Course Syllabus
Contact Information
Course Details
Machine Learning for Data Science provides a broad overview of widely accepted and state-of-the-art machine learning approaches to automatically extract information from a variety of data types. This course will include conceptual background on data, methods, and application approaches; coverage of issues of data security, privacy, and ethics related to machine learning; and practical, hands-on exercises.
Course Expectations
You are expected to view all videos and complete all reading assignments. Also, you will be expected to participate in online discussions and attempt all Self-Check Quizzes.
Professional Behavior
While many of the tools necessary for the completion of this course will be discussed in the course content or via guided assignments, nevertheless considerable work outside of class in learning programming tools or researching analytical techniques is expected.
Course Prerequisites
CS 1213 or CS 1313 or CS 1321 or CS 1323 or CS 1324
Course Materials
No textbook is required for this course.
Grades
Breakdown
| Activity | Description | Percentage |
|---|---|---|
| Homework | There will be 2. Each will ask you to apply various aspects of coding. | 25% |
| Participation | Based on homework, etc. Nothing to submit. | 5% |
| Project | One large project asking students to apply a broad understanding of machine learning. | 35% |
| Mid-term Exams (2) | All essay/short answer questions. Two exams. | 20% |
| Final Exam | All essay/short answer questions. | 15% |
| Total | 100% |
Scale
Coursework will consist of quizzes, homework, exams, and a semester project. I do not rely on Canvas for final grade calculations and neither should you. All grades are calculated off-line according to the structure defined below and traditional letter grade cut-offs (>=90% is A; >=80% is; B>=70% is C; >=60% is D; <60% is F)
Course Components
Homework
There will be two homework assignments, each will be submitted in a similar format:
1. The coding components are based on Python. You can submit the code as jupyter notebook but not required (.py file is also acceptable)
2. Comment your code! Not necessarily for every single line but comments should indicate what each section of codes does.
3. Submit your homework solution as a zip file containing the main description file and codes you used.
Project
There will be one project, which will ask you to submit in a similar fashion to the homework assignments:
1. The coding components are based on Python. You can submit the code as jupyter notebook but not required (.py file is also acceptable)
2. Comment your code! Not necessarily for every single line but comments should indicate what each section of codes does.
3. Submit your homework solution as a zip file containing the main description file and codes you used.
Even though the project asks for a similar submission format as the homework, it will require more time and knowledge of coding.
Mid-term Exams
There will be midterm exams covering the various topics we have covered till that point.
Final Exam
There is one final exam. All exams are set up in a similar fashion.
Course Policies
Communication
E-mail communication is the primary method with me in this course. I will respond to students’ e-mails within 48 hours or sooner. To ensure a prompt response, please put “DSA 3013” in your e-mail subject line as a prefix. For example, your subject line could be: DSA 3013: Question about Assignment.
Tech Support: If you cannot access canvas.ou.edu, please contact 405-325-HELP
Late Policy
Make-up homework, exams and quizzes will only be permitted for officially documented absences. All documented absences due to religious observances and officially approved trips will be guaranteed a make-up opportunity. Absences due to other unavoidable reasons (e.g., death in the family, illness) will be considered on a case-by-case basis, with appropriate documentation required. Except in the case of an emergency, the student must always seek instructor consent prior to the absence. If an emergency, you must contact the instructor as soon as feasibly possible. Make-up work will be scheduled at the discretion of the instructor and might occur before the scheduled absence. Typically, make-up work will be scheduled as close to the original assignment date as possible.
University Academic Policies and Student Support
Course Catalog
Search the OU Course Catalog.
Student Handbook
Please familiarize yourself with the OU Student Handbook.
Online Library
Access digital materials and other resources at OU Libraries.
Academic Misconduct
In addition to the course conduct policies outlined by your professor in the Course Syllabus in the online classroom, please review the Graduate Student Handbook.
It is the responsibility of each student to be familiar with the definitions, policies, and procedures concerning academic misconduct. The Student Code is available from the Office of the Vice President for Student Affairs, and is contained in the Student's Guide to Academic Integrity.
This site also defines misconduct, provides examples of prohibited conduct, and explains the sanctions available for those found guilty of misconduct.
Plagiarism
Plagiarism is the most common form of academic misconduct at OU. There is basically no college-level assignment that can be satisfactorily completed by copying. OU's basic assumption about writing is that all written assignments show the student's own understanding in the student's own words. That means all writing assignments, in class or out, are assumed to be composed entirely of words generated (not simply found) by the student, except where words written by someone else are specifically marked as such with proper citation. Including other people's words in your paper is helpful when you do it honestly and correctly. When you don't, it's plagiarism.
For more information about plagiarism, watch this video and then take this short course offered by University Libraries.
Reasonable Accommodation for Disabilities
The University of Oklahoma is committed to providing reasonable accommodation for all students with disabilities. Students with disabilities who require accommodations in this course should contact their professor as early in the semester as possible.
Students with disabilities must be registered with the Disability Resource Center prior to receiving accommodations in this course.
If you have a disability and you would like to make a request for reasonable accommodation, please see the Graduate Student Handbook or get in touch with the Accessibility and Disability Resource Center.
Adjustments for Pregnancy/Childbirth Related Issues
Should you need modifications or adjustments to your course requirements because of documented pregnancy-related or childbirth-related issues, please contact me as soon as possible to discuss your options. Generally, modifications will be made where medically necessary and similar in scope to accommodations based on temporary disability. Learn more about the rights of pregnant and parenting students by consulting the FAQ sheets provided by the Institutional Equity Office.
Title IX Resources
For any concerns regarding gender-based discrimination, sexual harassment, sexual misconduct, stalking, or intimate partner violence, the University offers a variety of resources, including advocates on-call 24/7, counseling services, mutual no contact orders, scheduling adjustments, and disciplinary sanctions against the perpetrator. Please contact the Sexual Misconduct Office at 405-325-2215 (8-5, M-F) or OU Advocates at 405-615-0013 (24/7) to learn more or to report an incident.
Religious Holidays
It is the policy of the University to excuse absences of students that result from religious observances and to provide for the rescheduling of examinations and additional required classwork that may fall on religious holidays without penalty. It is the responsibility of the student to make alternate arrangements with the instructor at least one week prior to the actual date of the religious holiday.
Copyright Policy
It is illegal to download, upload, reproduce, or distribute any copyrighted material, in any form and in any fashion, without permission from the copyright holder or his/her authorized agent. The University of Oklahoma expects all members of its community to comply fully with federal copyright laws. If such laws appear to have been violated by any user, the university reserves the right (1) to terminate that user’s access to some or all of the university’s computer systems and information resources and (2) to take additional disciplinary actions as deemed necessary or appropriate. Repeat offenders will be sanctioned and their privileges terminated.
Registration and Withdrawal
If you choose to withdraw from this course, you must complete the appropriate University form and turn the form in before the deadline. If you stop attending the course and doing the coursework without doing the required paperwork, your grade will be calculated with missed homework and examination grades entered as zero. This could result in receiving a grade of F in the course. Deadlines are shown in the Academic Calendar, which is available from the Office of the Registrar.
Student Grievances
In addition to any policies outlined related to submitting an informal or formal grievance by your professor in the Course Syllabus in the online classroom, please review the Graduate Student Handbook for more information about the process of submitting a formal grievance.
Course Summary:
| Date | Details | Due |
|---|---|---|