ESS-ALGO.AE1
Essential Algorithms Using Python and C#
Explore computer algorithms for solving real-world problems using Python and C# programming language.
- Practice in 42 Praktische Übungen — nothing to install
- 21 Interaktive Lektionen Und 189 topics mapped to the official exam objectives
- 101 Testfragen zur Praxis
Beginner Selbstgesteuert · 1 Jahr Zugang 5.0/5 (15 Rezension)
42 Praktische LiveLabs
Practice real IT tasks in guided environments.
- Reale Umgebungen
- Automatisch bewertet
- Keine Installation
21Interaktive Lektionen
189Topics
42LiveLab
101Testfragen zur Praxis
434Karteikarten
436Glossar der Begriffe
01 / Fähigkeiten, die Sie erwerben
What you will be able to do
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Keine Kreditkarte benötigt
This course is about solving real-world problems following the principles of computer algorithms using Python and C# languages. Learn the fundamentals of Python algorithms (step-by-step instructions for solving problems) and data structures (organizing, storing, and accessing data). Explore a wide range of structures including arrays, linked lists, stacks, and queues. Learn how to measure an algorithm's most crucial complexities including how long it takes to run (time) and how much space it uses (space/memory). The course includes exercises and solutions that are useful for both students and professionals. It aims to help you prepare for programming job interviews that typically involve technical algorithm questions.
- Create algorithms to solve computational problems.
- Implementing data structures for storing and accessing data
- Expertly handling sorting algorithms like sort, merge sort, quicksort, and binary search
- Determining algorithm’s space and time complexities
- Learning advanced algorithms techniques like recursion, backtracking, and divide & conquer
- Gain confidence to answer computer algorithm related technical questions during job interviews
- Enhance your programming skills in both Python and C#
Course Highlights
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21 Strukturierte Lektionen Umfassende Abdeckung der zentralen Kursziele
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42 Praktische LiveLabs Interaktive, geführte Szenarien mit sofortiger Auswertung
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101 Übungsfragen Bewertungstests mit ausführlichen Antwortbegründungen
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1 Jahr voller Zugang Selbstgesteuertes Lernen, jederzeit auf allen Geräten zugänglich
02 / Lektionen & Labore
See exactly what you will learn and practice
Unterrichtsplan
21 Interaktive Lektionen · 189 topics01 Introduction 7 topics +
- Why You Should Study Algorithms
- Algorithm Selection
- Who This Course Is For
- Getting the Most Out of This Course
- How This Course Is Structured
- What You Need to Use This Course
- Conventions
02 Algorithm Basics 7 topics · 3 LiveLab +
- Approach
- Algorithms and Data Structures
- Pseudocode
- Algorithm Features
- Practical Considerations
- Summary
- Exercises
3 LiveLab in this lesson — see the labs panel →
03 Numerical Algorithms 10 topics · 6 LiveLab +
- Randomizing Data
- Finding Greatest Common Divisors
- Performing Exponentiation
- Working with Prime Numbers
- Performing Numerical Integration
- Finding Zeros
- Gaussian Elimination
- Least Squares Fits
- Summary
- Exercises
6 LiveLab in this lesson — see the labs panel →
04 Linked Lists 10 topics · 1 LiveLab +
- Basic Concepts
- Singly Linked Lists
- Doubly Linked Lists
- Sorted Linked Lists
- Self-Organizing Linked Lists
- Linked-List Algorithms
- Multithreaded Linked Lists
- Linked Lists with Loops
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
05 Arrays 8 topics · 5 LiveLab +
- Basic Concepts
- One-Dimensional Arrays
- Nonzero Lower Bounds
- Triangular Arrays
- Sparse Arrays
- Matrices
- Summary
- Exercises
5 LiveLab in this lesson — see the labs panel →
06 Stacks and Queues 5 topics · 5 LiveLab +
- Stacks
- Queues
- Binomial Heaps
- Summary
- Exercises
5 LiveLab in this lesson — see the labs panel →
07 Sorting 5 topics · 3 LiveLab +
- O(N2) Algorithms
- O(N log N) Algorithms
- Sub O(N log N) Algorithms
- Summary
- Exercises
3 LiveLab in this lesson — see the labs panel →
08 Searching 6 topics · 4 LiveLab +
- Linear Search
- Binary Search
- Interpolation Search
- Majority Voting
- Summary
- Exercises
4 LiveLab in this lesson — see the labs panel →
09 Hash Tables 5 topics · 1 LiveLab +
- Hash Table Fundamentals
- Chaining
- Open Addressing
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
10 Recursion 28 topics · 3 LiveLab +
- Basic Algorithms
- Factorial
- Fibonacci Numbers
- Rod-Cutting
- Tower of Hanoi
- Graphical Algorithms
- Koch Curves
- Hilbert Curve
- Sierpiński Curve
- Gaskets
- The Skyline Problem
- Backtracking Algorithms
- Eight Queens Problem
- Knight's Tour
- Selections and Permutations
- Selections with Loops
- Selections with Duplicates
- Selections Without Duplicates
- Permutations with Duplicates
- Permutations Without Duplicates
- Round-Robin Scheduling
- Recursion Removal
- Tail Recursion Removal
- Dynamic Programming
- Bottom-Up Programming
- General Recursion Removal
- Summary
- Exercises
3 LiveLab in this lesson — see the labs panel →
11 Trees 11 topics · 4 LiveLab +
- Tree Terminology
- Binary Tree Properties
- Tree Representations
