The Oxnard College Regional Fire Academy (OCRFA) provides the skills and knowledge needed for the entry level firefighter, career or volunteer, to perform duties safely, effectively, and competently. The seven overarching themes of the California State Fire Fighter I/II curriculum are: General knowledge germane to the profession, fire department communications, fire-ground operations, rescue operations, preparedness and maintenance, wild land suppression activities, and hazardous materials and weapons of mass destruction (WMD). Approved by the California State Board of Fire Services and California State Fire Marshal's Office. This academy fulfills all educational and training requirements for Fire Fighter I/II. All exams require an 80% passing grade for all academic and manipulative tests per State Fire Marshal requirements. Students are expected to obtain all required uniforms and safety equipment. State certification costs are the responsibility of the student. Please note that this is a physically demanding course. Field trips will be required. Prerequisites: EMT R169, FT R151, FT R154. Corequisites: FT R173. Recommended Prep: FT R161. Transfer credit: CSU. Notes: The Oxnard College Regional Fire Academy, OCRFA, is an Accredited Regional Training Program, ARTP, as identified by California State Fire Training; The Academy was officially re-accredited in January 2020, with the Firefighter 2013 curriculum serving as the primary source of instructional material; The Fire Academy offers 20 units and beginning Fall 2020 will meet for 490 hours over 67 instructional periods, 0700-1700; FT R170 units are degree applicable; Strenuous physical fitness is a daily activity; To apply to the Fire Academy please visit the Oxnard College Fire Academy webpage. Formerly: FT R070.

In this course, students receive instruction in academic reading and writing, including writing processes, effective use of language, analytical thinking, and the foundations of academic research. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of C or “P” or better. Field trips may be required. Prerequisites: Placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as ENGL R101.

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.