This course will help participants become familiar with the computing environment on UH high-performance computing clusters like Carya and Sabine. You'll learn how to set up HPC workflows, submit tasks to the queuing systems, and retrieve your results. The course also covers the structure of cluster systems, how to access them, personalize your user settings, compile and link codes for CPUs or GPUs, work with the SLURM batch scheduling system, create batch job scripts, and submit jobs for various HPC applications such as MATLAB, R, Python, and NAMD. In addition to HPC, the course touches on Linux, covering topics like user accounts, file permissions, navigating the file system, using the Command Line Interface (CLI), employing command line utility programs, manipulating files and folders, and working with standard text editors. Furthermore, the course covers Shell scripting, including built-in commands, control structures, file descriptors, functions, parameters, and variables.
Syllabus: Link To Syllabus
Prerequisites: None.
Date: 22nd January 2024 - 26th February 2024
Time: Mon Wed 10:30 AM - 12:00 PM
Instructor: Dr. Jerry Ebalunode
Teaching Assistant: Aravind Kumar Reddy Pasunuri(apasunur@cougarnet.uh.edu)
Location Join Microsoft Teams
Capacity: 150
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses
Attendees who are current UHS students, 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 to process 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 students, 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
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process 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
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are non-transferable. 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.
C++ is one of the most widely used programming languages, particularly in the STEM fields. Various C++ compilers are available for the majority of computer architectures and operating systems. This tutorial will provide skills to understand and write C++ code starting with the basics. There will be many hands-on time sessions to write code. You will learn how to write, compile, and debug some C code comfortably. You will understand and use the basic constructs of C++; manipulate C++ data types, such as arrays, strings, containers, and pointers; isolate and fix common errors in C++ programs; use memory appropriately, including proper allocation/deallocation procedures; apply object-oriented approaches to software problems in C++, making use of structs, classes, and objects. Several C++ problems will be presented and solved. Some of the newest features of C++ will also mentioned/looked at.
Prerequisites: Participants are expected to have familiarity with the command line either on UNIX/LINUX or Windows.
Date:18th March 2024 - 22th April 2024
Time: Mon-Wed, 10:30 AM - 12:00 PM
Instructor: Dr. Jerry Ebalunode
Teaching Assistant: Amala Yeruva(ayeruva@cougarnet.uh.edu)
Class Capacity: 150
Location: online
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the course's starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 to process 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 students, staff, or faculty will need to make a payment for the course before 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
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
***This course is a mandatory course of the Micro-credential in Advanced Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
This course will teach you a basic understanding of how to program in R. You will learn how to use the R Studio software necessary for a statistical programming environment. The course covers reading data into R, accessing R packages, writing R functions, debugging, and commenting R code. We will introduce visualization concepts in R and you will also learn how to run R code on the HPE DSI HPC clusters.
Prerequisites: None.
Intro to Linux/Cluster computing course provided by HPE DSI is recommended.
Instructor: Ishita Sharma
Teaching Assistant: Aravind Kumar Reddy Pasunuri (apasunur@cougarnet.uh.edu)
Date: 22nd January 2024 - 21th February 2024
Time: Mon Wed 2:30 PM - 4:00 PM
Location: Join Microsoft Teams
Capacity: 150
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the classes starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 to process 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 students, 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=407&search=211+r+for+data+science
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
**The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are non-transferable. 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.
***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: 23rd Jan 2024 - 27th Feb 2024Time: Tue-Thur, 10:30 AM - 12:00 PM
Instructor: Dr. Jerry Ebalunode
Class Capacity: 150
Location: Join Microsoft Teams
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 to process 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 students, staff, or faculty will need to make a payment for the course before 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 link
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process 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. Feel free to e-mail us at contact@hpedsi.uh.edu if you have questions.
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
251 Data Visualization using ParaView and Tableau Mon Wed 03/20/2024 - 04/22/2024, 1:00 PM - 2:30 PM
***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
This tutorial will provide hands-on skills in using modern data visualization and analysis platforms, specifically the open-source parallel ParaView and Tableau. ParaView is powerful and popular in the HPC scientific and engineering research communities. In the ParaView part, we will explore representations, color scales and their controls, data filters, building pipelines, multi-view & camera links using synthetic seismic data, streamline plots, plot-over-line analysis, and histograms. Also, the calculator tool, datasets & time, animations & their controls, time interpolation, camera animations, static vector field animations, and Python scripting. Finally, the course will cover how to use these tools/skills to do remote, parallel visualization using HPE DSI computer clusters. In the Tableau workshop, we will use Tableau Public to create interactive data visualizations. It will cover an overview of the program and provide hands-on experience creating basic charts and maps, as well as creating interactive web-based visualization dashboards. We will also use more advanced features in Tableau to manage data and use calculations and parameters to make views more interactive. In the end, students will publish their visualizations to the Tableau Public web server.
Date: 20th Mar 2024 - 22nd Apr 2024
Time: Mon Wed 1:00 PM - 2:30 PM
Instructor: Ishita Sharma, MS
Class Capacity: 150
Location: Join microsoft teams
-
HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the course's starting date to allow for proper registration.
