CIS 5 Intro to Computer Science and Programming I (3)The
course focuses on computer science foundations, problem solving, basic
data types, basic algorithms, and programming methodology, including
object-oriented programming. This class does not assume any prior
programming experience. The goal of the course is to teach the student
to program a computer (write code), to read code written by others,
and to take a problem description and translate it into a computational
problem (think algorithmically).
CIS 10 Intro to Computer Science and Programming II (3) Continued
focus on computer science foundations and architecture, problem
solving, abstract data types, algorithms, programming methodologies,
including object-oriented programming, and web technologies. The goal
of this course is to apply computer science principles to relevant
problem sets. Prerequisite CIS 5.
CIS 15A Introduction to Data Structures and Algorithms (3) Fundamentals
of data structures and algorithms, including lists, queues, trees,
graphs, hash tables, sorting, searching, and hashing.
CIS 15B Algorithm Design and Analysis (3) Designing,
writing and analyzing algorithms using various data structures.
Asymptotic analysis of performance and analysis of space
characteristics. Including algorithm design techniques. Prerequisite CIS
CIS 50A Software Engineering 1 (3) Overview
of software development methodologies as well as software development
phases and activities. Description of techniques to improve software
quality including: analyzing requirements, effective designs, unit test,
static analysis and code inspections. Overview of development planning,
risk analysis techniques, and effective use of metrics for reporting.
CIS 50B Software Engineering 2 (3) Focuses
on the process of designing, developing, and maintaining real world
software applications. Students will work in teams on developing a
complex software system over the course of the semester.
CIS 65 Applied Databases (3) Examination
of file organizations and file access methods. Studies various data
models including relational, hierarchical, network, and object-oriented.
Emphasis given to the relational data model. SQL, the data definition
and manipulation language for relational databases, is described.
CIS 70 Web engineering (3) Organization
of and access to information on the Internet. Design, creation and
publication of interactive web pages with HTML, multimedia, animated
including security and privacy on the World Wide Web.
CIS 75 Data Mining and Predictive Modeling (3) Techniques
for discovering hidden patterns in data generated by businesses,
science, web, and other sources. Focus is on the key tasks of data
mining, including data preparation, classification, clustering,
association rule mining, and evaluation.
MTH 5A Calculus 1 (4) Limits;
continuity; derivatives of algebraic and transcendental functions with
applications; antiderivatives; an introduction to the definite integral;
the Fundamental Theorem of Calculus. Prerequisite: Three to four years
of high school mathematics including trigonometry.
MTH 5B Calculus 2 (4) Techniques
of integration (including substitution and parts); numerical methods
of integration; applications of the integral (including areas, and
volumes); improper integrals; differential equations an introduction to
parametric equations and polar coordinates. Prerequisite: Grade of C -
or better in MTH 5A.
MTH 5C Calculus 3 (4) Partial
derivatives; multiple integrals; three-dimensional space; vectors in
two- and three-dimensional space; vector calculus. Prerequisite: Grade
of C or higher in MTH 5B or consent of instructor.
MTH 38 Elements of Probability and Statistics (3) Elementary probability theory, properties of distributions, sampling, estimation, hypothesis testing, correlation
MTH 135 Structure & Comparison of Programming Languages (3) Basic
concepts of syntax and semantics. Comparison of syntax and semantics of
selected programming languages, language design. How to evaluate a
computer programming language. Prerequisites: MTH 5A, CIS 10, or consent
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