SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
70619MEEOS-CME0292	Entrepreneurship in Software Industry	1	Spring	3	0	3	6

Course Type :	Departmental Elective
Cycle:	Master      TQF-HE:7. Master`s Degree      QF-EHEA:Second Cycle      EQF-LLL:7. Master`s Degree
Language of Instruction:	English
Prerequisities and Co-requisities:	N/A
Mode of Delivery:	Face to face
Name of Coordinator:
Dersin Öğretim Eleman(lar)ı:	Dr. Öğr. Üyesi ÖZLEM FEYZA ERKAN
Dersin Kategorisi:

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:

The Software Entrepreneurship course aims to introduce the concepts, techniques, standards, skills, theories, models, methodologies, and practices necessary to start a new software company or innovate an existing one. In addition to lectures, students carry out collaborative team projects, work on case studies, and engage in entrepreneurship research. The course aims to: • Communicate to students concepts, theories, techniques, models and methods of entrepreneurship. • Promoting entrepreneurship and innovative thinking in the software field. • Present techniques and processes for identifying new software business opportunities. • Explore approaches to risk analysis and management. • Introduction to different types of entrepreneurship. • Presentations of marketing, accounting, financial analysis and planning concepts, techniques and theories related to software.

Course Content:

PROJECT AND CASE STUDIES The projects and case studies planned in this course will help develop your entrepreneurial spirit. Both projects and case studies will be team-based activities. Teams are made up of interdisciplinary teams wherever possible. All projects are inherently applicable. The project drowns out various computer science and software development courses, with one major exception to the outcome. In traditional courses, results are primarily based on algorithms, programming languages, computer tools, and design. For entrepreneurship projects, results are guided by entrepreneurship and computational thinking. Students are encouraged to use their computational and innovative thinking skills to propose software products that demonstrate practical and applied value, and to use their business skills to anticipate demand and seize significant software business opportunities. COURSE EVALUATION • Exams: Students are asked multiple-choice questions to measure their entrepreneurial and innovative thinking skills. Both mentors and faculty participate in preparing for these exams. • Presentations by guest speakers: After listening to her speaker's presentation, students are required to write a report detailing lessons learned, existing risks and problems, and potential improvements. • Project: A software-based entrepreneurial project is provided for the purpose of evaluating the points described in the survey results. • Case Study: Case studies reflect real business cases as much as possible. We plan to offer two case studies per semester. • Research papers: A variety of entrepreneurial topics will be offered on the first day of class. Students select a topic from a list of topics of interest and are asked to collect as many papers on that topic as possible. Contributions should be drawn from journals, books and conferences.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:

Knowledge (Described as Theoritical and/or Factual Knowledge.)

Skills (Describe as Cognitive and/or Practical Skills.)

Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks:	Bob Walsh - The Web Startup Success Guide (Books for Professionals by Professionals) (2009) Eric Ries - The Lean Startup_ How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses -Crown Business (2011) Josh Tyler - Building Great Software Engineering Teams_ Recruiting, Hiring, and Managing Your Team from Startup to Success-Apress (2015)
References:

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )

CLOs/PLOs	KPLO 1	KPLO 2	KPLO 3					KPLO 4
	1	1	1	2	3	4	5	1	2	3	4	5	6

Level of Contribution of the Course to PLOs

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	Owns advanced theoretical and applied knowledge in the field of computer science and engineering.
	1.1 Owns the comprehensive knowledge about advanced techniques and methods and their limitations applied in the field of computer science and engineering.
2)	Performs advanced application and development in the field of computer science and engineering, reaches, evaluates and applies information.
	2.1 Reaches knowledge broadly and deeply by application and development in the field of computer science and engineering, evaluates, interprets and applies knowledge.
3)	Defines the problem, accesses data, uses knowledge from different disciplines, designs researches, designs system and process, develops solution methods in order to solve current problems in the field of computer science and engineering.
	3.1 Complements and applies knowledge with scientific methods using uncertain, limited or incomplete data; can use information from different disciplines together.
	3.2 Has awareness of the new and developing applications of his/her profession, examines and learns them when needed.
	3.3 Defines and formulates the problems related to the field, develops methods for solution and applies innovative methods.
	3.4 Develops new and/or novel ideas and methods; designs complex systems or processes and develops innovative/alternative solutions in his/her designs.
	3.5 Designs and implements theoretical, experimental and modeling-based research; examines and solves complex problems encountered in this process.
4)	Has the necessary skills and competencies to perform his/her profession in the most effective way and to constantly improve himself/herself.
	4.1 Can work effectively in disciplinary and multi-disciplinary teams, lead such teams and develop solution approaches in complex situations; can work independently and take responsibility.
	4.2 Acquires communication in a Foreign Language (English) competence defined on the level of at least B2 in European Language Portfolio.
	4.3 Conveys the processes and results of his/her studies systematically and clearly in written or verbal form in national and international environments in that field or outside the field.
	4.4 Knows the social, environmental, health, safety, legal aspects of engineering applications, project management and business life applications, and is aware of the constraints they impose on engineering applications.
	4.5 Observes social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities.
	4.6 Owns the institutional competencies on the graduate level defined by Beykoz University.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Presentation	1	% 10.00
Project	2	% 20.00
Midterms	1	% 20.00
Semester Final Exam	1	% 50.00
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE