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Course Criteria
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6.00 Credits
(Credit: Variable) 1. 000 TO 6.000 Credit Hours 1. 000 TO 6.000 Other hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Independent Study/Research College of Science & Letters College Math and Science Education Department
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2.00 Credits
This course includes a two-hour seminar on campus each week along with approximately five hours per week in an area school. This is an introductory course that provides students background learning theory, classroom management, aspects of effective teaching, critical classroom variables, and the school as a system. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
A course that provides additional exposure and development of instructional strategies and models of mathematics teaching. Special emphasis is placed upon promoting critical thinking and decision making. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
A course that provides additional exposure and development of instructional strategies and models of science teaching. Special emphasis is placed upon promoting critical thinking and decision making. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
A course that provides additional exposure and development of instructional strategies and models of mathematics teaching. Special emphasis is placed upon promoting critical thinking and decision making. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
Algebra is taught via a problem solving approach with connections to other topic areas such as geometry, statistics and probability. Explorations with and conjecturing about number relationships and functions provide experiences from which students develop algebraic habits of mind: Doing and undoing (algebraic thinking that involves reflective or reverse algebraic reasoning, doing problems and organizing data to representation situations in which input is related to output by well-defined functional rules); and abstracting from computation (developing the capacity to think about computations independently of particular numbers used). Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
Number theory is taught via a problem solving approach with connections to geometry, logic, and probability. Explorations with and conjecturing about number patterns provide experiences from which students study various topics including: factors, primes, and prime factorization; counting techniques; greatest common factor (GCF) and least common multiple (LCM); divisibility; number patterns (e.g., Pascal's triangle, polygonal numbers, Pythagorean triples; Fibonacii numbers); Diophantine equations; remainder classes and modular arithmetic; iteration, recursion, and mathematical induction. Basic Algebra and Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
This course looks at some key issues in the philosophy and history of science, including the rationality of science, the role of values in scientific inquiry, and the use of models and analogies in scientific thinking. Given that experiments and observations alone never suffice to determine theory choice, we seek to understand the values that influence science and investigate how it is that science can make progress. We build towards a picture of science as a social process in which theoretical models are chosen and developed in such a way as to increase our over-all ability to solve important problems. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
This course emphasizes statistics and probability as practical subjects devoted to obtaining and processing data with a view toward making statements that often extend beyond the data. These statements (i.e., inferences) take the form of estimates, confidence intervals, significance tests, etc. The content of this course is concerned with the production of good data, and involves consideration of experimental designs and sample surveys. The activities have their origin in real data and are concerned with processing the data in the widest contexts and with a wide variety of applications such as social, administrative, medical, the physical sciences and the biological sciences. Basic Algebra and Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Schedule Types: Lecture College of Science & Letters College Math and Science Education Department
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3.00 Credits
The purpose of this course is to provide a comprehensive, immerse experience in scientific research for current and perspective K-12 science teachers. It is intended as the first in a two course sequence. In this course, students will begin by having a module covering key concepts in the sociology of science. The bulk of student work will be to participate in a laboratory placement. Prerequisite: Admission into Physical Science Initiative Cohort program, or approval of the instructor. 3. 000 Credit Hours 3. 000 Other hours Levels: Graduate Schedule Types: Practicum College of Science & Letters College Math and Science Education Department
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