Information Package / Course Catalogue
Computational Methods For Semiconductor Material
Course Code: EEE614
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

To determine the electronic properties of semiconductor materials, to model the material theoretically

Course Content

Electronic structure of solids, Density functional theory, Kohn Sham equations solutions

Name of Lecturer(s)
Learning Outcomes
1.To be able to describe the crystal properties of semiconductor materials
2.Interpreting electronic band structures
3.To be able to theoretically design semiconductor material
4.Ability to analyze the properties of matter
5.Ability to understand scientific publications on the subject
Recommended or Required Reading
1.Electronic Structure: Basic Theory and Practical Methods, Richard M. Martin, Cambridge
2.Many-Body Quantum Theory in Condensed Matter Physics: An Introduction, Henrik Bruus, Karsten Flensberg
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction
Week 2 - Theoretical
Periodic solids and electron band
Week 3 - Theoretical
Uniform gas and simple metals
Week 4 - Theoretical
Introduction to the Density Functional Theory
Week 5 - Theoretical
Basis of the Density Functional Theory
Week 6 - Theoretical
Solving Kohn-Sham equation
Week 7 - Theoretical
Kohn-Sham auxiliary system
Week 8 - Theoretical
Repeat chapters - Midterm Exam.
Week 9 - Theoretical
Functional for exchange and correlation
Week 10 - Theoretical
Functional for exchange and correlation
Week 11 - Theoretical
Functional for exchange and correlation
Week 12 - Theoretical
Electronic structures of atoms
Week 13 - Theoretical
Predicting properties of matter from electronic structure – recent developments
Week 14 - Theoretical
Predicting properties of matter from electronic structure – recent developments
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Term Assignment1%70
Quiz1%5
Midterm Examination1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1493168
Assignment1426
Term Project17310
Quiz1426
Midterm Examination17310
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
5
4
3
3
4
5
5
4
3
3
4
5
OÇ-2
4
5
3
3
5
4
5
5
4
3
5
4
OÇ-3
3
5
4
5
4
3
5
5
3
4
5
5
OÇ-4
5
5
4
3
5
4
3
5
4
5
3
5
OÇ-5
4
5
4
3
5
4
4
5
4
3
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026