แนวข้อสอบปลายภาค

Summary

This exam syllabus covers key topics in algorithms and data structures. Students are expected to implement a binary search tree, perform various sorting algorithms such as insertion, selection, and quicksort, and use graph structures to solve problems. Additionally, students will convert algorithms into code, analyze algorithm advantages, and apply learned concepts to practical problem-solving. The course tests both theoretical understanding and practical application, offering a comprehensive approach to mastering data structures and algorithms.

Takeaways

• 😀 Topic 1: Implementing a Binary Search Tree (BST) with a given set of numbers.
• 😀 Topic 2: Sorting a set of numbers using different algorithms such as insertion, selection, and quick sort.
• 😀 Topic 3: Creating and presenting graph data structures in a specified format.
• 😀 Topic 4: Converting algorithms into executable code in a chosen programming language.
• 😀 Topic 5: Sorting a set of numbers using insertion sort algorithm.
• 😀 Topic 6: Sorting a set of numbers using selection sort algorithm.
• 😀 Topic 7: Sorting a set of numbers using quick sort algorithm.
• 😀 Topic 8: Understanding the advantages and disadvantages of different sorting algorithms.
• 😀 Topic 9: Using algorithms and data structures to solve problems in real-world scenarios.
• 😀 Topic 10: Discussing how the subject knowledge can be applied to various tasks and projects.

Q & A

What is the main objective in the first topic of the exam, related to Binary Search Tree (BST)?

The main objective is for students to create a Binary Search Tree (BST) from a set of numbers provided in the exam.

What is the task for the second topic, which involves sorting numbers?

The task is to write a program to sort a given set of numbers using an appropriate sorting algorithm.

What are students required to do in the third topic regarding graph data structures?

Students need to create a graph data structure and present it in a specific format, which might involve graph representations such as adjacency matrices or lists.

What sorting algorithms should students be familiar with for the sorting tasks in the exam?

Students should be familiar with various sorting algorithms, including Insertion Sort, Selection Sort, and potentially others like QuickSort or MergeSort, as mentioned in the exam topics.

What is the purpose of the algorithm-to-code conversion task in the exam?

Students are required to convert a given algorithm into executable code, in a programming language of their choice, demonstrating their understanding of both the algorithm and programming concepts.

What is the Insertion Sort algorithm, and how is it used in the exam?

Insertion Sort is a simple sorting algorithm that builds the sorted list one element at a time by inserting each new element into its correct position. Students will use this algorithm to sort a set of numbers.

What is the Selection Sort algorithm, and how does it differ from Insertion Sort?

Selection Sort is a sorting algorithm that repeatedly selects the smallest (or largest) element from the unsorted portion and swaps it with the first unsorted element. Unlike Insertion Sort, which builds the sorted array incrementally, Selection Sort makes fewer swaps.

What could be the sorting algorithm referred to in topic 8 (unclear in the transcript)?

The algorithm in topic 8 could be referring to other common sorting algorithms, such as QuickSort or MergeSort, though the exact algorithm isn't specified in the transcript.

What is expected in the task involving analyzing the pros and cons of sorting algorithms?

Students are expected to evaluate the advantages and disadvantages of various sorting algorithms, considering factors such as time complexity, space complexity, stability, and use case efficiency.

What does the final exam topic about applying algorithms and data structures to problem-solving involve?

This task asks students to apply their knowledge of algorithms and data structures to solve practical problems, demonstrating their ability to use learned concepts in real-world scenarios.