Courses

All students must take six courses, including three core courses and three electives. To qualify for the certificate, a minimum grade average of B- in the six program courses is required. Program courses may not be taken on a pass/D/fail basis, unless that is the only grading alternative for the course. However, all courses taken on a pass/D/fail basis during Spring 2020, Fall 2020, or Spring 2021 will be accepted for the program. Courses may simultaneously fulfill both certificate program requirements and regular departmental requirements.

Control Systems - One Course:

MAE 345 / COS 346 / ECE 345 - Introduction to Robotics
ECE 346 / COS 347 / MAE 346 - Intelligent Robotic Systems
MAE 433 - Automatic Control Systems
MAE 434 - Modern Control

Laboratory - One Course:

ECE 206 / COS 306 - Contemporary Logic Design
ECE 302 - Robotic and Autonomous Systems Lab
MAE 224 - Integrated Engineering Science Laboratory
PHY 210 - Experimental Physics Seminar
CEE 374 / STC 374 - Autonomous Fabrication and Robotics

Cognition, Language, and Decision Making - One Course:

MUS 248 / PSY 248 - Music Cognition
NEU 201 / PSY 258 - Fundamentals of Neuroscience
NEU 202 / PSY 259 - Introduction to Cognitive Neuroscience
NEU 330 / PSY 330 - Computational Modeling of Psychological Function
NEU 422 / PSY 422 - Dynamics in Cognition
PSY 255 / CGS 255 - Cognitive Psychology
PSY 316 / NEU 316 - The Cognitive Neuroscience of Selective Attention
PSY 337 / NEU 337 - Neuroscience of Social Cognition and Emotion
PSY 345 / NEU 325 - Sensation and Perception
PSY 360 / COS 360: Computational Models of Cognition
PSY 409 - Cyborg Psychology
PSY 454 / COS 454 - Probabilistic Models of Cognition
SPI 340 / PSY 321 - The Psychology of Decision Making and Judgment

Electives - Three Courses, Maximum of Two from Any Department:

Any of the courses under the control, laboratory, or cognition categories may be counted as electives if they are not being used to satisfy a core program requirement. Additional approved electives are:
ARC 374 - Computational Thinking for Design, Architecture, and Engineering
ARC 380 - Introduction to Robotics for Digital Fabrication
CBE 442 - Design, Synthesis, and Optimization of Chemical Processes
CBE 447 - Metabolic Engineering
CEE 361 / MAE 325 - Matrix Structural Analysis and Introduction to Finite-Element Methods
COS 217 - Introduction to Programming Systems
COS 226 - Algorithms and Data Structures
COS 324 - Introduction to Machine Learning
COS 333 - Advanced Programming Techniques
COS 340 - Reasoning about Computation
COS 350: Ethics of Computing
COS 402 - Artificial Intelligence
COS 424 / SML 302 - Fundamentals of Machine Learning
COS 426 - Computer Graphics
COS 429 - Computer Vision
COS 461 - Computer Networks
ECE 201 - Information Signals
ECE 302 - Building Real Systems
ECE 381 - Networks: Friends, Money, and Bytes
ECE 482 - Digital Signal Processing
ECE 486 - Transmission and Compression of Information
ECO 202 - Statistics and Data Analysis for Economics
MAE 206 - Introduction to Engineering Dynamics
MAE 321 - Engineering Design
MAE 322 - Mechanical Design
MAE 331 - Aircraft Flight Dynamics
MAE 332 - Aircraft Design
MAE 341 - Space Flight
MAE 342 - Space System Design
MAE 412 - Microprocessors for Measurement and Control
ORF 245 / EGR 245 - Fundamentals of Engineering Statistics
ORF 307 / EGR 307 - Optimization
ORF 309 / EGR 309 / MAT 309 - Probability and Stochastic Systems
ORF 311 - Stochastic Optimization and Machine Learning in Finance
ORF 350 - Analysis of Big Data
ORF 363 / COS 323 - Computing and Optimization for the Physical and Social Sciences
ORF 405 - Regression and Applied Time Series
ORF 467 - Transportation System Analysis
PHI 207 - Introduction to Philosophy of Cognitive Science
PSY 309 / LIN 309 - The Psychology of Language
PSY 345 / NEU 325 - Sensation and Perception
PSY 422 / NEU 422 - Dynamics in Cognition
PSY 475 / ENE 475 - Human Factors 2.0-Psychology for Engineering, Energy, and Environmental Decisions
SPI 365: Tech Ethics