SCCI Digital Library and Forum

MIT

S# Lecture Course Institute Instructor Discipline
3751
Lecture 20: Central Limit Theorem (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3752
L10v4: Equipotentials
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3753
L2v2: Kinds of Vector Fields
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3754
An overview of modern climate modeling (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences
3755
Lecture 21: Bayesian Statistical Inference I (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3756
L11v1: Conductors and Insulators
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3757
L2v3: Electric Field of a Positive Point Charge
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3758
Analysing Covid-19 data (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences
3759
Lecture 22: Bayesian Statistical Inference II (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3760
L11v2: Properties of Conductors
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3761
L2v4: Superposition
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3762
Arrays: Slices and views (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences
3763
Lecture 23: Classical Statistical Inference I (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3764
L2v5: Worked Example – Total Electric Field Due to 2 Charges
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3765
L11v3: Induced Charge on a Conductor from a Charge Outside
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3766
Basics of arrays in Julia (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences
3767
L3DDv1: Electric Field of a Dipole Everywhere in Space
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3768
L11v4: Induced Charge on a Conductor from a Charge Inside
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3769
Lecture 24: Classical Inference II (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3770
Billiard models and event-driven simulations (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences
3771
L3DDv2: Rewrite the Electric Field of a Dipole
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3772
L5v1: Introduction to Gauss's Law
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3773
L11v6: Faraday Cage
Electricity and Magnetism: Electrostatics MIT Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine Basic and Health Sciences
3774
Lecture 25: Classical Inference III; Course Overview (M-I-T)
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T) MIT Prof. John Tsitsiklis Applied Sciences
3775
Building an ocean model from scratch (M-I-T)
Introduction to Computational Thinking (Fall 2020) (M-I-T) MIT Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake Applied Sciences