liginthomasck/ndap-fa2018

neuro data analysis in python

Neuro Data Analysis in Python - Syllabus

• Course: NEU 337 (55000) Neuro Data Analysis in Python
• Semester: Fall 2018
• Location: PHR 2.116
• Time: MWF 11:00AM - 12:00PM

Instructor Contact Information

• Alexander Huth
• office hours: Mon 1:30-3:00pm, Wed 1:30-3:00pm
• office: NHB 3.134
• email: [email protected]

Course Description

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

Format and Procedures

The majority of the course will consist of lectures by the professor.

How to Succeed in this Course

Read the course materials. Ask questions if any topics are unclear. Be respectful of each other and the instructor. Have fun! :)

Course Requirements

Syllabus and Text

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:

• https://www.inferentialthinking.com/
• https://jakevdp.github.io/PythonDataScienceHandbook/

Additional required readings will be made available for download from this repository.

Exams and Assignments

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.

Course Grade

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.

Course Policies & Resources

Late Homework & Extension Policy

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.

Academic Honor Code

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.

Notice about missed work due to religious holy days

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.

Q Drop Policy

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

Student Accommodations

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

University Resources for Students

The Sanger Learning Center

Did you know that more than one-third of UT undergraduate students use the Sanger Learning Center each year to improve their academic performance? All students are welcome to take advantage of Sanger Center’s classes and workshops, private learning specialist appointments, peer academic coaching, and tutoring for more than 70 courses in 15 different subject areas. For more information, please visit http://www.utexas.edu/ugs/slc or call 512-471-3614 (JES A332).

The University Writing Center

The University Writing Center offers free, individualized, expert help with writing for any UT student, by appointment or on a drop-in basis. Consultants help students develop strategies to improve their writing. The assistance we provide is intended to foster students’ resourcefulness and self-reliance. http://uwc.utexas.edu/

Counseling and Mental Health Center

The Counseling and Mental Health Center (CMHC) provides counseling, psychiatric, consultation, and prevention services that facilitate students' academic and life goals and enhance their personal growth and well-being. http://cmhc.utexas.edu/

Student Emergency Services

http://deanofstudents.utexas.edu/emergency/

Important Safety Information

BCAL

If you have concerns about the safety or behavior of fellow students, TAs or Professors, call BCAL (the Behavior Concerns Advice Line): 512-232-5050. Your call can be anonymous. If something doesn’t feel right – it probably isn’t. Trust your instincts and share your concerns.