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Digital Systems Testing and Testable Design

The course “Digital Systems Testing and Testable Design” (18-765) is one of the ECE Department's core curriculum of graduate-level CAD courses in manufacturing, logic design, circuit layout, and simulation, and is the first-ever course on testing to be offered on-line to remote students. It covers all topics related to the testing of complex digital systems. Enrolled students complete homework and programming assignments, quizzes, utilize academic and industrial CAD tools, and engage in semester-long mini projects that range from implementing test-related CAD tools to developing testing methodologies for state-of-the-art integrated systems.

Hardware Arithmetic for Machine Learning

All modern digital systems contain fast, complex computational circuits. The theory for designing and analyzing the properties of these circuits is presented in “Digital Computation” (18-340), an undergraduate-level course that describes this important class of circuits. This course explores and develops techniques for designing high-performance digital circuits for computation along with methods for evaluating their design attributes that includes power consumption, design and manufacturing cost, timing, and verifiability.

Summer Academy for Math and Science 

The Summer Academy for Math and Science (SAMS) is a six-week residential program offered at Carnegie Mellon University for rising high school seniors. This highly selective program allows students to engage in comprehensive and rigorous programming aimed to support their academic, social and personal growth. SAMS Scholars develop depth and breadth in STEM-related disciplines via classroom instruction, project-based learning and meta-curricular experiences.

Advanced   Chip   
Test  Laboratory.

The Advanced Chip Test Laboratory (ACTL) at Carnegie Mellon University develops and implements data-mining techniques for improving the security, operation, design, manufacturing and testing of integrated systems. Our research involves data-mining algorithm development, data analysis, chip design, testing and diagnosis in collaboration with various industrial partners that currently include Google, Broadcom, Qualcomm, GlobalFoundries and Apple. The founder and head of ACTL is Prof. Shawn Blanton.

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