COURSE FEATURE

• Hours Wednesday & Fridays 11:45 AM – 1:25 PM
•  Location International Village 022

CLASS DESCRIPTION

Special Topics: Machine Learning with Small Data (EECE 7398)
This course addresses the challenge of machine learning (ML) in the context of small datasets, a significant issue due to ML’s increasing data demands. Despite ML’s success in various fields, many areas can’t provide large labeled datasets because of costs, privacy, or security laws. As big data becomes standard, efficiently learning from smaller datasets is crucial. This course, ideal for Northeastern students with some ML experience, focuses on modern deep learning techniques for small data applications relevant in healthcare, military, and industry. Prerequisites include ML familiarity and Python proficiency. Deep learning experience is not necessary but beneficial.

Levels: Gradut
Schedule Types: Lecture

Prerequisites: 
Introduction to Machine Learning and Pattern Recognition (EECE 5644)

4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
•  Hours Tuesdays & Fridays 9:45 AM – 11:30 AM
•  Location Richards Hall 165

CLASS DESCRIPTION

EECE 4512 – Healthcare Technologies: Sensors, Systems, and Analysis
Examines healthcare technologies using both theory and hands-on approaches. Covers the physics and physiology behind the newly-defined concept of digital biomarkers, the electronics needed to collect these biomarkers, and analysis techniques for processing and interpreting the data. Invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection are covered. In addition, examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. In the hands-on labs, students have an opportunity to follow the steps of creating a startup or conducting new research and assemble a microcontroller-based sensor system for collecting digital biomarkers. Testing, imaging, and data collection are essential tools medical specialists use to treat patients, and the primary contribution of engineers to healthcare.

Levels: Undergraduate
Schedule Types: Lecture

Prerequisites: 
Undergraduate level EECE 2210 Minimum Grade of D- or Undergraduate level EECE 2412 Minimum Grade of D- or Undergraduate level BIOE 3210 Minimum Grade of D-

4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Linear System Theory and Design” (The Oxford Series in Electrical and Computer Engineering) 4th Edition by Chi-Tsong Chen
•  Hours Tuesday’s 11:45 am – 1:25 pm Thursday’s 2:50 pm – 4:30 pm
•  Course LocationRichards Hall 254

CLASS DESCRIPTION

Covers fundamental algebraic concepts and algebraic structures. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Prereq. Engineering students only.
4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
•  Hours Tuesdays & Fridays 9:45 AM – 11:30 AM
•  Location Richards Hall 165

CLASS DESCRIPTION

EECE 4512 – Healthcare Technologies: Sensors, Systems, and Analysis
Examines healthcare technologies using both theory and hands-on approaches. Covers the physics and physiology behind the newly-defined concept of digital biomarkers, the electronics needed to collect these biomarkers, and analysis techniques for processing and interpreting the data. Invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection are covered. In addition, examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. In the hands-on labs, students have an opportunity to follow the steps of creating a startup or conducting new research and assemble a microcontroller-based sensor system for collecting digital biomarkers. Testing, imaging, and data collection are essential tools medical specialists use to treat patients, and the primary contribution of engineers to healthcare.

Levels: Undergraduate
Schedule Types: Lecture

Prerequisites: 
Undergraduate level EECE 2210 Minimum Grade of D- or Undergraduate level EECE 2412 Minimum Grade of D- or Undergraduate level BIOE 3210 Minimum Grade of D-

4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook\”Linear System Theory and Design\” (The Oxford Series in Electrical and Computer Engineering) 4th Edition by Chi-Tsong Chen
•  HoursTuesday’s 11:45 am – 1:25 pm Thursday’s 2:50 pm – 4:30 pm
•  Course LocationRichards Hall 254

CLASS DESCRIPTION

Covers fundamental algebraic concepts and algebraic structures. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Prereq. Engineering students only.
4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
•  Hours Tuesdays & Fridays 9:45 AM – 11:30 AM
•  Location Richards Hall 165

CLASS DESCRIPTION

EECE 4512 – Healthcare Technologies: Sensors, Systems, and Analysis
Examines healthcare technologies using both theory and hands-on approaches. Covers the physics and physiology behind the newly-defined concept of digital biomarkers, the electronics needed to collect these biomarkers, and analysis techniques for processing and interpreting the data. Invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection are covered. In addition, examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. In the hands-on labs, students have an opportunity to follow the steps of creating a startup or conducting new research and assemble a microcontroller-based sensor system for collecting digital biomarkers. Testing, imaging, and data collection are essential tools medical specialists use to treat patients, and the primary contribution of engineers to healthcare.

