Make it matter for students by connecting computer science to other fields, such as medicine, the humanities, and media. By showing how computer science concepts and skills are used in other fields, you can engage students who may not have considered computer science as a major or career.

Some suggestions

Use interdisciplinary problems. Assign homeworks, labs, and projects that have students apply what they are learning to interesting problems in other fields. The EngageCSEdu collection has lots of examples!

Draw on the expertise of colleagues from other fields. Worried that you can’t make the interdisciplinary connections yourself? Ask around for colleagues who do computational work in their fields. Then have them come talk to your students or collaborate with them on some assignments.

Introduce students to cross-disciplinary computing fields. Highlight the contributions made by other disciplines to new interdisciplinary fields in computing. These are often referred to as 'x-informatics' (e.g., bioinformatics) and 'computational y' (e.g., computational linguistics).

Examples from the collection

Lab 6 - Impressionism and Implicit Functions (Looping 2D Space)

This is the sixth lab in a course on computational art (CS1) using Processing (https://processing.org/overview/). In this lab, students write a program that creates an image using an implicit representation of geometry that is drawn using shapes to emulate paint strokes.

In this lab, students will:

Engagement Excellence

Computational Creativity Exercise (CCE): Storytelling

In this assignment students work as a team to develop chapters of a story where the first and last sentence of the chapter is prescribed. Students first work independently developing their own chapter and then work collaboratively to identify and resolve logical inconsistencies in the chapters in order to produce a final coherent story.  This exercise will allow students to practice problem decomposition, abstraction, and evaluation, and also debugging and testing.

Engagement Excellence

Problem Set 7: Simulating The Spread of Disease and Virus Population

In this assignment, students design and implement a stochastic simulation of patient and virus population dynamics. Using Python and pylab, students must reach conclusions about treatment regimens based on the simulation results by implementing classes that model the virus population and running an analysis on a 'no-drug treatment' simulation.

Engagement Excellence

Resources

Olympics Lab

In this lab students compute the acceleration of a short track speed skater per lap. This is a lab for early in a semester of CS 1. It requires the use of 1) standard input/output, 2) variables and simple arithmetic expressions, 3) selection statements, and 4) loops.

Learning objectives:
* Compiling, linking, executing a program
* Developing an algorithm
* Testing a program
* Using the C++ syntax and programming constructs of standard I/O, variables and arithmetic expressions, selection statements, and loops

Fitness Tracking Lab

In this lab, students track their own fitness activities for a week. They submit this data which becomes some of the test data for the lab. Based on the students' activities, the program computes the number of equivalent miles each student has walked and the total number of miles walked by everyone together. Output is sorted from most miles walked to least miles walked. 

This is a lab for late in the semester of a CS 1 course. It requires students to use text files and an array of structures.

Learning objectives:

Air Quality Index Calculator

In this project, students make a calculator that determines the Air Quality Index (AQI) given user-input sensor data. All calculations follow methods published by the US Environmental Protection Agency (EPA) and give students practice handling user input, rounding/truncating, calculating the max and min, and must handle a a simple calculation that requires either a look-up table or conditionals. This assignment can be given early in the semester to help students gain experience and proficiency with loops, calculating max/min, using conditionals and boolean expressions. 

Engagement Excellence

Wallpaper Tessellation Creator

In this assignment, students will create geometric tilings in Python. Students work to draw tessellations whose specifications are provided, and have the opportunity to design their own. Students practice problem decomposition to build logic that draws a single element, a row of elements and finally a plane tiled with rows.

CPE123 (CS1) Syllabus

This course is one version of Cal Poly's CPE123, an introductory course targeting incoming freshmen. All sections of CPE123 have the goal of engaging students in "demonstrating the relevance of computing to the world around them" by challenging "students with creative, constructivist challenges that are relevant to their own lives.” It assumes no prior experience in computer science.

Computational Creativity Exercise (CCE): Marble Maze I

In this assignment students work as a team to build, using only specified materials, a structure through which a marble will travel,  Students first work independently developing their own segment of the structure and then work collaboratively to construct a final structure. Students are required to video tape the execution of a marble traveling through the structure lasting at least n seconds. This exercise will allow students to practice problem decomposition, abstraction, generalization, and evaluation, and also debugging and testing.

Dynamic Word Clouds

This project, the 4th unit in a year-long high school introductory programming course, teaches students how to write programs that draw text objects in an individually designed word cloud. It uses the programming language, Processing (www.processing.org), which is a simplified form of Java.

Engagement Excellence

Ray Casting Project

This project is a series of 5 assignments which incrementally teach the students about Ray Casting. Ray casting is a simulation and approximation of light traveling from a virtual object (for this project, a sphere) to a virtual eye that can be used to generate a three-dimensional image.

The project emphasizes functional decomposition through the topics of data aggregation, loops, lists/arrays, conditional statements, and functions.

Weather Data Analysis

This assignment helps students gain experience and proficiency with the Python pandas package in order to learn how to visualize weather data.  Students use Python to get sample outputs and then graph weather data such as maximum and minimum temperatures as well as number of days with rain. 

Computational Creativity Exercise (CCE): Storytelling

In this assignment students work as a team to develop chapters of a story where the first and last sentence of the chapter is prescribed. Students first work independently developing their own chapter and then work collaboratively to identify and resolve logical inconsistencies in the chapters in order to produce a final coherent story.  This exercise will allow students to practice problem decomposition, abstraction, and evaluation, and also debugging and testing.

Engagement Excellence
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