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| Semester: | Fall 2024 |
| Number: | 0145-123-001 |
| Instructor: | Monica Morales Hernandez |
| Days: | Monday Wednesday 9:00 am - 10:40 am |
| Note: | Traditional In-Person Class |
| Location: | Garden City - Hagedorn Hall of Enterprise 108 |
| Credits: | 4 |
| Course Materials: | View Text Books |
| Description: |
Students will learn how computational problem solving can support and enhance scientific inquiry. Students will manipulate computer-based data, analyze and transform data sets, and use different data visualization techniques to recognize patterns. |
| Learning Goals: |
Students will be able to:● explain how computer programs can support and enable scientific research. Assessed by reflection paper and final projects.● articulate the range of science problems that can benefit from computation. Assessed by lab exercises and tests.● apply computational methods and techniques to science problems. Assessed by lab exercises.● create computer programs that solve directly, or contribute to solutions of, complex problems in biology, chemistry, physics and computer science. Assessed by lab exercises. ● explore and manipulate computer-generated data sets in order to perform basic statistical analysis. Assessed by lab exercises. ● explore and visualize computer-generated data sets in order to draw inferences. Assessed by lab exercises. *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here. |
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