Mastering Business Analysis in Various Context(MTH401)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| MTH401 | Mastering Business Analysis in Various Context | 7 | 3 | 0 | 0 | 3 | 4 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | French |
| Course Type | Elective |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Orhan FEYZİOĞLU ofeyzioglu@gsu.edu.tr (Email) Ayşe Duygu YAVUZ dyavuz@gsu.edu.tr (Email) |
| Assistant | |
| Objective |
The aim of this course is to provide students with the basic concepts and principles of business analysis discipline. In the business analysis process, it is of great importance to accurately define and analyze requirements and optimize business processes. In this course, students will be introduced to business analysis and will learn in detail how to collect and analyze requirements. In addition, a systems thinking approach will be used to provide a holistic view of business processes, thereby strengthening their ability to develop solutions to complex business problems. The course also focuses on stakeholder management and effective communication skills. Business analysts need to have strong communication skills in order to build healthy relationships with various stakeholders and understand their needs. In addition, the impact of Artificial Intelligence technologies, which are rapidly becoming widespread in the field of business analysis today, on business analysis processes will be discussed; students will gain knowledge and skills to understand the role of Artificial Intelligence in requirements specification, data analysis and decision support systems. |
| Content | - |
| Course Learning Outcomes |
Upon successful completion of this course, the student will be able to: 1. Learn and apply the basic concepts of business analysis discipline 2. Understand business analysis planning and strategy development processes 3. Evaluate business processes with systems and design thinking 4. Apply stakeholder analysis and requirements gathering techniques 5. Gain flexibility in Agile business analysis processes 6. Develop solution design and evaluation skills 7. Learn selected business analysis techniques in practice 8. Understand the impact of Artificial Intelligence on business analysis processes |
| Teaching and Learning Methods | |
| References |
1. IIBA, “A Guide to the Business Analysis Body of Knowledge (BABOK Guide)”, 3th version, International Institute of Business Analysis, 2015. 2. IIBA, “Agile Extension to the BABOK(R) Guide”, 2nd version, International Institute of Business Analysis, 2017. 3. IIBA, “Guide to Product Ownership Analysis”, International Institute of Business Analysis, 2017. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Fundamentals and Concepts of Business Analysis |
| 2 | Business Analysis Planning and Demonstration of Key Elements |
| 3 | Systems and Design Thinking |
| 4 | Strategy Analysis |
| 5 | Stakeholder Analysis and Information Collection Techniques |
| 6 | Requirements Gathering |
| 7 | Requirements Management |
| 8 | Midterm |
| 9 | Agile Methods in Business Analysis |
| 10 | Alignment of Business Analysis with Planning Horizons |
| 11 | Identification of Design and Solution Options |
| 12 | Solution Assessment |
| 13 | Application of Selected Business Analysis Techniques |
| 14 | The Impact of Artificial Intelligence on Business Analytics |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 1 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 2 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 0 | 0 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Make-up | 0 | 0 |
| Toplam | 0 | 0 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 14 | 2 | 28 |
| Assignments | 0 | 0 | 0 |
| Presentation | 0 | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Project | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Other Applications | 0 | 0 | 0 |
| Final Examinations (including preparation) | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Term Paper/ Project | 0 | 0 | 0 |
| Portfolio Study | 0 | 0 | 0 |
| Reports | 0 | 0 | 0 |
| Learning Diary | 0 | 0 | 0 |
| Thesis/ Project | 0 | 0 | 0 |
| Seminar | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Make-up | 0 | 0 | 0 |
| Total Workload | 95 | ||
| Total Workload / 25 | 3.80 | ||
| Credits ECTS | 4 | ||