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

Learning outcomes

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

1. Assess, interpret and apply data about their research area at the level of expertise

   Contribution to Program Outcomes

   1. Accessing scientific knowledge
   2. Developing knowledge and skills to adapt to rapidly changing technological environments
   3. Understanding the fundamental principles and applications of new tools and/or software necessary for thesis work
   4. Effectively expressing ideas and findings related to research topics orally and in writing
   5. Evaluating current research trends in atoms, molecules, and/or nanostructures
   6. Designing and conducting independent research projects
   7. Disseminating knowledge and engaging in interdisciplinary collaboration
   8. Writing progress reports based on published documents, theses, and articles
   9. Designing and executing research projects independently
   10. Formulating experiments, implementing them, reporting on them, and producing prototypes

   Method of assessment

   1. Seminar/presentation
2. Follow up current literature and developments

   Contribution to Program Outcomes

   1. Understanding and applying the principles of quantum mechanics to technological problems
   2. Accessing scientific knowledge
   3. Effectively expressing ideas and findings related to research topics orally and in writing
   4. Defining and applying advanced concepts of quantum technology
   5. Carefully reviewing the literature related to research projects and establishing connections between one's own findings and previous literature
   6. Designing and conducting independent research projects
   7. Disseminating knowledge and engaging in interdisciplinary collaboration
   8. Writing progress reports based on published documents, theses, and articles
   9. Defining and applying concepts of quantum computing
   10. Formulating experiments, implementing them, reporting on them, and producing prototypes

   Method of assessment

   1. Seminar/presentation

Contents
Week 1:	Research related to Master's thesis
Week 2:	Research related to Master's thesis
Week 3:	Research related to Master's thesis
Week 4:	Research related to Master's thesis
Week 5:	Research related to Master's thesis
Week 6:	Research related to Master's thesis
Week 7:	Research related to Master's thesis
Week 8:	Research related to Master's thesis
Week 9:	Research related to Master's thesis
Week 10:	Research related to Master's thesis
Week 11:	Research related to Master's thesis
Week 12:	Research related to Master's thesis
Week 13:	Research related to Master's thesis
Week 14:	Research related to Master's thesis
Week 15*:	Research related to Master's thesis
Week 16*:	Research related to Master's thesis
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:		0
Project:	1-16	100
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:	0	0
Practice, Recitation:	37	15
Homework:	0	0
Term project:	50	15
Term project presentation:	3	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)