Middlebury

 

Daniel Scharstein

Professor of Computer Science

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Phone: work802.443.2438
Fax: fax802-443-2072
Office Hours: On leave for Academic Year 2013-14
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Daniel Scharstein studied Computer Science at the Universität Karlsruhe, Germany, and received his PhD from Cornell University in 1997. His research interests include computer vision, in particular stereo vision, and robotics. He maintains several online computer vision benchmarks at http://vision.middlebury.edu.

 

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Courses

Courses offered in the past four years.
indicates offered in the current term
indicates offered in the upcoming term[s]

CSCI 0101 - The Computing Age      

The Computing Age
In this course we will provide a broad introductory overview of the discipline of computer science, with no prerequisites or assumed prior knowledge of computers or programming. A significant component of the course is an introduction to algorithmic concepts and to programming using Python; programming assignments will explore algorithmic strategies such as selection, iteration, divide-and-conquer, and recursion, as well as introducing the Python programming language. Additional topics will include: the structure and organization of computers, the Internet and World Wide Web, abstraction as a means of managing complexity, social and ethical computing issues, and the question "What is computation?" 3 hr. lect./lab

DED

Fall 2010, Fall 2011, Fall 2012

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CSCI 0150 - Computing for the Sciences      

Computing for the Sciences
In this course we will provide an introduction to the field of computer science geared towards students interested in mathematics and the natural sciences. We will study problem-solving approaches and computational techniques utilized in a variety of domains including biology, chemistry, physics, and engineering. Students will learn how to program in Python and other languages, how to extract information from large data sets, and how to utilize a common technique employed in scientific computation. The course has no prerequisites and assumes no prior experience with programming or computer science. 3 hrs. lect./lab

DED

Fall 2014

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CSCI 0201 - Data Structures      

Data Structures
In this course we will study the ideas and structures helpful in designing algorithms and writing programs for solving large, complex problems. The Java programming language and object-oriented paradigm are introduced in the context of important abstract data types (ADTs) such as stacks, queues, trees, and graphs. We will study efficient implementations of these ADTs, and learn classic algorithms to manipulate these structures for tasks such as sorting and searching. Prior programming experience is expected, but prior familiarity with the Java programming language is not assumed. (One CSCI course at the 0100-level) 3 hrs. lect./lab

DED

Spring 2011, Spring 2012, Spring 2013

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CSCI 0202 - Computer Architecture      

Computer Architecture
A detailed study of the hardware and software that make up a computer system. Topics include assembly language programming, digital logic design, microarchitecture, pipelines, caches, and RISC vs. CISC. The goal of the course is teach students how computers are built, how they work at the lowest level, and how this knowledge can be used to write better programs. (CSCI 0201 previously or concurrently) 3 hrs. lect./lab

DED

Fall 2010, Fall 2011, Fall 2012

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CSCI 0433 - Compiler Design      

Compiler Design
An introduction to the design and construction of compilers and translators. Topics include context-free grammars, lexical analysis, symbol tables, top-down and bottom-up parsing, parser generators, error recovery, run-time organization, declaration processing, type checking, code generation, and optimization. Through the course of the semester students will implement a complete compiler for a simple programming language. (CSCI 0202 and CSCI 0301) 3 hrs. lect./lab

DED

Spring 2011, Fall 2014

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CSCI 0453 - Computer Vision      

Computer Vision
The goal of computer vision is to extract information from digital images and movies. Topics covered in this course include algorithms for edge and motion detection, stereo vision, object recognition, and recovering structure from motion. A range of mathematical techniques will be used to model problems and algorithms. Students will implement, test, and evaluate several computer vision techniques, and will gain experience with analyzing real, noise-contaminated image data. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab

DED

Spring 2013

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CSCI 0461 - Computer Graphics      

Computer Graphics
The mathematical techniques for creating graphics on the computer. Topics include clipping, perspective, coordinate transformations, hidden surface algorithms, and animation. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab

DED

Spring 2012

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CSCI 0500 - Advanced Study      

Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

Fall 2010, Winter 2011, Spring 2011, Fall 2011, Winter 2012, Spring 2012, Fall 2012, Winter 2013, Spring 2013, Fall 2014

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