Lecture 1

Learning objectives

After this class, you should be able to:

1. Describe the course policies, grading criteria, and your responsibilities.
2. Answer questions on pre-requisite material, in particular, on the material learned in COP 4530 -- Data Structures.

Reading assignment

1. Read the syllabus and study tips (available on Blackboard under the 'Course Library' tab).
2. CLR: Chapter 1.
3. Review asymptotic analysis from COP 4530 (big-Oh notation, in particular).

Exercises and review questions

• Questions on current lecture's material
  1. How many written assignments will you have in this course?
  2. How many programming assignments will you have in this course?
  3. Will you be graded on class participation in this course?
  4. What will your grade be if you obtain a total score of 80% and an exam average of 65%?

• Questions on next lecture's material
  1. (Post your solution on the discussion board) Give pseudocode for an algorothm that takes O(n3) time.