Accelerated Computer Science Fundamentals Specialization by University of Illinois (Coursera)
Accelerated Computer Science Fundamentals Specialization ranks 5th in the list of best online Data Structures and Algorithms courses. The University of Illinois at Urbana-Coursera Champaign's Specialization teaches fundamental computer science algorithms and data structures. It is a three-course curriculum designed by computer science professor Wade Fagen-Ulmschneider to provide students with a performance pathway into computers and data science. The following subjects are covered in the three courses. C++ is the programming language used to implement the data structures and algorithms covered in these courses.
- Practical programming techniques, including object-oriented programming in C++ and its Standard Template Library, for production-level programming of efficient software applications.
- Basic data structures including arrays, linked lists, stacks and queues, trees, heaps, hash tables, and graphs, as well as efficient algorithms for constructing, searching, and optimizing these structures.
- Analysis of asymptotic running time and memory utilization of the algorithms used on these data structures.
The program is full of coding challenges that require students to write C++ code fragments in a web based interface. Each course also includes 2 projects where students implement C++ programs to perform tasks such as editing images, efficiently manipulating data structures, or solving a graph search problem.
Illinois University's Department of Computer Science is frequently regarded as one of the world's best computer science departments. This specialization assists potential Online Master of Computer Science (MCS) and MCS in Data Science applicants in preparing for the Online MCS Entrance Exam. Learners in this specialization learn the requisite skills in object-oriented programming, algorithms, and data structures to be prepared for advanced study in graduate-level CS curriculum at the University of Illinois, as well as to improve their admissions application.
Key Highlights
- Excellent for learning data structures and algorithms in C++
- Provides a solid foundation for students interested in advanced computer science study
- Learn to define object-oriented classes that encapsulate data structures and algorithms
- Analyze the running time and space needs of an algorithm, asymptotically to ensure it is appropriate at scale, including for big data
Duration : 3 months, 5 hours per week
Google Rating : 4.7/5.0
Enroll here: coursera.org/specializations/cs-fundamentals
