CSCI 271: Discrete Mathematics

Prof. David Wilczynski

General Information

Course Overview

Prerequisites. It is expected that you already know how to do "object-based" programming using C++ and Java.

Discrete Mathematics covers some formal topics that are essential to Computer Science. In particular the class will focus on:

Chapter 1:  Logic and Proofs,

Chapter 2:  Basic Structures: Sets, Functions, Sequences, and Sums
Chapter 4:  Induction and Recursion
Chapter 5:  Counting: Basics and Pigeonhole

Chapter 8:  Relations
Chapter 9:  Graphs
Chapter 10:  Trees
Chapter 12: Modeling Computation

Other topics may be covered.

Textbook

Discrete Mathematics and Its Applications, 6th Edition, by Kenneth Rosen
McGraw Hill,  ISBN-13  978-0-07-288008-3   ISBN-10  0-07-288008-2

 All reading assignments are given at Lectures. The date shown there is the date a reading should be done by. 

Assignments

Programming assignments are graded on thorough testing, documentation, and style, as well as correctness. All work to be submitted for the class is to be done individually unless an assignment specifies otherwise.

Grades

Assignments and Programming: 30%

2 midterms: 40% (20% each)

1 final: 30%

 

A = 92%      A- = 90%

B+ = 88%    B = 82%      B- = 80%

C+ = 78%   C = 72%      C- = 70%

Exams will be scaled to match these ranges.

Extra credit may be available on assignments for use in deciding borderline cases.

Course Outcomes

Below are the course outcomes we expect you to have at the end of the course.

i.  An understanding of propositional and first order logic and how to model problems in them.

ii.  An understanding of mathematical discrete structures such as sets, functions and relations.

iii.  An understanding of the principles of induction and recursion and how they can be used to solve problems.

iv.  An understanding of countability and the ability to solve counting problems, using as sequences and summations, pigeonhole, Pascal's triangle, etc.

v.  An understanding of discrete structures such as  graphs and trees and use them for searching or other problems

vi.  An understanding of formal computational models such as finite automata, grammars, etc.

ABET Program Outcomes

These are the outcomes you are expected to have when you have finished your degree:

 

a)      An ability to apply knowledge of computing and mathematics appropriate to the discipline;

b)      An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution;

c)      An ability to design, implement and evaluate a computer-based system, process, component, or program to meet desired needs;

d)      An ability to function effectively on teams to accomplish a common goal;

e)  An understanding of professional, ethical, legal, security, and social issues and responsibilities;

f)        An ability to communicate effectively with a range of audiences;

g)  An ability to analyze the local and global impact of computing on individuals, organizations and society;

h)      Recognition of the need for, and an ability to engage in, continuing professional development;

i)        An ability to use current techniques, skills, and tools necessary for computing practices.

j)        An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices;

k)      An ability to apply design and development principles in the construction of software systems of varying complexity.

 

These outcomes are also posted at on the CSCI website. http://www.cs.usc.edu/current/undergrad/ProgramOutcomes.pdf

 


 

Last modified November 23, 2009 by David Wilczynski

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