Southern Utah University

Course Syllabus

Southern Utah University
Southern Utah University
Fall Semester 2025

Programming for Data Science (Online)

ANLY 6050-A70

Course: ANLY 6050-A70
Credits: 3
Term: Fall Semester 2025
Department: MESA
CRN: 30149

Course Description

Introduction to programming basics, binary computation, problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, arrays, inheritance and object-oriented design. Laboratory exercises in Python. (Fall - 2nd Session, Summer - 1st Session) [Graded (Standard Letter)] Registration Restriction(s): Master of Science in Business Analytics

Required Texts

Please note: our course lectures will be the main course resources. The materials listed below are optional, but incredibly helpful for understanding Python concepts.

  • Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners
    Author: Al Sweigart
    Publisher ‏ : ‎ No Starch Press; 2nd edition (November 12, 2019)
    ISBN-10 ‏ : ‎ 1593279922
    ISBN-13 ‏ : ‎ 978-1593279929
 O'Reilly Online Textbook:

  1. SUU Login Link: https://go.oreilly.com/southern-utah-university?state=/home/
  2. Textbook Link: https://learning.oreilly.com/library/view/automate-the-boring/9781098122584/xhtml/ch01.xhtml#ch01lev1sec1
A free online edition of the textbook https://automatetheboringstuff.com/ is available under a Creative Commons license.

Learning Outcomes

By the end of this course, you will be able to:

  1. Demonstrate solid Python programming skills through coding tasks.
  2. Determine fundamental concepts of Python programming, such as variables, if-else statements, loops, and functions.
  3. Compose Python data wrangling and analysis programs by combining custom-developed code with modules from Python's built-in libraries and from modules maintained by third parties.
  4. Import and work with popular Python libraries for specific business analytics topics.

Course Requirements

Part 1: Install Python

Recommended version: Python 3.12.10
(Python 3.13.6, the latest release, might not be fully stable.)

Part 2: Install PyCharm

PyCharm Professional License: (Use your SUU Email to apply for a license.)
https://www.jetbrains.com/community/education/#students
https://www.jetbrains.com/shop/eform/students 

pip install numpy
pip install matplotlib
pip install pandas
pip install jupyterlab
pip install scipy
pip install scikit-learn
pip install seaborn
pip install Pillow
pip install virtualenv
pip install skops
pip install PyQt5
pip install PyQt6
pip install jupyter

import subprocess
subprocess.getoutput("pip list")



Course Outline

Lecture Quizzes Assignments

These quizzes will check your synthesis of key coding concepts introduced in the readings and lectures in each module. You will have 30 minutes and two attempts to complete each quiz.

Homework Assignments

You will complete specific Python coding tasks related to the module's course content.


Instructor's policies on late assignments and/or makeup work

  • All assignments will be closed for submission at 5:00 PM on October 10, 2025 (Mountain Time - Denver, GMT-06:00). Students' submissions should be made before 5:00 PM on October 10, 2025 (Mountain Time - Denver, GMT-06:00).
  • Assignments submitted after the due date will incur a penalty based on the total points possible for the assignment, not the points earned. Assignments submitted after the due date will incur a penalty of 10% per 24-hour period. The penalties are applied as follows:
    • Within 24 hours of the due time: A 10% deduction from the total points will be applied.
      Example: If the total points for an assignment are 10 and a student's grade without penalty is 8 points, the 10% deduction will result in a 1-point deduction, not 0.8 points.

    • 24 to 48 hours past the due time: A 20% deduction from the total points will be applied.
      Example: For an assignment worth 10 points, this will result in a 2-point deduction.

    • 48 to 72 hours past the due time: A 30% deduction from the total points will be applied.
      Example: For an assignment worth 10 points, this will result in a 3-point deduction.

    • 72 to 96 hours past the due time: A 40% deduction from the total points will be applied.
      Example: For an assignment worth 10 points, this will result in a 4-point deduction.

    • ...

    • 192 to 216 hours past the due time: A 90% deduction from the total points will be applied.
      Example: For an assignment worth 10 points, this will result in a 9-point deduction.

    • 216 or more hours past the due time: a grade of zero will be recorded.

  • If there are extenuating circumstances, you will need to discuss those with me as soon as possible.

Attendance Policy

N.A.

Course Fees

N.A.

ADA Statement

Students with medical, psychological, learning, or other disabilities desiring academic adjustments, accommodations, or auxiliary aids will need to contact the Disability Resource Center, located in Room 206F of the Sharwan Smith Center or by phone at (435) 865-8042. The Disability Resource Center determines eligibility for and authorizes the provision of services.

If your instructor requires attendance, you may need to seek an ADA accommodation to request an exception to this attendance policy. Please contact the Disability Resource Center to determine what, if any, ADA accommodations are reasonable and appropriate.

