ENGIN 178 Statistics and Data Science for Engineers 4 Units
Terms offered: Fall 2024, Spring 2024, Fall 2023
This course provides a foundation in data science with emphasis on the application of statistics and machine learning to engineering problems. The course combines theoretical topics in probability and statistical inference with practical methods for solving problems in code. Each topic is demonstrated with examples from engineering. These include hypothesis testing, principal component analysis, clustering, linear regression, time series analysis, classification, and deep learning. Math 53 and 54 are recommended before Engin 178, Math 53 and 54 are allowed concurrently.
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Objectives & Outcomes
Course Objectives: To demonstrate the use of data science in engineering tasks.
To enable students to import, clean, visualize, and interpret data sets using modern computer languages.
To familiarize students with a range of techniques for building models from data.
To introduce the concepts of quantitative statistics and probability.
To provide a theoretical and conceptual basis for students to understand the role of data in engineering.
To teach students how to build and train machine learning models.
Student Learning Outcomes: A knowledge of contemporary issues.
An ability to apply knowledge of mathematics, science, and engineering.
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
An ability to design and conduct experiments, as well as to analyze and interpret data.
An ability to identify, formulate, and solve engineering problems.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
Rules & Requirements
Prerequisites: ENGIN 7, MATH 1A, MATH 1B MATH 53, and MATH 54 (may be taken concurrently)
Credit Restrictions: Students will receive no credit for ENGIN 178 after completing ENGIN 78. A deficient grade in ENGIN 178 may be removed by taking ENGIN 78.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 2 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Papadopoulos