Lecture Details :
Course Description :
Basic model of computation, Notion of Algorithms, Principle of Mathematical Induction - Basics of functional programming, notion of types - Iterative versus recursive style - Correctness and efficiency issues in programming, time and space measures - Basics of imperative style programming - Assertions and loop invariants - Top down design and examples of step-wise refinement - Programming using structures, introduction to encapsulation and object oriented programming.
laboratory activities : Simple exercises and examples to introduce to student to the computing environment and usage of computers - Simple exercises and examples of functional programming - Examples of program correctness and experimental verification of efficiency and scaling - Simple imperative programming - A moderate size example of top down design, step-wise refinement and rapid prototyping to develop an imprative style modular program with structures.
Other Resources :
Other Computer Science Courses
- Computer Language Engineering by MIT
- Programming Languages and Compilers by UC Berkeley
- CSE 30341 Operating Systems by Other
- Dreamweaver by Other
- COMP2911 Design in Computing by The University of New South Wales
- Software Engineering by IIT Bombay
- Computer Science 61B by UC Berkeley
- Computer Organization by IIT Madras
- Introduction to Algorithms by MIT
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