Syllabus data
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Teacher name ： Saddam Khalid
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Course Title
Thesis Seminar 1
Course Title in English
Thesis Seminar 1
Course Type
Major Courses
-
Eligible Students
School of Economics and Management
Target Grade
3Year
Course Numbering Code
KCCBG3MCA3
Credits
2.00Credits
The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Type of Class
演習 (Seminar)
Eligible Year/Semester
Spring semester 2026
(Spring semester)
Instructor
Saddam Khalid
Affiliation
School of Economics and Management
Language of Instruction
English
Related SDGs
1／8／9
Office Hours and Location
9 am to 6 pm / Research Building 1 3rd Floor Room 323
Contact
Email: saddamsadozai@gmail.com
saddamsadozai@em.u-hyogo.ac.jp Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
1◎／3◎／4◎
Corresponding Graduate School DP
ー
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
Ability to keep polishing／Ability to teach and lean on／Ability to collaborate
Course Objectives and Learning Outcome
Building on Principles of Research Design this course aims
• to extend and deepen the understanding of different research approaches and methodologies • prepare students for their own research projects in their business discipline. • assist students in identifying, discussing and formulating a research problem • selecting and applying appropriate research approaches and methods of inquiry (both quantitative or qualitative), and in presenting their results. • successful completion of this course should be sufficient for students to undertake a research project. Subtitle and Keywords of the Class
Course Overview and Schedule
Week 1: Students Presentations on their Qualitative Studies in Entrepreneurship Part1
Week2: Students Presentations on their Qualitative studies in Entrepreneurship Part 2 Week3: Students Presentations on their Experimental Studies in Entrepreneurship Part1 Week4: Students Presentations on their Experimental Studies in Entrepreneurship Part 2 Week5: Students Presentations on their Survey Studies in Entrepreneurship Part 1 Week6: Students Presentations on their Survey Studies in Entrepreneurship Part 2 Week7: Students Presentations on their Data Analysis Using R part 1 Week8: Students Presentations on their Data Analysis Using R Part 2 Week9: Students Presentations on their Data Analysis Using R part 3 Week 10: Students Presentations on their Academic Writing Part 1 Week11: Students Presentations on their Academic Writing part 2 Week12: Students Presentations on their Academic Writing Part 3 Week 13: Students Presentations on their Final Presentations Week !4: Students Presentations on their Final Presentations Week 15 Final Thesis Submission In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
• In-person classes only
• Not subject to the cap on distance-education credits Uses of Generative AI
Fully permitted
Precautions for using Generative AI
When using generative AI, please pay attention to the contents described in “Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)”.
Textbook
Acs, Z., & AUDRETSCH, D. (Eds.). (2006). Handbook of entrepreneurship research: An interdisciplinary survey and introduction (Vol. 1). Springer Science & Business Media.
References
Cooper, D. R., Schindler, P. S., & Sun, J. (2006). Business research methods (Vol. 9, pp. 1-744). New York: Mcgraw-hill.
Bell, E., Bryman, A., & Harley, B. (2018). Business research methods. Oxford university press. Bell, E., Bryman, A., & Harley, B. (2018). Business research methods. Oxford university press. Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Two hours before and after the class
Contents of Active Learning
Week 1: Introduction to undergraduate thesis, expectations, and seminar structure Week 2: Identifying research interests and formulating research questions Week 3: Reading academic literature and developing effective learning strategies Week 4: Organizing and writing a basic literature review Week 5: Academic writing skills and logical paragraph construction Week 6: Research design and methodology selection Week 7: Research ethics, data sources, and research planning Week 8: Introduction to data types, variables, and data structure Week 9: Basic quantitative data analysis and interpretation Week 10: Basic qualitative data analysis and thematic coding Week 11: Writing and presenting research results Week 12: Discussion writing and linking results to existing literature Week 13: Referencing, formatting, and academic integrity Week 14: Thesis proposal presentation and comprehensive feedback Grading Criteria and Methods
Attendance Class Participation 20%
Assignments 20% Presentations 20% T Term paper/research proposal 40% How to Disclose Assignments and Exam Results
Weekly Feedback will be given on Assignment and Tests
Precautions and Requirements for Course Registration
Lectures, class participation, discussions on research papers, and presentations are planned as class activities. All students are advised to participate in said activities, failing which students will suffer in respect of learning and grades. In order to assess achievement of course objectives and attainment of learning outcomes, there will be a mechanism of formative evaluation. The students also need to submit the term paper//research proposal at end of semester. Guidelines will be provided to write the term paper.
Important Note: This class is scheduled to be conducted in person on campus. However, depending on the number of students enrolled, as a measure against coronavirus infection, the students may need to be divided into classrooms which are connected online, or the students may need to take classes on line from home every other week. Therefore, students will need to arrange for an Internet environment using a PC or tablet, Wi-Fi, etc. The final decision about this will be made after registration is completed, and students will be notified about any changes at that time Practical Education
This lecture does not apply
Remarks
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.
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