Cis 163-Sp24 Final Exam Study Guide And Solutions

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CIS 163-SP24 Final Exam Study Guide and Solutions

Course Overview

CIS 163-SP24 is a comprehensive course that covers the fundamental concepts of computer science, including programming, data structures, and algorithms. This study guide provides a detailed outline of the topics covered in the course, along with solutions to help students prepare for the final exam.

Course Objectives

Upon completing this course, students will be able to:

• Understand the basic concepts of programming, including data types, variables, control structures, and functions
• Implement data structures, such as arrays, linked lists, stacks, and queues
• Analyze and design algorithms for solving problems efficiently
• Apply problem-solving skills to real-world scenarios

Topic 1: Programming Fundamentals

• Data types: integers, floats, strings, booleans
• Variables: declaration, assignment, scope
• Control structures: if-else statements, for loops, while loops
• Functions: definition, calling, parameters, return types

Example Questions

1. What is the output of the following code?

x = 5
y = 3
print(x + y)

Answer: 8

2. Write a function that calculates the area of a rectangle given its length and width.

def rectangle_area(length, width):
  return length * width

Topic 2: Data Structures

• Arrays: declaration, indexing, slicing
• Linked lists: nodes, traversal, insertion, deletion
• Stacks: push, pop, peek
• Queues: enqueue, dequeue, peek

Example Questions

1. What is the time complexity of searching for an element in an array? Answer: O(n)

2. Implement a stack using a linked list.

class Node:
  def __init__(self, value):
    self.value = value
    self.next = None

class Stack:
  def __init__(self):
    self.top = None

  def push(self, value):
    node = Node(value)
    node.next = self.top
    self.top = node

  def pop(self):
    if self.top is None:
      return None
    value = self.top.value
    self.top = self.top.next
    return value

Topic 3: Algorithms

• Sorting: bubble sort, selection sort, insertion sort
• Searching: linear search, binary search
• Graph algorithms: BFS, DFS

Example Questions

1. What is the time complexity of bubble sort? Answer: O(n^2)

2. Implement a binary search algorithm.

def binary_search(arr, target):
  low = 0
  high = len(arr) - 1
  while low <= high:
    mid = (low + high) // 2
    if arr[mid] == target:
      return mid
    elif arr[mid] < target:
      low = mid + 1
    else:
      high = mid - 1
  return -1

Gallery of CIS 163-SP24 Topics

FAQs

We hope this study guide helps you prepare for the CIS 163-SP24 final exam. Good luck!