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.

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

Natural Language Processing In this course we will explore computational models for processing natural (human) language. We will introduce statistical and algorithmic techniques that are used to classify, generate, and understand language at the syntactic and semantic levels. We will explore applications such as parsing, information extraction, language modeling, and sentiment analysis. Assignments will involve constructing and modifying systems and will incorporate a variety of large corpora. We will also discuss the ethical concerns associated with current methods for collecting and labeling large corpora, and how language technologies might reflect and reinforce social hierarchies. This course fulfills the Responsible Computing requirement for the Computer Science major.

Software Development This course examines the process of developing larger-scale software systems. Laboratory assignments emphasize sound programming practices, tools that facilitate the development process, and teamwork.

Laura Biester

Reviews and ratings for Laura Biester at Middlebury College.Laura Biester teaches Data Structures, Introduction to Computing, Natural Language Processing and more.  Explore top rated instructors and find the best for you.Is Laura Biester good ? Find out on MiddCourses.

This course is a good class if you have previous experience with the Java language and want to learn more. The course is initially very fast-paced when covering the basics of the syntax (we covered the entirety of the AP CSA curriculum in a few weeks) but it is also interesting material.

Really enjoyed Professor Biester/this class in general! I already knew a lot of the content coming into it, but the class was never boring. I would definitely recommend as a professor/class. Assignments were fairly and clearly graded.

I enjoyed this course. Professor Biester is very accommodating and supportive. The class is quite homework heavy, and I wish there had been more projects. Overall, the class has a relaxed atmosphere. It is mostly lecture based, but much of the material can also be learned from online resources.