CSD 285 Advanced Programming with Python

5 credits

In this course students learn advanced concepts in Python which include object-oriented programming as well as advanced topics in data science such as machine learning and data analytics. Additional concepts include selected topics from functional programming.

Prerequisites: CSD 110 and; CSD 228 or CS 143

Course Outcomes
Upon successful completion of this course students will be able to:

Design and implement Object Oriented principles in Python
Write code that utilizes exceptions and exception handling mechanism available in Python
Demonstrate mastery in using machine learning modules
Demonstrate knowledge of machine learning algorithms such as supervised learning and unsupervised learning
Demonstrate mastery in using data analysis modules
Write programs to incorporate ternary conditional operators, variadic functions, anonymous lambda functions, iterators, decorators, filters, and maps.
Design and implement programs to solve real-world problems in Python.

Total Hours: 60 Theory (Lecture) Hours: 40 Guided Practice (Lab or Clinical) Hours: 20