- Course: NEU 337 (55000) Neuro Data Analysis in Python
- Semester: Fall 2018
- Location: PHR 2.116
- Time: MWF 11:00AM - 12:00PM
- Alexander Huth
- office hours: Mon 1:30-3:00pm, Wed 1:30-3:00pm
- office: NHB 3.134
- email: [email protected]
Topics:
- Version control (git)
- Programming in python (basic data types, etc.)
- Visualization (matplotlib)
- Basic probability theory
- Sampling & probability distributions
- Hypothesis testing
- Confidence intervals & bootstraps
- Regression
- Classification
- Clustering
The majority of the course will consist of lectures by the professor.
Read the course materials. Ask questions if any topics are unclear. Be respectful of each other and the instructor. Have fun! :)
This page serves as the syllabus for this course. This syllabus is subject to change; students who miss class are responsible for learning about any changes to the syllabus.
The course has two textbooks, both of which are online and free:
Additional required readings will be made available for download from this repository.
There will be a take-home, open book final exam. There will be no midterm exam.
There will be 7 homework assignments. Assignments will be posted as the semester progresses.
There are several components to the class grade.
- Homeworks (60%): There will be 7 homework assignments. Each assignment is worth ~8.6% of your grade.
- Final exam (30%): There will be a take-home open book final exam.
- Class participation (10%): Showing up for class, demonstrating preparedness (i.e., doing the readings), and contributing to class discussions. Attendance is required.
Problem sets will be returned with feedback less than 2 weeks after the due date.
Homework is due by the start of class on the noted due date. Homework must be turned in on the due date in order to receive full credit. Homework turned in less than 1 week late will be accepted but the score will be penalized by 10%. Homework later than 1 week will not be accepted.
Late homework will also be accepted under exceptional circumstances (e.g., medical or family emergency) and at the discretion of the instructor (e.g. exceptional denotes a rare event) with no penalty. This policy allowing for exceptional circumstances is not a right, but a privilege and courtesy to be used when needed and not abused. Should you encounter such circumstances, simply email assignment to instructor and note "late submission due to exceptional circumstances". You do not need to provide any further justification or personally revealing information regarding the details.
You are encouraged to discuss problem sets with classmates, but all written submissions must reflect your own, original work. If you worked with other students on a problem set, please include their names in a statement like "I worked on this course with XX and YY" on the assignment. If in doubt, ask the instructor. Acts like plagiarism represent a serious violation of UT's Honor Code and standards of conduct:
http://deanofstudents.utexas.edu/sjs/scholdis_plagiarism.php
http://deanofstudents.utexas.edu/sjs/conduct.php
Students who violate University rules on academic dishonesty are subject to severe disciplinary penalties, such as automatically failing the course and potentially being dismissed from the University. Don't risk it. Honor code violations ultimately harm yourself as well as other students, and the integrity of the University, policies on academic honesty will be strictly enforced.
For further information please visit the Student Judicial Services Web site: http://deanofstudents.utexas.edu/sjs.
By UT Austin policy, you must notify the instructor of your pending absence at least fourteen days prior to the date of observance of a religious holy day. If you must miss a class, an examination, a work assignment, or a project in order to observe a religious holy day, I will give you an opportunity to complete the missed work within a reasonable time after the absence.
If you want to drop a class after the 12th class day, you’ll need to execute a Q drop before the Q-drop deadline, which typically occurs near the middle of the semester. Under Texas law, you are only allowed six Q drops while you are in college at any public Texas institution. For more information, see: http://www.utexas.edu/ugs/csacc/academic/adddrop/qdrop
Students with a documented disability may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities, 512-471-6259 (voice) or 1-866-329-3986 (video phone). http://ddce.utexas.edu/disability/about/
- Please request a meeting as soon as possible to discuss any accommodations
- Please notify me as soon as possible if the material being presented in class is not accessible
- Please notify me if any of the physical space is difficult for you
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