2021-2022 Acaedmic Year

    Semester 2

    Student Seminars - Open to all students

    DATE NAME AFFILIATION TITLE
    Monday, 28 March 2022 @ 2:00pm  Dr Seamus Lafferty President of Accraply  Realizing What Is Possible at the Intersection of Potential and Opportunity

     

    Student Seminars - Open to Postgraduate students ONLY

    DATE NAME AFFILIATION TITLE
    Wednesday, 9th March 2022, from 12:00-1:00pm Anthony Macken and Chris Sibley Central Statistics Office Careers Workshop
    Wednesday, 2nd March 2022, from 12:30-1:30pm Gerard Brady Irish Business and Employers Confederation Careers Workshop

     

    Big Data and Machine Learning Workshop - Open to Postgraduate and MU Economics Alumni students only


    The workshop consists of three 1.5-hour interactive online lectures:
    Feb 23, Wednesday, 3:00 pm-4:30 pm
    March 2, Wednesday, 3:00 pm-4:30 pm
    March 9, Wednesday, 3:00 pm- 4:30 pm
     
    The recording of the lectures will be available to people who register and attend the workshop - either live-sessions or online videos. 
     
    While the lectures will take 4-5 hours in total, you should set an additional aside 2-3 hours each week as there will be assignments after each lecture. 
     
    Deadline for Registration: February 16th, 5pm
     
    To register for the workshop please send an email to: "Tracy Travers" <Tracy.Travers@mu.ie>
      
    Why Machine Learning? Machine Learning is a form of artificial intelligence. It effectively automates the process of analytical model building and allows machines to adapt to new scenarios independently.
     
    The exponential increase in the availability of technology capable of gathering and processing large quantities of data, big data and machine learning applications have become increasingly common in many fields including economics.
     
    This workshop will allow you to understand the core concepts beyond the buzzwords and investigate some recent and interesting examples of economics works based on big data and machine learning.
     
    The seminars are mostly theoretical and programming experience is not required to attend nor follow the workshop.
     

    Semester 1
     

    STUDENT SEMINARS 
     

    DATE NAME AFFILIATION TITLE
    Wednesday, 1st December 2021, from 12:30-1pm Conan Mc Lucas Enactus Enactus 101 - Enactus aim to tackle the problems of today whilst creating the leaders of tomorrow

     

    STUDENT WORKSHOPS 
     

    GIS for Economics WORKSHOP
    Spatial Data - Geographic Information System

    The workshop consists of four interactive online lectures on Wednesdays from 11 am to 12:30 pm from October 6th to October 27, 2021. 
    The recording of the lectures will be available to registered students.
     
    This workshop is not a module. There are no exams,  nor are there credits for the workshop.  It is completely on a voluntary basis. The department will give a certificate of attendance.
     
    While the lectures will take 5-6 hours in total, you should set an additional aside 2-3 hours each as there will be assignments after each lecture.
     
    The demonstrations will be carried out using the software qgis, which is free to download and available on appseverywhere. No previous knowledge of the software is required.
     
    Deadline for Registration: October 1st, 5pm
    To register for the workshop please send an email to: "Tracy Travers" <Tracy.Travers@mu.ie>
     
    What is GIS: A geographic information system (GIS) is a system that creates, manages, analyzes, and maps all types of data. GIS connects data to a map, integrating location data (where things are) with all types of descriptive information (what things are like there). This provides a foundation for mapping and analysis that is used in science and almost every industry. GIS helps users understand patterns, relationships, and geographic context. The benefits include improved communication and efficiency as well as better management and decision making.
     
    Prior experience with GIS is very much valued by employers. It can be very useful to students who will undertake an undergraduate thesis and a master's thesis as well as to academic researchers. 

    Careers Workshop
    Realizing What Is Possible at the Intersection of Potential and Opportunity