| Biomedical Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | UNI282 | ||||
| Course Name: | Entrepreneurship Ecosystem | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | University Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Dr. Öğr. Üy. İSMAİL ERGEN | ||||
| Course Lecturer(s): |
Dr. Öğr. Üy. İSMAİL ERGEN |
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| Course Assistants: |
| Course Objectives: | The aim of this course is for students from different departments to learn about entrepreneurship and to learn about inspiring ideas and generating them from experienced people from the sector. |
| Course Content: | The content of this course is to learn the basic concepts used in the entrepreneurship ecosystem. To gain the ability to develop new ideas and present them to investors with a pitch deck presentation and to have the opportunity to learn from experienced names in the sector. |
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The students who have succeeded in this course;
1) To have knowledge about entrepreneurship. 2) Being able to make pitch deck presentations to present entrepreneurial ideas. 3) Having knowledge about Design Thinking 4) Being able to think of new and creative entrepreneurial ideas |
| Week | Subject | Related Preparation |
| 1) | Introduction to Entrepreneurship. This lesson is a beginner level entrepreneurship education that explains the basicconcepts and building blocks of entrepreneurship. | No need to preparation. |
| 2) | Design Thinking. Design Thinking, which is a non-linear, iterative process aimed at understanding users, challenging assumptions, redefining problems, and creating innovative solutions for prototyping and testing, is a groundbreaking method for startups and organizations alike. | No need to preparation. |
| 3) | Lean Startup. Lean entrepreneurship is a methodology that offers a scientific perspective to entrepreneurs and aspiring entrepreneurs to be successful in their ventures that they will establish and manage. | No need to preparation. |
| 4) | Business Idea Development | No need to preparation. |
| 5) | Successful Team Building | No need to preparation. |
| 6) | User-Centered Product Design | No need to preparation. |
| 7) | MVP Development and Test Methods | No need to preparation. |
| 8) | No Code and Low Code Based Prototype Test | No need to preparation |
| 9) | Sales Strategies for Startups | No need to preparation. |
| 10) | Digital Marketing Training | No need to preparation. |
| 11) | OKR and Business Management Training | No need to preparation. |
| 12) | Entrepreneurial Psychology Training | No need to preparation. |
| 13) | Product Development Training | No need to preparation. |
| 14) | Customer Experience Training | No need to preparation |
| Course Notes / Textbooks: | Bu ders için ders kitabı yoktur. |
| References: | There is no book for this course. |
| Course Learning Outcomes | 1 |
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| Program Outcomes | |||||||||||
| 1) Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | |||||||||||
| 2) Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |||||||||||
| 3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |||||||||||
| 4) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively. | |||||||||||
| 5) Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics. | |||||||||||
| 6) Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills. | |||||||||||
| 7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language, ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
| 8) Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. | |||||||||||
| 9) Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices. | |||||||||||
| 10) Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |||||||||||
| 11) Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions. | |||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | |
| 2) | Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
| 3) | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |
| 4) | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively. | |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics. | |
| 6) | Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills. | |
| 7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language, ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| 8) | Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. | |
| 9) | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices. | |
| 10) | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |
| 11) | Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 30 |
| Final | 1 | % 70 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| total | % 100 | |
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 14 | 4 | 56 | ||||
| Project | 2 | 10 | 20 | ||||
| Midterms | 2 | 10 | 20 | ||||
| Final | 3 | 10 | 30 | ||||
| Total Workload | 126 | ||||||