| Instructor: | Prof. Michael Paul | (Office hour: Friday, 10:15am–11:45am, ENVD 207) |
| Time/Place: |
MW 9:30am–10:45am ENVD 201 |
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| Contact: | mpaul@colorado.edu |
| Textbook: | Downey (2014) Think Stats: Exploratory Data Analysis in Python, 2nd Edition. |
| Introduces intermediate-level methods for quantitative data analysis, focusing on foundational concepts in probability and statistical inference along with complementary computational skills and tools. The course will cover basic probability concepts, common probability distributions and methods for estimating their parameters, multivariate regression with applications to forecasting and classification and a variety of methods of statistical significance testing. |
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| Prerequisites: |
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To contact the instructor outside of class, you can email him directly at: mpaul@colorado.edu.
This course will consist largely of in-class exercises and group work. It is expected that most work can be done in class, but there will likely be take-home assignments as well (for example, we might start an activity in class that you are asked to finish as homework). These exercises and activities will contribute to the majority of your grade (60%).
Another major component of the class will be a final project that you will begin in the second half of the semester. Final projects will be presented to others, tentatively at an Information Science end-of-semester showcase. The final project will replace a traditional final exam.
Regular attendance is especially important in this participation-heavy class. Unexcused absenses will result in penalties toward the "participation" portion of your grade (10%). If you cannot make it to class due to illness or travel, please send a note to the instructor.
In summary, grades will be weighted according to the following distribution:
| Assignments and activities | 60% |
| Final project and presentation | 30% |
| Attendance and participation | 10% |
If you own a personal laptop computer, please bring it to class. Many activities in class will require laptops with Python installed. If you do not have a laptop that you can bring to class, please notify the instructor so we can come up with alternative arrangements.
If you qualify for accommodations because of a disability, please submit to your professor a letter from Disability Services in a timely manner (for exam accommodations provide your letter at least one week prior to the exam) so that your needs can be addressed. Disability Services determines accommodations based on documented disabilities. Contact Disability Services at 303-492-8671 or by e-mail at dsinfo@colorado.edu. If you have a temporary medical condition or injury, see the Temporary Injuries guidelines under the Quick Links at the Disability Services website and discuss your needs with your professor.
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. In this class, if you have a conflict due to religious obligations, please notify us at least two weeks in advance of the conflict so that we can arrange accommodations. See the campus policy regarding religious observances for full details.
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 differences of race, color, culture, religion, creed, politics, veteran's status, sexual orientation, gender, gender identity and gender expression, age, disability, and nationalities. Class rosters are provided to the instructor with the student's legal name. I will gladly honor your request to address you by an alternate name or gender pronoun. Please advise me of this preference early in the semester so that I may make appropriate changes to my records. For more information, see the policies on classroom behavior and the student code.
The University of Colorado Boulder (CU Boulder) is committed to maintaining a positive learning, working, and living environment. CU Boulder will not tolerate acts of sexual misconduct, discrimination, harassment or related retaliation against or by any employee or student. CU's Sexual Misconduct Policy prohibits sexual assault, sexual exploitation, sexual harassment, intimate partner abuse (dating or domestic violence), stalking or related retaliation. CU Boulder's Discrimination and Harassment Policy prohibits discrimination, harassment or related retaliation based on race, color, national origin, sex, pregnancy, age, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation or political philosophy. Individuals who believe they have been subject to misconduct under either policy should contact the Office of Institutional Equity and Compliance (OIEC) at 303-492-2127. Information about the OIEC, the above referenced policies, and the campus resources available to assist individuals regarding sexual misconduct, discrimination, harassment or related retaliation can be found at the OIEC website.
All students enrolled in a University of Colorado Boulder course are responsible for knowing and adhering to the academic integrity policy of the institution. Violations of the policy may include: plagiarism, cheating, fabrication, lying, bribery, threat, unauthorized access, clicker fraud, resubmission, and aiding academic dishonesty. All incidents of academic misconduct will be reported to the Honor Code Council (honor@colorado.edu; 303-735-2273). Students who are found responsible for violating the academic integrity policy will be subject to nonacademic sanctions from the Honor Code Council as well as academic sanctions from the faculty member. Additional information regarding the academic integrity policy can be found at honorcode.colorado.edu.