|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
An introduction to the fundamental principles of oceanography for nonscience majors, and the application of those concepts to areas of interest and concern in our contemporary technological society. The marine environment is investigated in terms of basic scientifi c concepts, and topics discussed include plate tectonics and earthquake prediction, the impact of ocean pollutants, climate fl uctuations, cetacean intelligence and resources from the sea. Distance learning offering. (High school algebra) Credit 4
-
4.00 Credits
An introduction to the fundamentals of astronomy for non-science majors. After learning to locate and identify visible objects in the night sky, students are introduced to the scientifi c instruments and techniques used to investigate celestial phenomena. Subsequent discussions show how observational data reveals the physical nature and evolution of planets, stars, and galaxies. Requires profi ciency in algebra and a familiarity with simple trigonometric relationships. This is a distance-learning offering. Credit 4
-
4.00 Credits
Basic concepts and overview of computer science. The topics include historical development, algorithms, fl owcharting and programming in BASIC. Exposure to hardware concepts, software concepts, binary and hex numbers and logic. Application of the computer to various disciplines. Not for Computer Science majors. This is a distance-learning offering. (High school intermediate algebra) Credit 4
-
2.00 Credits
In this course, students will learn the history of the development of siege weapons throughout the ages, from early Sumeria to the mid-1900s. Students will then use this historical knowledge to construct prototypes and design their own siege weapons. Credit 2
-
4.00 Credits
An introduction to the basic tools of statistical analysis used in business, including charts, frequency distribution, averages, dispersion, probability theory, sampling. Logical procedures for making business decisions under conditions of uncertainty are emphasized. Hypothesis testing including one, two and k-sample test means, proportions, regression and correlation analysis are also included. (0692-212) Credit 4
-
4.00 Credits
An introduction to the basic tools of statistical analysis used in business, including charts, frequency distribution, averages, dispersion, probability theory, sampling. Logical procedures for making business decisions under conditions of uncertainty are emphasized. Hypothesis testing including one, two and k-sample test means, proportions, regression and correlation analysis are also included. (0692-212) Credit 4
-
3.00 Credits
This course number should be used by students who plan to study a math topic on an independent study basis. The student must obtain permission of the appropriate faculty member before registering for the course.
-
4.00 Credits
This course will introduce students to the world of Geographic Information Systems (GIS). Course readings, lectures and labs cover a mix of practical and technical GIS topic including: fundamental GIS concepts, ArcGIS software competency, spatial data, spatial data analysis fundamentals, and cartography. This course is co-listed with 0693-701. Students who have taken this 0693-401 may not subsequently register for 0693-701 for graduate level credit. Credit 4
-
3.00 Credits
This course will introduce the theoretical and practical aspects of Geospatial Science and Technology. The lecture portion of the course will present a survey of Geospatial Science and will provide theoretical basis for Geographic Information Systems applications. A laboratory section will develop advanced geoprocessing skills. This course is co-listed with 0693-702. Students who have taken 0693-402 may not register for 0693-702 for graduate level credit. (Introduction to GIS, 0693-401) Credit 4
-
3.00 Credits
This course is an introduction to the theory and techniques used for spatial analysis of complex, geographically-referenced data. This course will incorporate advanced statistical and GIS data analysis techniques for a variety of problem types that span a broad spectrum of disciplines. In-class and out-ofclass assignments will develop spatial data analysis skills. This course is colisted with 0693 703. Students who have taken 0693-403 may not register for 0693-703 for graduate level credit. (Geospatial Science, 0693-402) Credit 4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|