Graduate Modules

Many Irish graduate students are enrolled in structured PhD programmes where they must complete courses/modules and attain ECTS credits. In collaboration with the School of Physics at NUI Galway and other Irish universities, we offer some of our courses as accredited graduate modules. This means that graduates can attain ECTS credits upon successful completion of our modules based on participation in face-to-face lectures/practical sessions and grading of submitted homework assignments.

The following are details of graduate modules led by ICHEC, with ICHEC staff responsible for the majority of efforts of the module, i.e. syllabus design, materials development, delivery of. teaching to students as well as assessment. 

ICHEC's Academic Graduate Modules

 
Module code Institution Module title Credits

HPC and computational science modules @ NUIG
These are mirrored across different universities and can be taken as optional modules by graduate students from different structured PhD programmes.

PH502 NUI Galway Scientific Programming Concepts 5 ECTS
AMC40660 UCD Scientific Programming Concepts 5 ECTS
SE6006 UCC Scientific Programming Concepts 5 ECTS
PH503 NUI Galway Software Design and Carpentry for Scientists  5 ECTS
PH504 NUI Galway High Performance Computing and Parallel Programming  5 ECTS
ACM40640 UCD High Performance Computing and Parallel Programming  5 ECTS
SE6009 UCC High Performance Computing and Parallel Programming 5 ECTS
PH505 NUI Galway Scientific Computing using Graphic Processor Units 5 ECTS

Part of Certificate in Artificial Intelligence at UL (2018 onwards)

CE4031 UL Introduction to Deep learning and Networks 6 ECTS

Part of MSc in Artificial Intelligence at UL (LM719, 2020 onwards)
[ICHEC and UL share teaching and assessment responsibilities for this module]

CS5004 UL Deep Learning 6 ECTS

Part of MSc, PDip in Consumer Psychology at NUI Galway (2021 onwards)

PS6163 NUI Galway Data Analysis through R 10 ECTS

Part of Diploma in Applied Science (HPC system Design and Development) at NUI Galway (1DSD1, 2014-15)

CT1103 NUI Galway Fundamental Network and System Administration 5 ECTS
CT1104 NUI Galway HPC Technology and Administration 5 ECTS
CT1105 NUI Galway HPC Systems Operations & Management 5 ECTS
CT1106 NUI Galway Industrial Development Placement and Project 15 ECTS

 

Scientific Programming Concepts

This module is an introduction to programming concepts aimed at scientists who have had minimal or no formal training in the subject. The focus is on C and Fortran yet the general concepts should be applicable to other programming languages. The main topics covered in this module includes: overview of computer architecture, the Linux shell, the imperative programming paradigm, data types & arithmetic operations, loops & conditional statements, object-oriented programming, standard libraries, compilation, C pointers and memory management, modern Fortran, scripting languages and an introduction to HPC concepts.

On successful completion of this module, students should be able to:

  • Gain an understanding of what constitutes a computer program and how it is constructed.
  • Comprehend written source code.
  • Write and compile basic programs in C/Fortran.
  • Make use of standard libraries in own code.

In order to gain 5 ECTS credits for participation in this module, students are required to attend all 4 days of the course and achieve a pass grade (final mark of >40%) based on 2 assignments to be distributed. The assignments need to be submitted to the instructors within the designated deadlines (typically 4 weeks after each assignment is given) for marking. Each assignment carries 50% of the final mark.

Graduate module course code: PH502 (NUIG); SE6006 (UCC); ACM40660 (UCD).

HPC & Parallel Programming

This module introduces key topics in high performance computing (HPC), including parallel programming. Prior programming experience; basic knowledge of UNIX/Linux shell is expected. It covers topics such as evolution of computer architecture, HPC concepts and scientific applications, parallel decomposition, shared memory multiprocessing programming (OpenMP), the Message Passing Interface (MPI) and numerical libraries.

On successful completion of this module, students should be able to:

  • Understand key HPC concepts and how they are applied in scientific research.
  • Devise parallel strategies to solve computational problems.
  • Develop basic parallel applications using OpenMP and/or MPI.
  • Leverage numerical libraries for better performing code.

In order to gain 5 ECTS credits for participation in this module, students are required to attend all 4 days of the course and achieve a pass grade (final mark of >40%) based on 2 assignments to be distributed. The assignments need to be submitted to the instructors within the designated deadlines (typically 4 weeks after each assignment is given) for marking. Each assignment carries 50% of the final mark.

Graduate module course code: PH504 (NUIG); SE6009 (UCC); ACM40640 (UCD).

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