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)

Algorithms and Complexity This course focuses on the development of correct and efficient algorithmic solutions to computational problems, on the underlying data structures to support these algorithms, and on the social implications of algorithms. Topics include computational complexity, analysis of algorithms, proof of algorithm correctness, some advanced data structures, algorithmic techniques including greedy and dynamic programming, and the consequences of real-world applications of algorithms. The course complements the treatment of NP-completeness in CSCI 0301.

Artificial Intelligence Artificial Intelligence (AI) is the study of computational systems that exhibit rational behavior. Applications include strategic game playing, medical diagnosis, speech and handwriting recognition, Internet search, and robotics. Course topics include intelligent agent architectures, search, knowledge representation, logical reasoning, planning, reasoning under uncertainty, machine learning, and perception and action. We will also discuss the social implications of AI systems. This course fulfills the Responsible Computing requirement for the Computer Science major.

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.

Ananya Das

Reviews and ratings for Ananya Das at Middlebury College.Ananya Das teaches Data Structures, Algorithms and Complexity, Artificial Intelligence and more.  Explore top rated instructors and find the best for you.Is Ananya Das good ? Find out on MiddCourses.

This class was okay. I think it just felt a little monotonous but the content itself wasn't all that intriguing to me period. Professor Das is pretty nice, though! It was just a bit hard to keep attention for the entire lecture sometimes, but her written notes helped.

This class frustrated me on many levels. The homework was often unreasonable busy work, requiring us to apply one concept we have learned in about an hour and then needing us to do about five hours of extra nonsense. She was a clear lecturer and uploaded her detailed notes which was nice, but the subject matter was unfortunately boring. 

Professor Das method of teaching data structures was very helpful and made it easy to follow. The weekly homework were challenging, but doable with the help of TA hours. Exams were difficult, but the professor provided us with great practice beforehand and zoom sessions to cover material.