Levels: Undergraduate
Schedule Types: Lecture

Prerequisites: 
Undergraduate level EECE 2210 Minimum Grade of D- or Undergraduate level EECE 2412 Minimum Grade of D- or Undergraduate level BIOE 3210 Minimum Grade of D-

4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Linear System Theory and Design” (The Oxford Series in Electrical and Computer Engineering) 4th Edition by Chi-Tsong Chen
•  Hours Tuesday’s 11:45 am – 1:25 pm Thursday’s 2:50 pm – 4:30 pm
•  Course LocationRichards Hall 254

CLASS DESCRIPTION

Covers fundamental algebraic concepts and algebraic structures. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Prereq. Engineering students only.
4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Linear System Theory and Design” (The Oxford Series in Electrical and Computer Engineering) 4th Edition by Chi-Tsong Chen
•  Hours Tuesday’s 11:45 am – 1:25 pm Thursday’s 2:50 pm – 4:30 pm
•  Course LocationRichards Hall 254

CLASS DESCRIPTION

Covers fundamental algebraic concepts and algebraic structures. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Prereq. Engineering students only.
4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
•  Hours Tuesdays & Fridays 9:45 AM – 11:30 AM
•  Location Richards Hall 165

CLASS DESCRIPTION

EECE 4512 – Healthcare Technologies: Sensors, Systems, and Analysis
Examines healthcare technologies using both theory and hands-on approaches. Covers the physics and physiology behind the newly-defined concept of digital biomarkers, the electronics needed to collect these biomarkers, and analysis techniques for processing and interpreting the data. Invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection are covered. In addition, examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. In the hands-on labs, students have an opportunity to follow the steps of creating a startup or conducting new research and assemble a microcontroller-based sensor system for collecting digital biomarkers. Testing, imaging, and data collection are essential tools medical specialists use to treat patients, and the primary contribution of engineers to healthcare.

Levels: Undergraduate
Schedule Types: Lecture

Prerequisites: 
Undergraduate level EECE 2210 Minimum Grade of D- or Undergraduate level EECE 2412 Minimum Grade of D- or Undergraduate level BIOE 3210 Minimum Grade of D-

4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

•  Textbook “Linear System Theory and Design” (The Oxford Series in Electrical and Computer Engineering) 4th Edition by Chi-Tsong Chen
•  Hours Tuesday’s 11:45 am – 1:25 pm Thursday’s 2:50 pm – 4:30 pm
•  Course LocationRichards Hall 254

CLASS DESCRIPTION

Covers fundamental algebraic concepts and algebraic structures. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Prereq. Engineering students only.
4.000 Credit hours
4.000 Lecture hours

COURSE FEATURE

CLASS DESCRIPTION

EECE 4512 Biomedical Electronics
Course Description: Testing, imaging, and data collection are essential tools medical specialists use to treat patients, and the primary contribution of engineers to healthcare. This course examines biomedical electronics using both theory and hands-on approaches. It covers the physiology behind the physiological signals, the electronics needed to collect the biosignals, and analysis techniques for processing and interpreting the data. Invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection are covered. In addition, we look at safety issues, ethics and regulatory hurdles from both an industry and research perspective. In the hands-on labs, students will follow the steps of creating a startup or conducting new research and assemble a microcontroller-based sensor system for collecting body signals. This is a fast-paced introduction to the cutting-edge field of biomedical electronics. If you are interested in using engineering for healthcare or biomedical research, this is a great course for you.

Prerequisites: Undergraduate level EECE 2210 Minimum Grade of D- or Undergraduate level EECE 2412 Minimum Grade of D- or Undergraduate level BIOE 3210 Minimum Grade of D-
4.000 Credit hours
4.000 Lecture hours