A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

Topics include algorithm design and program development; data types; control structures; functions and parameter passing; recursion; data structures; searching and sorting; and an introduction to the ...

Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

COMP_SCI 110: Intro to Computer Programming VIEW ALL COURSE TIMES AND SESSIONS Description Introduction to programming practice using Python. Analysis and formulation of problems for computer solution ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

Instructors of a new self-paced version of Introduction to Computer Programming found that three weeks before the end of classes, about half of the students enrolled were halfway through the course ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Making the real-world connection, the guide then walks programmers through implementing the algorithms on IBM's publicly available 5-qubit IBMQX4 quantum computer and others.

To teach various fundamental algorithms and methodologies used in VLSI CAD. To introduce technology and challenges facing the industry today and in the next ten years. PREREQUISITES: COMP_SCI 214 ...