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:
- 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