Academic Credit

According to the federal definition of a Carnegie credit hour: A credit hour of work is the equivalent of approximately 60 minutes of class time or independent study work. A minimum of 45 hours of work by each student is required for each unit of credit. Credit is earned only when course requirements are met. One (1) credit hour is equivalent to 15 contact hours of lecture, discussion, testing, evaluation, or seminar, as well as 30 hours of student homework. An equivalent amount of work is expected for laboratory work, internships, practica, studio, and other academic work leading to the awarding of credit hours. Credit granted for individual courses, labs, or studio classes ranges from 0.5 to 15 credit hours per semester.

Academic Freedom

SUU is operated for the common good of the greater community it serves. The common good depends upon the free search for truth and its free exposition. Academic Freedom is the right of faculty to study, discuss, investigate, teach, and publish. Academic Freedom is essential to these purposes and applies to both teaching and research.

Academic Freedom in the realm of teaching is fundamental for the protection of the rights of the faculty member and of you, the student, with respect to the free pursuit of learning and discovery. Faculty members possess the right to full freedom in the classroom in discussing their subjects. They may present any controversial material relevant to their courses and their intended learning outcomes, but they shall take care not to introduce into their teaching controversial materials which have no relation to the subject being taught or the intended learning outcomes for the course.

As such, students enrolled in any course at SUU may encounter topics, perspectives, and ideas that are unfamiliar or controversial, with the educational intent of providing a meaningful learning environment that fosters your growth and development. These parameters related to Academic Freedom are included in SUU Policy 6.6.

Academic Misconduct

Scholastic honesty is expected of all students. Dishonesty will not be tolerated and will be prosecuted to the fullest extent (see SUU Policy 6.33). You are expected to have read and understood the current SUU student conduct code (SUU Policy 11.2) regarding student responsibilities and rights, the intellectual property policy (SUU Policy 5.52), information about procedures, and what constitutes acceptable behavior.

Please Note: The use of websites or services that sell essays is a violation of these policies; likewise, the use of websites or services that provide answers to assignments, quizzes, or tests is also a violation of these policies. Regarding the use of Generative Artificial Intelligence (AI), you should check with your individual course instructor.

Emergency Management Statement

In case of an emergency, the University's Emergency Notification System (ENS) will be activated. Students are encouraged to maintain updated contact information using the link on the homepage of the mySUU portal. In addition, students are encouraged to familiarize themselves with the Emergency Response Protocols posted in each classroom. Detailed information about the University's emergency management plan can be found at https://www.suu.edu/emergency.

HEOA Compliance Statement

For a full set of Higher Education Opportunity Act (HEOA) compliance statements, please visit https://www.suu.edu/heoa. The sharing of copyrighted material through peer-to-peer (P2P) file sharing, except as provided under U.S. copyright law, is prohibited by law; additional information can be found at https://my.suu.edu/help/article/1096/heoa-compliance-plan.

You are also expected to comply with policies regarding intellectual property (SUU Policy 5.52) and copyright (SUU Policy 5.54).

Mandatory Reporting

University policy (SUU Policy 5.60) requires instructors to report disclosures received from students that indicate they have been subjected to sexual misconduct/harassment. The University defines sexual harassment consistent with Federal Regulations (34 C.F.R. Part 106, Subpart D) to include quid pro quo, hostile environment harassment, sexual assault, dating violence, domestic violence, and stalking. When students communicate this information to an instructor in-person, by email, or within writing assignments, the instructor will report that to the Title IX Coordinator to ensure students receive support from the Title IX Office. A reporting form is available at https://cm.maxient.com/reportingform.php?SouthernUtahUniv

Non-Discrimination Statement

SUU is committed to fostering an inclusive community of lifelong learners and believes our university's encompassing of different views, beliefs, and identities makes us stronger, more innovative, and better prepared for the global society.

SUU does not discriminate on the basis of race, religion, color, national origin, citizenship, sex (including sex discrimination and sexual harassment), sexual orientation, gender identity, age, ancestry, disability status, pregnancy, pregnancy-related conditions, genetic information, military status, veteran status, or other bases protected by applicable law in employment, treatment, admission, access to educational programs and activities, or other University benefits or services.

SUU strives to cultivate a campus environment that encourages freedom of expression from diverse viewpoints. We encourage all to dialogue within a spirit of respect, civility, and decency.

For additional information on non-discrimination, please see SUU Policy 5.27 and/or visit https://www.suu.edu/nondiscrimination.

Pregnancy

Students who are or become pregnant during this course may receive reasonable modifications to facilitate continued access and participation in the course. Pregnancy and related conditions are broadly defined to include pregnancy, childbirth, termination of pregnancy, lactation, related medical conditions, and recovery. To obtain reasonable modifications, please make a request to title9@suu.edu. To learn more visit: https://www.suu.edu/titleix/pregnancy.html.

Disclaimer Statement

Information contained in this syllabus, other than the grading, late assignments, makeup work, and attendance policies, may be subject to change with advance notice, as deemed appropriate by the instructor.