| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 3251 |
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3252 |
Lecture 6 Discrete Random Variable Examples; Joint PMFs
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3253 |
9B Explicit-control Evaluator
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3254 |
Lecture 7 Multiple Discrete Random Variables Expectations, Conditioning, Independence
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3255 |
Lecture 8 Continuous Random Variables
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3256 |
Lecture 9 Multiple Continuous Random Variables
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3257 |
|
Understanding Laser and Fiberoptics (M-I-T)
|
MIT
|
Prof. Dr. Shaoul Ezekiel
|
Applied Sciences
|
| 3258 |
|
Understanding Laser and Fiberoptics (M-I-T)
|
MIT
|
Prof. Dr. Shaoul Ezekiel
|
Applied Sciences
|
| 3259 |
|
Understanding Laser and Fiberoptics (M-I-T)
|
MIT
|
Prof. Dr. Shaoul Ezekiel
|
Applied Sciences
|
| 3260 |
|
Understanding Laser and Fiberoptics (M-I-T)
|
MIT
|
Prof. Dr. Shaoul Ezekiel
|
Applied Sciences
|
| 3261 |
Laser Fundamentals III (cont.)
|
Understanding Laser and Fiberoptics (M-I-T)
|
MIT
|
Prof. Dr. Shaoul Ezekiel
|
Applied Sciences
|
| 3262 |
Advanced Methods (PDF) (M-I-T)
|
Introduction to MATLAB (M-I-T)
|
MIT
|
Orhan Celiker
|
Applied Sciences
|
| 3263 |
Lecture 1: Introduction to MATLAB (PDF – 2.8MB) (M-I-T)
|
Introduction to MATLAB (M-I-T)
|
MIT
|
Orhan Celiker
|
Applied Sciences
|
| 3264 |
Solving Equations, Curve Fitting, and Numerical Techniques (PDF – 1.2MB) (M-I-T)
|
Introduction to MATLAB (M-I-T)
|
MIT
|
Orhan Celiker
|
Applied Sciences
|
| 3265 |
Various Functions and Toolboxes (PDF – 3.3MB) (M-I-T)
|
Introduction to MATLAB (M-I-T)
|
MIT
|
Orhan Celiker
|
Applied Sciences
|
| 3266 |
Visualization and Programming (PDF – 2.3 MB) (M-I-T)
|
Introduction to MATLAB (M-I-T)
|
MIT
|
Orhan Celiker
|
Applied Sciences
|
| 3267 |
1.2.1 What is Information? (M-I-T)
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3268 |
1.2.10 Error Detection and Correction (M-I-T)
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3269 |
1.2.11 Error Correction (M-I-T)
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3270 |
1.2.12 Worked Examples (M-I-T)
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3271 |
1.2.2 Quantifying Information (M-I-T)
|
1 Basics of Information (M-I-T)
|
MIT
|
334
|
Applied Sciences
|
| 3272 |
10.2.1 Intro to Assembly Language (M-I-T)
|
10 Assembly Language, Models of Computation (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3273 |
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3274 |
10.2.2 Symbols and Labels (M-I-T)
|
10 Assembly Language, Models of Computation (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|
| 3275 |
|
1 Basics of Information (M-I-T)
|
MIT
|
Chris Terman
|
Applied Sciences
|