1. Course number and name

010113942-65 โครงงาน 2 (Project II)

2. Credits and contact hours

3(0-6-3)

3. Instructor’s or course coordinator’s name

Assoc.Prof. Dr.Akkarat Boonpoonga

4. Text book, title, author, and year

1. Monson H. Hayes, "Statistical Digital Signal Processing and Modeling," Wiley, 1996.

5. Specific course information

1. brief description of the content of the course (catalog description)
   Probability and random variable; mathematics of random signal; autocorrelation function; cross-correlation function; power spectrum density function; response of linear system to random input; Wiener filter; discrete Kalman filter and application, continuous Kalman filter
2. prerequisites or co-requisites
   010113941-65 Project I
3. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
   Required :

6. Specific goals for the course

1. specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
   1. CLO1 The student will be able to read and understand the principle of Random Signal and Stochastic Process.
   2. CLO2 The student will be able to summarize the applications of Random Signal and Stochastic Process.
2. explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.

   ABET Student Outcome (SO) Listed in Criterion 3	Course learning outcome (CLO)
   SO1 an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.	CLO1 The student will be able to read and understand the principle of Random Signal and Stochastic Process. CLO2 The student will be able to summarize the applications of Random Signal and Stochastic Process.

7. Brief list of topics to be covered

8. Course Assessment