Algorithms
Imagine having to wait hours to buy a product online due to slow load speeds. That's the world without efficient algorithms. Algorithms are crucial for many everyday applications, such as enabling GPS systems to find the best routes and online stores to load quickly. In this course, you'll uncover the magic behind algorithms, learning divide-and-conquer, dynamic programming, and greedy algorithms. By the end, you'll build scalable applications that won't break.
Course Topics
Algorithm Design Techniques
Learn various algorithm design strategies, such as recursion, divide-and-conquer, dynamic programming, and greedy algorithms. Understand how to apply these techniques to develop efficient solutions to complex problems.
Complexity Analysis
Analyze the time and space complexity of algorithms using Big O, Big Theta, and Big Omega notations. Develop skills to evaluate and optimize algorithm efficiency.
Algorithm Implementation
Gain hands-on experience in implementing algorithms in Python. This topic covers practical coding skills and optimization techniques to ensure efficient algorithm performance.
Algorithm Performance Evaluation
Critically evaluate the performance of different algorithms in various contexts. Learn to identify the most suitable algorithm for specific problems by considering factors such as efficiency and resource usage.
Comparative Analysis of Algorithms
Compare and contrast various algorithmic approaches, including sorting, searching, and graph algorithms. Understand the strengths and weaknesses of each approach to make informed decisions in algorithm selection.
Theoretical Limits of Algorithms
Explore the theoretical limits of algorithms, including topics such as NP-completeness, undecidability, and intractability. Understand the boundaries of computational problem-solving and the implications of these limits on algorithm design and application.
Algorithm Application
Apply appropriate data structures and algorithms to real-world scenarios. Learn to choose the optimal solution based on problem constraints and requirements, demonstrating practical application of theoretical knowledge.
Technical Communication Skills
Develop the ability to effectively communicate the design, implementation, and analysis of algorithms. Learn to present complex algorithmic concepts clearly and concisely to both technical and non-technical audiences through written reports and oral presentations.
300
Disclosure
This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.
