Introduction to Computer Science and Programming

Video Lecture Description	Sub-Category	Time	Click to view video
	Lecture 1 - Introduction and Goals of the Course	Programming	54 min	Click to view videos
	Lecture 2 - Operators and operands	Programming	51 min	Click to view videos
	Lecture 3 - Common code patterns	Programming	51 min	Click to view videos
	Lecture 4 - Decomposition and abstraction through functions	Programming	51 min	Click to view videos
	Lecture 5 - Floating point numbers	Programming	44 min	Click to view videos
	Lecture 6 - Bisection methods	Programming	50 min	Click to view videos
	Lecture 7 - Lists and mutability	Programming	46 min	Click to view videos
	Lecture 8 - Complexity	Programming	50 min	Click to view videos
	Lecture 9 - Binary search	Programming	48 min	Click to view videos
	Lecture 10 - Divide and conquer methods	Programming	46 min	Click to view videos
	Lecture 11 - Testing and debugging	Programming	49 min	Click to view videos
	Lecture 12 - Knapsack problem	Programming	50 min	Click to view videos
	Lecture 13 - Dynamic programming	Programming	49 min	Click to view videos
	Lecture 14 - Introduction to object-oriented programming	Programming	51 min	Click to view videos
	Lecture 15 - Abstract data types	Programming	50 min	Click to view videos
	Lecture 16 - Encapsulation	Programming	50 min	Click to view videos
	Lecture 17 - Computational models	Programming	49 min	Click to view videos
	Lecture 18 - Presenting simulation results	Programming	53 min	Click to view videos
	Lecture 19 - Biased random walks	Programming	50 min	Click to view videos
	Lecture 20 - Monte Carlo simulations	Programming	48 min	Click to view videos
	Lecture 21 - Validating simulation results	Programming	54 min	Click to view videos
	Lecture 22 - Normal, uniform, and exponential distributions	Programming	51 min	Click to view videos
	Lecture 23 - Stock market simulation	Programming	51 min	Click to view videos
	Lecture 24 - Course overview: What do computer scientists do?	Programming	43 min	Click to view videos