Introduction to Computer Science and Programming
Course Highlights
This course features a complete collection of assignments and a set of onlinereadings.
Course 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.
Technical Requirements
Special software is required to use some of the files in this course: .py.
Click Below to Download the files :-
LEC # | TOPICS |
---|---|
1 | Introduction, stored program computers, flow of control, Python |
2 | Variables, statements, conditionals, iteration, exhaustive search (PDF) |
3 | Iteration, strings, printing |
4 | Functions, recursion, call stacks (PDF) |
5 | Guess and check, approximate solutions, successive approximation (PDF) |
6 | Lists and mutability, dictionaries (PDF) |
7 | Pseudo code, program organization (PDF) |
8 | Time complexity, divide and conquer, binary search, merge sort (PDF) |
9 | Divide and conquer, merge sort, exceptions (PDF) |
10 | Knapsack problems, branch and bound (PDF) |
11 | Optimization, random walks, simulation (PDF) |
12 | Monte Carlo simulation, calculating pi (PDF) |
13 | Pylab, plotting, curve fitting (PDF) |
14 | Classes and object-oriented programming (PDF) |
15 | Abstract data types, invariants (PDF) |
16 | Data abstraction, invariants (PDF) |
17 | Debugging |
18 | Curve fitting, probability (PDF) |
19 | Debugging (cont.) (PDF) |
20 | Stock simulation (PDF) |
21 | Stock simulation (cont.) (PDF) |
22 | Trends in computer science research |
23 | Review |
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