SCCI Digital Library and Forum

MIT

S# Lecture Course Institute Instructor Discipline
3026
16. Renewals and Countable-state Markov (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3027
17. Countable-state Markov Chains (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3028
18. Countable-state Markov Chains and Processes (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3029
19. Countable-state Markov Processes (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3030
2. More Review; The Bernoulli Process (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3031
20. Markov Processes and Random Walks (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3032
21. Hypothesis Testing and Random Walks (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3033
22. Random Walks and Thresholds (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3034
23. Martingales (Plain, Sub, and Super) (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3035
24. Martingales: Stopping and Converging (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3036
25. Putting It All Together (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3037
3. Law of Large Numbers, Convergence (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3038
4. Poisson (the Perfect Arrival Process) (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3039
5. Poisson Combining and Splitting (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3040
6. From Poisson to Markov (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3041
7. Finite-state Markov Chains; The Matrix Approach (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3042
8. Markov Eigenvalues and Eigenvectors (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3043
9. Markov Rewards and Dynamic Programming (M-I-T)
Discrete Stochastic Processes, Spring 2011 (M-I-T) MIT Prof. Robert Gallager Applied Sciences
3044
1. Resonance I (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3045
10. Atoms in External Fields II (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3046
11. Atoms in External Fields III (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3047
12. Atoms in External Fields IV and Atom-light Interactions I (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3048
13. Atom-light Interactions II (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3049
14. Atom-light Interactions III (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences
3050
15. Atom-light Interactions IV (M-I-T)
Atomic and Optical Physics I (M-I-T) MIT Prof. Wolfgang Ketterle Basic and Health Sciences