Teaching @ NEU

Courses Taught at Northeastern University since Fall 2015 by Prof. Sarah Ostadabbas:

Healthcare Technologies: Sensors, Systems, and Analysis – Starts from:Fri, January 13, 2023
COURSE FEATURE
  •  Textbook“Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
  •  HoursTuesdays & Fridays 9:45 AM – 11:30 AM
  •  LocationRichards 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

LINEAR SYSTEMS ANALYSIS – Starts from:Tue, September 13, 2022
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

Healthcare Technologies: Sensors, Systems, and Analysis – Starts from:January 18, 2022
COURSE FEATURE
  •  Textbook“Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
  •  HoursTuesdays & Fridays 9:45 AM – 11:30 AM
  •  LocationRichards 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

LINEAR SYSTEMS ANALYSIS – Starts from:September 8, 2021
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

Healthcare Technologies: Sensors, Systems, and Analysis – Starts from:January 19, 2021
COURSE FEATURE
  •  Textbook“Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
  •  HoursTuesdays & Fridays 9:45 AM – 11:30 AM
  •  LocationRichards 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

LINEAR SYSTEMS ANALYSIS – Starts from:September 8, 2020
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

LINEAR SYSTEMS ANALYSIS – Starts from:September 5, 2019
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

Healthcare Technologies: Sensors, Systems, and Analysis – Starts from:January 7, 2019
COURSE FEATURE
  •  Textbook“Medical Instrumentation: Application and Design” John G. Webster 4th Edition (3rd edition is also fine).
  •  HoursTuesdays & Fridays 9:45 AM – 11:30 AM
  •  LocationRichards 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

LINEAR SYSTEMS ANALYSIS – Starts from:September 6, 2018
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

Biomedical Electronics – Starts from:January 11, 2018
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