Southern Illinois University Carbondale College of Applied Sciences and Arts Off-Campus Academic Programs Fire Service Management FSM 383 Data Interpretation Credit Hours: 3 Hours/Week Lecture 8 Hours/week Lab 0 Course Syllabus Instructor: Dr. Anthony Rogers 8506 Chivalry San Antonio, TX 78254 210-392-7370 E-mail: arogers7@sbcglobal.net I. FSM Mission Statement: Fire Science Management is a broad based fire management educational program designed to augment and develop managerial skills necessary for a career in the fire service or continued advancement within the field II. Course description: A course designed for students beginning their major program of study to examine data use in their respective professions. Emphasis will be placed upon an understanding of the basic principles and techniques involved with analysis, synthesis and utilization of data. III. Prerequisite: Fire Science major or consent of department IV. Text, Reference, Material and supplies: The Basic Practice of Statistics, 5 th Edition, Moore ISBN, 1429224258 ISBN-13: 9781429224253 References: American Psychological Association. (2002). Publication Manual of the American Psychological Association (5 th ed.), (or newer edition as required by SIU). Washington, DC: Author. Aaron, J. (1998). The little, Brown Compact Handbook (3 rd ed.), (or newer edition as required by SIU). New York: Addison-Wesley.
V. Course Objectives: Outcome #1: 10% Cognitive Objective: The student will be able to identify and describe sources of data. Outcome #2: 20% Cognitive Objective: The student will be able to discuss specific uses of data. Outcome #3: 20% Cognitive Objective: The student will be able to interpret different presentations of data. Outcome #4: 20% Cognitive Objective: The student will be able to understand and apply basic statistical treatments to data. Outcome #5: 20% Cognitive Objective: The student will be able to identify and discuss study designs. Outcome #6: 10% Cognitive Objective: The student will be able to understand and apply data in making management related decisions. VI. Instructional Method: Lecture reinforced by in-class and on-line discussions. Due to the significant amount of time devoted to classroom practical work, it is very important that each student prepare for the next class by reading all required text assignments and supplementary materials. Exams and quizzes will be formulated from the text reading assignments and classroom lectures. VII. Grading scale: A= 91-100% B= 81-90% C= 71-80% D= 61-70% F=below 61% Course requirements: Assigned chapters are to be read prior to coming to class. Grades will be calculated on the following criteria: Week 2 on-line assignment 10% 100 Mid-term test 15% 150 Week 4 on-line assignment 10% 100 Weeks 6&7 10% 100 Final exam 25% 250 Written report 10% 100 Oral presentation 10% 100
Class participation 10% 100 Taking an incomplete for the class Incompletes (INC): An INC is assigned when, for reasons beyond their control, students engaged in passing work are unable to complete all class assignments. Students are required to apply in writing to the faculty member for an INC within two weeks of the last class day of the course. Students are also required to contact the instructor by phone, e-mail or fax to inform the instructor that they (the student) will miss the last class weekend and will be requesting an INC. This contact will not replace the written request. Students who fail to inform the instructor and fail to request the incomplete in writing will receive the grade earned for the course or a WF whichever is most appropriate. VIII. Exit Competencies: Upon completion of this course the student will be able to identify and discuss study designs, identify and describe sources of data, understand and be able to apply data in making management related decisions, and apply basic statistical treatments to data. Additionally, the student will be able to interpret different presentations of data and be able to present data in a 6-10 page written report and a 5 minute oral presentation. IX. Evaluations: There will be 2 on-line assignments, 1 mid-term, 1 final exam, and a written report with oral presentation due the final day. X. Class Attendance Policy: The faculty of Southern Illinois University Carbondale affirms the importance of prompt and regular attendance on the part of all undergraduate students. Quality instruction clearly depends upon active student participation in the classroom environment. The current Southern Illinois University Carbondale Undergraduate Catalog further expounds upon attendance and attendance guidelines. Each teaching day at off-campus locations is scheduled to include eight fiftyminute instructional periods from 8:00AM to 4:50PM. Each day s schedule also includes times for short breaks and a lunch period. Student attendance at all scheduled class hours is mandatory. Please ensure that you complete assignments and read chapters assigned before the beginning of the class. XI. Academic Dishonesty Policy: Students may be subject to disciplinary proceedings resulting in an academic or disciplinary penalty for academic dishonesty. Academic dishonesty includes, but is not
limited to cheating on tests, quizzes and reports, plagiarism copying or borrowing other individuals work without citation, and collusion on projects, papers or assignments. XII. ADA Statement for Students Requiring Special Accommodations: As per 504 of the Vocational Rehabilitation Act of 1973 and the American Disabilities Act (ADA) of 1990, if accommodations are needed, inform the instructor as soon as possible. XIII. Safety Instructions: Instructors will provide guidance and direction to students in the classroom in the event of an emergency affecting your location. It is important that you follow these instructions and stay with your instructor during an evacuation or sheltering emergency. If you are located on a military installation, and depending on the type emergency a senior military member may take control of the situation and direct you on the action to take. Please follow their instructions and do as asked. Similarly, if you are at a community college, their security personal may arrive and take control of a situation, please follow their instructions as well. Topics to be covered: National data sources Local Data Sources Data Uses Census data Feasibility studies Program planning National surveys Status profiles Program evaluation Legislation Data presentations Statistical treatments Designs Histograms Mean Surveys Pie and linear graphs Median Prospective studies Maps Mode Retrospective studies Standard deviation cohort studies Rates Experimental studies Ratios Data use in decision making. Cost function Personnel utility Control charts Forecasting
Reading Assignments: Reading assignments: Student should have material read prior to arrival at class. Week 1. Read chapters 1-3 Lecture Project selection Week 2. Read chapters 4-6 On-line On-line assignment/quiz Week 3. Read chapters 7-10 On-line Statistical Analysis Week 4. Read chapters 11-12 Lecture On-line assignment/quiz Week 5. Read chapters 13-14 On-line Mid-term exam Week 6. Read chapters 15-16 On-line On-line assignment/quiz Week 7. Read chapters 17-18 Lecture On-line assignment/quiz Week 8. Review On-line Final exam, written report due, Oral presentations Class Schedule: 8am-5pm Week One- January 9-10 Week Two- January 16-17 Week Three- January 23-24 Week Four- January 30-31 Week Five- February 6-7 Week Six- February 13-14 Week Seven- February 20-21 Week Eight February 27-28