Oct 13, 2024  
OHIO University Undergraduate Catalog 2022-23 
    
OHIO University Undergraduate Catalog 2022-23 [Archived Catalog]

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PHYS 2001 - Introduction to Physics


First course in physics; open to students from all areas. Students should have a background in algebra, trigonometry and geometry, but no calculus required. Recommended for students in liberal arts, architecture, industrial technology, geological sciences, and premedicine. Mechanics of solids and liquids, oscillations, heat, thermodynamics. No credit for PHYS 2001 after PHYS 2051.

Requisites: (MATH 1200 or math placement level 2 or higher) and WARNING: not PHYS 2051 or PHYS 2054 and 2055
Credit Hours: 4
OHIO BRICKS Pillar: Natural Sciences
General Education Code (students who entered prior to Fall 2021-22): 2NS
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
College Credit Plus: Level 1
Learning Outcomes:
  • Students will be able to explain basics terminology, concepts and methods of physics.
  • Students will be able to develop and communicate a broad knowledge of the physical principles that describe and contribute to the world around us.
  • Students will be able to apply algebra, trigonometry and geometry to represent the world mathematically and model physical processes.
  • Students will be able to analyze multiple-concept problems, appropriately determining the concepts and approaches needed for each aspect of the problem and separating pertinent information from extraneous information.
  • Students will be able to analyze complex problems and systems by breaking them into series of simpler problems based on the basic laws of physics.
  • Students will be able to apply scientific methods of inquiry to gather and analyze data, draw evidence-based conclusions, and present data in graphical and tabular form with proper annotation.
  • Students will be able to demonstrate how experimental data supports scientific arguments in a logical fashion.



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