COVID-19: Essential Information

Ananya Das Christman

Associate Professor of Computer Science

 
 work(802) 443-5841
 Mon: 2:45pm-3:45pm, Wed: 1:00pm-2:00pm, Fri: 12:00pm-1:00pm
 75 Shannon 209

Personal webpage.

 

Courses

Course List: 

Courses offered in the past four years.
indicates offered in the current term
indicates offered in the upcoming term[s]

CSCI 0201 - Data Structures      

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 0150) (Juniors and Seniors by waiver) 3 hrs. lect./lab DED

Spring 2018, Spring 2020, Spring 2021, Fall 2021

More Information »

CSCI 0302 - Algorithms and Complexity      

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. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc. DED

Spring 2018, Fall 2019, Fall 2020, Spring 2022

More Information »

CSCI 0311 - Artificial Intelligence      

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. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab DED

Spring 2020, Spring 2021, Spring 2022

More Information »

CSCI 0500 - Advanced Study      

Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

Winter 2018, Spring 2018, Winter 2019, Fall 2019, Winter 2020, Spring 2020, Fall 2020, Winter 2021, Spring 2021, Fall 2021, Winter 2022, Spring 2022

More Information »