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Instructor Dr. Ami Gates

Course Description

The CU MS-DS program on Coursera has collaborated with IBM to bring you the opportunity to practice the work data scientists do in real life. As a learner in this course, you have been provided access to the for free. This course is the final course in the IBM Data Science Professional Certificate designed to give learners the opportunity to practice data science on real world datasets.

The Capstone will focus on hands-on work rather than instruction. You will be expected to have a working knowledge of Python programming, data analysis, data visualization, SQL, and model development and evaluation.

This course validates the knowledge and completion of the IBM Applied Data Science Capstone Course. Through uploading the Coursera certification of completion and passing a graded assessment covering the material that was learned in the Capstone Course, students will be eligible to receive 1 (one) Graduate-Level university credit at ÌÒÉ«ÊÓƵ.

MS-DS Program Learning Outcomes

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program:

• Acquire, clean, wrangle, and manage data.
• Correctly perform exploratory data analyses in order to assist with the generation of scientific hypotheses.
• Construct an appropriate statistical model in order to answer important scientific or business-related questions.
• Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems.
• Understand and be able to apply the main computational techniques used to analyze large data sets, including a variety of data mining and machine learning approaches.
• Correctly apply the data science skills above to a specific domain area (e.g., business, climate science).

Drops, Tuition Refunds, and Withdrawals

Because the MS-DS has flexible course start dates, all drops, tuition refunds, withdrawals and grades are handled at the individual course level. It is the student’s responsibility to monitor these deadlines. Coursera and ÌÒÉ«ÊÓƵ are not responsible for notifying the students of these deadlines. For approximate session timelines, access the Boulder MS-DS Onboarding Course via the MS-DS degree homepage. To drop or withdraw from a course please complete the appropriate form on theÌýÌÒÉ«ÊÓƵ Office of the Registrar website.

Drops and Refunds

Each student has 14 days from a class start date or their enrollment date (whichever is later) to request a drop for 100% tuition refund. Students are only eligible to drop a course if they have not accessed the restricted content (timed proctored exam) or received a grade.Ìý When a course is dropped under these conditions, it will not appear on the student’s record.

Withdrawal

Students who request to drop the course after the 14-day period and who have not accessed the timed proctored assessment may withdraw from the course but will not receive a refund. When a student withdraws from a course under these conditions, the student will receive a grade of W on their academic record. W grades have no bearing on the GPA and credit total.

Students who access a timed, proctored final exam are ineligible for a drop, withdrawal, or refund, and are assigned a grade.

Grading

Course Grading Policy

Uniform Letter Grade Rubric

Grade percentages convert to letter grades according to the scheme below. 73% or higher is considered passing.

Program Policies

Suspected Violations of AI Tool Usage Policy

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure to respond promptly to any related communication so your perspective is included in the case review. Failure to respond timely will not prevent the completion of a case review.

In suspected cases of unauthorized AI tool usage, the program may:

• Request the documentation noted above (see AI Usage Documentation Guidelines) or other supplementary materials
• Issue a warning
• Assign a 0–50% grade for the question
• Assign a 0–50% grade for the assignment
• Assign an F grade for the course
• Reference prior violations
• Remove access to the course, related materials, and tools
• Contact theÌýOffice of Student Conduct & Conflict Resolution to report suspectedÌýHonor Code violations

Turnitin and similar AI detection tools may be used in these courses for initial detection of possible honor code violations.ÌýAll suspected violations will be reviewed by a human. AI tools alone will not be used to determine if an assignment is plagiarized, and results from these tools will not be used alone as evidence to penalize students.

University Policies

Accommodation for Disabilities

If you qualify for accommodations because of a disability, please submit your accommodation letter from Disability Services to your faculty member in a timely manner so that your needs can be addressed. Disability Services determines accommodations based on documented disabilities in the academic environment. Information on requesting accommodations is located on theÌýDisability Services website. Contact Disability Services at 303-492-8671 orÌýdsinfo@colorado.edu for further assistance. If you have a temporary medical condition, seeÌý on the Disability Services website.

Classroom Behavior

Students and faculty each have responsibility for maintaining an appropriate learning environment. Those who fail to adhere to such behavioral standards may be subject to discipline. Professional courtesy and sensitivity are especially important with respect to individuals and topics dealing with race, color, national origin, sex, pregnancy, age, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation or political philosophy. Class rosters are provided to the instructor with the student's legal name. We will gladly honor your request to address you by an alternate name or gender pronoun. Please advise us of this preference early in the semester so that we may make appropriate changes to my records. For more information, see the policies onÌý and theÌý.

Honor Code

The ÌÒÉ«ÊÓƵ takes issues of academic dishonesty extremely seriously.

Students in all of ÌÒÉ«ÊÓƵ’s courses, whether not-for-credit or for-credit, are expected to perform to the highest standards of academic honesty.

Students enrolled in for-credit courses are members of the ÌÒÉ«ÊÓƵ’s community and are subject to theÌýHonor Code Office’s policies and procedures. Information on the Honor Code can be found at theÌýHonor Code Office website.

Students who violate the Honor Code are subject to discipline. Violations of the policy may include: plagiarism, cheating, fabrication, lying, bribery, threats, unauthorized access to academic materials, submitting the same or similar work in more than one course without permission from all course instructors involved, and aiding academic dishonesty. Students are specifically expected to turn in original work and cite portions created by other authors. If a student has doubts regarding what collaboration is permissible in the course, the student should consult the discussion forums or the course facilitator directly.

Violations also include facilitating any act which may help a student to gain an unfair academic advantage including

1. Sharing course materials, including but not limited to personal notes, in an unauthorized online bank or forum, whether for profit or for free, is strongly discouraged and may result in a referral to the Honor Code. This includes sharing course materials on Slack.
2. Sharing personal authentication credentials/login information to third party sites is strongly discouraged and may result in a referral to the Honor Code process

Sexual Misconduct, Discrimination, Harassment and/or Related Retaliation

ÌÒÉ«ÊÓƵ is committed to fostering a positive and welcoming learning, working, and living environment. ÌÒÉ«ÊÓƵ will not tolerate acts of sexual misconduct (including sexual harassment, exploitation, and assault), intimate partner violence (including dating or domestic violence), stalking, protected-class discrimination or harassment by members of our community. Individuals who believe they have been subject to misconduct or retaliatory actions for reporting a concern should contact the Office of Institutional Equity and Compliance (OIEC) at 303-492-2127 orÌýcureport@colorado.edu. Information about the OIEC, university policies,Ìýreporting options, and other resources can be found on the.

Please know that faculty and instructors have a responsibility to inform OIEC when made aware of incidents of sexual misconduct, discrimination, harassment and/or related retaliation, to ensure that individuals impacted receive information about reporting options and support resources. This applies regardless of where or when an incident occurs as long as it involves a member of the CU community.

Religious Holidays

Campus policy regarding religious observances requires that faculty make every effort to deal reasonably and fairly with all students who, because of religious obligations, have conflicts with scheduled exams, assignments or required attendance. Since this is an online class, with no fixed weekly calendar schedule, we ask that you arrange your workload to accommodate your religious practice. See theÌý for full details.

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