CSC 5120 - Software Development for Machine Learning

• Design and implement software that uses logic and looping to solve problems
• Implement logic for reading, parsing, and writing common text file formats
• Use data structures such as strings, lists, sets, dictionaries, and tuples to solve data processing and algorithmic problems
• Write software organized into multiple classes and modules
• Use a version control tool (i.e., Git) to share and collaborate on software development projects
• Document the implementation of software systems
• Write automated tests for pre-conditions and post-conditions using a testing framework
• Use recursion to solve a given problem
• Design and implement linked lists and trees to store and access data and state information
• Implement and apply tree algorithms to solving search and planning problems
• Use exact tracing to quantify and predict the runtime of a given algorithm
• Apply the concepts of asymptotic complexity to accurately characterize the Big-O of a given algorithm

• Programming experience with a high-level language

• Introduction to procedural and object-oriented Python 
• Python data types: strings, lists, sets, dictionaries, and tuples  
• Loading and manipulating data stored in tabular or semi-structured text files 
• Implementing and using classes in Python
• Interactions with Git repositories 
• Writing tests with assertion statements and the Python unittest library
• Linked lists and trees 
• Recursion 
• Search and planning problems in AI such as playing games
• Applications of tree data structures and algorithms to solve search and planning problems