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 found this class very difficult. I did not have any prior experience with computer science at all and just follow up was hard. Professor Andrea was super nice and chill but still, the class design itself is tough

There's a ton of content covered in this class, especially if you haven't taken any CS classes before. The course itself is pretty fast-paced towards the end of the semester, but Prof. Vaccari is great. I recommend.

I took this course with no previous CS experience and really enjoyed it. The homework can be fairly challenging, but the professors are more than happy to discuss it during office hours. If you really want to learn this material this class is a great option. The exams also highly reflect homework/lab work which makes it easier to prepare for them. 