CSCI280 — Artificial Intelligence and Machine Learning Foundations
CSCI 280 - Artificial Intelligence and Machine Learning Foundations CSCI 280 - Artificial Intelligence and Machine Learning Foundations 5 Credits This course introduces the foundations of machine learning (ML) and artificial intelligence (AI). Students collect, evaluate, and clean data, use machine learning tools to train and deploy a model. Students will also evaluate the accuracy of the model and perform model tuning by interpreting model results for forecasting. Algorithms, computer vision, natural language processing and generative AI will be introduced. Students will have hands-on labs with standard algorithms and tools. 0 or CSCI 180 min 2.0) and (CSCI 132 min 2.0) Fees Quarters Typically ummer Fall Winter Spring Designed to Serve Students wanting to gain knowledge of data science relevant to the program of study, including students in data-adjacent fields. Active Date 20250521T15:17:39 Grading Basis Decimal Grade Class Limit 24 Lecture 55 Total Degree Distributions: AA ProfTech Course Yes Restricted Elective Yes ProfTech Related Instruction BAS Course Outline Introduction to machine learning and artificial intelligence Review of statistical methods and data types Introduce algorithms Knowledge representation and reasoning Deep learning pipelines Understanding bias in training Applications of artificial intelligence Natural language processing Transformers and attention Generative AI Computer vision Student Learning
Prerequisites: CSCI180, CSCI132