(Between the 2013-2019 Academic Years) Course Structure Diagram with Credits


To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.

1. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
GS 593Research Design and Methods in Engineering3030
ELEC 001Elective Course I0000
ELEC 002Elective Course II0000
ELEC 003Elective Course III0000
Total 0
1. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
ELEC 004Elective Course IV3037.5
ELEC 005Elective Course V3037.5
ELEC 006Elective Course VI3037.5
GS 595Seminar0007.5
Total 30
2. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
GS 599Master Thesis00030
Total 30
2. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
GS 599Master Thesis00030
Total 30
Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
BEN 501Statistical Design and Analysis of Bioengineering Studies3037.5
BEN 502Transport Phenomena3037.5
BEN 503Advanced Molecular Biology 3037.5
BEN 504Advanced Biomedical Engineering3037.5
BEN 505Advanced Fermentation Technologies3037.5
BEN 506Biofuels3037.5
BEN 509Enzyme Kinetics2137.5
BEN 511Designing with Biomaterials2137.5
BEN 512Design Methods for Biosystems3037.5
BEN 513Molecular Basis of Gene Therapy3037.5
BEN 514Epigenetic Bases of Human Diseases 3037.5
BEN 515Instrumental Analysis of Biomolecules3037.5
BEN 516Protein Structure, Function and Engineering3037.5
BEN 517Biomimetics3037.5
BEN 518Biophysics and Application of Biophysics3037.5
BEN 519Advanced Bioinformatics3037.5
BEN 520Functional Oligonucleotides3037.5
BEN 521Structure, Property and Processing Relations in Polymers3037.5
BEN 522Advanced Medical Image Analysis3037.5
BEN 523Synthesis and Characterization of Nanomaterials3037.5
CE 531Machine Learning3037.5
CE 533Artificial Intelligence3037.5
CE 536Human-Computer Interaction3037.5
CE 609Advanced Numerical Analysis3037.5
EEE 501Applied Digital Image Processing3037.5
EEE 502Pattern Recognition3037.5
EEE 505Biomedical Signals and Instrumentations3037.5
EEE 551Linear Systems Theory3037.5
MATH 602Advanced Linear Algebra and Optimization3037.5
Restricted Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
Additional Notes

Students are required to have a total of 120 ECTS in order to complete their thesis graduate program.

In order to graduate from Thesis Program, students are required to take 7 courses (1 compulsory + 6 electives), a seminar and a master's thesis.

-At least one from the following three courses must be taken as an elective: BEN 502, BEN 503, or BEN 504.

-At least 2 electives must be chosen from BEN courses.

The Master's program with thesis is mainly prepared for 2 academic years. Program language is English and registered students are required to complete all obligations in this language. There are 3 basic criteria for completion of the Master's program:

- Successful completion of basic, specialized and elective courses to complete at least 21 IUE credits,

- To have a GPA of at least 3.00 out of 4.00 on the basis of the grading system of Izmir University of Economics (Students must take at least CC from the credited courses and the non-credit courses must be S-Successful),

- Completion and defense of master's thesis and approval by the thesis committee.

 

 

If you need support for these courses due to your disability, please refer to Disability Support Unit. Contact; engelsiz@ieu.edu.tr