Computational Thinking in Context: Digital Images and Sound - CSE204

Instructor: Nicoleta Roman

Office: Galvin Hall 460E   Phone: 419-995-8224

Email address: roman.45@osu.edu

Instructor Website: lima.osu.edu/people/nroman

 

Description

Introduction to computational thinking, focusing on problem solving and programming concepts and skills needed to manipulate digital images and sound; creativity and imagination encouraged.

 

The course is worth 4 credits.

 

Prerequisites

NONE. Recommended for students with little or no programming experience or who are not confident in their programming background.

 

Course Objectives

• Master using basic constructs provided by high-level imperative programming languages: sequencing, selection, and iteration.
• Be familiar with algorithmic thinking.
• Be familiar with simple media manipulation algorithms and how to apply them to solve interesting media manipulation problems.
• Be familiar with using basic data structures such as arrays in simple programs.
• Be familiar with procedural composition.
• Be familiar with working in a window-based computing environment.
• Be exposed to the virtual machine model of modern computer systems.

 

 

Topics

Number of Hours	Topic
2	Course introduction and basic concepts
4	Introduction to programming with media, images, colors, encodings
4	Loops, new definitions, simple image manipulations
10	Nested loops, conditionals, Boolean expressions, advanced image manipulations
8	Arrays, sound encoding, manipulation, and synthesis
5	Movies, animations
3	Topics in computer science
4	Midterm, quizzes, and exam reviews

 

Representative Lab Assignments

• Make a collage of several pictures using various transformations
• Compose an audio collage from natural and synthesized sounds
• Generate an animation, e.g., using digital image techniques learned earlier
• Reproduce an interesting digital image effect from Photoshop/Gimp

 

Textbooks

 

Introduction to Computing and Programming in Python: A Multimedia Approach, Pearson Prentice Hall, Mark Guzdial, 2005,

ISBN 0-13-117655-2.

 

 

Grading Plan

 

Midterm	15%
Final	25%
Quizzes	10%
Homework	10%
Closed Lab	20%
Projects	20%