|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Introduces students to a visual programming language. The course covers programming, graphic programming interface packages, and problem solving methods.
-
3.00 Credits
Concepts of software development and maintenance using C++, including syntax of the language, loops, functions, pointers, decision structures, and file processing. Proper program design using object- oriented programming techniques are emphasized.
-
4.00 Credits
Advanced work in written and oral communications. Emphasis upon: critical use of the argument, advanced technical writing, multi-media presentations, group decisions, advanced research methods and adapting messages to various audiences.
-
3.00 Credits
The course introduces the students to the properties and the interfaces of biological and physical systems with emphasis on energy concepts, production and distribution in both systems.
-
3.00 Credits
Critical thinking course that further examines the impact of science and technology on society. Themes have included disasters and globalization. Students present a lesson, analyze opposing arguments and make predictions.
-
4.00 Credits
The relationship between scientific process and crime solutions is explored. DNA technology, probability theory, fingerprints, blood spatter, questioned documents, crime scene investigation will be examined using laboratories and case studies.
-
4.00 Credits
Concepts of linear algebra, multi-variable calculus and differential equations with applications to: physical science, informational technology, business, economics, classical and modern optics and audio technology.
-
4.00 Credits
Introduces students with a background in algebraic and calculus functions into STELLA systems modeling. This tool helps resolve complex problems through a dynamic systems approach to problem solving.
-
3.00 Credits
Covers fundamental topics of information technology including the concepts of object-orientation, linear data structures, data representation, data manipulation algorithms and their applications, and project participations.
-
3.00 Credits
Covers algorithm-design methods, algorithm performance analysis, and optimization techniques. Covers algorithm applications used in solving frequently occurring problems, such as pattern matching, data compression, searching, and sorting.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|