06:37

[Probability & Stochastic Processes] - Lecture 27: THE POISSON PROCESS (DEFINITION 3)

06:17

[Probability & Stochastic Processes] - Lecture 20: MEAN SQUARE SENSE AND ALMOST SURE CONVERGENCE

13:06

[Probability & Stochastic Processes] - Lecture 35: MARKOV CHAINS: CONVERGENCE

11:04

[Probability & Stochastic Processes] - Lecture 30: MARKOV CHAINS

15:59

[Probability & Stochastic Processes] - Lecture 26: THE POISSON PROCESS (DEFINITION 2)

07:02

[Probability & Stochastic Processes] - Lecture 8: DISCRETE RANDOM VARIABLES

13:30

[Probability & Stochastic Processes] - Lecture 36: STATIONARY DISTRIBUTIONS IN A MARKOV CHAINS

04:57

[Probability & Stochastic Processes] - Lecture 14: COVARIANCE

09:42

[Probability & Stochastic Processes] - Lecture 32: MARKOV CHAINS: CLASSIFICATION OF STATES PART 1

11:24

[Probability & Stochastic Processes] - Lecture 15: CONDITIONAL EXPECTATION

05:39

[Probability & Stochastic Processes] - Lecture 10: INTRODUCTION TO STOCHASTIC PROCESSES

14:00

[Probability & Stochastic Processes] - Lecture 9: CONTINUOUS RANDOM VARIABLES

08:33

[Probability & Stochastic Processes] - Lecture 21: EXAMPLE: ALMOST SURE CONVERGENCE

11:29

[Probability & Stochastic Processes] - Lecture 22: EXAMPLE: IN PROBABILITY vs MSE CONVERGENCE

09:07

[Probability & Stochastic Processes] - Lecture 23: EXAMPLE: MSE CONV. DOESN'T IMPLY ALMOST SURE CONV

04:07

[Probability & Stochastic Processes] - Lecture 16: ITERATED EXPECTATION

13:16

[Probability & Stochastic Processes] - Lecture 28: MERGING AND SPLITTING POISSON PROCESSES

10:11

[Probability & Stochastic Processes] - Lecture 13: VARIANCE

12:33

[Probability & Stochastic Processes] - Lecture 19: CONVERGENCE IN DISTRIBUTION

16:52

[Probability & Stochastic Processes] - Lecture 2: PROBABILITY SPACES

09:57

[Probability & Stochastic Processes] - Lecture 18: CONVERGENCE IN PROBABILITY

05:35

[Probability & Stochastic Processes] - Lecture 12: EXPECTATION

13:04

[Probability & Stochastic Processes] - Lecture 33: MARKOV CHAINS: CLASSIFICATION OF STATES PART 2

10:45

[Probability & Stochastic Processes] - Lecture 24: COUNTING PROCESSES

13:49

[Probability & Stochastic Processes] - Lecture 1: MEASURABLE SPACES

12:46

[Probability & Stochastic Processes] - Lecture 5: PROOF OF THE BOREL CANTELLI LEMMAS

13:26

[Probability & Stochastic Processes] - Lecture 7: CUMULATIVE DISTRIBUTION FUNCTION (CDF)

08:25

[Probability & Stochastic Processes] - Lecture 4: BOREL CANTELLI LEMMAS

10:08

[Probability & Stochastic Processes] - Lecture 25: THE POISSON PROCESS (DEFINITION 1)

17:21

[Probability & Stochastic Processes] - Lecture 17: MARKOV & CHEBYCHEV INEQUALITIES

11:48

[Probability & Stochastic Processes] - Lecture 29: POISSON PROCESS EXAMPLE

09:21

[Probability & Stochastic Processes] - Lecture 11: DISCRETE STOCHASTIC PROCESSES

14:21

[Probability & Stochastic Processes] - Lecture 6: RANDOM VARIABLES

12:37

[Probability & Stochastic Processes] - Lecture 3: CONTINUITY OF PROB., BAYES' S RULE, INDEPENDENCE

16:30

[Probability & Stochastic Processes] - Lecture 31: CONVERGENCE IN MARKOV CHAINS

11:56

[Probability & Stochastic Processes] - Lecture 34: CLASSIFICATION OF MARKOV CHAINS

21:01

5 - MULTIPLE STEADY STATES IN CHEMICAL REACTORS

09:01

8.3 - PERFORMANCE INDICATORS

20:39

8.1 - CRE FOR COMPLEX REACTIONS

17:42

8.5 - EXAMPLE: OPTIMUM SPACETIME IN A CSTR (MFR)

21:09

2.1- Setting up the problem through balance equations

11:32

2.7 - Energy Balance around a Chemical Reactor

08:52

2.2 - Constant Volume, Constant Density Assumptions

10:12

4.1 - BATCH REACTOR CONSTANT PRESSURE

03:22

3.3 - Example Solutions

22:21

2.5 - The Energy Balance

06:09

4.4 - PLUG FLOW REACTOR AND BATCH REACTOR ANALOGY

16:14

8.4 - PERFORMANCE INDICATOR REACTION EXTENT

05:37

4.3 - ACCOUNTING FOR VOLUME CHANGE IN A BATCH REACTOR

10:31

3.2 - Energy Balances Examples

09:03

2.4 - Design Equations for a Batch Reactor and a Plug Flow Reactor

09:59

4.2 - ACCOUNTING FOR VOLUME CHANGE

07:44

1.6 - Unsteady State Reactor

09:24

1.4 - Time and Length Scales

22:04

3.1- Energy Balance around a Batch Reactor

10:32

1.1 - Chemical Reaction Engineering

09:14

7 - AVERAGE HEAT CAPACITIES

10:04

1.3 - Structure of Problem and Its Solution

06:04

8.2 - DESIGN EQUATION FOR A BATCH REACTOR

06:00

2.3 - Solving the Equations