- I request everyone 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 the 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.
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 students, 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 to process 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 students, staff, or faculty will need to make a payment for the course before 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=410&search=251+Data
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process 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. Feel free to e-mail us at contact@hpedsi.uh.edu, if you have questions.
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
Today, multiple resources such as Social Media/Healthcare applications/Banking Applications so on generate a large volume of data.
The first question which comes to our mind is how to make the data useful to help society.
This course has designed to help you familiarize yourself with some of the essential steps to begin analyzing the data and discovering the patterns on the dataset.
It will include working on some real-world datasets covering skills such as
Data scraping, data pre-processing (data importing & cleaning), data wrangling (exploratory data analysis & data structuring), and applying statistical techniques to get ready for the machine learning algorithms.
Pre-requisites: Familiarity with Python Programming language
Recommended: Intro to Linux/Cluster computing course provided by HPE DSI
Syllabus: Link to syllabus
Instructor: Ishita Sharma
Teaching Assistant: Amala Yeruva (ayeruva@cougarnet.uh.edu)
Date: 23rd Jan 2024 - 22nd Feb 2024
Time: Tues Thur 1:00 PM - 2:30 PM
Location: Join Microsoft Teams with CODE
Capacity: 150
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 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 students, 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 link https://store.mynsm.uh.edu/index.php?route=product/product&product_id=402&search=261
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process 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
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
***This course is an elective course of the Micro-credential in Advanced Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
This hands-on course introduces the key concepts for business data analytics using both MS Excel and Power BI, serving as an analytics literacy course to help students gain essential knowledge in business data analytics to enhance firm competitiveness. Concepts introduced in this course aim to develop an understanding of the several types of business data, data modeling techniques, various analytical approaches, and the application of these approaches to solve business problems using platform-agnostic tools in MS Excel and Power BI. The practices cover both basic and advanced functions of MS Excel, including PivotTable, PivotChart, and Adds-in, as well as key features of Power BI such as data connections, report designing, and interactive report creation. No textbooks are required.
Instructor: Josh K Kaisen
Teaching Assistant: Udaya Sri Mandadapu (umandada@cougarnet.uh.edu)
Date: 23rd January 2024 - 27th February 2024
Time: Tue Thur, 2:30 PM - 04:00 PM
Location: Join microsoft teams
Capacity: 150
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.
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 students, 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 to process 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 students, 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 link https://store.mynsm.uh.edu/index.php?route=product/product&path=377_380&product_id=998
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
If you wish to withdraw from the course, Please use the option "Unenroll me" available at the right-hand pane on the course webpage to unenroll from the course. Feel free to e-mail us at contact@hpedsi.uh.edu, if you have any questions.
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are non-transferable. 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.
- Teacher: Josh Kaisen
The Message Passing Interface (MPI) Standard is a standardized library for exchanging messages between multiple computers running a parallel program across distributed memory. The goal of the Message Passing Interface is to establish a portable, efficient, and flexible standard for message-passing that will be widely used for writing message-passing programs. Well-written MPI-based applications can take advantage of the scalable processing power offered by distributed computing clusters such as UH’s Opuntia cluster. The goal of this course is to teach those unfamiliar with MPI how to develop and run parallel programs according to the MPI standard. Topics covered will include MPI routines such as MPI environment management, point-to-point communications, and collective communications routines. Advanced topics such as MPI data types for message passing, groups and communicators, virtual topologies, and Hybrid programming will also be covered.
Prerequisites: Familiarity with a low-level programming language such as C/C++, or Fortran, and working comfortably in a UNIX/Linux environment or completed corresponding HPE DSI courses (cluster computing and C++).
Instructor: Dr. Jerry O Ebalunode
Location: Join microsoft teams
Date: 19th March 2024 - 23rd April 2024
Time: Tue Thur 2:30 PM - 4:00 PM
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.
HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the course's starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 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 students, 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 payments link.
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing your course access credentials before the first class.
If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
Part 1: Use of CUDA which makes it easier for specialists in parallel programming to use GPU resources
Part 2: Programming GPUs using high-level programming language - MATLAB and directive-based approaches including OpenACC and OpenMP (if time permits)
Prerequisites: Familiarity with a low-level programming language such as C/C++, Fortran, or Matlab and working comfortably in a UNIX/Linux environment or completed corresponding HPEDSI courses (cluster computing, C++).
Note for HPC certificate – you should have completed the Linux/cluster computing
Instructor: Dr. Jerry Ebalunode
Teaching Assistant: Amala Yeruva(ayeruva@cougarnet.uh.edu)
Date: 19th March 2024 - 23rd April 2024
Time: Tue-Thur 10:30 AM - 12:00 PM
Location: online
Class Capacity: 150
HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the course's starting date to allow for proper registration.Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 to process 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
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
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedsi.uh.edu.
