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Wednesday, March 4, 2020
Mevlana Student Mobility
The
Mevlana student exchange program applications for the academic year
2020/2021 have started. Applications can be made until 11th of
March 2020. Please find attached the Mobility Form for student,
Student Application form and the student information form. The results will be
announced on 18th of March 2020.
Please
find below details for the staff mobility and for further details please visit
the webpage
Application
conditions
· Academic cumulative average
requirement for undergraduate / graduate students is 2,50/4,00 (Students
currently enrolled in 3rd to 7th semester can apply)
· Academic cumulative average
requirement for MS / PhD students is 3,00/4,00 (students enrolled in 2nd
Semester and onwards can apply)
· Foreign language exam minimum
passing score is 60
· The evaluation criteria and weighted
scores to be used in evaluating the 2020/2021 academic year applications are as
follows:
Academic success level: 50%
Language level: 50%
Required
documents for application: Transcript, Language Score Document,
Student Application Form
POLITE NOTICE
All
students and encourage them to avail this opportunity. All application shall be
submitted through relevant Department, duly endorsed by the Head of
Department, to ORIC on or before Wednesday, March 11th, 2020. The
same will be further submitted to the relevant offices.
Click To Download Information
Labels:
ORIC
Monday, March 2, 2020
Dr. Muhammad Tahir of The Department of Physics, Published a Research Paper
Dr. Muhammad Tahir of the Department of
Physics has published a research paper in Energies titled "Fabrication and
Photovoltaic Properties of Organic Solar Cell Based on Zinc Phthalocyanine" The impact factor of the journal is 2.707.
Link of the paper is: https://www.mdpi.com/1996-1073/13/4/962
Mr. Shahid Akbar Demonstrator, Department of Computer Science, Published Three Papers
Mr. Shahid Akbar Demonstrator, Department of
Computer Science, Published three Papers Impact Factor 3.25, 2.78 & 1.13
respectively
Title: DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information IF: 3.25
Title: cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components IF: 3.25
Title: iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition IF:1.13
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