COURSE UNIT TITLE

: DARK MATTER RESEARCH

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PHY 5107 DARK MATTER RESEARCH ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR MUHAMMED DENIZ

Offered to

PHYSICS
PHYSICS

Course Objective

Serve as an accessible bridge between the theory and the modern up-to-date experiments on dark matter searches including direct detection as well as the collider and indirect detections. In addition, learn the basic concepts of particles physics, astrophysics and cosmology.

Learning Outcomes of the Course Unit

1   Learning the history and evidence for the existence of Dark Matter.
2   Learning Particle Physics connection with the Dark Matter concepts in Astronomy and Astrophysics.
3   Learning direct detection of Dark Matter.
4   Learning indirect detection techniques and collider searches for dark matter.
5   A good understanding for recent hot topics and further to discussion in the international conference.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1. Introduction and Some Basics
2 2. The Expanding Universe
3 3. Dark Energy - Giant Black Holes
4 4. First Light in the Universe
5 5. Gamma-Ray Bursts
6 6. Solar System Formation
7 MIUDTERM
8 7. Stars and Planets
9 8. The World of Galaxies
10 9. Cosmology and the Deep Universe
11 10. Introduction to Cosmic Ray
12 11. Cosmic Ray Acceleration and Propagation
13 12. Dark Matter Search
14 13. Presentations: Latest Dark Matter Experiement Results
15 14. Presentations: Latest Dark Matter Experiement Results

Recomended or Required Reading

Textbook(s):
Gianfranco Bertone (2010), PARTICLE DARK MATTER Observations, Models and Searches, 1st edition, Cambridge University Press, New York.

Supplementary Book(s):
1. Lefteris Papantonopoulos (2007), The invisible Universe: Dark Matter and Dark Energy, Springer, Berlin Heidelberg.
2. Robert H. Sanders, (2010), THE DARK MATTER PROBLEM A Historical Perspective, 1st edition, Cambridge University Press, New York.
3. Ken Freeman and Geoff McNamara, (2006), In Search of Dark Matter, Springer, in association with Praxis Publishing, Chichester, UK.

References:
1. J.D. Lewin, P.F. Smith,(1996), Review of mathematics, numerical factors and corrections for dark matter experiments based on elastic nucleus recoil , Astroparticle Physics, 87-112.
2. Marco Cirelli, (2012), Indirect Searches for Dark Matter: a status review, Proceeding of Lepton-Photon 2011, Mumbai, India. arXiv: 1202.1454

Planned Learning Activities and Teaching Methods

1. Method of Expression
2. Question & Answer Techniques
3. Discussion
4. Homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. Midterm report and assignments are taken as the achievements of students for the semester.
2. Final exam will be added to the success of the study of midterms and assignments, thereby the student's success will be determined.

Language of Instruction

English

Course Policies and Rules

1. 70% of the participation of classes is mandatory.
2. Students, who do not participate in Midterm exams and not do regular assignments, are not allowed to enter the final exam.
3. Every trial of cheating will be punished according to disciplinary proceedings.

Contact Details for the Lecturer(s)

muhammed.deniz@deu.edu.tr

Office Hours

Monday at 13: 00 - 15: 00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Practice (Reflection) 3 3 9
Preparations before/after weekly lectures 12 5 60
Preparing assignments 6 5 30
Preparation for midterm exam 2 5 10
Preparation for final exam 1 5 5
Final 1 3 3
Midterm 2 3 6
Quiz etc. 6 3 18
TOTAL WORKLOAD (hours) 177

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15553322533
LO.25555445453
LO.35445445453
LO.45445445453
LO.55555555453