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. (CSCI 0145 or CSCI 0146 or CSCI 0150)

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

Senior Thesis The senior thesis is required for all CSCI majors who wish to be considered for high and highest departmental honors, and is recommended for students interested in pursuing graduate study in computer science. Students will spend the semester researching and writing, and developing and experimenting as appropriate for their topic. All students will be expected to report on their work in the form of a written thesis, a poster, and an oral presentation at the end of the semester. In addition, throughout the semester, students will meet as a group to discuss research and writing, and will be expected to attend talks in the Computer Science lecture series. Before approval to join the class is granted, students are expected to have chosen a thesis adviser from the CSCI faculty, and determined a thesis topic with the guidance and approval of that adviser.

Machine Learning Machine learning algorithms detect patterns in data and use these patterns to make decisions. This course introduces the theory and practice of machine learning. Tasks considered may include classification, regression, clustering, dimensionality reduction, text embedding, and reinforcement learning. Applications may include predictive analytics, data visualization, pattern recognition, and strategic game-playing. We will also discuss the social implications of automated decision systems. This course fulfills the Responsible Computing requirement for the Computer Science major. (Not open to students who have already taken CSCI 1051.)

John Foley

Reviews and ratings for John Foley at Middlebury College.John Foley teaches Data Structures, Introduction to Computing, Senior Thesis and more.  Explore top rated instructors and find the best for you.Is John Foley good ? Find out on MiddCourses.

I really liked their teaching style. They teach the basic of these computing concepts really well. USually had a lot fo homework every week and also had Lab assignments that were due. Going to office hours really helped too. It is a really fun course.

The class was slow-placed and really didn't require any knowledge about coding prior to taking the class. The only challenging portion of the class was the final project where you will be asked to work on a project. The lab portions of the class helped me with learning more about coding(although it was not mandatory). Also, the exams are take-home online.

Course overall wasn't too bad. Homework was relatively easy. We did often have quizzes but they were generally easy to average and he was a fair grader. If a lot of people got a question wrong, he would remove the question from the quiz. Also exams were online. That being said near the end the difficulty ramped really quick with like 2 difficult projects.