Zahra Narimani

Assistant Professor at Department of Computer Science and Information Technology

Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran


Contact information

narimani iasbs.ac.ir

+98 24 3315 3374

Institute for Advanced Studies in Basic Sciences (IASBS), No. 444, Prof. Yousef Sobouti Blvd., Zanjan 45137-66731, Iran



The International Conference on Contemporary Issues In Data Science

Conference homepage

March 5-8, 2019

Institute for Advanced Studies in Basic Sciences (IASBS)


Course Director

  • Zahra Narimani
    Assistant Professor
    narimani iasbs.ac.ir

Courses

Python Programming
This course is an introduction to Python programming, with focus on algorithms and also data science.
After this course, a student should be able to write computer programs in python, design algorithms for solving problems, and be able to work with existing libraries. Hopefully, after this course, a student is mature enough in programming to solve his/her problems using existng resources (online or books) and also be able to learn other languages more easily.

Teacher Assistants: Amirmahdi Zhalefar, Ahmad Movahedian-Darvishani, Ali Kianfar, Mohammad reza Eslami

Course syllabus Resources

Data Mining
This course is an introduction to Data Mining. Knowledge discovery process, including data preprocessing, pattern extraction and data mining techniques, pattern evaluation, and a brief introduction to visualization will be discussed in this course.
This course is project-based, and after this course, a student should be able to be a part of data analysis projects in general context.

Course syllabus Resources

Computational Data Mining
This course is an introduction to data mining that focuses on matrix methods and features real-world applications ranging from classication and clustering to dimensionality reduction and data visualiation. Mathematical topics covered include: linear equations, regression, the singular value decomposition, and iterative algorithms. Students are expected to have taken a course in calculus and have exposure to numerical computing (e.g. Matlab, Python, R).

میانترم در روز بیست و پنجم بهمن برگزار میشود. زمان 14 الی 15:30.
توضیحات پروژه پایانی در گروه تلگرام قرار داده شده است. ددلاین 15 اسفندماه است.


Course syllabus Lecture slides

Seminar
This course will provide a genral overview on skills such as doing scientific research, writing a scientific report, and presentation.

Course syllabus Resources