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Syllabus Introduction to signal processing and data analysis - 78852
עברית
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Last update 16-10-2018
HU Credits: 3

Degree/Cycle: 2nd degree (Master)

Responsible Department: Brain & Behavioral Sciences

Semester: 1st Semester

Teaching Languages: Hebrew

Campus: E. Safra

Course/Module Coordinator: Dr. Tsevi Beatus

Coordinator Email: tsevi.beatus@mail.huji.ac.il

Coordinator Office Hours: Thursday 11:00-12:00

Teaching Staff:
Dr. Tsevi Beatus
Mr.

Course/Module description:
An introductory course to basic concepts in data analysis and signal processing, and their implementation in Matlab. These skills are important for research in the life sciences and bio-enginerring, particularly in fields that involve measurements such as microscopy, spectroscopy, motion tracking, as well as work with large databases. The course is open also for 3rd year undergraduate students, under approval by the lecturer.

Course/Module aims:
1. Analyze spatiotemporal and visual data.
2. Formulate and solve numerical models.
3. Fit a model to data.
4. Students will also practice how to independently acquire new programming skills required for their own research.

Learning outcomes - On successful completion of this module, students should be able to:
See "Course aims".

Attendance requirements(%):
None

Teaching arrangement and method of instruction: Lecture and TA in a computer lab

Course/Module Content:
1. Basic programming in Matlab.
2. Image and video analysis.
3. Analyzing spatiotemporal data (filtering, numerical differentiation, autocorrelation, spectral analysis).
4. Numerical modeling (model fitting, modeling using ordinary differential equations).

Required Reading:
Will be given during the course.

Additional Reading Material:
-

Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 40 %
Assignments 50 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 10 %
Attendance and participation

Additional information:
-
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
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