Image Processing In this course students will learn basic image processing concepts and explore practical cross-disciplinary case studies in teams.  They will use open-source tools to tackle real-world image and video analysis problems ranging from enhancing and denoising to tracking and extracting information from images and videos. Collaboratively, students will get to apply these tools to a problem of their choice in a semester-long project.

Introduction to Computing 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./1 hr. lab

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 teaching students how computers are built, how they work at the lowest level, and how this knowledge can be used to write better programs.

Embedded Systems In this course we will learn about microcontrollers (compact single-chip integrated circuits at the core of embedded systems), including their architecture and how they interface with the outside world. In laboratory assignments, we will experiment with different families of microcontrollers, analyze various types of interfaces, and learn how to connect with external sensors and devices. While gaining hands-on familiarity with the different aspects of embedded systems, teams of students will engage in a semester-long project to design and build their own embedded system.

Senior Seminar The senior seminar provides a capstone experience for computer science majors at Middlebury College. We will discuss strategies for conducting research and developing large-scale software while effectively communicating technical concepts through writing and presentations. In teams, students will identify a research question or software development project and then design, develop, test and analyze their final products. Lectures will be complemented by readings and discussions related to the impacts of computing on society. This course fulfills the Responsible Computing requirement for the Computer Science major.

Andrea Vaccari

Reviews and ratings for Andrea Vaccari at Middlebury College.Andrea Vaccari teaches Image Processing, Introduction to Computing, Computer Architecture and more.  Explore top rated instructors and find the best for you.Is Andrea Vaccari good ? Find out on MiddCourses.

I thought that Vaccari did an amazing job at teaching this class. I had never had any experience with computer science, and I felt like he taught everything to me in ways that I could understand from a non-computing heavy backround

Professor Viccari made the coursework understandable and I was able to follow everything despite having no programming experience. There were no long-term assignments; there were 6 mini-tests, one every two weeks, and a homework assignment every week.

this class was super interesting, and even though I don't plan on taking computer science courses in the future, i'm glad I took this course. professor vaccari is a very enthusiastic teacher and is willing to stay past his office hours slots just to provide extra help. The weekly quizzes and bi-weekly tests were a bit annoying.