
Explore recursive functions, base and recursive cases, and how factorial and tree traversals illustrate recursion, along with tail and head recursion, and direct versus indirect recursion.
Explore advanced recursive programs and case studies, including string length, palindrome checks, and binary search. Examine GCD, tower of Hanoi, and tree traversals to reinforce recursion concepts.
Learn to design and execute unit, integration, system, and acceptance tests, negative testing, and user validation to verify correctness, detect bugs, debug, and maintain C programs.
Master the testing phase to verify correctness across unit, integration, system, and acceptance tests, including negative testing and user validation. Learn debugging, code reviews, maintenance, and documentation to support PDLC.
Explore code optimization in C by converting to shorter, cleaner constructs using mod, ternary operators, and relational checks for even/odd, sum of digits, factorial, Fibonacci series, and switch-driven flows.
Explore file handling in C to store data permanently on disk, using text and binary files, file pointers, and functions like fopen and fprintf for reading and writing.
Design and implement a C file-handling student record management system with a menu-driven interface to add, display, search, update, delete records, ensuring unique roll numbers and persistent data.
Learn to build a binary file student database in C: define a student struct with roll number, name, and marks, and implement add, display, search, update, and delete.
Master command line arguments in C using argc and argv to pass inputs at program launch, access program name as argv[0], and convert arguments for flexible, automated tasks.
Demonstrate running command-line arguments in C by using argc and argv to print the total number of arguments through a loop, then execute the program as ./a.out hello C program.
Explore the C preprocessor and directives, learning macro expansion, header file inclusion, and conditional compilation using define, include, undef, ifdef, ifndef, if, else, and else if.
This course module focuses on advanced programming concepts related to recursion, testing, and code optimization in software development. These topics help students understand how to design efficient algorithms, verify program correctness, and improve program performance.
The module begins with Recursion Fundamentals, which introduces the concept of solving problems by breaking them down into smaller subproblems. Students will learn how recursive functions work, including the importance of base cases and recursive calls. Through practical examples such as factorial, Fibonacci series, and simple mathematical computations, learners will understand how recursion simplifies complex problem-solving.
Building on this foundation, the course explores Advanced Recursive Programs, where recursion is applied to more complex problems such as searching, tree traversal concepts, and solving mathematical or logical problems. Students will gain deeper insights into how recursion can be used effectively in algorithm design.
The module then introduces Testing in Programming, emphasizing the importance of verifying whether a program works correctly under different conditions. Students will learn basic testing techniques used to detect errors, validate program outputs, and ensure reliability.
Next, the course discusses Testing and Optimization, highlighting how testing helps identify inefficiencies and logical errors in programs. Students will learn how to analyze program behavior and improve performance through better coding practices.
The concept of Phase 4 Testing is also covered, which focuses on evaluating the final stage of program development to ensure the program meets its intended requirements and performs efficiently.
Finally, the module introduces Optimized Code Techniques, where students learn strategies to improve program efficiency, reduce execution time, and minimize resource usage. By the end of this module, students will be able to design recursive solutions, test their programs systematically, and write optimized, efficient code for real-world applications.