CAPP 120 Introduction to Computers (Old Course: CIS 110)
3 semester credits
Lecture: 2 Hours; Lab: 2 Hours
Fall and Spring Semesters
A literacy-based approach is used to survey the computer and the computer industry. Topics covered include: Microcomputer applications, input, processor, output, auxiliary storage, file and database management, communications, information system life cycle, program development and systems software, and trends, issues and career opportunities in the computer industry. An opportunity for hands-on work with standard software packages including word processors, electronic spreadsheets, database systems, and graphics packages is presented in lab sections.
Students involved with this subject will learn to perform the most common survey work required on a construction project, which is layout, topographical leveling, differential leveling, and transfer of elevations from one benchmark or location to another. Students will learn linear measuring with tapes, and with electronic distance meters. They will also develop the skills in using standard and automatic levels, in measuring distances and angles with the EDM, transit, and modern instruments. Fundamental computations will be emphasized.
The role of engineering economy in the decision making process. Cash flow and interest. Taxes and after-tax economy studies. Measure of worth and economic risk analysis.
Intended as a first course in highway engineering. It is inclusive of surveying topics pertinent to the design and layout of highways. The transportation engineering profession, geometry, pavement selection, highway soil mechanics and characteristics of the vehicle, driver, pedestrian, and the road will be discussed. A semester design project based on fieldwork will be completed as part of the laboratory section.
Prerequisite: CET 181 or consent of instructor Course Fee: $25.00
CSCI 110 Programming with Visual Basic I (Old Course: CIS 115)
3 semester credits
Lecture: 2 Hours; Lab: 2 Hours
Spring Semester
This course is an introduction to computer programming and problem solving techniques. Stresses modularity and structured techniques. Structured program design using design tools is heavily stressed. Programming structures including looping, sequence, and decision are thoroughly examined. Students will be exposed to the BASIC programming language with an overview of the language and specific implementation examples.
This class covers the application of selected behavioral and quantitative decision support tools, emphasizing problem identification, technique selection, and results or computerized solution interpretations. Topics include: decision models, resource allocation models, project management models, and forecasting models including software contracts, proposals, data warehousing and data mining.
Prerequisites: CAPP 120 or higher competencies, M 145 or M 121.
This is a systems oriented course designed to introduce students to the concepts, techniques, and applications of PC-based computer aided drafting. It is the intent of the course to provide students with competencies that will allow them to use the system to create drawing files and down load files for hard copies. Command structure, coordinate systems, text dimensions, and plotting will be covered.
Fundamentals of mapping and geographic information systems (GIS). Includes applications of mapping projections, presentation of surveying information, and GIS methods. Mapping and GIS computer applications will be used and developed throughout the course.
This course is a survey course designed to familiarize students with the educational requirements, talents, and responsibilities for careers related to industrial and engineering technology. The content of this course should provide the framework for materials to be presented in future math, science, industrial, and engineering technology courses.
STAT 217 Intermediate Statistical Concepts (Old Course: MATH 140)
4 semester credits
Introduction to probability and probability distributions including fundamental principles of descriptive statistics, statistical inference, correlation, regression analysis, and analysis of variance.
Prerequisite: M 121 Montana University System Core Course