Design and Analysis of Algorithms (CSC 380)

Fall 2019

Dr. Gur Saran Adhar

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STUDENT LEARNING OUTCOMES

The Student Learning Outcomes (SLOs) for CSC 380 are:

1        Learn, and demonstrate their knowledge of, algorithm design paradigms and the language of algorithm analysis;

2        Choose data representations and identify, design, and implement multiple algorithms, based upon design paradigms (such as, divide-and-conquer, greedy algorithms, graph algorithms, randomized algorithms or dynamic programming);

3        Analyze the algorithmic complexity of algorithms and employ mathematical, analytical, and asymptotic notation to describe their relative merits; and

4        Develop an understanding of NP-completeness.

Attendance Policy
You are responsible for regular attendance. If you have missed a class, you should obtain information about the material that you have missed from a fellow student in the class. Makeup exam or quizzes will not be given under normal circumstances.

Incomplete Grade
An incomplete grade is awarded only if a student is passing the course except for the final exam.

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