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Computer Science (College/University Lectures)

Computer Science Lectures

Video Tutorials under Computer Science

• Abstract data types
• A Wrap Up of Multi-dimensional Arrays
• An Interface
• Array
• Biased random walks
• Binary search
• Bisection methods
• Common code patterns
• Complexity
• Course overview: What do computer scientists do?
• Decomposition and abstraction through functions
• Defining a Social Network for Our Purposes
• Divide and conquer methods
• Dynamic programming
• Encapsulation
• Enumeration
• Floating point numbers
• GUI
• Importance of Private Variables
• Information Hiding
• Introduction and Goals of the Course
• Introduction to Computer Programming
• Introduction to Karel
• Introduction to object-oriented programming
• Introduction to the Standard Java Libraries
• Karel and Java
• Knapsack problem
• Life After Programming Methodology
• Lists and mutability
• Memory
• Monte Carlo simulations
• Multi-dimensional Arrays
• Normal, uniform, and exponential distributions
• Operators
• Operators and operands
• Overview of NameSurfer – The Next Assignment
• Pointer Recap
• Presenting simulation results
• Principles of Good Software Engineering for Managing Large Amounts of Data
• Review of Interactors and Listeners
• Searching, Sorting and Algorithmic Efficiency
• Stock market simulation
• String Processing
• Strings
• Testing and debugging
• The GImage Class
• The Graphics Contest Winners
• The History of Computing
• The Loop and a Half Problem
• Validating simulation results
• Variables