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  1. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  2. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  3. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  4. Videos on geometry. Basic understanding of Algebra I necessary. After this, you'll be ready for Trigonometry.

  5. U05_L2_T1_WE2 Graphing Linear Inequalities in Two Variables.

  6. U05_L2_T1_we2 : Graphing linear inequalities in two variables.

  7. U05_L2_T1_we3 : Graphing linear inequalities in two variables.

  8. Graphing linear equations.

  9. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  10. Guest Lecturer: Krasimir Kolarov, Trajectory Generation - Basic Problem, Cartesian Planning, Cubic Polynomial, Finding Via Point Velocities, Linear Interpolation, Higher Order Polynomials, Trajectory Planning with Obstacles

  11. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  12. Heat, conductivity, and thermal expansion are the discussed in this lecture. Both linear thermal expansion, leading to a need for expansion joints in railroad rails on hot days, and cubical thermal expansion, as occurs in a mercury thermometer, are covered in detail. The lectures ends with a focus on the cubical thermal expansion of water: the density of ice is about 8% lower than water, so ice cubes and icebergs float.