TY - GEN
T1 - Experiences from the first delivery of a new immersive software engineering course
T2 - 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023
AU - Demrozi, Florenc
AU - Marchisio, Marina
AU - Margaria, Tiziana
AU - Sacchet, Matteo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - According to data from the US Bureau of Labor Statistics, the number of job postings for software engineers has steadily increased over the past few years and is expected to grow by 22% from 2019 to 2029. This paper presents the pedagogical experience within the new Immersive Software Engineering (ISE) program concerning mathematical foundations and data analytics topics. These topics were designed to cover essential mathematical concepts such as calculus, linear algebra, probability, and statistics and their integration within data analytic tools and techniques such as time-series forecasting, data cleaning, data visualization, and introduction to pattern recognition. In addition, hands-on projects and real-world applications were incorporated throughout the course to provide students with practical experience in these areas. We reflect on the first delivery of the ISE course, which provided students with a new innovative blended learning environment, and how it will be further developed towards Open Educational Resources (OER) components and refined to respond to the rapidly evolving needs of the software engineering industry.
AB - According to data from the US Bureau of Labor Statistics, the number of job postings for software engineers has steadily increased over the past few years and is expected to grow by 22% from 2019 to 2029. This paper presents the pedagogical experience within the new Immersive Software Engineering (ISE) program concerning mathematical foundations and data analytics topics. These topics were designed to cover essential mathematical concepts such as calculus, linear algebra, probability, and statistics and their integration within data analytic tools and techniques such as time-series forecasting, data cleaning, data visualization, and introduction to pattern recognition. In addition, hands-on projects and real-world applications were incorporated throughout the course to provide students with practical experience in these areas. We reflect on the first delivery of the ISE course, which provided students with a new innovative blended learning environment, and how it will be further developed towards Open Educational Resources (OER) components and refined to respond to the rapidly evolving needs of the software engineering industry.
KW - Collaborative learning
KW - Data Analytics
KW - Example Eliciting Tasks
KW - Flipped-Classrooms
KW - Immersive Software Engineering
KW - Learning-by-Doing
KW - Mathematics Education
KW - OER
UR - http://www.scopus.com/inward/record.url?scp=85168874460&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC57700.2023.00243
DO - 10.1109/COMPSAC57700.2023.00243
M3 - Conference contribution
AN - SCOPUS:85168874460
T3 - Proceedings - International Computer Software and Applications Conference
SP - 1576
EP - 1581
BT - Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023
A2 - Shahriar, Hossain
A2 - Teranishi, Yuuichi
A2 - Cuzzocrea, Alfredo
A2 - Sharmin, Moushumi
A2 - Towey, Dave
A2 - Majumder, AKM Jahangir Alam
A2 - Kashiwazaki, Hiroki
A2 - Yang, Ji-Jiang
A2 - Takemoto, Michiharu
A2 - Sakib, Nazmus
A2 - Banno, Ryohei
A2 - Ahamed, Sheikh Iqbal
PB - IEEE Computer Society
Y2 - 26 June 2023 through 30 June 2023
ER -
