Special Topics I

Special Topics I

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Core Specialized Courses

Graduate School of Social Sciences

All

KCWMS5MCA1

2.00Credits

講義 (Lecture)

Fall semester 2026

(Fall semester)

Jean-Baptiste SANFO

Graduate School of Social Sciences

English

9

Before or after class, in the classroom

Office: Research Building I Room A 204

sanfo@em.u-hyogo.ac.jp

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N/a

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【Course Objectives】

This course focuses on Data Science and Machine Learning for Business Research. It aims to:

Expose students to modern data-driven methods used in business research
Guide students to develop the ability to critically evaluate machine learning applications in academic and applied business contexts
Bridge traditional econometrics and modern machine learning approaches
Prepare students to conduct independent, data-driven research projects using


【Learning Outcome】

By the end of this course, students will be able to:

1. Demonstrate understanding of artificial intelligence applications in business
2. Apply selected machine learning methods to business-related datasets
3. Evaluate model performance and limitations
4. Interpret and explain machine learning results for research and decision-making
5. Design and present an independent research project using data science tools

AI, machine learning, business analytics, predictive analytics

【Course Overview】

This course introduces artificial intelligence (AI) in business, with a practical focus on data science and machine learning for real-world business research and decision-making. Students will learn when and how machine learning tools can be used to analyze complex business data, alongside traditional econometric methods. Rather than focusing on programming, the course emphasizes designing good research questions, understanding results, and critically evaluating AI-based insights for managerial and policy decisions.

Hybrid (In-person)

The course combines lectures, guided discussions of academic papers, hands-on data analysis, and student-led presentations. Emphasis is placed on understanding intuition, interpreting results, and connecting methods to real business research questions.

Limited permission for use

Students are required to comply with the University of Hyogo's policy regarding the use of generative AI tools. Generative AI may be used as a supplementary aid for learning activities such as drafting reports or conducting preliminary research, provided that students critically assess the content produced. Students are responsible for verifying the accuracy of all information, properly acknowledging sources and references, and ensuring that submitted work reflects their own understanding and independent effort. Assignments generated primarily by generative AI, or submitted without appropriate revision and original contribution, are not permitted.

If inappropriate use of generative AI is identified, the assignment may receive no credit or other academic measures may be taken in accordance with university regulations.

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost & Tom Fawcett

ISBN-10: 1449361323
ISBN-13: 978-1449361327

【Pre-Learning】Students will be provided with lecture notes and handouts beforehand. Please read them before the class.

【Post-Learning】Lecture notes and handouts will contain exercises or questions. Please review them after the class.

Students will be asked to share their understanding of given concepts or asked to report orally what they discussed in groups.

Engagement in classroom activities (20%)
Assignments (20%)  
Mid-term Evaluation (30%)
Final evaluation (30%)

In the classroom

Regular attendance is required.

N/A

Remember that making mistakes is a natural part of the learning process. Don’t fear mistakes; instead, view them as valuable opportunities for growth. Be proactive in your learning by seeking help, asking questions, and sharing your thoughts. Learning is a collaborative effort, and I’m here to support you every step of the way. Just as you are learning, so am I; together, we can create a positive and enriching experience. Let’s engage, explore, and learn from each other!