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Calculus II - Computer Science 2

Calculus II - Computer Science 2


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Last Update 24/02/2022
Completion Time 4 days 1 hour 32 minutes
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Advanced Technical Computer Science
  • Calculus part 2
    64Lessons ·
    • Calculus II - 6.1.1 General and Particular Solutions to Differential Equations
    • Calculus II - 6.1.2 Slope Fields
    • Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation
    • Calculus II - 6.2.2 Models of Exponential Growth and Decay
    • Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions
    • Calculus II - 6.3.2 The Logistic Differential Equation
    • Calculus II - 6.4.1 First Order Linear Differential Equations
    • Calculus II - 7.1.1 Finding The Area Under a Curve
    • Calculus II - 7.1.2 Finding the Area Between Two Curves
    • Calculus II - 7.1.3 Applications Involving the Area Between Two Curves
    • Calculus II - 7.2.1 Finding Volume Using the Disk Method
    • Calculus II - 7.2.2 Finding Volume Using the Washer Method
    • Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections
    • Calculus II - 7.3.1 Finding Volume Using the Shell Method
    • Calculus II - 7.3.2 Disk Method vs. Shell Method
    • Calculus II - 7.4.1 Finding Arc Length
    • Calculus II - 7.4.2 Surfaces of Revolution
    • Calculus II - 7.5.1 Work, Work, Work
    • Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System
    • Calculus II - 7.6.2 Center of Mass of a Planar Lamina
    • Calculus II - 7.7.1 Fluid Pressure and Fluid Force
    • Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules
    • Calculus II - 8.2.1 Integration by Parts
    • Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine
    • Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent
    • Calculus II - 8.4.1 Trigonometric Substitution
    • Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate
    • Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate
    • Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals
    • Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals
    • Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration
    • Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities
    • Calculus II - 9.1.1 The Limit of a Sequence
    • Calculus II - 9.1.2 Pattern Recognition for Sequences
    • Calculus II - 9.1.3 Monotonic and Bounded Sequences
    • Calculus II - 9.2.1 Infinite Series
    • Calculus II - 9.2.2 The Geometric Series
    • Calculus II - 9.2.3 The nth Term Test for Divergence
    • Calculus II - 9.3.1 The Integral Test
    • Calculus II - 9.3.2 The p-Series
    • Calculus II - 9.4.1 The Direct Comparison Test
    • Calculus II - 9.4.2 The Limit Comparison Test
    • Calculus II - 9.5.1 The Alternating Series Test
    • Calculus II - 9.5.2 The Alternating Series Remainder
    • Calculus II - 9.5.3 Absolute and Conditional Convergence
    • Calculus II - 9.6.1 The Ratio Test
    • Calculus II - 9.6.2 The Root Test
    • Calculus II - 9.8.1 The Power Series L=0 or L=Inf
    • Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence
    • Calculus II - 9.9.1 Represent Functions with the Geometric Power Series
    • Calculus II - 9.9.2 Operations with The Geometric Power Series
    • Calculus II - 9.10.1 The Taylor and Maclaurin Series
    • Calculus II - 9.10.2 The Binomial Series
    • Calculus II - 9.10.3 Use The Power Series for Elementary Functions
    • Calculus II - 10.1.1 An Introduction to Conic Sections
    • Calculus II - 10.1.2 Parabolas
    • Calculus II - 10.1.3 Ellipses
    • Calculus II - 10.1.4 Hyperbolas
    • Calculus II - 10.2.1 Plane Curves and Parametric Equations
    • Calculus II - 10.2.2 Finding Parametric Equations
    • Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations
    • Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion
    • Calculus II - 10.4.2 Polar Graphs
    • Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations
  • Discrete mathematics part 2
    26Lessons ·
    • Discrete Math - 2.6.1 Matrices and Matrix Operations
    • Discrete Math - 2.6.2 Matrix Operations on your TI-84
    • Discrete Math - 2.6.3 Zero-One Matrices
    • Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code
    • Discrete Math - 3.1.2 Searching Algorithms
    • Discrete Math - 3.1.3 Sorting Algorithms
    • Discrete Math - 3.1.4 Optimization Algorithms
    • Discrete Math - 4.1.1 Divisibility
    • Discrete Math - 4.1.2 Modular Arithmetic
    • Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal
    • Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal
    • Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions
    • Discrete Math - 4.2.4 Algorithms for Integer Operations
    • Discrete Math - 4.3.1 Prime Numbers and Their Properties
    • Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples
    • Discrete Math - 4.3.3 The Euclidean Algorithm
    • Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations
    • Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse
    • Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae
    • Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities
    • Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility
    • Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction
    • Discrete Math - 5.3.1 Revisiting Recursive Definitions
    • Discrete Math - 5.3.2 Structural Induction
    • Discrete Math - 5.4.1 Recursive Algorithms
    • Discrete Math - 6.1.1 Counting Rules
  • Intoduction to c++ and object-oriented programming
    13Lessons ·
    • Install C++ & NetBeans
    • Setup Visual Studio Code Mac
    • Setup Visual Studio Code Windows
    • C++ Tutorial
    • C++ Tutorial 2 : Conditionals, Arrays, Vectors, Strings, Loops
    • C++ Tutorial 3 : Pointers & Functions
    • C++ Tutorial 4 : Exception Handling & Looping
    • C++ Tutorial 5 : Strings & Math
    • C++ Tutorial 6 : Solving Problems
    • C++ Tutorial 7 : Solving Problems
    • C++ Tutorial 8 : Recursion Algorithms & Overloaded Functions
    • C++ Tutorial 9 : Lambda Expressions
    • C++ Tutorial 10 : Object Oriented Programming
  • Computer system architecture
    40Lessons ·
    • Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Review Session 1 - CMU - Computer Architecture 2015 - Onur Mutlu
    • Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 8. Pipelining II: Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Review Session 2 - CMU - Computer Architecture 2015 - Onur Mutlu
    • Lecture 11. Precise Exceptions, State Maintenance/Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 21: Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 22: Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 23: Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 24: Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 25: Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu
    • Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
    • Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu
  • Introduction to web design (html + css)
    2Lessons ·
    • HTML Crash Course For Absolute Beginners
    • CSS Crash Course For Absolute Beginners