Machine learning is the science of developing statistical methods that quantify relationships within data. This branch of mathematics/computer science has seen explosive growth over the past decade as our ability to store and process digital data has dramatically increased. Prediction, classification, regression, and identification are the aims of learning from data. All of these problems are routinely performed in data analytics. To obtain an overview of the literature in learning-based methods and applications. To obtain an understanding of a variety of machine learning techniques for classification, regression, and prediction. To obtain the ability to implement and experiment with a wide range of machine learning algorithms in Python with examples. To apply: Unsupervised and Supervised learning and clustering concepts, Dimensional reduction, Kernels and kernel-based classifiers such as SVM, and Deep Learning algorithms. To understand and implement learning-based methods for the classification of images, signals, and features.
Prerequisites: Familiarity with Python Programming
Syllabus: Link to Syllabus
Dates: 23rd Jan 2024 - 27th Feb 2024
Time: Tue-Thur 2:30 PM - 4:00 PM
Instructor: Dr. Ioannis Konstantinidis
Teaching Assistant: Amala Yeruva (ayeruva@cougarnet.uh.edu)
Location: Microsoft Teams with CODE
Class Capacity:150
- HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.
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 students, 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 to process 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 students, 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 link
https://store.mynsm.uh.edu/index.php?route=product/product&product_id=404&search=311
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process 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
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are non-transferable. 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.
Deep learning refers to AI/ML techniques that utilize multilayer (deep) artificial neural networks. This branch of data science has seen exponential improvements in performance as our ability to collect, store, and process digital data has dramatically increased. Prediction, classification, regression, and identification of semi/unstructured data are areas where deep learning techniques exhibit a significant comparative advantage.
Course aims:
- To obtain an overview of the literature on deep learning methods and applications.
- To obtain an understanding of a variety of deep learning techniques for classification, regression, and prediction.
- To obtain the ability to implement and experiment with a wide range of deep learning algorithms in Python with examples: e.g., convolutional networks (CNN), auto-encoders, generative adversarial networks (GAN), transformers/attention (BERT)
- To understand and implement deep learning-based methods for the classification of semi/unstructured data such as images or language.
Prerequisites: HPE DSI 311 – Introduction to Machine Learning.
Date: 19th March 2024 - 23rd April 2024
Time: Tues Thur 2:30 PM - 4:00 PM
Instructors: Dr. Ioannis Konstantinidis
Class Capacity: 150
Location: online
-
HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the course's starting date to allow for proper registration.
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, 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 to process 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 students, staff, or faculty will need to make a payment for the course before 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 payments link.
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. 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.
This
course will introduce students to bioinformatics and the analysis
of next-generation sequencing (NGS) data. Bioinformatics is the application of
computational techniques to the study of biological data, and NGS technology
has revolutionized the way we study genetics and genomics. Through a
combination of lectures and hands-on laboratory exercises, students will learn
the principles of bioinformatics and NGS data analysis and gain practical
experience with the tools and methods used in the field. Topics will include data
QC, sequencing reads mapping, variant calling and annotation. By the end of the
course, students will have the skills to analyze and interpret NGS data for
their own research projects.
Date: 23rd January 2024 - 27th February 2024
Time: Tue Thu 2:30 PM - 4:00 PM
Instructor: Pavel Dobrynin, Ph.D.
Teaching Assistant: Aravind Kumar Reddy Pasunuri (apasunur@cougarnet.uh.edu)
Location: Join Microsoft Teams
Attendance Requirement:
Good standing on Attendance grade (>50%) would be required to see new course materials and participate in research 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.
Textbook: None Required
Lecture notes would be provided through the course website.
Evaluation (tentative): Attendance: 20%, Workshop performance: 30%, Research project: 50%
Fees: The course is FREE to the UH System community ( students, staff, and faculty)
Non-UH Affiliate Registration Fee: $250.00
UH Alumni Registration Fee: $250.00
- Attendees who are not current UH students, staff, or faculty, will need to make a payment for the course prior to its commencement. https://store.mynsm.uh.edu/index.php?route=product/product&product_id=1365
For more information contact us at: contact@hpedsi.uh.edu
** 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.
(2) inform HPE DSI of their interest in taking the course 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 meeting.
If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: 15% cancellation fee applies.
Less than one week before the start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are non-transferable. 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.
Copyright protection: The course materials and online lecture videos posted on Blackboard/Moodle are only meant to be used within this course and should not be distributed.
The University of Houston Academic Honesty Policy applies: http://www.uh.edu/provost/policies/honesty
Students in need of counseling: Counseling and Psychological Services (CAPS) can help students who are having difficulties managing stress, adjusting to the demands of a professional program, or feeling sad and hopeless. You can reach CAPS (www.uh.edu/caps) by calling 713-743-5454 during and after business hours for routine appointments or if you or someone you know is in crisis. No appointment is necessary for the “Let's Talk” program, a drop-in consultation service at convenient locations and hours around campus. http://www.uh.edu/caps/outreach/lets_talk.htm
- Teacher: Pavel Dobrynin