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Data Structures and Algorithms- Period 1 Course Overview
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Mathematics
Instruction in: English
Course Code: E_EDS2_DSA
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Basics of Programming;
Familiarity with core concepts in Objected-Oriented Programming (OOP);
Probability Theory; and
Statistics.
DESCRIPTION
In this course, you will learn about the most important algorithm design paradigms (divide-and-conquer, randomisation, dynamic programming, greedy approaches, and parallelisation) as well as the mathematical tools that are needed (1) to prove an algorithm is correct and (2) to analyse its asymptotic complexity.
In addition, we will cover essential data structures (stacks, queues, linked lists, hash tables, binary search trees, and red-black trees) and discuss algorithms that solve common computational problems in econometrics and machine learning. Finally, you will get hands-on experience with implementing algorithms and data structures using Python.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
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