Unit 1 - Lesson 14 - Standard Algorithms: Linear Search (Position)

19/08/2025 9 min Temporada 1 Episodio 15
Unit 1 - Lesson 14 - Standard Algorithms: Linear Search (Position)

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Episode Synopsis

Standard Algorithms: Linear Search (Position)Welcome to our next episode on Standard Algorithms! Today, we're building on our previous discussion of the linear search. We'll be covering Period 14, and our goal is to help you implement a linear search to find the position of an item in an array. This is a crucial step, especially when you need to retrieve related data from parallel arrays. 📍Why Finding Position MattersWe'll start by explaining why finding the position (or index) of an item is so important. When you're working with parallel arrays, the position of an item in one array corresponds to the position of its related data in another array. For example, if you find a student's name at index 5 in one array, you know their grade is at index 5 in the parallel grade array. We'll show you how a linear search can find this exact position, allowing you to access all the related information.We'll review the code for a "Linear Search to find the position of an item in an array." We'll focus on how the algorithm is modified to not just check for existence, but to return the specific index where the item is found.Hands-on Practice & Assessment 🧑‍💻You'll get hands-on practice by typing up and testing the "Linear Search (position)" example code. We'll then have you apply this skill to tasks from your booklets: Task 9, Problem 1b from "Software Design and Development Booklet v1.4.pdf" and Task 2c from "Kings Park Booklet.pdf". These exercises will challenge you to use the linear search to find an item's position and then use that position to work with data in other arrays.For those who need a little extra guidance, we'll provide a step-by-step guide on how to trace the values of the posInArray and posFound variables as they change through the loop. This tracing will help you visualize exactly how the algorithm works. By the end of this episode, you'll be able to not only find an item but also its location, unlocking more complex data retrieval possibilities.