Introduction to Data Structures

Prerequisites: This is the 3rd course in the intermediate, undergraduate-level offering that makes up the larger Programming and Data Structures MicroBachelors program. We recommend taking them in order, unless you have a background in these areas already and feel comfortable skipping ahead.Introduction to Programming in C++Advanced Programming in C++Introduction to Data StructuresAdvanced Data StructuresThese topics build upon the learnings that are taught in the introductory-level Computer Science Fundamentals MicroBachelors program, offered by the same instructor. Learn the advanced programming topics in the C++ programming language, including pointers, dynamic storage, recursion, searching, and sorting. 11 Weeks 5-7 Hours per week recommended
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About This Course:

This is the 3rd course in the intermediate, undergraduate-level offering that makes up the larger Programming and Data Structures MicroBachelors program. We recommend taking them in order, unless you have a background in these areas already and feel comfortable skipping ahead.

  1. Introduction to Programming in C++
  2. Advanced Programming in C++
  3. Introduction to Data Structures
  4. Advanced Data Structures

These topics build upon the learnings that are taught in the introductory-level Computer Science Fundamentals MicroBachelors program, offered by the same instructor.

This is a self-paced course that continues in the development of C++ programming skills. Among the topics covered is the development of more advanced command-line programs that utilize Pointers, Dynamic Storage, Recursion, Searching, Sorting to solve problems. Students learn how to use and program these data structures through the lectures and the labs. C++ programming material is presented over eight weeks of interactive lectures with quizzes to assess your understanding of the material Students will experience hands-on practice writing C++ programs through fourteen lab challenges.

Students will not only learn to use data structures to organize, manage, and storage in formats that enable efficient access and modification. A data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

What You’ll Learn:

  1. Demonstrate a basic understanding of object-oriented programming by using structures and classes in software projects.
  2. Use object-oriented programming techniques to develop executable programs that include elements such as inheritance and polymorphism.
  3. Apply basic searching and sorting algorithms in software design.
  4. Apply single-and multi-dimensional arrays in software.
  5. Demonstrate a basic understanding of programming methodologies, including object oriented, structured, and procedural programming.
  6. Design and develop programs that recursion to solve problems that can be expressed with recurrence.

Meet Your Instructor:

Aspen Olmsted

Adjunct Professor at New York University Tandon School of Engineering Aspen Olmsted is an adjunct faculty member in the New York University Tandon School of Engineering in the Computer Science and Engineering department. Aspen's fulltime job is as an assistant professor and Graduate program director at the College of Charleston. He obtained a Ph.D. in Computer Science and Engineering from The University of South Carolina. Before his academic career, he was CEO of Alliance Software Corporation. Alliance Software developed N-Tier enterprise applications for the performing arts and humanities market. Dr Olmsted’s research focus is on the development of algorithms and architectures for distributed enterprise solutions that can guarantee security and correctness while maintaining high-availability. In his Secure Data Engineering Lab, Aspen mentors over a dozen graduate and undergraduate students each year
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Duration

11 Weeks

Experience Level

Intermediate

Learning Partner

New York University (NYUx)

Pacing

Self-paced

Program Type

MicroBachelors®

Subject

Computer Science