
Stochastic processes continued (Chapter 6) Counting processes (6.3) Simulation of stochastic processes (6.4) Lecture slides |
Chapter 6 (6.3, and 6.4)
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| Week #14 |
May 20, Mon |
Final review |
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