FUNDAMENTALS of NEUROENGINEERING

AIM

The aim of this course is to introduce the fundamentals of biomedical device design and evaluate the intstrumentation requirements of biomedical devices.

CONTENT

This course contains; ,,,,,,,,,,,,,.

1. 1

   Evaluates the principles of coding information in the sensorimotor cortex.

   Taught by: Discussion Method, Case Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

2. 2

   Analyzes and evaluates neural data recorded in the laboratory.

   Taught by: Discussion Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Project Task

3. 3

   Identifies the source of biopotential signals.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Project Task

4. 4

   Defines key concepts related to sensorimotor control and learning.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Role Play and Drama Technique, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

5. 5

   It identifies the problems of current neuroprosthesis technologies and suggests solutions for these problems.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Flipped Classroom Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

6. 6

   Performs experiments using neuroengineering research hardware and software.

   Taught by: Discussion Method, Demonstration Method, Case Study Method, Self Study Method, Role Play and Drama Technique, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Simulation Technique, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

7. 7

   İdentifies the instrumentation requirements for electrophysiological studies.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Simulation Technique, Computer-Internet Supported Instruction, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

8. 8

   Evaluates biotic/abiotic characteristics of neural probes.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Simulation Technique, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

9. 9

   Utilizes and evaluates neural decoding algorithms.

   Taught by: Discussion Method, Case Study Method, Self Study Method, Question - Answer Technique, Experimental Technique, Brainstorming Technique, Project Based Learning Model, Simulation Technique, Computer-Internet Supported Instruction, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

WEEKLY PLAN

1. WEEK 1

2. WEEK 2

3. WEEK 3

4. WEEK 4

5. WEEK 5

6. WEEK 6

7. WEEK 7

8. WEEK 8

9. WEEK 9

10. WEEK 10

11. WEEK 11

12. WEEK 12

13. WEEK 13

14. WEEK 14

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• A. Y. K. Chan, Biomedical Device Technology: Principles and Design, 3rd Edition, February 2, 2023, Charles C Thomas Pub Ltd, ISBN: 978-0398093921

TEACHING STAFF

• Assist.Prof. Mehmet KOCATÜRKCOORDINATOR
• Assist.Prof. Mehmet KOCATÜRK