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Introduction to Computer Science and Programming



EBook NameIntroduction to Computer Science and Programming
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EBook Category Category: Computer Science

EBook Description: This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language. 01- Goals of the course; what is computation; introduction to data types, operators, and variables 02- Operators and operands; statements; branching, conditionals, and iteration 03- Common code patterns: iterative programs 04- Decomposition and abstraction through functions; introduction to recursion 05- Floating point numbers, successive refinement, finding roots 06- Bisection methods, Newton/Raphson, introduction to lists 07- Lists and mutability, dictionaries, pseudocode, introduction to efficiency 08- Complexity; log, linear, quadratic, exponential algorithms 09- Binary search, bubble and selection sorts 10- Divide and conquer methods, merge sort, exceptions 11- Testing and debugging 12- More about debugging, knapsack problem, introduction to dynamic programming 13- Dynamic programming: overlapping subproblems, optimal substructure 14- Analysis of knapsack problem, introduction to object-oriented programming 15- Abstract data types, classes and methods 16- Encapsulation, inheritance, shadowing 17- Computational models: random walk simulation 18- Presenting simulation results, Pylab, plotting 19- Biased random walks, distributions 20- Monte Carlo simulations, estimating pi 21- Validating simulation results, curve fitting, linear regression 22- Normal, uniform, and exponential distributions; misuse of statistics 23- Stock market simulation 24- Course overview; what do computer scientists do?


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1.Discrete Mathematics for Computer Science

An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems. Based on their teaching experiences, the authors offer an accessible text that emphasizes the fundamentals of discrete mathematics and its advanced topics. This text shows how to express precise ideas in clear mathematical language. Students discover the importance of discrete mathematics in describing computer science structures and problem solving. They also learn how mastering discrete mathematics will help them develop important reasoning skills that will continue to be useful throughout their careers.

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