Course Catalog 2007-2008

SGN-1107 INTRODUCTORY SIGNAL PROCESSING, 4 cr
Introductory Signal Processing

Courses persons responsible
Karen Eguiazarian

Lecturers
Karen Eguiazarian
Atanas Gotchev

Lecturetimes and places
Per I: Wednesday 12 - 14, TB222
Per I: Friday 12 - 14, TB222

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture 4 h/week - - - - -
Exercise 3 h/week - - - - -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Student has knowledge about basic signal processing concepts such as discrete-time signals and systems, sampling, z-transform, analysis and structures for discrete-time systems, discrete Fourier transform.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Discrete-time signals and systems.       
2. Sampling, z-transform and discrete Fourier transform.       
3. Analysis and structures for discrete-time systems.       

Requirements for completing the course
Final exam and exercises, including small homeworks. 70% of lectures and 100% of exercises have mandatory attendance. All the homeworks have to be returned before taking the final exam.

Evaluation criteria for the course

  • Course is graded according to exam answers, homeworks. Exam acceptance threshold is half of the maximum exam points. Course grade is formed from 70% of the exam result and 30% of homeworks.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Book "Digital Signal Processing: A Computer-Based Approach" Sanjit K. Mitra 0073048372 / 0072865466 http://catalogs.mhhe.com/mhhe/viewProductDetails.do?isbn=0073048372 3rd edition, McGraw-Hill, 2005 Yes  English 
    Summary of lectures "Introductory Signal Processing" Karen Eguiazarian       Yes  English 

    Prerequisites
    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    Basic knowledge on complex numbers and matrix algebra are required.

    Remarks

    Courses SGN-1107 and SGN-1200 are mutually exclusive. Only one can be taken.

    Distance learning

  • ITC utilized during the course

    • - In distributing and/or returning exercise work, material etc

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 60 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 40 %

    Scaling
    Methods of instructionHours
    Lectures 36
    Exercises 36
    Assignments 15

    Other scaledHours
    Preparation for exam 15
    Exam/midterm exam 3
    Total sum 105

    Principles and starting points related to the instruction and learning of the course

  • Fundamental theory is presented at lectures and practised at classroom exercises. Classroom exercises include both exercises and computer-based exercices.

    • Correspondence of content
    SGN-1106 Introductory Signal Processing

    Course homepage

    Last modified 17.04.2007
    Modified bySari Peltonen