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

Learning outcomes

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

1. Conduct a detailed literature review in a defined topic

   Contribution to Program Outcomes

   1. Define and manipulate basic and advanced concepts in the field of Bioinformatics and Systems Biology
   2. Acquire scientific knowledge and work independently
   3. Develop an awareness of continuous learning in relation with modern technology
   4. Find out new methods to improve his/her knowledge.

   Method of assessment

   1. Seminar/presentation
2. Report the findings of literature review

   Contribution to Program Outcomes

   1. Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results.
   2. Acquire scientific knowledge and work independently
   3. Effectively express his/her research ideas and findings both orally and in writing

   Method of assessment

   1. Seminar/presentation
3. Analyze and interpret the data collected through literature review

   Contribution to Program Outcomes

   1. Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results.
   2. Link the concepts belonging to the different disciplines and interpret & analyze scientific research in these disciplines.
   3. Acquire scientific knowledge and work independently
   4. Effectively express his/her research ideas and findings both orally and in writing
   5. Communicate their research outcomes at seminars and conferences.
   6. Grasp the importance of bioinformatics and systems biology based viewpoint in the analysis and interpretation of working principles of the cell.

   Method of assessment

   1. Seminar/presentation

Contents
Week 1:	Determination of seminar topic
Week 2:	Literature review about the defined topic
Week 3:	Literature review about the defined topic
Week 4:	Literature review about the defined topic
Week 5:	Analyzing the collected data
Week 6:	Analyzing the collected data
Week 7:	Analyzing the collected data
Week 8:	Analyzing the collected data
Week 9:	Preparing a report on the research findings
Week 10:	Preparing a report on the research findings
Week 11:	Preparing a report on the research findings
Week 12:	Preparation of draft seminar
Week 13:	Preparation of draft seminar
Week 14:	General overview on presentation techniques and formal report details
Week 15*:	Seminar presentations
Week 16*:	Seminar presentations
Textbooks and materials:	To be nominated as per the selected topic and content.
Recommended readings:	To be nominated as per the selected topic and content.
	* 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:	6,7,8,9,10,11,12	50
Project:	1,2,3,4,5,13,14,15,16	50
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):	0	0
Own studies outside class:	1	14
Practice, Recitation:	10	6
Homework:	0	0
Term project:	12	9
Term project presentation:	2	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)