Beschrijving
Although algorithms may sound like a complex and daunting concept, they are simply a set of step-by-step instructions that can be understood and implemented by both humans and computers. They can range from simple to highly complex and can be used to solve problems in a wide range of fields, from finance to medicine to transportation. As technology continues to advance, algorithms will play an increasingly important role in our lives, and understanding how they work will become an essential skill for anyone who wants to work with computers.
Program
Program Title: Mastering Algorithms. . Duration: 8 Weeks. . Location: Paris, . . Intended Audience: Software engineers, data scientists, and IT professionals seeking to enhance their skills in algorithms and data structures.. . Course Overview:. The program is designed to provide a comprehensive understanding of algorithms and data structures, including both theory and practical applications. Topics covered include sorting algorithms, search algorithms, graph algorithms, dynamic programming, and more.. . Week 1: Introduction to Algorithms and Asymptotic Notation. - Definition of Algorithms. - Time and Space Complexity. - Big-O Notation. - Common Time Complexities (O(1), O(log n), O(n), O(n log n), O(n^2), O(2^n), O(n!)). . Week 2: Sorting Algorithms. - Bubble Sort. - Selection Sort. - Insertion Sort. - QuickSort. - MergeSort. - Radix Sort. . Week 3: Search Algorithms. - Linear Search. - Binary Search. - Depth-First Search (DFS). - Breadth-First Search (BFS). . Week 4: Dynamic Programming. - Definition and Examples. - Memoization. - Bottom-Up Approach. - Longest Common Subsequence (LCS). - Matrix Chain Multiplication. . Week 5: Greedy Algorithms. - Definition and Examples. - Activity Selection Problem. - Fractional Knapsack Problem. - Job Sequencing with Deadlines. . Week 6: Graph Algorithms. - Graph Representation. - Breadth-First Search (BFS). - Depth-First Search (DFS). - Topological Sort. - Shortest Path Algorithms (Dijkstra and Bellman-Ford). . Week 7: Advanced Topics. - Amortized Analysis. - AVL Trees. - Tries. - Maximum Flow. - Minimal Spanning Tree (Prim and Kruskal). . Week 8: Final Project and Review. - Participants will work on a final project that incorporates the concepts learned during the program.. - Final project presentations and review of the program.. . Instructors: The program will be taught by experienced algorithms experts with industry experience.. . The program will include both lectures and hands-on coding sessions, allowing participants to put their knowledge into practice and develop a deeper understanding of algorithms and data structures.. . Note: The program schedule is subject to change based on the number of participants and their skill level.
Prerequisites
No requirements
Who is this course for
For all
Duration
The duration of the course is flexible. Contact our educational managers for more information.
Course Format
Online,Hybrid,Blended
Evaluation procedures/Certification
This training is evaluated through a test scenario and multiple choice questions. To validate the course, it is necessary to validate all the skills. For information, there is no equivalence or bridge to validate this course. To download and take our quizzes for validation of acquired knowledge, please connect to the online storage platform with your login details.
Upcoming dates
December 2025
January 2026
February 2026
How to access the course
To pre-register for this course and receive all the necessary information, please click on the registration button above. A quizz is proposed to allow us to direct you to the right course and instructor.
When to access the course
After registration, you will receive all the details to start the course.
Administrative & Educational Contact
Nduka NZEKA - formations(at)ilaria-academy.com
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"I learned so much about algorithms and how they can be applied in real-world situationsThe program was very well organized and the instructors were knowledgeable."
"The hands-on approach to learning algorithms was amazingI was able to see how the algorithms worked in practice and understand their practical applications."
"I was impressed by the level of engagement and interaction in the courseThe instructors encouraged us to ask questions and provided insightful answers."
"I found the program to be very comprehensive and covered a wide range of topics in algorithmsI now have a deeper understanding of the subject."
"The real-world case studies and projects were the highlight of the program for meI was able to apply what I learned in a practical context and see the impact of algorithms."
"The program was very well-structured and the instructors provided clear explanationsI felt well-prepared for each session and was able to build on my knowledge every day."
"I was amazed by the diversity of backgrounds and perspectives among the participantsI learned a lot from my peers and was able to gain a global perspective on algorithms."
"The program provided a great balance between theory and practiceI was able to understand the concepts and apply them in a practical setting."
"I was impressed by the level of support provided by the instructorsThey were always available to answer questions and provided personalized feedback."
"I found the program to be very enjoyable and I would highly recommend it to others interested in learning about algorithmsI am grateful for the opportunity to participate in such a high-quality program."