This course is a mandatory course of the Micro-credential in Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
Python is an easy-to-learn, powerful programming language. It has efficient high-level data structures making it suitable for rapid application development. Topics covered in this session will include data types, conditional and loop statements, functions, input/output, modules, classes, and exceptions. Upon completing this tutorial series, participants should be able to understand existing scientific Python codes and write their own simple Python applications. This training session also introduces participants to scientific computing extensions of Python like Numpy for use in high-performance computing. Using advanced Python libraries like regular expressions, Scipy, Pandas, Seaborn, Scikit Learn, etc for everyday scientific computing is also taught.
Prerequisites: Before taking this course, you should be familiar with the command line terminal and running programs on it, or you should have taken the 101 Introduction to cluster computing: Linux, shell scripting, queuing systems, and Cluster Architecture course.
Date: 3rd September 2025 - 6th October 2025
Time: Mon Wed, 10:00 AM - 11:30 AM
Instructor: Dr. Jerry Ebalunode
Teaching Assistant: TBA
Class Capacity: 150
Location: (Microsoft Teams) code : TBA
Attendance Requirement:
Good standing on Attendance grade (>50%) would be required to see new course materials, homework assignments, and exams/projects as the course proceeds.
Also, for students interested in getting a badge or certificate for completing this course, an attendance grade of at least 12 hours of the class meeting sessions is required, to be qualified for passing the course and getting the badge.
Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses
Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.
Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.
UH Alumni and Non-UH Affiliates
Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.
UH Alumni Registration Fee: $250.00.
Non-UH Affiliate Registration Fee: $250.00.
Non-UH affiliates and alumni registering for the HPE DSI classes MUST:
(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this payment link : https://store.mynsm.uh.edu/index.php?route=product/product&product_id=403&search=101+introduction+to+cluster
Refund Schedule:
The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.
If you don't wish to continue participating in the course, Please use the option "Unenroll me" available at the right-hand pane on the course webpage to unenroll from the course. If you have questions, e-mail us at contact@hpedsi.uh.edu
Note:
- Badges MUST be claimed as soon as possible. Preferably within the week after being awarded, while you are still an active UH student, staff, or faculty member or active affiliate under EPOI sponsorship.
- If a student fails to claim their badge after this period, they will need to re-enroll for the course by paying the fee, get EPOI sponsorship before the badge can be claimed.
Microsoft Teams Joining Instructions:
- Students are requested to join the classes when it is started by the Instructor or the TA.
- If the meeting has already started, please just join the meeting using join option, don't start a new meeting or restart the meeting by yourself which would cause a lot of confusion as they would redirect you to a different meeting room.
Academic Honesty: All submitted work must be the original effort of the participant and must comply with HPEDSI’s academic honesty policy. For full policy details, click here.
Copyright protection: The course materials and online lecture videos posted on Teams are only meant to be used within this course and should not be distributed.