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Department of Computer Science

Undergraduate Focus Area: Artificial Intelligence

The Artificial Intelligence Focus Area in the Computer Science Major
Department of Computer Science
Tufts University

Last updated by Matthias Scheutz on November 6, 2018

The crux of Artificial Intelligence (AI) is to understand how machines can learn to autonomously perform different types of tasks that typically require some intelligence on the human side (e.g., object classification and identification, task scheduling and planning, game playing, decision-making, natural language understanding, etc.). The purpose of this focus area is to provide you with breadth and depth in the broad area of artificial intelligence focusing on both statistical as well as symbolic approaches with a strong technical foundation in computer science. This focus area applies equally well for Arts and Sciences (A&S) and School of Engineering (SoE) students.

The Computer Science Core
1. Introduction to Computer Science (CS 11)
2. Data Structures (CS 15)
3. Machine Structure & Assembly Language Programming (CSW 40)
4. Discrete Mathematics (CS 61)
6. Programming Languages (CS 105)
6. Algorithms (CS 160)
7. Theory of Computation (CS 170)

The AI Core
1. Artificial Intelligence (CS 131)
2. Machine Learning (CS 135)
3. Ethics in AI, Robotics, and HRI (CS 150-XX)

AI Electives
Pick at least three courses from the list below:
1. Deep Neural Networks (CS 150)
2. Statistical Pattern Recognition (CS 136)
3. Advanced Machine Learning (CS ??)
4. Autonomous Intelligent Robots (CS 50)
5. Natural Language Processing (CS 150)
6. Probabilistic Robotics (CS 150-XX)
7. Reinforcement Learning (CS 150-XX)
8. Computational Models in Cognitive Science (CS 150-XX)
9. Computer Vision (CS 150-XX)
10. Bayesian Deep Learning (CS 150-XX)

To be successful in AI in the future (in academia and industry alike), you will need to be able to demonstrate practical hands-on experience with AI algorithms and problems. You can fulfill the capstone de facto requirement in our AI focus area by either doing a year long senior capstone project via CS 97 and CS 98 or doing a thesis in AI via CS 197.

Focus areas

Guidance for class selection in areas where Computer Science majors may wish to focus.

In response to student feedback, the Department of Computer Science has been looking for ways to provide guidance on how to achieve greater depth in specific areas within the computer science major. To that end, we are now offering information on what we call focus areas. Focus areas as we define them are a kind of unofficial concentration within the major, and our focus area guides are meant to provide additional scaffolding or structure to help students decide which courses they may want to take. More guides may become available in the future.