Programming Abstractions


Stanford School of Engineering



Gain valuable exposure to advanced computer programming and abstraction techniques. Become knowledgeable about the many implementation methods used to build complicated, dynamic data structures. Harness powerful tools for understanding how the representation and efficiency of data can influence how effectively we can store it.


  • Ashley Taylor


Programming Methodology (Stanford Course: CS106A) or equivalent

Students coming to CS106B are expected to have substantial prior experience with programming constructs such as loops, functions/methods, arrays, console and file I/O, standard data types (integer, string, and floating point), and classes. In other words, students coming to CS106B are expected to know how to write code.

Topics include

  • Principles of data abstraction and modularity
  • Object-oriented programming, fundamental data structures and data-directed design
  • Recursion and recursive data structures (linked lists, trees, graphs)
  • Programming language C++ basics
  • Introduction to time and space complexity analysis

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

048 Autumn 2018-19 Online

Enroll Now

Dates:September 24 - December 7, 2018
Days: Mon, Wed, Fri
Times:9:30 am - 10:20 am
Units: 3.00-5.00
Delivery Option:
For Credit $6,300.00 ?


Enrollment Dates: August 1 to September 10, 2018

Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.