- Tree Traversal
- Sorted Trees
- Lowest Common Ancestors
- Threaded Trees
- Specialized Tree Algorithms
- Interval Trees
- Summary
- Exercises
4 LiveLab in this lesson — see the labs panel →
12 Balanced Trees 6 topics · 1 LiveLab +
- AVL Trees
- 2-3 Trees
- B-Trees
- Balanced Tree Variations
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
13 Decision Trees 5 topics · 1 LiveLab +
- Searching Game Trees
- Searching General Decision Trees
- Swarm Intelligence
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
14 Basic Network Algorithms 9 topics · 1 LiveLab +
- Network Terminology
- Network Representations
- Traversals
- Strongly Connected Components
- Finding Paths
- Transitivity
- Shortest Path Modifications
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
15 More Network Algorithms 10 topics · 1 LiveLab +
- Topological Sorting
- Cycle Detection
- Map Coloring
- Maximal Flow
- Network Cloning
- Cliques
- Community Detection
- Eulerian Paths and Cycles
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
16 String Algorithms 7 topics · 2 LiveLab +
- Matching Parentheses
- Pattern Matching
- String Searching
- Calculating Edit Distance
- Phonetic Algorithms
- Summary
- Exercises
2 LiveLab in this lesson — see the labs panel →
17 Cryptography 8 topics · 1 LiveLab +
- Terminology
- Transposition Ciphers
- Substitution Ciphers
- Block Ciphers
- Public-Key Encryption and RSA
- Other Uses for Cryptography
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
18 Complexity Theory 15 topics +
- Notation
- Complexity Classes
- Reductions
- 3SAT
- Bipartite Matching
- NP-Hardness
- Detection, Reporting, and Optimization Problems
- Detection ≤p Reporting
- Reporting ≤p Optimization
- Reporting ≤p Detection
- Optimization ≤p Reporting
- Approximate Optimization
- NP-Complete Problems
- Summary
- Exercises
19 Distributed Algorithms 4 topics · 1 LiveLab +
- Types of Parallelism
- Distributed Algorithms
- Summary
- Exercises
1 LiveLab in this lesson — see the labs panel →
20 Interview Puzzles 4 topics +
- Asking Interview Puzzle Questions
- Answering Interview Puzzle Questions
- Summary
- Exercises
21 Appendix A: Summary of Algorithmic Concepts 19 topics +
- Lesson 1: Algorithm Basics
- Lesson 2: Numeric Algorithms
- Lesson 3: Linked Lists
- Lesson 4: Arrays
- Lesson 5: Stacks and Queues
- Lesson 6: Sorting
- Lesson 7: Searching
- Lesson 8: Hash Tables
- Lesson 9: Recursion
- Lesson 10: Trees
- Lesson 11: Balanced Trees
- Lesson 12: Decision Trees
- Lesson 13: Basic Network Algorithms
- Lesson 14: More Network Algorithms
- Lesson 15: String Algorithms
- Lesson 16: Cryptography
- Lesson 17: Complexity Theory
- Lesson 18: Distributed Algorithms
- Lesson 19: Interview Puzzles
Praktische Übungen Our edge
42 LiveLabs- Understanding Algorithm Complexity Through Graph Visualization
- Learning Common Run Time Functions
- Understating about Big O Notation
- Creating Pseudorandom Numbers
- Making Random Walks
- Calculating Greatest Common Divisors
- Testing of Primality
- Performing Numerical Integration
- Using Back Substitution
- Finding Cells
- Implementing Linear Search in an Unsorted Array
- Finding Median
- Finding Average
- Learning about Array Types
- Adding Matrices
- Reversing An Array
- Understanding Stacks
- Understanding Queues
- Merging Trees
- Understanding Binomial Trees
- Understanding the Heap Sort Algorithm
- Understanding Sorting Algorithm
- Summarizing the Algorithms
- Understanding the Linear Search Algorithm
- Understanding Binary Search
- Understanding Interpolation Search
- Tracing Fibonacci Computation Using Dynamic Programming
- Understanding Open Addressing
- Understanding the Factorial
- Learning about the Koch Curves
- Understanding Eight Queens Problem
- Evaluating Binary Tree Properties and Structure
- Understanding Tree Terminology
- Calculating Number of Nodes
- Learning About Tree Traversal
- Deleting Values
- Understanding Random Search
- Understanding Network Terminology
- Using the Brute Force Approach
- Understanding Pattern Matching
- Discussing about Network and String Algorithms
- Calculating the Euler's Totient Function
- Differentiating Cipher Techniques Based on Functionality
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03 / FAQS
Fragen, bevor Sie beginnen
What are the prerequisites for the Essential Algorithms using Python and C# course?+
It is an advanced level course that offers an all-inclusive study on Essential Algorithms. Knowledge of basic programming language and familiarity with elementary mathematical concepts like arithmetic and logarithms will help you understand better. If you don’t have considerable experience, you can always look up and study a bit to brush up your skills before starting the course.
Will I learn both Python and C# in this course?+
Yes, you’ll be learning both the programming languages.
Who is this Essential Algorithms course intended for?+
This course is designed for a broad spectrum of users who want to improve their problem-solving skills using algorithms. It is an ideal course for strengthening your programming skills and writing more efficient and optimized codes. All those wanting to gain a competitive-edge in technical round interviews can benefit greatly from this course.
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- Abschlusszertifikat
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