Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - SPA5153
Tracking Number - 2180
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Current Status:
Approved, Permanent Archive - 2010-04-06
Campus: Tampa
Submission Type: Change
Course Change Information (for course changes only): Change credit hours from 2 to 3
Change section type from class lecture to laboratory
Comments: Recd in GS 10/14; to GC for review 11/2/09; Approved by GC 11/16/09; to SCNS liaison 11/29/09; SCNS approved 12/9/09, effective 1/2010; posted in banner 12/11/09
Detail Information
- Date & Time Submitted: 2009-09-28
- Department: Communication Sciences and Disorders
- College: BC
- Budget Account Number: 1219000 00
- Contact Person: Jean Krause
- Phone: 9749798
- Email: jkrause@bcs.usf.edu
- Prefix: SPA
- Number: 5153
- Full Title: Quantitative Problem Solving in Speech Pathology & Audiology
- Credit Hours: 2
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: Y
- Are the credit hours variable?: N
- Is this course repeatable?:
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Quantitative Problem Solving
- Course Online?: C -
Face-to-face (0% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: None
- Corequisites: None
- Course Description: Covers fundamental mathematical and statistical concepts underlying the field of Communication Sciences and Disorders and application of these concepts to practical and clinical problems. Not restricted to majors or repeatable for credit.
- Please briefly explain why it is necessary and/or desirable to add this course:
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? We added an introductory stats component. Since then, two hours per week is not sufficient to cover the material. Thus we have been teaching the class as a 3 credit course under a generic SPA5506 course number. The course contains both lecture and lab. The change is requested to reflect its current status
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) The instructor must have a PhD in a hearing related field.
- Objectives: "Students will be able to:
• manipulate the mathematics of variables, equations, graphs, sinusoidal functions, logarithms and exponents as needed for applications in hearing science and acoustics
• describe the nature of complex sounds and Fourier analysis and synthesis
• demonstrate a basic understanding of digital signal processing and the concepts important for digital to analog and analog to digital conversion of complex sounds
• explain resonance, impedance, and filtering in relation to the auditory system and acoustics
• demonstrate skills for critical evaluation of statistical methods common to CSD
"
- Learning Outcomes: This course is designed to provide a knowledge and skills acquisition (KASA) experience for students who are preparing to apply for the Certificate of Clinical Competence (CCC) in Audiology from the American Speech-Language-Hearing Association (ASHA).
- Major Topics: "Mathematical tools, Using Microsoft Excel, Sine waves, Sound transmission, Measurement scales and decibels, Digital sampling, Fourier transforms/Frequency scales, Fourier analysis/Introducation to systems, Resonance/Impedance/Filtering
Intro to statistics
Transfer functions"
- Textbooks: Eddins, D., Kewley-Port, D., and Kehle, P. (2003) Mathematics and Physics for Speech and Hearing: A Problem-Based Approach, 1st edition, Thompson Learning.
- Course Readings, Online Resources, and Other Purchases: none
- Student Expectations/Requirements and Grading Policy: "Expectations and recommendations:
Students are expected to:
•Complete readings BEFORE the corresponding topics are discussed in class
•Log in to the course website on Blackboard (my.usf.edu) at least once a week in order to
o check for announcements
o download copies of lectures for taking notes in class, if desired
o keep up with the on-line discussion board
o download any handouts, etc. that were missed or misplaced
• Obtain all assignments (announced in class and on Blackboard)
Think deeply when studying readings, notes, exercises, etc. Understanding (not just memorizing) will be required on exams!
Grading:
Grades will be based on the guidelines below. Your average on the in-class lab assignments will count as one homework grade (i.e. Hmwk 9), and the total homework grade for the semester will be based on the average of your best seven homeworks (i.e. 9 homeworks will be graded – you have one drop). Throughout the semester, grades will not be curved. If a curve is needed in the course, it will be implemented at the end of the semester by lowering the tentative cutoffs for grades listed below. Otherwise, the tentative cutoffs will stand.
Weightings Tentative cutoffs for course grades
Homeworks (best 8 of 9) 20% A+ 97 C+ 77
Graph critique 15% A 93 C 73
Stat. analysis critique 15% A- 90 C- 70
Exam1 15% B+ 87 D+ 67
Exam2 15% B 83 D 63
Final Exam 20% B- 80 D- 60
"
- Assignments, Exams and Tests: Week 1 Scientific Writing None
Mathematical tools Hmwk 1 *
Week 2 Intro to Excel Sec. 1.2 Hmwk 2 *
Week 3 Excel (cont) (none) Hmwk 3 *
Week 4 Sine waves Sec. 1.3 A-H Hmwk 4 *
Week 5 Sound transmission Sec. 1.3 I-J Graph *
Week 6 Review Exam 1 – 9:30am in PCD 4017
Week 7 Meas. scales & dB Sec. 1.4 Hmwk 5 *
Week 8 Digital sampling Sec. 1.5 Hmwk 6 *
Week 9 Fourier transforms Sec. 2.2
Freq. scales Sec. 2.3 Hmwk 7 *
Week 10 Fourier analysis Sec. 2.4
/ Intro to systems Sec. 3.1 *
Week 11 Review Exam 2 – 9:30am in PCD 4017 (none) *
Week 12 Intro to statistics (none) *
Week 13 Resonance, impedance,
filtering Sec. 3.3 Hmwk 8 *
Week 14 Transfer functions Sec. 3.5 Stats *
Week 15 Review *
Final Exam Week Final Exam – Wed (12/9), 10am-12noon, PCD 4017 ( Final Exam)
- Attendance Policy: Classes consist of lecture, discussion and in-class lab exercises that provide you with an opportunity to practice and obtain feedback on your skills. Web resources will also be made available on Blackboard. Regular class attendance, though not formally required, is typically essential for success in the course. Each class and lab exercise is designed to help deepen your understanding of course topics. Only students who are in attendance (or have an excused absence) for an in-class lab assignment will be eligible to earn credit for that assignment.
Students who anticipate the need to miss a class or assignment due to the observation of a major religious observance must provide written notice of the date(s) to the instructor by the second class meeting, so that we can make appropriate arrangements.
- Policy on Make-up Work: "No exam, lab assignment, homework, or critique can be made up unless you have a medical excuse documented by a physician or a death in your immediate family AND you notify me no later than 24 hours after the missed assignment. Similarly, late homework will not be accepted and excused absences will not be granted unless these conditions are met.
Students who wish to obtain an exception to this policy must submit their request in writing to the instructor by the second class meeting for consideration.
Students are expected to work independently on all quizzes and exams. Students are allowed and encouraged to discuss out-of-class assignments with others, but the final product that is turned in should represent each student’s individual work. In keeping with University of South Florida policy, the instructor reserves the right to assign an “FF” grade for the course to any student found to have behaved dishonestly on an exam, quiz or other assignment.
- Program This Course Supports: Doctor of Audiology (Au.D.)
- Course Concurrence Information: Audiology/Speech Pathology
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.