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MSc in Computer Science TU060 Induction�

Andrea Curley

Brendan Tierney

Ciaran Cawley

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Who?

Role

Stream

Person

Stream Mentor

Data Science

Advanced Software Development

Programme Co-ordinator

All Streams

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Before we start..

All documentation discussed today is available on http://ditmsc.blogspot.com/

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Programme Codes

Programme Name

Full-time Code

Part-time Code

MSc in Computer Science (Advanced Software Development)

TU059 / ASD

TU060 / ASD

MSc in Computer Science (Data Science)

TU059 / DS

TU060 / DS

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MSc in Computing

Students on all streams complete the following core MSc modules:

    • Scientific Research & Literature
    • Research Methods & Proposal Writing
    • Research Project and Dissertation

Plus relevant specialist modules

Plus two option modules

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Advanced Software Development

The specialist modules on this stream are:

    • Programming Paradigms: Principles & Practices (5 ECTS)
    • Software Design (5 ECTS)
    • Advanced Databases (5 ECTS)
    • Systems Architectures (10 ECTS)
    • Web Application Architectures (10 ECTS)
    • Secure Systems Development (5 ECTS)

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Data Science

The specialist modules on this stream are:

    • Introduction to Data Analysis (formerly Probability & Statistics) (5 ECTS)
    • Machine Learning (10 ECTS)
    • Working with Data (10 ECTS)
    • Data Management (5 ECTS)
    • Data Mining (5 ECTS)
    • Data Visualisation (5 ECTS)

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ASD Stream

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DS Stream

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Progression to Dissertation

In order to progress to SPEC9999 Research Project and Dissertation, students must achieve at least a 50% average across all core modules (50 ECTS).

A student who does not achieve this threshold of 50% will exit from the MSc programme with an award of Postgraduate Diploma in Computing.

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Getting Started..

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How is this programme being delivered?

Primarily online

Semester 1

The delivery method is as follows:

  1. Week 1 on-site (with online option)
  2. Week 2-5 online
  3. Week 6 on-site (with online option)
  4. Week 7-12 online
  5. Week 13 on-site (with online option)

Some modules have an onsite exam in January

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How is this programme being delivered?

Primarily online

Semester 2

The delivery method is as follows:

  1. Week 1 on-site (with online option)
  2. Week 2-6 online
  3. Week 7 on-site (with online option)
  4. Week 8-12 online
  5. Week 13 on-site (with online option)

Some modules have an onsite exam in May

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  • When you first login in, you will see a page of greyed-out modules.
  • Lecturers will make the module live closer to the starting date.
  • You must be registered to the module. There is no way of adding a student

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Brightspace

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How can I access Bongo?

https://tinyurl.com/1stweeklinks26

This is a live document and will be completed by the end of the week

THIS IS POSTED ON https://ditmsc.blogspot.com/

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How can I access Bongo?

  • Your lecturer may email you a link

  • They might place a link to the live session from within the content of your Brightspace module.

  • You can also access any scheduled live classroom session by clicking on ‘Module Tools’ on the main menu bar in the module in question, and then choosing ‘Virtual Classroom’ from the dropdown menu.

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How can I access Bongo?

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How can I access Bongo?

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Bongo on Brightspace

  • All classes are online, three weeks are hybrid

  • Lectures are usually recorded

  • Attendance is not mandatory

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Timetables

For students progressing from TU256

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Timetables

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TU060-1 ASD Timetable

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TU060-1 DS Timetable

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TU060-2 DS Timetable

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TU060-2 DS Timetable

Saturdays for Research Design:

  • Sept 26th
  • Oct 17th
  • Nov 14th 
  • Dec 5th.

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First class on Monday

DS

ASD

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MSc Blog

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MSc Blog

We use a blog as a central resource for information about the programme

    • Available at ditmsc.blogspot.com/
    • Contains links to all important programme information
    • Contains links to important forms – e.g. personal circumstances form
    • Acts as a notice board for important programme events – e.g. class time changes

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MSc Website

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Registrations

Registration Process:

  • You should receive an initial email with your TU Dublin email address

  • You should receive an ITR (Invitation To Register) by email
    1. Click on the link provided in the email and go through the process.

