Data Structures and Algorithm Analysis (CSC317)

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syllabus
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practicum


Fall 2020
Instructor: Odelia Schwartz (odelia at cs dot miami dot edu) Online office hours TBA.
Tues, Thurs 8am - 9:15AM; ONLINE
TA: Xu Pan (panxu001 at gmail dot com)
Xu will run problem-solving sessions online. Time TBA.
Other TAs: Alison Cohen; Aron Dylan Noah, Emily Silvershein. (CSC401 TA: Alexandros Khan)

This is a course on algorithmic thinking. You will learn how to think about problems from the point of view of machine procedures to solve the problem. You will be given techniques to break a problem down, to notice its combinatorial difficulties, to reason about correctness, and to measure the efficiency of a solution. You will learn how to recognize the inherent complexity of a problem - the best possible efficiency that a problem can be solved.

The course does not require programing. The course is more about thinking about code, than writing code. However, the Practicum does Javascript programming and dynamic HTML to create creative animations of the algorithms presented in the course. The Practicum is self-study, and highly recommended. In the practicum you will learn the basis of in-browser programming, and exercise your coding skills for algorithms.

General:
  • The required textbook is Introduction to Algorithms (3rd edition), Cormen, Leiserson, Rivest and Stein.
  • Extracurricular (optional) reading: Algorithms to live by. The Computer Science of Human Decisions. Brian Christian and Tom Griffiths.
  • TA lab hours: TBA. (online).
  • The course assigns weekly problem sets, posted and due on BlackBoard.
  • There are 5 quizzes and no final exam.
  • Grading is 60% homeworks, 40% quizzes.
 

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