Computational Tools for Engineers Course Overview

The video introduces a course taught by John Henry, covering software tools like Excel, Python, and MATLAB. It explains the flipped classroom approach, where students watch lectures and take quizzes before class, allowing class time for homework. The course includes projects, a heat exchanger design, and a student-chosen project. Resources include a course website, Webex sessions, and a YouTube playlist. Future courses in dynamics and optimization are also mentioned.

Which software tool is NOT mentioned as part of the course curriculum?

• Java

• Python

• Mathcad

• Microsoft Excel

What is the primary teaching method used in this course?

• Traditional lectures followed by homework

• Flipped classroom with lectures before class

• In-class lectures only

• Online quizzes only

In a flipped classroom, what activity is typically done during class time?

• Reading textbooks

• Working on homework

• Taking quizzes

• Watching lectures

Which topic is NOT part of the course content outline?

• Data regression

• Tank overflow example

• Dynamic simulation

• Web development

What is the first project in the course about?

• A group project of choice

• A heat exchanger design

• A software development task

• A data analysis project

How can students choose their second project?

• With approval from the instructor or TAs

• By voting in class

• By choosing any topic without approval

• By selecting from a list provided by the instructor

What platform is used for daily class sessions?

• Zoom

• Google Meet

• Microsoft Teams

• Webex

Where can students find all the video content for the course?

• In the course textbook

• In the library

• On the course website

• On a YouTube playlist

Which future course builds on the programming skills learned in this class?

• Database Management

• Machine Learning

• Dynamics and Control

• Web Development

What is the main goal of this course?

• To make students experts in Excel

• To help students feel comfortable with programming and computer tools

• To teach students how to build websites

• To prepare students for a career in data science