Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics

Florenc Demrozi; Marina Marchisio; Tiziana Margaria; Matteo Sacchet

doi:10.1109/COMPSAC57700.2023.00243

Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics

Florenc Demrozi
, Marina Marchisio
, Tiziana Margaria
, Matteo Sacchet

University of Stavanger
University of Limerick
University of Turin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023
Editors	Hossain Shahriar, Yuuichi Teranishi, Alfredo Cuzzocrea, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Hiroki Kashiwazaki, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
Publisher	IEEE Computer Society
Pages	1576-1581
Number of pages	6
ISBN (Electronic)	9798350326970
DOIs	https://doi.org/10.1109/COMPSAC57700.2023.00243
Publication status	Published - 2023
Externally published	Yes
Event	47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023 - Hybrid, Torino, Italy Duration: 26 Jun 2023 → 30 Jun 2023

Publication series

Name	Proceedings - International Computer Software and Applications Conference
Volume	2023-June
ISSN (Print)	0730-3157

Conference

Conference	47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023
Country/Territory	Italy
City	Hybrid, Torino
Period	26/06/23 → 30/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Collaborative learning
Data Analytics
Example Eliciting Tasks
Flipped-Classrooms
Immersive Software Engineering
Learning-by-Doing
Mathematics Education
OER

Access to Document

10.1109/COMPSAC57700.2023.00243

Cite this

Demrozi, F., Marchisio, M., Margaria, T., & Sacchet, M. (2023). Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, AKM. J. A. Majumder, H. Kashiwazaki, J.-J. Yang, M. Takemoto, N. Sakib, R. Banno, & S. I. Ahamed (Eds.), Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023 (pp. 1576-1581). (Proceedings - International Computer Software and Applications Conference; Vol. 2023-June). IEEE Computer Society. https://doi.org/10.1109/COMPSAC57700.2023.00243

Demrozi, Florenc ; Marchisio, Marina ; Margaria, Tiziana et al. / Experiences from the first delivery of a new immersive software engineering course : Mathematical foundations and data analytics. Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. editor / Hossain Shahriar ; Yuuichi Teranishi ; Alfredo Cuzzocrea ; Moushumi Sharmin ; Dave Towey ; AKM Jahangir Alam Majumder ; Hiroki Kashiwazaki ; Ji-Jiang Yang ; Michiharu Takemoto ; Nazmus Sakib ; Ryohei Banno ; Sheikh Iqbal Ahamed. IEEE Computer Society, 2023. pp. 1576-1581 (Proceedings - International Computer Software and Applications Conference).

@inproceedings{29a30f811de44d709205b550ea2e45f1,

title = "Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics",

abstract = "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.",

keywords = "Collaborative learning, Data Analytics, Example Eliciting Tasks, Flipped-Classrooms, Immersive Software Engineering, Learning-by-Doing, Mathematics Education, OER",

author = "Florenc Demrozi and Marina Marchisio and Tiziana Margaria and Matteo Sacchet",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023 ; Conference date: 26-06-2023 Through 30-06-2023",

year = "2023",

doi = "10.1109/COMPSAC57700.2023.00243",

language = "English",

series = "Proceedings - International Computer Software and Applications Conference",

publisher = "IEEE Computer Society",

pages = "1576--1581",

editor = "Hossain Shahriar and Yuuichi Teranishi and Alfredo Cuzzocrea and Moushumi Sharmin and Dave Towey and Majumder, \{AKM Jahangir Alam\} and Hiroki Kashiwazaki and Ji-Jiang Yang and Michiharu Takemoto and Nazmus Sakib and Ryohei Banno and Ahamed, \{Sheikh Iqbal\}",

booktitle = "Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023",

}

Demrozi, F, Marchisio, M, Margaria, T & Sacchet, M 2023, Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics. in H Shahriar, Y Teranishi, A Cuzzocrea, M Sharmin, D Towey, AKMJA Majumder, H Kashiwazaki, J-J Yang, M Takemoto, N Sakib, R Banno & SI Ahamed (eds), Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. Proceedings - International Computer Software and Applications Conference, vol. 2023-June, IEEE Computer Society, pp. 1576-1581, 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023, Hybrid, Torino, Italy, 26/06/23. https://doi.org/10.1109/COMPSAC57700.2023.00243

Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics. / Demrozi, Florenc; Marchisio, Marina; Margaria, Tiziana et al.
Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. ed. / Hossain Shahriar; Yuuichi Teranishi; Alfredo Cuzzocrea; Moushumi Sharmin; Dave Towey; AKM Jahangir Alam Majumder; Hiroki Kashiwazaki; Ji-Jiang Yang; Michiharu Takemoto; Nazmus Sakib; Ryohei Banno; Sheikh Iqbal Ahamed. IEEE Computer Society, 2023. p. 1576-1581 (Proceedings - International Computer Software and Applications Conference; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

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KW - OER

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M3 - Conference contribution

AN - SCOPUS:85168874460

T3 - Proceedings - International Computer Software and Applications Conference

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EP - 1581

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A2 - Shahriar, Hossain

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A2 - Cuzzocrea, Alfredo

A2 - Sharmin, Moushumi

A2 - Towey, Dave

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A2 - Kashiwazaki, Hiroki

A2 - Yang, Ji-Jiang

A2 - Takemoto, Michiharu

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PB - IEEE Computer Society

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ER -

Demrozi F, Marchisio M, Margaria T, Sacchet M. Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics. In Shahriar H, Teranishi Y, Cuzzocrea A, Sharmin M, Towey D, Majumder AKMJA, Kashiwazaki H, Yang JJ, Takemoto M, Sakib N, Banno R, Ahamed SI, editors, Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. IEEE Computer Society. 2023. p. 1576-1581. (Proceedings - International Computer Software and Applications Conference). doi: 10.1109/COMPSAC57700.2023.00243

Experiences from the first delivery of a new immersive software engineering course: Mathematical foundations and data analytics

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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