What will you learn in this Algorithmic Toolbox Course
Master fundamental algorithmic techniques including sorting, searching, divide and conquer, greedy algorithms, and dynamic programming.
Design and implement efficient algorithms to solve complex computational problems.
Develop skills to tackle algorithmic challenges commonly encountered in technical interviews.
Enhance problem-solving abilities through hands-on programming assignments.
Program Overview
1. Programming Challenges
⏳ Duration: 5 hours
Introduction to algorithmic problem-solving with initial programming assignments to build foundational skills.
2. Algorithmic Warm-up
⏳ Duration: 5 hours
Focuses on basic algorithmic problems such as computing Fibonacci numbers, greatest common divisors, and least common multiples.
3. Greedy Algorithms
⏳ Duration: 5 hours
Explores greedy strategies for optimization problems, including coin change and scheduling tasks
4. Divide and Conquer
⏳ Duration: 5 hours
Covers techniques like binary search, quicksort, and algorithms for counting inversions.
5. Dynamic Programming 1
⏳ Duration: 5 hours
Introduces dynamic programming concepts applied to problems like edit distance and longest common subsequence.
6. Dynamic Programming 2
⏳ Duration: 5 hours
Delves into advanced dynamic programming topics, including knapsack problems and arithmetic expression evaluation
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Job Outlook
Equips learners for roles such as Software Engineer, Algorithm Developer, and Data Scientist.
Applicable in industries that require strong problem-solving and algorithmic skills, including technology, finance, and research.
Provides a solid foundation for technical interviews and competitive programming.
Enhances computational thinking essential for advanced studies in computer science.
Specification: Algorithmic Toolbox
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