• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Developing an understanding of stem cells, their epigenetic profiles and single cell heterogeneity. Developing an understanding of cell differentiation processes.

   Contribution to Program Outcomes

   1. Define and manipulate basic and advanced concepts in the field of Bioinformatics and Systems Biology
   2. Identify the changes in cellular and molecular mechanisms in health and disease from the perspective of bioinformatics and systems biology.
   3. Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results.
   4. Link the concepts belonging to the different disciplines and interpret & analyze scientific research in these disciplines.
   5. Acquire scientific knowledge and work independently
   6. Work effectively in multi-disciplinary research teams
   7. Develop an awareness of continuous learning in relation with modern technology
   8. Find out new methods to improve his/her knowledge.
   9. Effectively express his/her research ideas and findings both orally and in writing
   10. Communicate their research outcomes at seminars and conferences.

   Method of assessment

   1. Seminar/presentation
   2. Term paper
2. Developing an understanding of experimental techniques used in stem cell and epigenetics research

   Contribution to Program Outcomes

   1. Define and manipulate basic and advanced concepts in the field of Bioinformatics and Systems Biology
   2. Identify the changes in cellular and molecular mechanisms in health and disease from the perspective of bioinformatics and systems biology.
   3. Effectively express his/her research ideas and findings both orally and in writing

   Method of assessment

   1. Seminar/presentation
   2. Term paper
3. Experience in analysis and modelling of the data on stem cells, epigenetics and single cell heterogeneity.

   Contribution to Program Outcomes

   1. Define and manipulate basic and advanced concepts in the field of Bioinformatics and Systems Biology
   2. Process and analyze genome-scale biological data using statistical methods and data mining methods.
   3. Formulate, code, solve and analyze problems on biomolecular interactions by using an engineering viewpoint.
   4. Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results.
   5. Link the concepts belonging to the different disciplines and interpret & analyze scientific research in these disciplines.
   6. Acquire scientific knowledge and work independently
   7. Develop an awareness of continuous learning in relation with modern technology
   8. Find out new methods to improve his/her knowledge.
   9. Effectively express his/her research ideas and findings both orally and in writing
   10. Communicate their research outcomes at seminars and conferences.

   Method of assessment

   1. Seminar/presentation
   2. Term paper

Contents
Week 1:	Stem cells and differentiation processes
Week 2:	Literature Seminars I: Current topics on different stem cell types
Week 3:	Literature Seminars II: Current topics on different stem cell types
Week 4:	Impact of epigenetic factors on stem cells
Week 5:	Literature Seminars III: Current topics on epigenetics
Week 6:	Literature Seminars IV: Current topics on epigenetics
Week 7:	Experimental and computational methods on single cell heterogeneity
Week 8:	Literature Seminars V: Current topics on single cell heterogeneity
Week 9:	Literature Seminars VI: Current topics on single cell heterogeneity
Week 10:	Seminars on Implementations I: Implementing the data analysis methods
Week 11:	Seminars on Implementations II: Implementing the data analysis methods
Week 12:	Mathematical Modelling of Stem Cell Differentiation Processes
Week 13:	Seminars on Implementations III: Implementing the modelling methods
Week 14:	Seminars on Implementations IV: Implementing the modelling methods
Week 15*:	Final Presentations
Week 16*:	Final Presentations
Textbooks and materials:	Recent literature on stem cells, epigenetics, cell fate, single cell heterogeneity
Recommended readings:	Recent literature on stem cells, epigenetics, cell fate, single cell heterogeneity
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:		0
Other in-term studies:	3,7,11,14	70
Project:	16	30
Homework:		0
Quiz:		0
Final exam:		0
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	16
Own studies outside class:	6	14
Practice, Recitation:	2	14
Homework:	0	0
Term project:	30	1
Term project presentation:	1	1
Quiz:	0	0
Own study for mid-term exam:	0	0
Mid-term:	0	0
Personal studies for final exam:	0	0
Final exam:	0	0
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)