Moving Image Production

(Offered as ARHA 221 and FAMS 221) This introductory course is designed for students with no prior experience in moving image production. The aim is both technical and creative. We will begin with the literal foundation of the moving image--the frame--before moving through shot and scene construction, lighting, sound-image concepts and final edit. In addition to instruction in production equipment and facilities, the course will also explore cinematic form and structure through weekly readings, screenings and discussion.

HonSem1:Ideas/ChangeTheWorld

In this seminar, students will examine texts and works of art that have profoundly shaped the world we live in. The course is divided into four units: Models of Inquiry; the Impact of Science and Technology; Social Philosophy and Civic Engagement; and Art in the World. The course is supplemented with several plenary lectures by distinguished honors faculty speakers.

HonSem1:Ideas/ChangeTheWorld

In this seminar, students will examine texts and works of art that have profoundly shaped the world we live in. The course is divided into four units: Models of Inquiry; the Impact of Science and Technology; Social Philosophy and Civic Engagement; and Art in the World. The course is supplemented with several plenary lectures by distinguished honors faculty speakers.

Intro To Algorithms

The design and analysis of efficient algorithms for important computational problems. Emphasis on the relationships between algorithms and data structures and on measures of algorithmic efficiency. Sorting (heapsort, mergesort, quicksort), searching, graph algorithms. Experimental analysis of algorithms also emphasized. Use of computer required. Prerequisite: CMPSCI 250.

Computer Vision

People are able to infer the characteristics of a scene or object from an image of it. In this course, we will study what is involved in building artificial systems which try to infer such characteristics from an image. Topics include: Basics of image formation - the effect of geometry, viewpoint, lighting and albedo on image formation. Basic image operations such as filtering, convolution and correlation. Frequency representations of images. The importance of scale in images. Measurements of image properties such as color, texture, appearance and shape.

Ming-Che Liu

Submitted by Anonymous (not verified) on
Primary Title:  
Senior Research Fellow
Institution:  
UMASS Amherst
Department:  
Biochemistry & Molecular Biology
Email Address:  
mingcheliu@umass.edu
Telephone:  
413-545-4804
Office Building:  
Lederle Grad Research Tower

Jessica Krause

Submitted by Anonymous (not verified) on
Primary Title:  
Business Systems Analyst
Institution:  
UMASS Amherst
Department:  
A&F Information Technology
Email Address:  
jtkrause@umass.edu
Telephone:  
413-545-1937
Office Building:  
Whitmore Admin Building
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