Certificate in Neurotechnology Innovation
Offered by: Faculty of Science
Coordinator: Dr. Aaron Newman, Department of Psychology and Neuroscience (aaron.newman@dal.ca)
Overview Neurotechnology is an area of research and application involving technologies that measure and/or modulate brain function. Technologies include hardware, software, and drugs, and have applications in several areas including clinical diagnosis and treatment, health promotion and maintenance (including cognitive health), entertainment, and forensics. The undergraduate certificate in Neurotechnology Innovation is designed to provide foundational knowledge in this multi-disciplinary area. The certificate will also provide an understanding of how neurotechnologies can be translated into applications that are available to patients and consumers - through training in innovation, design, and commercialization. The Neurotechnology Innovation certificate provides students with knowledge in:
- Basic neuroscience
- Neurotechnology
- Clinical and cognitive neuroscience
- Computer science
- Entrepreneurship
- Innovation and product design
- Intellectual property
For more information on this certificate see http://www.dal.ca/faculty/science/programs/diploma-certificate-programs/neurotechnology-certificate.html
Eligibility The Certificate is oriented toward undergraduate students majoring in Neuroscience, but is open to students in other programs. Students from outside the Faculty of Science (Arts & Social Sciences, Computer Science, Engineering, Management) are welcome, but should consult with an advisor from their home program prior to enrolling.
Admission To enrol in the Certificate in Neurotechnology Innovation, students must declare the certificate through Dal Online (https://dalonline.dal.ca > Web for Students > Admissions > Declare Major/Minor/Certificate), and notify the Certificate Coordinator.
To graduate with the Certificate, students must apply to Graduate with a Certificate at the time they apply to graduate from their degree program.
Certificate Requirements
1. NESC 2470.03: Systems Neuroscience
2. CSCI 1105.03: Introduction to Programming or CSCI 1110.03: Introduction to Computer Science or CSCI 2202.03: Computer Modelling for Scientists or CSCI 2203.03: Data Science for Everyone or PHYC 2050.03: Computer Simulations in Science.
3. SCIE 4701.03 and SCIE 4702.03: Neurotechnology Innovation, Commercialization, and Entrepreneurship I AND II
- Note that these two courses must be taken consecutively in the same academic year.
4. Six (6) credit hours selected from the lists below, with at least three credit hours (one course) from each category.
A. Neuroscience/Neurotechnology
B. Computer Science/Informatics
- CSCI 1107.03: Social Computing
- CSCI 1108.03: Experimental Robotics
- CSCI 1110.03: Introduction to Computer Science (if not used to satisfy Requirement 2 above)
- CSCI 1120.03: Introduction to Computer Systems
- CSCI 2110.03: Data Structures and Algorithms
- CSCI 2132.03: Software Development
- CSCI 2141.03: Intro to Database Systems
- CSCI 2202.03: Computer Modelling for Scientists (if not used for Requirement 2 above)
- CSCI 2203.03: Data Science for Everyone (if not used for Requirement 2 above)
Notes on the Computer Science course options:
• CSCI 1105.03 and 1110.03 are mutually-exclusive options for an introductory computer science class. You should take CSCI 1105 if you have no prior computer programming/coding experience, or CSCI 1110 if you have previous programming experience (e.g., a past high school or university class in programming, or independent programming experience). Students with some programming experience who are unsure which class to register for, should consult with an advisor in the Computer Science program.
• CSCI 2202.03 Computer Modelling for Scientists and CSCI 2203.03 Data Science for Everyone have no prerequisites, and does not assume prior programming experience. If you choose to take CSCI 2202.03 first, you should not take CSCI 1105.03 after, as the content will be redundant. However, taking both CSCI 2202.03 and CSCI 1110.03 in either order is acceptable.