|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
No course description available.
-
4.00 Credits
Spring. An introduction to tools of computer science that are relevant to bioinformatics, with a focus on fundamental problems with sequence data. Practical topics will include Perl programming, data management, and web services. Computational concepts are emphasized with only a sketch of the underlying biology.
-
4.00 Credits
Fall. An introduction to tools and concepts of computer science that are most relevant to business (enterprise) computing and e-commerce. Students will be introduced to basic programming principles, page layout and visual interface design, client/server computing, simple techniques for accessing databases, and their algorithmic and mathematical foundations.
-
4.00 Credits
Fall, spring. An introduction to computer science for the student who expects to make serious use of the computer in course work or research. Topics include: fundamental computing concepts, general programming principles, the Unix Operating System, the X-window system, and the Java programming language. Emphasis will be on algorithm development with examples highlighting topics in data structures.
-
4.00 Credits
Fall, spring. Prerequisite: CS 170. A continuation of CS170. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object oriented design and programming with Java. The course will also introduce the basics of procedural programming with C.
-
4.00 Credits
Topics will be announced each year.
-
4.00 Credits
Fall. Prerequisite: Mathematics 112. Corequisite: Computer Science 170. This course introduces elementary mathematics necessary for the computer science curriculum. Topics include proof-writing, sets, functions, logic, quantifiers, graphs, automata, languages, and asymptotic notation.
-
4.00 Credits
Fall. Prerequisite: Computer Science 171. Binary and hexadecimal number systems, logic gates, combinational and sequential circuits, ALU and control unit organization, instruction formats, addressing modes, and assembly language programming.
-
4.00 Credits
Spring. Prerequisites: Computer Science 171 and 224. Analysis, design, and implementation of data structures and algorithms. Algorithms include divide and-conquer, dynamic programming, greedy methods, tree and graph traversal, with analysis emphasizing lower bounds, worst-case, and expected time complexity.
-
4.00 Credits
Alternate years. Prerequisites: Computer Science 171. Foundations and problems of machine intelligence, application areas, representation of knowledge, control paradigms, the LISP programming language, expert systems, design of an intelligent system.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|