Artificial Intelligence and Decision Making (Course 6-4)
Department of Electrical Engineering and Computer Science
Bachelor of Science in Artificial Intelligence and Decision Making
General Institute Requirements (GIRs)
The General Institute Requirements include a Communication Requirement that is integrated into both the HASS Requirement and the requirements of each major; see details below.
| Summary of Subject Requirements | Subjects |
|---|---|
| Science Requirement | 6 |
| Humanities, Arts, and Social Sciences (HASS) Requirement; at least two of these subjects must be designated as communication-intensive (CI-H) to fulfill the Communication Requirement. | 8 |
| Restricted Electives in Science and Technology (REST) Requirement [satisfied by 6.1200[J] and 18.C06[J] in the Departmental Program] | 2 |
| Laboratory Requirement (12 units) [satisfied by 6.1010 in the Departmental Program] | 1 |
| Total GIR Subjects Required for SB Degree | 17 |
| Physical Education Requirement | |
|---|---|
| Swimming requirement, plus four physical education courses for eight points. |
Departmental Program
Choose at least two subjects in the major that are designated as communication-intensive (CI-M) to fulfill the Communication Requirement.
| Fundamentals | Units | |
| 6.100A | Introduction to Computer Science Programming in Python | 6 |
| 6.1210 | Introduction to Algorithms | 12 |
| 6.1010 | Fundamentals of Programming | 12 |
| 6.1200[J] | Mathematics for Computer Science | 12 |
| 18.C06[J] | Linear Algebra and Optimization 1 | 12 |
| Select one of the following: | 12 | |
| Introduction to Probability | ||
| Introduction to Inference | ||
| Introduction to Probability and Statistics | ||
| Centers | ||
| Select five subjects, including one from each area: | 60 | |
Data-centric | ||
| Introduction to Statistical Data Analysis | ||
| Introduction to Machine Learning | ||
Model-centric | ||
| Signal Processing | ||
| Representation, Inference, and Reasoning in AI 2 | ||
| Computer Graphics 3 | ||
Decision-centric | ||
| Dynamical System Modeling and Control Design | ||
| Representation, Inference, and Reasoning in AI 2 | ||
| Optimization Methods 4 | ||
Computation-centric | ||
| Design and Analysis of Algorithms | ||
| Computer Graphics 3 | ||
| Optimization Methods 4 | ||
Human-centric | ||
| Networks | ||
| AI, Decision Making, and Society | ||
| Computational Cognitive Science | ||
| Foundations of Information Policy | ||
| Communication-intensive in the Major | ||
| Select one of the following: | 9-12 | |
| Oral Communication (CI-M) | ||
| Seminar in Undergraduate Advanced Research (12 units, CI-M) | ||
| Application CI-M | ||
| Select one of the following: | 12-15 | |
| Robotics: Science and Systems (CI-M) | ||
| Robotic Manipulation (CI-M) | ||
| Advances in Computer Vision (CI-M) | ||
| Quantitative Methods for Natural Language Processing (CI-M) | ||
| Social and Ethical Responsibilities of Computing (SERC) | ||
| Students must satisfy at least one program requirement or elective with a subject from the list of SERC-qualified subjects | ||
| Electives | ||
| One subject that satisfies a degree requirement in Course 6 or Course 18 | 12 | |
| Select one of the following: | 12-15 | |
One subject from the list of AI+D Advanced Undergraduate Subjects | ||
One additional Application CI-M subject | ||
| Units in Major | 171-180 | |
| Unrestricted Electives | 48 | |
| Units in Major That Also Satisfy the GIRs | (36) | |
| Total Units Beyond the GIRs Required for SB Degree | 183-192 | |
The units for any subject that counts as one of the 17 GIR subjects cannot also be counted as units required beyond the GIRs.
| 1 | 18.06 Linear Algebra is also an acceptable option. |
| 2 | 6.4110 Representation, Inference, and Reasoning in AI may count toward models or decision-making, but not both. |
| 3 | 6.4400 Computer Graphics may count toward models or computation, but not both. |
| 4 | 6.7201 Optimization Methods may count toward decision-making or computation, but not both. |
SERC-qualified Subjects
| 6.3900 | Introduction to Machine Learning | 12 |
| 6.3950 | AI, Decision Making, and Society | 12 |
| 6.4590[J] | Foundations of Information Policy | 12 |
| 6.8301 | Advances in Computer Vision (CI-M) | 15 |
| 6.8611 | Quantitative Methods for Natural Language Processing (CI-M) | 15 |
AI+D Advanced Undergraduate Subjects
| 6.3730[J] | Statistics, Computation and Applications | 12 |
| 6.5151 | Large-scale Symbolic Systems 1 | 12 |
| 6.5831 | Database Systems 1 | 12 |
| 6.8371 | Digital and Computational Photography | 12 |
| 6.8701 | Computational Biology: Genomes, Networks, Evolution | 12 |
| 6.8711[J] | Computational Systems Biology: Deep Learning in the Life Sciences 1 | 12 |
| 18.404 | Theory of Computation 1 | 12 |
| 1 | Subject has prerequisites that are outside the program. |
