What Is Programming? And How To Get Started
January 28, 2025
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August 2024
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The study of algorithms is a significant part of the foundation for the discipline of computing. Over
the past several decades, research in algorithmic computer science has advanced at a rapid pace its contributions have had a profound impact on almost every area of science and industry. In this graduate-level course, we aim to provide a modern introduction to the study of algorithms that is both broad and deep. The primary goals of the course are: (1) to become proficient in the application of fundamental algorithm design techniques, as well as the main tools used in the analysis of algorithms, (2) to study and analyze different algorithms for many of the most common types of “standard” algorithmic problems, and (3) to improve one’s ability to implement algorithmic ideas in code.
This module covers how to analyze performance of algorithms, models of computation, basic data structures, algorithm design techniques, and common sorting algorithms. [Workload: 1 Week]
22 videos4 readings1 assignment
This module asks learners to apply the knowledge gained in Module 1 to a Programming Assignment with 3 parts. [Workload: 1 Week]
1 video1 reading1 programming assignment
This module covers methods for analyzing expected running time and average-case performance, randomized quicksort and quickselect, examples of randomized algorithms and data structures, and "high probability" bounds. [Workload: 1 Week]
18 videos1 reading1 assignment
This module covers techniques for analyzing recursive algorithms ("divide and conquer"), recursive thinking, and examples of recursion in algorithm design. [Workload: 1 Week]
14 videos1 reading1 assignment
This module asks learners to apply the knowledge gained in previous modules, particularly Module 4, to a Programming Assignment. [Workload: 1 Week]
1 video1 reading1 programming assignment
This module covers priority queues, binary search trees for representing sets, maps, and sequences, randomized and amortized tree balancing mechanisms, and sweep line methods. [Workload: 1 Week]
14 videos4 readings1 assignment
Founded in 1889, Clemson University is a leading public research institution located in upstate South Carolina. Its status as an R1 public research institution (with very high research activity), as classified by the Carnegie Foundation, underscores its dedication to high-level research alongside its teaching and service missions.
EIT Digital
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University of California, Santa Cruz
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Sungkyunkwan University
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University of Colorado System
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This course is part of the following degree program(s) offered by Clemson University. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
This course is part of the following degree program(s) offered by Clemson University. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
Clemson University
Degree · 24 months
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
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