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?" (Juniors and Seniors by waiver) (formerly CSCI 0101) 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 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)

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 This senior seminar provides a capstone experience for computer science majors at Middlebury College. Through lectures, readings, and a series of two to three week individual and group assignments, we will introduce important concepts in research and experimental methods in computation. Examples will include: reading research papers; identifying research problems; dealing with big data; experimental design, testing and analysis; and technical writing in computer science. (Approval only).

Andrea Vaccari

Professor Vaccari was the best. His lectures were really clear and always aligned to the problem sets. His class was manageable in terms of the workload, and he gives you time in class to work on the lab where one is able to ask questions.

Professor Vaccari is an awesome prof. The homework start out fairly easy but they get fairly difficult as the semester goes on. The last two in particular are challenging (and a bit tedious). Overall the class is pretty interesting -  especially if you are interested in lower level programming and the hardware side of things. It can be hard to take notes in Vaccari's lectures occasionally but his enthusiasm for the material and his ability to explain things when you ask for clarification more than make up for it.

This class was my first experience in computer science and it was really tough at times. Especially in the last month, it felt like we were going way too fast. That said, Vaccari was very kind and helpful and provided a bunch of useful resources on top of his engaging lectures. We had two coding assignments per week (one hw and one lab) and I frequently had to visit the peer tutors to make sense of them. The exams were also pretty tricky, especially the final because the last few weeks of content felt so rushed. 