General Introduction to Data Science. 3 credits, 3 contact hours

Catalog description

Prerequisites: CS 100 or CS 101 or CS 103 or CS 104 or CS 106 or CS 113 or CS 115 or BME 210 or BNFO 135 with a grade C or better. Restrictions: This course is not for DS and CS majors, DS or CS students need to take DS 340 or CS 301 instead. This course provides a basic, yet comprehensive coverage of the fundamental principles and practical applications of data science and artificial intelligence (AI). This course, intended for all majors at NJIT, provides an introduction to Data Science with reduced coding. The course progresses to help students build a solid foundation for data processing, computing, and analysis. Topics include data manipulation, visualization, big data ecosystem, machine learning, deep learning, trustworthy AI, AI ethics, and cutting-edge advancements such as large language models and AI for sciences. Hands-on work involves Python with popular libraries including Pandas, NumPy, and PyTorch. This course is not for DS and CS majors.