神經語言學專題研究 Neurolinguistics Seminar
神經語言學專題研究 Neurolinguistics Seminar
The syllabuses on both this page and the NTU online course information are synchronized.
Course Information
| Item | Content |
| Course title | Neurolinguistics Seminar |
| Semester | 111-2 |
| Designated for |
PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE GRADUATE INSTITUTE OF LINGUISTICS |
| Instructor | CHIA-LIN LEE |
| Curriculum No. | LING 7430 |
| Curriculum Id No. | 142 M1180 |
| Class | |
| Credit | 3 |
| Full/Half Yr. | Half |
| Required/Elective | Elective |
| Time | |
| Place | |
| Remarks | Not open in course pre-registration period。、 JOSHUA GOH OON SOO合授 |
Course Syllabus
| Item | Content |
| Course Description | IMPORTANT!!!! COURSE ORIENTATION WILL BE CONDUCTED ONLINE/PHYSICAL (HYBRID) ON THE FIRST CLASS DAY 2023/02/23 (THUR) IN NTU COLLEGE OF MEDICINE RM 1203 AT 12:00PM. FOR THOSE JOINING ONLINE, PLEASE USE THIS LINK AT THAT TIME: https://meet.google.com/ngs-nbhh-dgd This course will use the following web site: https://brainhackschool-taiwan.github.io/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *****!!!!This course will be conducted in a form of a Hackathon!!!!**** This year, this course focuses on advanced data preprocessing and analytical techniques for human brain neurophysiological data including electroencephalography/event-related potentials (EEG/ERP), magnetoencephalography (MEG), and structural/functional magnetic resonance imaging (MRI). These include using Python to analyze brain data, latest conventions and practices in the field, latest advanced approaches in the field such as functional connectivity, data-mining, modeling, etc. This will be a good platform for those in data analytics interested in working with cognitive neuroscience data, and those in cognitive neurosciences seeking to learn data analytic tools. The course will be conducted in conjunction with BrainHack School (https://school.brainhackmtl.org/). We will use a format that combines self-study via online modules and Teaching Assistant (TA) advising. TAs will be from local (Taiwan) as well as international locations (as listed in the BrainHack School website), who come with various interdisciplinary perspectives. Course students will explore relevant topics in interaction with TAs from various backgrounds in order to conduct a practical project. Student project topics will be determined jointly with the TAs who will provide advice on what are feasible/meaningful goals. We are highly flexible on project topics as long as they are geared to either let students learn new techniques or to complete a real scientific research analysis of extant data within the course time frame. Students will need to submit a project report in the form of a webpage and a recorded video presentation, which will be the basis of the course grade. From 20th Feb 2023 to 7th May 2023, students will self-study the online modules. TAs will be available for Q/A regarding the module content and project discussions mostly locally. The time schedule will be flexible and self-paced as TAs and students are available. Between 8th May 2023 to 4th June 2023, this course will join the BrainHack School schedule via Discord. This will still have flexible schedule, but with more structured weekly goals (see Progress below) and interactions. During this period, we expect students and TAs to engage with each other about modules and projects at least approximately 3 hrs every other day. International TAs will also more available pending time-difference allowances. The last week will be for formal submisions of project webpages and presentations. We are in the midst of coordinating TA, module, website details. The above BrainHack School url is from previous years as an example. This NTU COOL syllabus will be regularly updated as more information becomes available. Be sure to check in every few days. We will conduct a course orientation sometime during the first week of the semester between 20 (MON) - 24 (FRI) Feb 2023. The exact time/date/format will be detailed closer to semester start. It is recommended to check this syllabus again for the latest information at least on 19 Feb 2023. |
| Course Objective | (A) To learn advanced data preprocessing and analytical techniques for working with human brain neurophysiological data including electroencephalography/event-related potentials (EEG/ERP), structural/functional magnetic resonance imaging (MRI). (B) To try out techniques in a practical application project. |
| Course Requirement | We have no hard restrictions, but backgrounds in cognitive neuroscience and coding are strongly recommended. Alternatively, you must have a strong independent motivational capacity to self-learn and acquire the necessary sufficent background to conduct a simple relevant project. |
| Student Workload (expected study time outside of class per week) | 6 hrs/week |
| References | https://school.brainhackmtl.org/ |
| Designated Reading | https://school.brainhackmtl.org/ |
Progress
| Week | Date | Topic |
| Week 1-16 | This course will use the following web site: https://brainhackschool-taiwan.github.io/ |
Grading
| NO | Item | Pc | Explanations for the conditions |
| 1 | 1 | 100% | This course will use the following web site: https://brainhackschool-taiwan.github.io/ |
Adjustment methods for students
| Adjustment method | |
| Teaching methods | Assisted by recording, Assisted by video, Provide students with flexible ways of attending courses |
| Assignment submission methods | Extension of the deadline for submitting assignments |
| Exam methods | Final exam date postponement |
| Others | Negotiated by both teachers and students |
Office Hour
| Remarks | None |