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Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
Alexander Card – ProQuest LLC, 2022
One approach to teaching game design to students with a wide variety of disciplinary backgrounds is through team game projects that span multiple weeks, up to an entire term. However, open-ended, creative projects introduce a gamut of challenges to novice programmers. My goal is to assist game design students with the planning stage of their…
Descriptors: Computer Science Education, Programming, Scaffolding (Teaching Technique), Teaching Methods
Paschoal, Leo Natan; Melo, Silvana Morita; Neves, Vânia de Oliveira; Conte, Tayana Uchôa; Souza, Simone do Rocio Senger de – Informatics in Education, 2023
Nowadays, few professionals understand the techniques and testing criteria to systematize the software testing activity in the software industry. Towards shedding some light on such problems and promoting software testing, professors in the area have established Massive Open Online Courses as educational initiatives. However, the main limitation…
Descriptors: Computer Science Education, Computer Software, College Faculty, MOOCs
Iserte, Sergio; Tomas, Vicente R.; Perez, Miguel; Castillo, Maribel; Boronat, Pablo; Garcia, Luis A. – IEEE Transactions on Education, 2023
Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work situation where they must develop and solve a real project while working as a team. TPBL has been used in two advanced database…
Descriptors: Cooperative Learning, Student Projects, Active Learning, Teamwork
Tucker, Mary C.; Shaw, Stacy T.; Son, Ji Y.; Stigler, James W. – Journal of Statistics and Data Science Education, 2023
We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students' understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as…
Descriptors: Statistics Education, Undergraduate Students, Programming Languages, Student Attitudes
Güler, Çetin – Journal of Theoretical Educational Science, 2021
Algorithmic Thinking (AT) skills may be considered one of the necessary skills for everyone in the new century. Individuals and societies live in a time when they cannot avoid using information communication technologies (ICT). Hence, they need to be ICT literate. Teachers shall play an important role both for individuals and societies to address…
Descriptors: Thinking Skills, Computer Science Education, Information Technology, Elective Courses
Chang, Hung-Fu; Shokrolah Shirazi, Mohammad – Informatics in Education, 2022
Scrum is a widely-used framework in industry, so many schools apply it to their software engineering courses, particularly capstone courses. Due to the differences between students and industrial professionals, changing Scrum is necessary to fit capstone projects. In this paper, we suggest a decision-making process to assist instructors in…
Descriptors: Computer Science Education, Capstone Experiences, Learning Experience, Task Analysis
Stahl, Daniel; Sandahl, Kristian; Buffoni, Lena – IEEE Transactions on Education, 2022
Contribution: This article identifies the participation of external stakeholders as a key contributing factor for positive outcomes in project-based software engineering courses. A model for overlapping virtuous circles of lasting positive impact on both stakeholders and students from such courses is proposed. Background: Project-based courses are…
Descriptors: Student Projects, Active Learning, Engineering Education, Computer Science Education
Condorelli, Andrea; Malchiodi, Dario – Informatics in Education, 2022
We describe a collaboration between Marelli and Università degli Studi di Milano that allowed the latter to add a course on «Architectures for Big Data» in its Master programme of Computer Science, with the aim of providing a teaching approach characterized by an intertwined exposition of discipline, methodology and practical tools. We were…
Descriptors: School Business Relationship, Feedback (Response), Work Environment, Learning Activities
Worsley, Marcelo; Bar-El, David – Computer Science Education, 2022
Background and Context: Making is celebrated for bringing exciting tools and learning opportunities to non-traditional designers. However, people with disabilities may find themselves excluded from many making activities and makerspaces. This exclusion is present in making and computer science more broadly. Objective: We describe a university…
Descriptors: Inclusion, Students with Disabilities, College Students, Shared Resources and Services
Mike, Koby; Hazzan, Orit – Statistics Education Research Journal, 2022
Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…
Descriptors: Teaching Methods, Nonmajors, Statistics Education, Artificial Intelligence
Farrar, Emily J. – IEEE Transactions on Education, 2020
Contribution: This article illustrates how to design and implement a Design Thinking project in a biomedical instrumentation course as a bridge between education and industry. It also presents the effect of the project on student perceptions of their learning gains and their postgraduate preparedness. Background: Biomedical engineering continues…
Descriptors: Design, Biomedicine, Industry, Education Work Relationship
Babik, Dmytro – Journal of Information Systems Education, 2022
Agile system development approaches, such as Scrum, have become popular with a wide spectrum of organizations from start-ups to government agencies. Recruiters and executives have been seeking graduates with Scrum competency beyond cursory familiarity. CIS programs responded with a variety of activities and exercises to address this need. This…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Undergraduate Students
Tan, Wee Lum; Venema, Sven – International Association for Development of the Information Society, 2019
One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…
Descriptors: Logical Thinking, Computer Science Education, Introductory Courses, Correlation