Proses Stokastik
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Welcome to the Stochastic Process Class
Stochastic Process Semester Learning Plan
Stochastic Process Handbook
Announcements
1. PROBABILITY
Specifying Random Experiment
Probability Theory
Conditional Probability
Total Probability
Bayes Theorem
Independent Events
Reliability System
Experiment of Coin tossing
Experiment of Dice throwing
Assigment 1: Probability
Tutorial 1: Probability Questions and Answers
Discussion 1: Probability
2. RANDOM VARIABELS
Concept of Random Variabels
2a. Discrete Random Variabels
PMF Discrete Random Variables
CDF Discrete Random Variables
Moments of Discrete Random Variables
Poisson Model
Binomial Model
Exsperiment of Distribution Model of Discrete Random Variabels
Matlab - Exsperiment of Distribution Model of Discrete Random Variabels
Assignment 2a : Discrete Random Variabels
Discussion 2a : Discrete Random Variabels
2b. Continuous Random Variabels
CDF Continuous Random Variabels
PDF Continuous Random Variabels
Moment of Continuous Random Variabels
Exponensial Model
Gaussian Model
Weibull Model
Random Variabels Transformation
Exsperiment of Distribution Model of Continuous Random Variabels
Matlab - Exsperiment of Distribution Model of Continuous Random Variabels
Assignment 2b : Continuous Random Variabels
Tutorial 2 : Random Variabels Question - Answer
Discussion 2b : Continuous Random Variabels
3. RANDOM VECTOR
Joint PMF
Joint CDF
Joint PDF
Conditional Random Variables
Independent Random Variables
Sum of Independent Random Variables
Joint Moments of Random Variables
Assignment 3 : Random Vector
Tutorial 3 : Random Vector Question - Answer
Discussion 3 : Random Vector
4. STOCHASTIC PROCESSES
Concept of Stochastic Processes
Stationary Random Process
Autocorrelation Function
Cross - Correlation Function
Covarians Function
Power Spectral Density Stochastic Process
Assignment 4a : Stochastic Processes
Assignment 4b : Random Sequence
Tutorial 4 : Stochastic Processes Question - Answer
Discussion 4 : Stochastic Processes
5. NOISE MODELS
Noise Models
Assignment 5 : Noise Models
Discussion 5 : Noise Models
6. LTI SYSTEMS WITH RANDOM INPUT
Continuous Linear System Response with Stochastic Input
Discrete Linear System Response with Stochastic Input
Assignment 6 : Linear System Response with Stochastic Input
Tutorial 6a : Continuous Linear System Response with Stochastic Input Question - Answer
Tutorial 6b : Discrete Linear System Response with Stochastic Input Question - Answer
Discussion 6 : Linear System Response with Stochastic Input
7. MARKOV PROCESSES
Continuous Markov Processes
Discrete Markov Processes
Assignment 7a : Continuous Markov Processes
Assignment 7b : Discrete Markov Processes
Discussion 7 : Markov Processes
MID and FINAL SEMESTER EVALUATION
Mid Semester Evaluation
Final Semester Evaluation
Kuis
EVALUATION OF TEACHING AND LEARNING ACTIVITIES
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Proses Stokastik
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK ELEKTRO KELAS INTERNASIONAL
Hibah E Learning IUP
Proses Stokastik
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Proses Stokastik
Teacher:
Nurlita Gamayanti