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Nov 26, 2024
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GE 385 - Geological Engineering Data Analysis (4 units)
Introduction to and application of statistical inference and probability theory to analysis of geological engineering problems and data. This includes graphical data analysis and sampling, elements of set theory, elements of probability theory; random variables and expectation, simulation, and statistical inference. These concepts will be applied to a wide range of geological engineering problems using both existing and student-generated Python code.
Maximum units a student may earn: 4
Prerequisite(s): MATH 181; MATH 182.
Grading Basis: Graded
Units of Lecture: 3
Units of Laboratory/Studio: 1
Offered: Every Fall
Student Learning Outcomes
Upon completion of this course, students will be able to:
1. identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. apply engineering design to produce solutions that meet specifed needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
3. recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
4. develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
5. acquire and apply new knowledge as needed, using appropriate learning strategies.
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