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Registrations

Need to run through all of the items on the left

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Registrations

Once module selection is selected, this is the screen that you get

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TU060-1 Registration

Data Science

Semester 1 

  • Probability & Stats / Fundamentals of Data Analysis 
  • Working with Data 
  • Data Mining 

Semester 2 

  • Machine Learning 
  • Data Visualisation
  • Scientific Research

Advanced Software Development

Semester 1 

  • Software Design 
  • Programming Paradigms
  • Web Applications Architectures

Semester 2 

  • Systems Architectures
  • Secure Systems Development
  • Scientific Research

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TU060-2 DS Registration

Data Science

Semester 1 

  • Research Design (if Scientific Research has been done)

Option Modules

  • Applied Deep Learning (5 ECTS)
  • Natural Language Technologies (5 ECTS)
  • Web Application Architectures (10 ECTS)

Semester 2 

  • Scientific Research
  • Data Management
  • Dissertation

Option Modules

  • UX Design (5 ECTS)
  • Programming for Big Data (5 ECTS)
  • Advanced Topics in Deep Learning (10 ECTS)

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Registration

The modules you should see are:

If there are a few versions of each module, go into “Restrictions” and pick the module that has TU060/1 OR TU060/2 mentioned. 

Once all modules are submitted – an error message may come up as shown in previous slide. Ignore this and go back out to the main page 

Confirm module selection and move on to uploading a photo and payment. 

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Where are you with Registration?

There is a login form provided in the “chat”:

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ID Cards

In order to get your student ID card:

  • Email parttimeid.city@TUDublin.ie an image
  • Your card will be posted out to you in due course
  • PT students can also have their ID Cards issued in person Rathdown House, Grangegorman:

Monday - Friday 09:00 - 13:00, 14:00 - 16:00�Tel: +353 1 220 6003�Email: studenthubdesk.city@tudublin.ie

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IT Accounts

Student accounts are issued by central TU Dublin Information Services to students who are eligible to register

If you have any questions or need help, please contact our IT Support Helpdesk :

Telephone: 01 220 5123

Email: itsupport.city@tudublin.ie

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Logging in �

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Logging in

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Logging in

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Location

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Location

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Central Quad – Ground Floor

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Difficulties

If you have any trouble completing assessments or exams or attending lectures please contact your stream mentor as soon as you can

TU Dublin has a range of facilities to help students complete a programme:

    • PC1 Personal Circumstances form
    • Appropriate documentation is always required
    • Deferral of a module
    • Deferral of exams

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Repeating a module

  • If you fail a module in semester 1 or semester 2, your next attempt is in the Supplemental Exams in August

  • Your module is then capped at 40% (unless you had extenuating circumstances in semester 1/semester 2)

  • If you fail any module twice, your final award in the Programme will be a PASS award

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Repeating a module

If you want to repeat the module internally, you need to do the following:

  • Students must contact computerscience@tudublin.ie / Assistant Head of School/ Programme Chairperson to confirm they are permitted to repeat internally.
  • Complete the Internal Repeat Form‌ in full and submit it to computerscience@tudublin.ie .
  • Your application form will be forwarded to Registrations.
  • You will then pay your fees online.

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Applying for Exemptions

Review Module in Programme Document/Module Catalogue

    • Available at http://ditmsc.blogspot.com

You must be able to

    • Demonstrate that you have achieved the learning outcomes
    • Provide documentary evidence in support
      • Certificates, artefacts, references

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Applying for Exemptions

Complete and return the exemption application form

    • Available at http://ditmsc.blogspot.com

These will be reviewed by the admissions and exemptions committee and you will be notified of the result

Applications must be in by the end of week 2

Send an email to andrea.f.curley@tudublin.ie

Exemptions are not allowed on option modules.

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Generative AI (GenAI)

  • The School of Computer Science have a policy on the use of GenAI described in more detail here

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What is Generative AI (GenAI)?

  • GenAI is a type of Artificial Intelligence that is designed to create new things like writing text, drawing pictures, or making music, all by learning patterns from existing data.

  • Programs like ChatGPT, Claude, Midjourney, and Co-Pilot are examples of GenAI.

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Different lecturers will wish you to use GenAI to different degrees.��So some might say “No GenAI allowed”, and others may say “GenAI allowed for everything”, and even others might say “GenAI for some things and not others”. ��Here’s a scale:

  • Please don’t use GenAI tools (like ChatGPT, DALL·E, GitHub Copilot, etc.) for assignments or coursework unless your lecturer gives clear permission.

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Why it is important?

  • It’s vitally important that you develop your own understanding and skills, and make your university experience as rich as possible.

  • Using GenAI without permission can count as academic misconduct.

  • So please always ask if you're unsure - we’re here to help!

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Other Services

TU Dublin also has a range of other services in place to help students

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What Now?

Get familiar with your timetables

Apply for exemptions if appropriate

Keep track of notices on the MSc blog

Enjoy yourselves!

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Questions?

?