CSC 111 - Introduction to Computing - Python

Catalog Description:
Computation problem solving through writing Python programs. Particular elements include: careful development of Python programs from specifications; documentation and style; appropriate use of control structures, data types and subprograms; abstractions and verification; engineering applications. Most seats reserved for Civil, Construction, and Environmental Engineering majors.
Contact Hours:

• Lecture: 2 hours
• Lab: 3 hours

Prerequisites: None
Co-requisites: E115 or COS100 and MA121 or MA131 or MA141
Restrictions: None
Coordinator: Dr. Shuyin Jiao
Textbook:

Course Outcomes:

1. Apply computational thinking and problem-solving techniques to problems in civil, construction, and environmental engineering (without reference to any programming language), specifically:
   • decomposition;
   • pattern recognition;
   • pattern generalization and abstraction;
   • algorithm design;
2. Demonstrate the ability to represent data and information relevant to engineering problems using core Python data structures;
3. Identify and implement fundamental algorithmic control structures such as:
   • conditional branching and execution;
   • definite and indefinite repetition;
   • subroutine/function definition and execution;
   • recursion;
4. Identify and debug common errors in Python source code;
5. Design and implement simple interactive programs in Python;
6. Design and implement programs that use file-based persistent data storage;
7. Design and implement programs that perform basic analysis and data visualization to support engineering decision-making.

Topics:

• Computational Thinking
• Variables and Python Data Types
• Functions
• Control Structure - Conditionals
• Control Structure - Loops
• Looping Designs and Applications
• Objects
• Strings
• Lists
• Tuples
• Dictionaries
• File I/O
• Exception Handlings
• CSV Files
• NumPy
• MatPlotLib
• Pandas

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