BE205
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BE205 - Engineering Analytics and Problem-Solving using Python
Course Description
The course will combine Microsoft Excel and the Python programming language to solve Biosystems Engineering problems and statistics using data analytics and problem-solving techniques. This course will use computer-based training to learn and master the use of Microsoft Excel. Python programming will cover objects, objects types, graphics user interfaces (GUIs), sequences, stings, lists, dictionaries, coding user-defined functions, decision structures, loop structures and Booleans, classes, simulation and design, object-oriented programming (OOP), and using Python libraries. Special topics related to data collections, exploring data, packages, prediction and analytics tools, and data over the internet will be introduced.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Attributes
CE - CL (Cross Listed)
Cross Listed Courses
Name
Lecture
Workload Hours
3
Optional Component
No